2022-06-12 Preprocessing Enhanced Image Compression for Machine Vision Guo Lu, Xingtong Ge, Tianxiong Zhong, Jing Geng, Qiang Hu arXiv_CV arXiv_CV Quantization Optimization Pose Detection Object_Detection Image_Compression PDF\n2022-06-08 Perceptual Quality Assessment for Fine-Grained Compressed Images Zicheng Zhang, Wei Sun, Wei Wu, Ying Chen, Xiongkuo Min, Guangtao Zhai arXiv_CV arXiv_CV Optimization Pose Image_Compression QA PDF\n2022-05-24 Wavelet Feature Maps Compression for Image-to-Image CNNs Shahaf E. Finder, Yair Zohav, Maor Ashkenazi, Eran Treister arXiv_CV arXiv_CV Segmentation Quantization Semantic_Segmentation Pose Classification Image_Compression CNN PDF\n2022-05-23 Cardiomegaly Detection using Deep Convolutional Neural Network with U-Net Soham S.Sarpotdar arXiv_CV arXiv_CV Classification Deep_Learning Detection GAN Image_Compression Medical CNN PDF\n2022-05-16 Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery Neelanjan Bhowmik, Jack W. Barker, Yona Falinie A. Gaus, Toby P. Breckon arXiv_AI arXiv_AI Quantitative Detection Object_Detection Image_Compression CNN PDF\n2022-05-14 Dense residual Transformer for image denoising Chao Yao, Shuo Jin, Meiqin Liu, Xiaojuan Ban arXiv_CV arXiv_CV Transformer Reconstruction Enhancement Pose Image_Enhancement Action Deep_Learning Denoising Image_Compression CNN PDF\n2022-05-09 SwinIQA: Learned Swin Distance for Compressed Image Quality Assessment Jianzhao Liu, Xin Li, Yanding Peng, Tao Yu, Zhibo Chen arXiv_CV arXiv_CV Transformer Optimization Pose Attention Image_Compression QA PDF\n2022-05-07 Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platforms Yujia Xue, Siming Zheng, Waleed Tahir, Zhengjue Wang, Hao Zhang, Ziyi Meng, Lei Tian, Xin Yuan arXiv_CV arXiv_CV Quantization Pose Image_Compression CNN PDF\n2022-05-04 Joint Image Compression and Denoising via Latent-Space Scalability Saeed Ranjbar Alvar, Mateen Ulhaq, Hyomin Choi, Ivan V. Bajić arXiv_CV arXiv_CV Pose Denoising GAN Image_Compression PDF\n2022-04-26 Estimating the Resize Parameter in End-to-end Learned Image Compression Li-Heng Chen, Christos G. Bampis, Zhi Li, Lukáš Krasula, Alan C. Bovik arXiv_CV arXiv_CV Pose Image_Compression PDF\n2022-04-22 Identity Preserving Loss for Learned Image Compression Jiuhong Xiao, Lavisha Aggarwal, Prithviraj Banerjee, Manoj Aggarwal, Gerard Medioni arXiv_CV arXiv_CV Reconstruction Recognition Pose Face Deep_Learning Image_Compression Inference PDF\n2022-04-18 Neural Space-filling Curves Hanyu Wang, Kamal Gupta, Larry Davis, Abhinav Shrivastava arXiv_CV arXiv_CV Bert Image_Compression PDF\n2022-04-15 Feature Compression for Rate Constrained Object Detection on the Edge Zhongzheng Yuan, Samyak Rawlekar, Siddharth Garg, Elza Erkip, Yao Wang arXiv_CV arXiv_CV Pose Detection Object_Detection Image_Compression PDF\n2022-04-05 Split Hierarchical Variational Compression Tom Ryder, Chen Zhang, Ning Kang, Shifeng Zhang arXiv_CV arXiv_CV Pose Image_Compression PDF\n2022-04-05 FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes Paarth Neekhara, Shehzeen Hussain, Xinqiao Zhang, Ke Huang, Julian McAuley, Farinaz Koushanfar arXiv_AI arXiv_AI Adversarial Pose Face Deep_Learning GAN Image_Compression PDF\n2022-03-30 Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain Lina Guo, Xinjie Shi, Dailan He, Yuanyuan Wang, Rui Ma, Hongwei Qin, Yan Wang arXiv_CV arXiv_CV Knowledge Pose Deep_Learning Image_Compression PDF\n2022-03-22 Satellite Infrastructure/Mission Tradeoffs Matthew Ciolino arXiv_CV arXiv_CV Pose Survey Detection Object_Detection Image_Compression Caption PDF\n2022-03-22 End-to-End Learned Block-Based Image Compression with Block-Level Masked Convolutions and Asymptotic Closed Loop Training Fatih Kamisli arXiv_CV arXiv_CV Gradient_Descent Optimization Image_Compression CNN Prediction PDF\n2022-03-21 Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression Xiaosu Zhu, Jingkuan Song, Lianli Gao, Feng Zheng, Heng Tao Shen arXiv_CV arXiv_CV Quantization Pose Relation Image_Compression PDF\n2022-03-18 Image Storage on Synthetic DNA Using Autoencoders Xavier Pic, Marc Antonini arXiv_AI arXiv_AI Quantization Image_Compression CNN PDF\n2022-03-16 The Devil Is in the Details: Window-based Attention for Image Compression Renjie Zou, Chunfeng Song, Zhaoxiang Zhang arXiv_CV arXiv_CV Transformer Reconstruction Pose Attention Image_Compression CNN PDF\n2022-03-11 aiWave: Volumetric Image Compression with 3-D Trained Affine Wavelet-like Transform Dongmei Xue, Haichuan Ma, Li Li, Dong Liu, Zhiwei Xiong arXiv_CV arXiv_CV 3D Pose Relation Image_Compression PDF\n2022-03-09 Neural Data-Dependent Transform for Learned Image Compression Dezhao Wang, Wenhan Yang, Yueyu Hu, Jiaying Liu arXiv_CV arXiv_CV Reconstruction Optimization Pose Image_Compression PDF\n2022-03-04 Adaptive Cross-Layer Attention for Image Restoration Yancheng Wang, Ning Xu, Chong Chen, Yingzhen Yang arXiv_CV arXiv_CV NAS Super_Resolution Restoration Pose Relation Denoising Attention Image_Compression Inference PDF\n2022-03-04 Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression A. Burakhan Koyuncu, Han Gao, Eckehard Steinbach arXiv_CV arXiv_CV Transformer Pose Attention Image_Compression PDF\n2022-03-04 Transformations in Learned Image Compression from a Communication Perspective Youneng Bao, Fangyang Meng, Wen Tan, Chao Li, Yonghong Tian, Yongsheng Liang arXiv_AI arXiv_AI Quantization Optimization Pose Image_Compression PDF\n2022-02-22 SADN: Learned Light Field Image Compression with Spatial-Angular Decorrelation Kedeng Tong, Xin Jin, Chen Wang, Fan Jiang arXiv_CV arXiv_CV Pose Action Relation Image_Compression PDF\n2022-02-15 Post-Training Quantization for Cross-Platform Learned Image Compression Dailan He, Ziming Yang, Yuan Chen, Qi Zhang, Hongwei Qin, Yan Wang arXiv_CV arXiv_CV Quantization Pose Image_Compression Inference Prediction PDF\n2022-02-09 Reducing Redundancy in the Bottleneck Representation of the Autoencoders Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj arXiv_CV arXiv_CV Reconstruction Unsupervised Pose Relation Denoising Image_Compression PDF\n2022-02-09 Exploring Structural Sparsity in Neural Image Compression Shanzhi Yin, Fanyang Meng, Wen Tan, Chao Li, Youneng Bao, Yongsheng Liang, Wei Liu arXiv_CV arXiv_CV Pose Image_Compression Inference PDF\n2022-02-01 Recognition-Aware Learned Image Compression Maxime Kawawa-Beaudan, Ryan Roggenkemper, Avideh Zakhor arXiv_CV arXiv_CV Recognition Pose Classification Deep_Learning Detection Object_Detection Image_Compression PDF\n2022-01-29 Semantic-assisted image compression Qizheng Sun (1), Caili Guo (1), Yang Yang (1), Jiujiu Chen (1), Xijun Xue (2) ((1) bupt.edu.cn, (2) chinatelecom.cn ) arXiv_CV arXiv_CV Pose Deep_Learning Image_Compression PDF\n2022-01-27 Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder Ankur Mali, Alexander Ororbia, Daniel Kifer, Lee Giles arXiv_CV arXiv_CV Quantization Pose Deep_Learning Image_Compression PDF\n2022-01-27 An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems Ankur Mali, Alexander Ororbia, Daniel Kifer, Lee Giles arXiv_CV arXiv_CV Tracking Optimization Sparse Knowledge Deep_Learning Image_Compression PDF\n2022-01-23 Learning-Driven Lossy Image Compression; A Comprehensive Survey Sonain Jamil, Md. Jalil Piran, MuhibUrRahman arXiv_AI arXiv_AI RNN Adversarial Survey GAN Image_Compression CNN PDF\n2022-01-17 A Novel Framework to Jointly Compress and Index Remote Sensing Images for Efficient Content-Based Retrieval Jun Xiang, Gencer Sumbul, Nimisha Thekke Madam, Begüm Demir arXiv_CV arXiv_CV Image_Caption Image_Retrieval Pose Classification Image_Compression PDF\n2022-01-05 Learning True Rate-Distortion-Optimization for End-To-End Image Compression Fabian Brand, Kristian Fischer, Alexander Kopte, André Kaup arXiv_CV arXiv_CV Optimization Pose Image_Compression Inference PDF\n2022-01-04 DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression Yi Ma, Yongqi Zhai, Ronggang Wang arXiv_CV arXiv_CV Knowledge Pose Face Image_Compression PDF\n2022-01-03 Compression-Resistant Backdoor Attack against Deep Neural Networks Mingfu Xue, Xin Wang, Shichang Sun, Yushu Zhang, Jian Wang, Weiqiang Liu arXiv_CV arXiv_CV Knowledge Pose Image_Compression PDF\n2021-12-28 DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification Aleksandra Ćiprijanović, Diana Kafkes, Gregory Snyder, F. Javier Sánchez, Gabriel Nathan Perdue, Kevin Pedro, Brian Nord, Sandeep Madireddy, Stefan M. Wild arXiv_AI arXiv_AI Adversarial Survey Classification Deep_Learning Image_Compression PDF\n2021-12-27 A Compact Neural Network-based Algorithm for Robust Image Watermarking Hong-Bo Xu, Rong Wang, Jia Wei, Shao-Ping Lu arXiv_CV arXiv_CV Embedding Pose Action Deep_Learning Image_Compression PDF\n2021-12-25 Pseudocylindrical Convolutions for Learned Omnidirectional Image Compression Mu Li, Kede Ma, Jinxing Li, David Zhang arXiv_CV arXiv_CV Pose Image_Compression PDF\n2021-12-16 TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations Shivangi Aneja, Lev Markhasin, Matthias Niessner arXiv_CV arXiv_CV Adversarial Pose Face Image_Compression PDF\n2021-12-16 Adaptation and Attention for Neural Video Coding Nannan Zou, Honglei Zhang, Francesco Cricri, Ramin G. Youvalari, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska Hannuksela, Esa Rahtu arXiv_CV arXiv_CV Pose Attention GAN Image_Compression Inference PDF\n2021-12-16 Towards Robust Neural Image Compression: Adversarial Attack and Model Finetuning Tong Chen, Zhan Ma arXiv_CV arXiv_CV Reconstruction Optimization Adversarial Pose Image_Compression PDF\n2021-12-13 LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network Hochang Rhee, Yeong Il Jang, Seyun Kim, Nam Ik Cho arXiv_CV arXiv_CV Pose Image_Compression PDF\n2021-12-12 DPICT: Deep Progressive Image Compression Using Trit-Planes Jae-Han Lee, Seungmin Jeon, Kwang Pyo Choi, Youngo Park, Chang-Su Kim arXiv_CV arXiv_CV Pose Image_Compression PDF\n2021-12-08 Implicit Neural Representations for Image Compression Yannick Strümpler, Janis Postels, Ren Yang, Luc van Gool, Federico Tombari arXiv_CV arXiv_CV Reconstruction Quantization Pose Attention Image_Compression PDF\n2021-11-28 Low-complexity Rounded KLT Approximation for Image Compression A. P. Radünz, F. M. Bayer, R. J. Cintra arXiv_CV arXiv_CV Pose Relation Image_Compression PDF\n2021-11-25 A Novel Framework for Image-to-image Translation and Image Compression Fei Yang, Yaxing Wang, Luis Herranz, Yongmei Cheng, Mikhail Mozerov arXiv_CV arXiv_CV Quantization Style_Transfer Restoration Pose Image_Compression PDF\n2021-11-17 End-to-end optimized image compression with competition of prior distributions Benoit Brummer, Christophe De Vleeschouwer arXiv_CV arXiv_CV Pose Action Image_Compression CNN Inference PDF\n2021-11-16 Online Meta Adaptation for Variable-Rate Learned Image Compression Wei Jiang, Wei Wang, Songnan Li, Shan Liu arXiv_CV arXiv_CV Reconstruction Quantization Image_Compression PDF\n2021-11-12 Transformer-based Image Compression Ming Lu, Peiyao Guo, Huiqing Shi, Chuntong Cao, Zhan Ma arXiv_CV arXiv_CV Transformer Reconstruction Attention Image_Compression CNN PDF\n2021-11-03 Learned Image Compression for Machine Perception Felipe Codevilla, Jean Gabriel Simard, Ross Goroshin, Chris Pal arXiv_CV arXiv_CV Reconstruction Segmentation Classification Detection Image_Compression PDF\n2021-10-31 Learned Image Compression with Separate Hyperprior Decoders Zhao Zan, Chao Liu, Heming Sun, Xiaoyang Zeng, Yibo Fan arXiv_CV arXiv_CV Pose Image_Compression PDF\n2021-10-18 Video Coding for Machine: Compact Visual Representation Compression for Intelligent Collaborative Analytics Wenhan Yang, Haofeng Huang, Yueyu Hu, Ling-Yu Duan, Jiaying Liu arXiv_CV arXiv_CV Segmentation Optimization Relation Image_Compression PDF\n2021-10-10 Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery Thomas W. Webb, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon arXiv_AI arXiv_AI Detection Object_Detection Image_Compression CNN Inference PDF\n2021-10-08 Quantum pixel representations and compression for $N$-dimensional images Mercy G. Amankwah, Daan Camps, E. Wes Bethel, Roel Van Beeumen, Talita Perciano arXiv_CV arXiv_CV Pose Image_Compression PDF\n2021-10-06 Learning Sparse Masks for Diffusion-based Image Inpainting Tobias Alt, Pascal Peter, Joachim Weickert arXiv_CV arXiv_CV Reconstruction Inpainting Sparse Image_Compression PDF\n2021-09-30 HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning Baocheng Sun, Meng Gu, Dailan He, Tongda Xu, Yan Wang, Hongwei Qin arXiv_CV arXiv_CV Reinforcement_Learning Optimization Knowledge Pose Image_Compression PDF\n2021-09-30 End-to-End Image Compression with Probabilistic Decoding Haichuan Ma, Dong Liu, Cunhui Dong, Li Li, Feng Wu arXiv_CV arXiv_CV Reconstruction Pose Image_Compression PDF\n2021-09-20 Interpolation variable rate image compression Zhenhong Sun, Zhiyu Tan, Xiuyu Sun, Fangyi Zhang, Yichen Qian, Dongyang Li, Hao Li arXiv_CV arXiv_CV Pose Attention Image_Compression PDF\n2021-09-18 iWave3D: End-to-end Brain Image Compression with Trainable 3-D Wavelet Transform Dongmei Xue, Haichuan Ma, Li Li, Dong Liu, Zhiwei Xiong arXiv_CV arXiv_CV 3D Pose Image_Compression CNN PDF\n2021-09-05 Image Compression with Recurrent Neural Network and Generalized Divisive Normalization Khawar Islam, L. Minh Dang, Sujin Lee, Hyeonjoon Moon arXiv_CV arXiv_CV Reconstruction Quantization RNN Pose Deep_Learning Attention Image_Compression PDF\n2021-08-24 Lossy Medical Image Compression using Residual Learning-based Dual Autoencoder Model Dipti Mishra, Satish Kumar Singh, Rajat Kumar Singh arXiv_AI arXiv_AI Pose Image_Compression Medical PDF\n2021-08-24 Lossless Image Compression Using a Multi-Scale Progressive Statistical Model Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Nannan Zou, Emre Aksu, Miska M. Hannuksela arXiv_CV arXiv_CV Pose Deep_Learning Image_Compression Inference PDF\n2021-08-23 Learned Image Coding for Machines: A Content-Adaptive Approach Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi-Youvalari, Hamed Rezazadegan Tavakoli, Esa Rahtu arXiv_CV arXiv_CV Pose Image_Compression Inference PDF\n2021-08-21 Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform Myungseo Song, Jinyoung Choi, Bohyung Han arXiv_CV arXiv_CV Pose Classification Image_Compression Image_Classification PDF\n2021-08-21 Supervised Compression for Resource-constrained Edge Computing Systems Yoshitomo Matsubara, Ruihan Yang, Marco Levorato, Stephan Mandt arXiv_CV arXiv_CV Knowledge Deep_Learning Image_Compression Medical Drone PDF\n2021-08-18 Singular Value Decomposition of Images from Scanned Photographic Plates Vasil Kolev, Katya Tsvetkova, Milcho Tsvetkov arXiv_CV arXiv_CV Image_Compression PDF\n2021-08-18 Compressed sensing of astronomical images:orthogonal wavelets domains Vasil Kolev arXiv_CV arXiv_CV Image_Compression PDF\n2021-08-11 Towards Top-Down Just Noticeable Difference Estimation of Natural Images Qiuping Jiang, Zhentao Liu, Shiqi Wang, Feng Shao, Weisi Lin arXiv_CV arXiv_CV Reconstruction Pose Action Image_Compression PDF\n2021-08-08 Enhanced Invertible Encoding for Learned Image Compression Yueqi Xie, Ka Leong Cheng, Qifeng Chen arXiv_CV arXiv_CV Pose Deep_Learning Image_Compression PDF\n2021-07-19 OSLO: On-the-Sphere Learning for Omnidirectional images and its application to 360-degree image compression Navid Mahmoudian Bidgoli, Roberto G. de A. Azevedo, Thomas Maugey, Aline Roumy, Pascal Frossard arXiv_CV arXiv_CV Pose Deep_Learning Image_Compression CNN PDF\n2021-07-19 Quality and Complexity Assessment of Learning-Based Image Compression Solutions João Dick, Brunno Abreu, Mateus Grellert, Sergio Bampi arXiv_CV arXiv_CV Image_Compression PDF\n2021-07-18 ANFIC: Image Compression Using Augmented Normalizing Flows Yung-Han Ho, Chih-Chun Chan, Wen-Hsiao Peng, Hsueh-Ming Hang, Marek Domanski arXiv_CV arXiv_CV Image_Compression PDF\n2021-07-14 Learned Image Compression with Discretized Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules Haisheng Fu, Feng Liang, Jianping Lin, Bing Li, Mohammad Akbari, Jie Liang, Guohe Zhang, Dong Liu, Chengjie Tu, Jingning Han arXiv_CV arXiv_CV Pose Deep_Learning Image_Compression PDF\n2021-07-08 Optimizing Data Processing in Space for Object Detection in Satellite Imagery Martina Lofqvist, José Cano arXiv_CV arXiv_CV Detection Object_Detection Image_Compression CNN PDF\n2021-07-07 Pragmatic Image Compression for Human-in-the-Loop Decision-Making Siddharth Reddy, Anca D. Dragan, Sergey Levine arXiv_CV arXiv_CV Handwriting Face Action Image_Compression PDF\n2021-07-01 Intrinsic Image Transfer for Illumination Manipulation Junqing Huang, Michael Ruzhansky, Qianying Zhang, Haihui Wang arXiv_CV arXiv_CV Enhancement Optimization Knowledge Image_Enhancement Face Image_Compression PDF\n2021-06-29 SALYPATH: A Deep-Based Architecture for visual attention prediction Mohamed Amine Kerkouri, Marouane Tliba, Aladine Chetouani, Rachid Harba arXiv_CV arXiv_CV Recognition Salient Pose Attention Image_Compression Caption Prediction PDF\n2021-06-25 Comparison of Lossless Image Formats David Barina arXiv_CV arXiv_CV Image_Compression PDF\n2021-06-24 Rate Distortion Characteristic Modeling for Neural Image Compression Chuanmin Jia, Ziqing Ge, Shanshe Wang, Siwei Ma, Wen Gao arXiv_CV arXiv_CV Optimization Pose Relation GAN Image_Compression PDF\n2021-06-22 Learning-Based Practical Light Field Image Compression Using A Disparity-Aware Model Mohana Singh, Renu M. Rameshan arXiv_CV arXiv_CV Pose Attention Image_Compression PDF\n2021-06-19 Reversible Colour Density Compression of Images using cGANs Arun Jose, Abraham Francis arXiv_CV arXiv_CV Adversarial GAN Image_Compression PDF\n2021-06-02 DeepCompress: Efficient Point Cloud Geometry Compression Ryan Killea, Yun Li, Saeed Bastani, Paul McLachlan arXiv_CV arXiv_CV Point_Cloud 3D Pose Deep_Learning Detection Object_Detection Image_Compression CNN Autonomous PDF\n2021-05-26 CBANet: Towards Complexity and Bitrate Adaptive Deep Image Compression using a Single Network Jinyang Guo, Dong Xu, Guo Lu arXiv_CV arXiv_CV Pose Image_Compression PDF\n2021-05-25 Self-Organized Variational Autoencoders for Learned Image Compression M. Akın Yılmaz, Onur Keleş, Hilal Güven, A. Murat Tekalp, Junaid Malik, Serkan Kıranyaz arXiv_CV arXiv_CV Pose GAN Image_Compression CNN PDF\n2021-05-25 Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello arXiv_AI arXiv_AI Pose Image_Compression CNN PDF\n2021-05-16 Substitutional Neural Image Compression Xiao Wang, Wei Jiang, Wei Wang, Shan Liu, Brian Kulis, Peter Chin arXiv_AI arXiv_AI Image_Compression PDF\n2021-05-07 Neural 3D Scene Compression via Model Compression Berivan Isik arXiv_CV arXiv_CV 3D Image_Compression PDF\n2021-04-20 M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection Junke Wang, Zuxuan Wu, Jingjing Chen, Yu-Gang Jiang arXiv_CV arXiv_CV Transformer Recognition Pose Face Detection Image_Compression Prediction PDF\n2021-04-19 DANICE: Domain adaptation without forgetting in neural image compression Sudeep Katakol, Luis Herranz, Fei Yang, Marta Mrak arXiv_CV arXiv_CV Pose Image_Compression PDF\n2021-04-16 Learning-based Compression for Material and Texture Recognition Yingpeng Deng, Lina J. Karam arXiv_CV arXiv_CV Recognition Classification Image_Compression PDF\n2021-04-13 Spatiotemporal Entropy Model is All You Need for Learned Video Compression Zhenhong Sun, Zhiyu Tan, Xiuyu Sun, Fangyi Zhang, Dongyang Li, Yichen Qian, Hao Li arXiv_CV arXiv_CV Reconstruction Pose Attention Image_Compression Prediction PDF\n2021-04-11 Edge-Aware Image Compression using Deep Learning-based Super-resolution Network Dipti Mishra, Satish Kumar Singh, Rajat Kumar Singh, Krishna Preetham arXiv_CV arXiv_CV Super_Resolution Pose Deep_Learning Image_Compression CNN PDF\n2021-04-06 A Decade of Research for Image Compression In Multimedia Laboratory Shahrokh Paravarzar, Javaneh Alavi arXiv_CV arXiv_CV 3D Image_Compression PDF\n2021-03-31 Learning Scalable $ell_infty$-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression Yuanchao Bai, Xianming Liu, Wangmeng Zuo, Yaowei Wang, Xiangyang Ji arXiv_CV arXiv_CV Reconstruction Optimization Pose Image_Compression Inference PDF\n2021-03-29 Slimmable Compressive Autoencoders for Practical Neural Image Compression Fei Yang, Luis Herranz, Yongmei Cheng, Mikhail G. Mozerov arXiv_CV arXiv_CV Pose Image_Compression PDF\n2021-03-29 Attention-guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton Xi Zhang, Xiaolin Wu arXiv_CV arXiv_CV Reconstruction Sketch Salient Pose Deep_Learning Compressive_Sensing Attention Image_Compression PDF\n2021-03-29 Checkerboard Context Model for Efficient Learned Image Compression Dailan He, Yaoyan Zheng, Baocheng Sun, Yan Wang, Hongwei Qin arXiv_CV arXiv_CV Knowledge Pose GAN Image_Compression PDF\n2021-03-28 Improved Autoregressive Modeling with Distribution Smoothing Chenlin Meng, Jiaming Song, Yang Song, Shengjia Zhao, Stefano Ermon arXiv_CV arXiv_CV Adversarial Image_Compression PDF\n2021-03-12 Thousand to One: Semantic Prior Modeling for Conceptual Coding Jianhui Chang, Zhenghui Zhao, Lingbo Yang, Chuanmin Jia, Jian Zhang, Siwei Ma arXiv_CV arXiv_CV Reconstruction Segmentation Semantic_Segmentation Pose Relation Image_Compression PDF\n2021-03-06 End-to-end optimized image compression for multiple machine tasks Lahiru D. Chamain, Fabien Racapé, Jean Bégaint, Akshay Pushparaja, Simon Feltman arXiv_AI arXiv_AI Segmentation Pose Classification Detection Object_Detection Image_Compression Image_Classification PDF\n2021-03-05 Effects of Image Compression on Face Image Manipulation Detection: A Case Study on Facial Retouching Christian Rathgeb, Kevin Bernardo, Nathania E. Haryanto, Christoph Busch arXiv_CV arXiv_CV Pose Face Detection Image_Compression PDF\n2021-03-04 A Cross Channel Context Model for Latents in Deep Image Compression Changyue Ma, Zhao Wang, Ruling Liao, Yan Ye arXiv_CV arXiv_CV Pose Relation Image_Compression PDF\n2021-03-03 COIN: COmpression with Implicit Neural representations Emilien Dupont, Adam Goliński, Milad Alizadeh, Yee Whye Teh, Arnaud Doucet arXiv_CV arXiv_CV Pose Image_Compression PDF\n2021-03-01 Deep Perceptual Image Quality Assessment for Compression Juan Carlos Mier, Eddie Huang, Hossein Talebi, Feng Yang, Peyman Milanfar arXiv_CV arXiv_CV Pose Deep_Learning Image_Compression PDF\n2021-02-13 Discrete Cosine Transform in JPEG Compression Jacob John arXiv_CV arXiv_CV Image_Compression PDF\n2021-02-04 Progressive Neural Image Compression with Nested Quantization and Latent Ordering Yadong Lu, Yinhao Zhu, Yang Yang, Amir Said, Taco S Cohen arXiv_CV arXiv_CV Quantization Knowledge Image_Compression PDF\n2021-01-24 Image Compression with Encoder-Decoder Matched Semantic Segmentation Trinh Man Hoang, Jinjia Zhou, Yibo Fan arXiv_CV arXiv_CV Segmentation Semantic_Segmentation Pose Image_Compression CNN PDF\n2020-12-31 Learned Multi-Resolution Variable-Rate Image Compression with Octave-based Residual Blocks Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu arXiv_CV arXiv_CV Quantization Enhancement Pose Deep_Learning Image_Compression PDF\n2020-12-19 Consolidated Dataset and Metrics for High-Dynamic-Range Image Quality Aliaksei Mikhailiuk, Maria Perez-Ortiz, Dingcheng Yue, Wilson Suen, Rafal K. Mantiuk arXiv_CV arXiv_CV Pose Image_Compression PDF\n2020-12-17 Learned Block-based Hybrid Image Compression Yaojun Wu, Xin Li, Zhizheng Zhang, Xin Jin, Zhibo Chen arXiv_CV arXiv_CV Pose Relation Image_Compression Prediction PDF\n2020-12-14 Learned Video Codec with Enriched Reconstruction for CLIC P-frame Coding David Alexandre, Hsueh-Ming Hang arXiv_CV arXiv_CV Reconstruction Pose Attention Image_Compression PDF\n2020-12-11 Soft Compression for Lossless Image Coding Gangtao Xin, Pingyi Fan arXiv_AI arXiv_AI Pose Image_Compression PDF\n2020-12-03 How to Exploit the Transferability of Learned Image Compression to Conventional Codecs Jan P. Klopp, Keng-Chi Liu, Liang-Gee Chen, Shao-Yi Chien arXiv_CV arXiv_CV Adversarial Pose GAN Image_Compression CNN PDF\n2020-11-19 Latent-Separated Global Prediction for Learned Image Compression Zongyu Guo, Zhizheng Zhang, Runsen Feng, Simeng Sun, Zhibo Chen arXiv_CV arXiv_CV Reconstruction Pose Relation Attention Image_Compression Prediction PDF\n2020-11-10 End-to-end optimized image compression for machines, a study Lahiru D. Chamain, Fabien Racapé, Jean Bégaint, Akshay Pushparaja, Simon Feltman arXiv_CV arXiv_CV Pose Image_Compression CNN PDF\n2020-10-16 Learning Accurate Entropy Model with Global Reference for Image Compression Yichen Qian, Zhiyu Tan, Xiuyu Sun, Ming Lin, Dongyang Li, Zhenhong Sun, Hao Li, Rong Jin arXiv_CV arXiv_CV Pose Image_Compression PDF\n2020-10-08 Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding Veronica Corona, Yehuda Dar, Carola-Bibiane Schönlieb arXiv_CV arXiv_CV Reconstruction Optimization Regularization Pose Image_Compression Medical PDF\n2020-10-06 Descriptive analysis of computational methods for automating mammograms with practical applications Aparna Bhale, Manish Joshi arXiv_CV arXiv_CV Image_Retrieval Action Classification Image_Compression Image_Classification PDF\n2020-09-30 Enhanced Standard Compatible Image Compression Framework based on Auxiliary Codec Networks Hanbin Son, Taeoh Kim, Hyeongmin Lee, Sangyoun Lee arXiv_CV arXiv_CV Pose Image_Compression PDF\n2020-09-27 Learning to Improve Image Compression without Changing the Standard Decoder Yannick Strümpler, Ren Yang, Radu Timofte arXiv_CV arXiv_CV Quantization Pose Image_Compression PDF\n2020-09-21 Extreme compression of grayscale images Franklin Mendivil, Örjan Stenflo arXiv_CV arXiv_CV Image_Compression PDF\n2020-09-14 Leveraging Domain Knowledge using Machine Learning for Image Compression in Internet-of-Things Prabuddha Chakraborty, Jonathan Cruz, Swarup Bhunia arXiv_CV arXiv_CV Surveillance Reconstruction Recognition Knowledge Pose Image_Compression PDF\n2020-08-24 Lossy Image Compression with Normalizing Flows Leonhard Helminger, Abdelaziz Djelouah, Markus Gross, Christopher Schroers arXiv_CV arXiv_CV Quantization Knowledge Pose Deep_Learning Image_Compression PDF\n2020-08-24 Fidelity-Controllable Extreme Image Compression with Generative Adversarial Networks Shoma Iwai, Tomo Miyazaki, Yoshihiro Sugaya, Shinichiro Omachi arXiv_CV arXiv_CV Reconstruction Adversarial Pose GAN Image_Compression PDF\n2020-08-06 Optical Flow and Mode Selection for Learning-based Video Coding Théo Ladune (IETR), Pierrick Philippe, Wassim Hamidouche (IETR), Lu Zhang (IETR), Olivier Déforges (IETR) arXiv_CV arXiv_CV Pose Image_Compression Optical_Flow Prediction PDF\n2020-07-31 L$^2$C -- Learning to Learn to Compress Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Miska Hannuksela, Emre Aksu, Esa Rahtu arXiv_CV arXiv_CV Super_Resolution Optimization Pose Image_Compression Inference PDF\n2020-07-29 Deep Image Compression using Decoder Side Information Sharon Ayzik, Shai Avidan arXiv_CV arXiv_CV Relation Image_Compression PDF\n2020-07-28 On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures Matt Poyser, Amir Atapour-Abarghouei, Toby P. Breckon arXiv_CV arXiv_CV Image_Caption Segmentation Quantization Semantic_Segmentation Recognition Pose_Estimation Adversarial Pose Action_Recognition Action Classification Deep_Learning Detection Relation Object_Detection GAN Image_Compression CNN Prediction PDF\n2020-07-26 Regularized Flexible Activation Function Combinations for Deep Neural Networks Renlong Jie, Junbin Gao, Andrey Vasnev, Min-ngoc Tran arXiv_CV arXiv_CV RNN Regularization Knowledge Pose Image_Compression CNN PDF\n2020-07-21 Accelerating Deep Learning Applications in Space Martina Lofqvist, José Cano arXiv_CV arXiv_CV Deep_Learning Detection Object_Detection Image_Compression CNN Autonomous Inference PDF\n2020-07-19 Full Quaternion Representation of Color images: A Case Study on QSVD-based Color Image Compression Alireza Parchami, Mojtaba Mahdavi arXiv_CV arXiv_CV Pose Relation Image_Compression PDF\n2020-07-17 Channel-wise Autoregressive Entropy Models for Learned Image Compression David Minnen, Saurabh Singh arXiv_CV arXiv_CV Enhancement Image_Compression Prediction PDF\n2020-07-15 Channel-Level Variable Quantization Network for Deep Image Compression Zhisheng Zhong, Hiroaki Akutsu, Kiyoharu Aizawa arXiv_CV arXiv_CV Reconstruction Quantization Pose Quantitative Image_Compression CNN PDF\n2020-07-07 C2G-Net: Exploiting Morphological Properties for Image Classification Laurin Herbsthofer, Barbara Prietl, Martina Tomberger, Thomas Pieber, Pablo López-García arXiv_CV arXiv_CV Segmentation Pose Classification Image_Compression Image_Classification Prediction PDF\n2020-07-03 Perceptually Optimizing Deep Image Compression Li-Heng Chen, Christos G. Bampis, Zhi Li, Andrey Norkin, Alan C. Bovik arXiv_CV arXiv_CV Optimization Pose Quantitative Image_Compression PDF\n2020-06-30 Early Exit Or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images Qunliang Xing, Mai Xu, Tianyi Li, Zhenyu Guan arXiv_CV arXiv_CV Enhancement Pose Image_Compression PDF\n2020-06-22 Locally Masked Convolution for Autoregressive Models Ajay Jain, Pieter Abbeel, Deepak Pathak arXiv_CV arXiv_CV Detection Image_Compression CNN PDF\n2020-06-22 Modeling Lost Information in Lossy Image Compression Yaolong Wang, Mingqing Xiao, Chang Liu, Shuxin Zheng, Tie-Yan Liu arXiv_CV arXiv_CV Pose Image_Compression PDF\n2020-06-19 A Multiparametric Class of Low-complexity Transforms for Image and Video Coding D. R. Canterle, T. L. T. da Silveira, F. M. Bayer, R. J. Cintra arXiv_CV arXiv_CV Optimization Image_Compression PDF\n2020-06-19 Concatenated Attention Neural Network for Image Restoration Tian YingJie, Wang YiQi, Yang LinRui, Qi ZhiQuan arXiv_CV arXiv_CV Restoration Action Denoising Attention Image_Compression PDF\n2020-06-18 Fourth-Order Anisotropic Diffusion for Inpainting and Image Compression Ikram Jumakulyyev, Thomas Schultz arXiv_CV arXiv_CV Reconstruction Inpainting Image_Compression Medical PDF\n2020-06-17 High-Fidelity Generative Image Compression Fabian Mentzer, George Toderici, Michael Tschannen, Eirikur Agustsson arXiv_CV arXiv_CV Reconstruction Adversarial Quantitative GAN Image_Compression PDF\n2020-06-08 Neural Sparse Representation for Image Restoration Yuchen Fan, Jiahui Yu, Yiqun Mei, Yulun Zhang, Yun Fu, Ding Liu, Thomas S. Huang arXiv_CV arXiv_CV Super_Resolution Restoration Sparse Denoising Image_Compression PDF\n2020-06-03 Variational Quantum Singular Value Decomposition Xin Wang, Zhixin Song, Youle Wang arXiv_AI arXiv_AI Pose Image_Compression Recommendation PDF\n2020-05-24 JPAD-SE: High-Level Semantics for Joint Perception-Accuracy-Distortion Enhancement in Image Compression Shiyu Duan, Huaijin Chen, Jinwei Gu arXiv_CV arXiv_CV Enhancement Optimization Quantitative Image_Compression PDF\n2020-05-10 Learning Context-Based Non-local Entropy Modeling for Image Compression Mu Li, Kai Zhang, Wangmeng Zuo, Radu Timofte, David Zhang arXiv_CV arXiv_CV Optimization Pose Deep_Learning Attention Image_Compression CNN PDF\n2020-04-22 Distributed Learning and Inference with Compressed Images Sudeep Katakol, Basem Elbarashy, Luis Herranz, Joost van de Weijer, Antonio M. Lopez arXiv_CV arXiv_CV Segmentation Semantic_Segmentation Restoration Adversarial Pose GAN Image_Compression Autonomous Inference PDF\n2020-04-21 Towards Analysis-friendly Face Representation with Scalable Feature and Texture Compression Shurun Wang, Shiqi Wang, Wenhan Yang, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Wen Gao arXiv_CV arXiv_CV Reconstruction Enhancement Optimization Pose Face Action Deep_Learning Image_Compression PDF\n2020-04-17 Quantization Guided JPEG Artifact Correction Max Ehrlich, Ser-Nam Lim, Larry Davis, Abhinav Shrivastava arXiv_CV arXiv_CV Quantization Image_Compression PDF\n2020-04-15 Extending Unsupervised Neural Image Compression With Supervised Multitask Learning David Tellez, Diederik Hoppener, Cornelis Verhoef, Dirk Grunhagen, Pieter Nierop, Michal Drozdzal, Jeroen van der Laak, Francesco Ciompi arXiv_CV arXiv_CV Unsupervised Pose Relation Image_Compression CNN PDF\n2020-04-08 Variable Rate Video Compression using a Hybrid Recurrent Convolutional Learning Framework Aishwarya Jadhav arXiv_CV arXiv_CV Pose Relation Image_Compression CNN Prediction PDF\n2020-04-08 Image Segmentation Using Deep Learning: A Survey Shervin Minaee, Yuri Boykov, Fatih Porikli, Antonio Plaza, Nasser Kehtarnavaz, Demetri Terzopoulos arXiv_CV arXiv_CV Surveillance Segmentation Review Adversarial Survey Deep_Learning Attention Image_Compression Medical CNN PDF\n2020-04-06 Lossless Image Compression through Super-Resolution Sheng Cao, Chao-Yuan Wu, Philipp Krähenbühl arXiv_CV arXiv_CV Super_Resolution Image_Compression PDF\n2020-03-27 Image compression optimized for 3D reconstruction by utilizing deep neural networks Alex Golts, Yoav Y. Schechner arXiv_CV arXiv_CV Reconstruction 3D RNN Pose Image_Compression PDF\n2020-03-23 Learning Better Lossless Compression Using Lossy Compression Fabian Mentzer, Luc Van Gool, Michael Tschannen arXiv_CV arXiv_CV Reconstruction Pose Image_Compression CNN PDF\n2020-03-18 Object-Based Image Coding: A Learning-Driven Revisit Qi Xia, Haojie Liu, Zhan Ma arXiv_CV arXiv_CV Reconstruction Segmentation Pose Image_Compression PDF\n2020-03-17 Learning to Structure an Image with Few Colors Yunzhong Hou, Liang Zheng, Stephen Gould arXiv_CV arXiv_CV Quantization Pose Classification Image_Compression PDF\n2020-03-13 An End-to-End Joint Learning Scheme of Image Compression and Quality Enhancement with Improved Entropy Minimization Jooyoung Lee, Seunghyun Cho, Munchurl Kim arXiv_CV arXiv_CV Enhancement Knowledge Pose Image_Compression PDF\n2020-03-05 Optimizing JPEG Quantization for Classification Networks Zhijing Li, Christopher De Sa, Adrian Sampson arXiv_CV arXiv_CV Quantization Optimization Classification Deep_Learning Image_Compression PDF\n2020-03-04 G-VAE: A Continuously Variable Rate Deep Image Compression Framework Ze Cui, Jing Wang, Bo Bai, Tiansheng Guo, Yihui Feng arXiv_CV arXiv_CV Pose Image_Compression PDF\n2020-03-04 Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte arXiv_CV arXiv_CV Enhancement Pose Deep_Learning Image_Compression PDF\n2020-02-24 Generalized Octave Convolutions for Learned Multi-Frequency Image Compression Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu arXiv_CV arXiv_CV Reconstruction Pose Image_Compression PDF\n2020-02-19 Hierarchical Quantized Autoencoders Will Williams, Sam Ringer, Tom Ash, John Hughes, David MacLeod, Jamie Dougherty arXiv_CV arXiv_CV Reconstruction Quantization Quantitative Image_Compression PDF\n2020-02-18 Variable-Bitrate Neural Compression via Bayesian Arithmetic Coding Yibo Yang, Robert Bamler, Stephan Mandt arXiv_CV arXiv_CV Embedding Pose Image_Compression PDF\n2020-02-17 Discernible Compressed Images via Deep Perception Consistency Zhaohui Yang, Yunhe Wang, Chao Xu, Chang Xu arXiv_CV arXiv_CV Recognition Pose Detection Object_Detection Attention Image_Compression PDF\n2020-02-12 Hierarchical Auto-Regressive Model for Image Compression Incorporating Object Saliency and a Deep Perceptual Loss Yash Patel, Srikar Appalaraju, R. Manmatha arXiv_CV arXiv_CV Segmentation Salient Pose Detection Object_Detection Image_Compression PDF\n2020-02-11 A Unified End-to-End Framework for Efficient Deep Image Compression Jiaheng Liu, Guo Lu, Zhihao Hu, Dong Xu arXiv_CV arXiv_CV Enhancement Pose Relation Attention Image_Compression PDF\n2020-02-10 Learning End-to-End Lossy Image Compression: A Benchmark Yueyu Hu, Wenhan Yang, Zhan Ma, Jiaying Liu arXiv_CV arXiv_CV Reconstruction Review Survey GAN Image_Compression PDF\n2020-02-10 Ultra High Fidelity Image Compression with $ell_infty$-constrained Encoding and Deep Decoding Xi Zhang, Xiaolin Wu arXiv_CV arXiv_CV Reconstruction Restoration Image_Compression PDF\n2020-01-18 A GAN-based Tunable Image Compression System Lirong Wu, Kejie Huang, Haibin Shen arXiv_CV arXiv_CV Adversarial Pose GAN Image_Compression PDF\n2019-12-11 Learned Variable-Rate Image Compression with Residual Divisive Normalization Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu arXiv_CV arXiv_CV Quantization Enhancement Pose Deep_Learning Image_Compression PDF\n2019-12-11 Variable Rate Deep Image Compression with Modulated Autoencoder Fei Yang, Luis Herranz, Joost van de Weijer, José A. Iglesias Guitián, Antonio López, Mikhail Mozerov arXiv_CV arXiv_CV Optimization Pose Image_Compression PDF\n2019-12-11 BINet: a binary inpainting network for deep patch-based image compression André Nortje, Willie Brink, Herman A. Engelbrecht, Herman Kamper arXiv_CV arXiv_CV Reconstruction Inpainting Pose Deep_Learning Image_Compression PDF\n2019-11-20 Sibling Neural Estimators: Improving Iterative Image Decoding with Gradient Communication Ankur Mali, Alexander G. Ororbia, Clyde Lee Giles arXiv_CV arXiv_CV Reconstruction RNN Pose Image_Compression PDF\n2019-11-01 Deep Generative Video Compression Jun Han, Salvator Lombardo, Christopher Schroers, Stephan Mandt arXiv_CV arXiv_CV Pose Image_Compression Prediction PDF\n2019-10-19 ProxIQA: A Proxy Approach to Perceptual Optimization of Learned Image Compression Li-Heng Chen, Christos G. Bampis, Zhi Li, Andrey Norkin, Alan C. Bovik arXiv_CV arXiv_CV Optimization Quantitative Image_Compression QA PDF\n2019-10-16 Parallel Wavelet Schemes for Images David Barina, Michal Kula, Pavel Zemcik arXiv_CV arXiv_CV Pose Image_Compression PDF\n2019-10-08 Lossy Image Compression with Recurrent Neural Networks: from Human Perceived Visual Quality to Classification Accuracy Maurice Weber, Cedric Renggli, Helmut Grabner, Ce Zhang arXiv_CV arXiv_CV Reconstruction RNN Pose Classification Image_Compression Inference PDF\n2019-09-25 Non-negative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications Elizabeth Newman, Misha E. Kilmer arXiv_CV arXiv_CV Restoration Pose Image_Compression PDF\n2019-09-23 Human Synthesis and Scene Compositing Mihai Zanfir, Elisabeta Oneata, Alin-Ionut Popa, Andrei Zanfir, Cristian Sminchisescu arXiv_CV arXiv_CV 3D Pose Quantitative Image_Compression PDF\n2019-09-22 To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis? Can Peng, Kun Zhao, Arnold Wiliem, Teng Zhang, Peter Hobson, Anthony Jennings, Brian C. Lovell arXiv_CV arXiv_CV Detection Relation Object_Detection Image_Compression PDF\n2019-09-11 Variable Rate Deep Image Compression With a Conditional Autoencoder Yoojin Choi, Mostafa El-Khamy, Jungwon Lee arXiv_CV arXiv_CV Quantization Pose Image_Compression PDF\n2019-09-09 A Comprehensive Benchmark for Single Image Compression Artifacts Reduction Jiaying Liu, Dong Liu, Wenhan Yang, Sifeng Xia, Xiaoshuai Zhang, Yuanying Dai arXiv_CV arXiv_CV Quantization Optimization Review Survey Deep_Learning Image_Compression PDF\n2019-08-09 DSIC: Deep Stereo Image Compression Jerry Liu, Shenlong Wang, Raquel Urtasun arXiv_CV arXiv_CV Image_Compression PDF\n2019-08-09 Human Perceptual Evaluations for Image Compression Yash Patel, Srikar Appalaraju, R. Manmatha arXiv_CV arXiv_CV Deep_Learning Image_Compression PDF\n2019-07-29 Automatic Text Line Segmentation Directly in JPEG Compressed Document Images Bulla Rajesh, Mohammed Javed, P Nagabhushan arXiv_CV arXiv_CV Segmentation Pose Image_Compression PDF\n2019-07-18 Deep Perceptual Compression Yash Patel, Srikar Appalaraju, R. Manmatha arXiv_CV arXiv_CV Pose Detection Image_Compression PDF\n2019-07-08 Fully Convolutional Network for Removing DCT Artefacts From Images Patryk Najgebauer, Rafal Scherer arXiv_CV arXiv_CV Reconstruction Super_Resolution Pose Deep_Learning Image_Compression CNN PDF\n2019-07-05 High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN Reconstruction Diego Valsesia, Enrico Magli arXiv_CV arXiv_CV Reconstruction Quantization Image_Compression CNN Prediction PDF\n2019-07-03 A Deep Image Compression Framework for Face Recognition Nai Bian, Feng Liang, Haisheng Fu, Bo Lei arXiv_CV arXiv_CV Reconstruction Recognition Optimization Pose Face Face_Recognition Image_Compression CNN PDF\n2019-07-02 Multi-Cue Vehicle Detection for Semantic Video Compression In Georegistered Aerial Videos Noor Al-Shakarji, Filiz Bunyak, Hadi Aliakbarpour, Guna Seetharaman, Kannappan Palaniappan arXiv_CV arXiv_CV Pose Deep_Learning Detection Object_Detection Image_Compression Drone PDF\n2019-06-24 Efficient and Effective Context-Based Convolutional Entropy Modeling for Image Compression Mu Li, Kede Ma, Jane You, David Zhang, Wangmeng Zuo arXiv_CV arXiv_CV 3D Pose Image_Compression CNN PDF\n2019-06-11 Simultaneously Learning Architectures and Features of Deep Neural Networks Tinghuai Wang, Lixin Fan, Huiling Wang arXiv_CV arXiv_CV Optimization Regularization Pose Classification Image_Compression Image_Classification PDF\n2019-06-04 Towards Lossless Encoding of Sentences Gabriele Prato, Mathieu Duchesneau, Sarath Chandar, Alain Tapp arXiv_CL arXiv_CL Embedding Pose Sentiment Attention Image_Compression PDF\n2019-05-27 Attention Based Image Compression Post-Processing Convolutional Neural Network Yuyang Xue, Jiannan Su arXiv_CV arXiv_CV Pose Attention Image_Compression CNN PDF\n2019-05-23 Generative Imaging and Image Processing via Generative Encoder Lin Chen, Haizhao Yang arXiv_CV arXiv_CV Inpainting Super_Resolution Optimization Adversarial Pose Denoising GAN Image_Compression CNN PDF\n2019-05-09 Two-layer Near-lossless HDR Coding with Backward Compatibility to JPEG Hiroyuki Kobayashi, Osamu Watanabe, Hitoshi Kiya arXiv_CV arXiv_CV Quantization Sparse Pose Image_Compression PDF\n2019-04-28 X-Ray Image Compression Using Convolutional Recurrent Neural Networks Asif Shahriyar Sushmit, Shakib Uz Zaman, Ahmed Imtiaz Humayun, Taufiq Hasan arXiv_CV arXiv_CV RNN Knowledge Pose Image_Compression Medical CNN PDF\n2019-04-25 JPEG XT Image Compression with Hue Compensation for Two-Layer HDR Coding Hiroyuki Kobayashi, Hitoshi Kiya arXiv_CV arXiv_CV Pose Image_Compression PDF\n2019-04-22 Non-local Attention Optimized Deep Image Compression Haojie Liu, Tong Chen, Peiyao Guo, Qiu Shen, Xun Cao, Yao Wang, Zhan Ma arXiv_CV arXiv_CV Pose Relation Attention Image_Compression PDF\n2019-04-18 Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds Wei Yan, Yiting shao, Shan Liu, Thomas H Li, Zhu Li, Ge Li arXiv_CV arXiv_CV Point_Cloud 3D Knowledge Pose Image_Compression Autonomous PDF\n2019-04-16 Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples Zihao Liu, Qi Liu, Tao Liu, Nuo Xu, Xue Lin, Yanzhi Wang, Wujie Wen arXiv_CV arXiv_CV Quantization Adversarial Pose Classification Image_Compression PDF\n2019-04-09 Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds Zihao Liu, Xiaowei Xu, Tao Liu, Qi Liu, Yanzhi Wang, Yiyu Shi, Wujie Wen, Meiping Huang, Haiyun Yuan, Jian Zhuang arXiv_CV arXiv_CV Segmentation 3D Knowledge Deep_Learning Image_Compression Medical PDF\n2019-04-07 Place-specific Background Modeling Using Recursive Autoencoders Yamaguchi Kousuke, Tanaka Kanji, Sugimoto Takuma, Ide Rino, Takeda Koji arXiv_CV arXiv_CV Reconstruction Pose Detection Image_Compression PDF\n2019-04-05 Deep Predictive Video Compression with Bi-directional Prediction Woonsung Park, Munchurl Kim arXiv_CV arXiv_CV Pose Deep_Learning Attention Image_Compression Optical_Flow Prediction PDF\n2019-04-01 Learning Content-Weighted Deep Image Compression Mu Li, Wangmeng Zuo, Shuhang Gu, Jane You, David Zhang arXiv_CV arXiv_CV Optimization Salient Pose Image_Compression CNN PDF\n2019-03-23 Distributed Lossy Image Compression with Recurrent Networks Enmao Diao, Jie Ding, Vahid Tarokh arXiv_CV arXiv_CV Knowledge Pose Deep_Learning Relation Image_Compression CNN PDF\n2019-03-14 Scalable Facial Image Compression with Deep Feature Reconstruction Shurun Wang, Shiqi Wang, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Wen Gao arXiv_CV arXiv_CV Surveillance Reconstruction Enhancement Pose Deep_Learning Image_Compression PDF\n2019-02-28 Multiple Description Convolutional Neural Networks for Image Compression Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao arXiv_CV arXiv_CV Reconstruction Pose Image_Compression CNN PDF\n2019-02-20 An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU David Alexandre, Chih-Peng Chang, Wen-Hsiao Peng, Hsueh-Ming Hang arXiv_CV arXiv_CV Pose Relation Image_Compression PDF\n2019-02-12 GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt arXiv_CV arXiv_CV Reconstruction Segmentation Semantic_Segmentation Adversarial Pose GAN Image_Compression Autonomous PDF\n2019-01-30 A study for Image compression using Re-Pair algorithm Pasquale De Luca, Vincezo Maria Russiello, Raffaele Ciro Sannino, Lorenzo Valente arXiv_CV arXiv_CV Image_Compression PDF\n2019-01-27 Fast and Efficient Lenslet Image Compression Hadi Amirpour, Antonio Pinheiro, Manuela Pereira, Mohammad Ghanbari arXiv_CV arXiv_CV Image_Caption Pose GAN Image_Compression Prediction PDF\n2019-01-24 Learning to compress and search visual data in large-scale systems Sohrab Ferdowsi arXiv_CV arXiv_CV Unsupervised Pose Compressive_Sensing Denoising Image_Compression PDF\n2019-01-23 Toward Joint Image Generation and Compression using Generative Adversarial Networks Byeongkeun Kang, Subarna Tripathi, Truong Q. Nguyen arXiv_CV arXiv_CV Quantization Adversarial Pose GAN Image_Compression PDF\n2019-01-22 CAE-P: Compressive Autoencoder with Pruning Based on ADMM Haimeng Zhao arXiv_CV arXiv_CV NAS Pose Face Image_Compression PDF\n2019-01-18 A Recent Survey on the Applications of Genetic Programming in Image Processing Asifullah Khan, Aqsa Saeed Qureshi, Noor ul Wahab, Mutawara Hussain, Muhammad Yousaf Hamza arXiv_AI arXiv_AI Recognition Optimization Survey Classification Image_Compression Medical PDF\n2019-01-17 UltraCompression: Framework for High Density Compression of Ultrasound Volumes using Physics Modeling Deep Neural Networks Debarghya China, Francis Tom, Sumanth Nandamuri, Aupendu Kar, Mukundhan Srinivasan, Pabitra Mitra, Debdoot Sheet arXiv_CV arXiv_CV Segmentation Pose Image_Compression CNN PDF\n2018-12-25 Learning based Facial Image Compression with Semantic Fidelity Metric Zhibo Chen, Tianyu He arXiv_CV arXiv_CV Surveillance Recognition Optimization Adversarial Pose Face Face_Recognition GAN Image_Compression PDF\n2018-12-25 Residual Dense Network for Image Restoration Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu arXiv_CV arXiv_CV Super_Resolution Restoration Pose Denoising Image_Compression CNN PDF\n2018-11-30 Practical Full Resolution Learned Lossless Image Compression Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool arXiv_CV arXiv_CV Pose Image_Compression PDF\n2018-11-30 ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Hassan Foroosh arXiv_CV arXiv_CV Reconstruction Adversarial Pose Image_Compression CNN PDF\n2018-11-10 Learned Neural Iterative Decoding for Lossy Image Compression Systems Alexander G. Ororbia, Ankur Mali, Jian Wu, Scott O'Connell, David Miller, C. Lee Giles arXiv_CV arXiv_CV Reconstruction Pose Image_Compression PDF\n2018-11-07 Neural Image Compression for Gigapixel Histopathology Image Analysis David Tellez, Geert Litjens, Jeroen van der Laak, Francesco Ciompi arXiv_CV arXiv_CV Image_Compression CNN PDF\n2018-10-25 Humans are still the best lossy image compressors Ashutosh Bhown, Soham Mukherjee, Sean Yang, Shubham Chandak, Irena Fischer-Hwang, Kedar Tatwawadi, Tsachy Weissman arXiv_CV arXiv_CV Reconstruction Survey Image_Compression PDF\n2018-10-23 Generative Adversarial Networks for Extreme Learned Image Compression Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool arXiv_CV arXiv_CV Adversarial Pose GAN Image_Compression PDF\n2018-10-18 Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction Bolun Zheng, Yaowu Chen, Xiang Tian, Fan Zhou, Xuesong Liu arXiv_CV arXiv_CV Quantization Pose Image_Compression CNN PDF\n2018-09-17 Study and Observation of the Variations of Accuracies for Handwritten Digits Recognition with Various Hidden Layers and Epochs using Neural Network Algorithm Md. Abu Bakr Siddique, Mohammad Mahmudur Rahman Khan, Rezoana Bente Arif, Zahidun Ashrafi arXiv_CV arXiv_CV Recognition Speech Detection GAN Image_Compression Speech_Recognition Prediction PDF\n2018-09-08 Joint Autoregressive and Hierarchical Priors for Learned Image Compression David Minnen, Johannes Ballé, George Toderici arXiv_CV arXiv_CV Optimization Knowledge Deep_Learning Image_Compression PDF\n2018-09-07 Representing Images in 200 Bytes: Compression via Triangulation David Marwood, Pascal Massimino, Michele Covell, Shumeet Baluja arXiv_CV arXiv_CV Review Pose Image_Compression PDF\n2018-08-31 CocoNet: A deep neural network for mapping pixel coordinates to color values Paul Andrei Bricman, Radu Tudor Ionescu arXiv_CV arXiv_CV Knowledge Pose Quantitative Denoising Image_Compression PDF\n2018-08-15 Measuring Human Assessed Complexity in Synthetic Aperture Sonar Imagery Using the Elo Rating System Brian Reinhardt, Isaac Gerg, Daniel Brown, Joonho Park arXiv_CV arXiv_CV Recognition Quantitative Relation Image_Compression PDF\n2018-08-06 X-GANs: Image Reconstruction Made Easy for Extreme Cases Longfei Liu, Sheng Li, Yisong Chen, Guoping Wang arXiv_CV arXiv_CV Reconstruction Inpainting Restoration Sparse Adversarial Pose Face Denoising GAN Image_Compression PDF\n2018-08-02 Two-Layer Lossless HDR Coding using Histogram Packing Technique with Backward Compatibility to JPEG Osamu Watanabe, Hiroyuki Kobayashi, Hitoshi Kiya arXiv_CV arXiv_CV Sparse Pose Image_Compression PDF\n2018-08-01 Mixed-Resolution Image Representation and Compression with Convolutional Neural Networks Lijun Zhao, Huihui Bai, Feng Li, Anhong Wang, Yao Zhao arXiv_CV arXiv_CV Image_Caption Quantization Pose Image_Compression CNN PDF\n2018-07-28 Image Compression Based on Compressive Sensing: End-to-End Comparison with JPEG Xin Yuan, Raziel Haimi-Cohen arXiv_CV arXiv_CV Reconstruction Quantization Pose Compressive_Sensing Image_Compression PDF\n2018-07-11 DSSLIC: Deep Semantic Segmentation-based Layered Image Compression Mohammad Akbari, Jie Liang, Jingning Han arXiv_CV arXiv_CV Reconstruction Segmentation Semantic_Segmentation Enhancement Pose Deep_Learning Image_Compression PDF\n2018-07-10 Learning a Single Tucker Decomposition Network for Lossy Image Compression with Multiple Bits-Per-Pixel Rates Jianrui Cai, Zisheng Cao, Lei Zhang arXiv_CV arXiv_CV Image_Caption Quantization Pose Image_Compression CNN PDF\n2018-07-03 Enlarging Context with Low Cost: Efficient Arithmetic Coding with Trimmed Convolution Mu Li, Shuhang Gu, David Zhang, Wangmeng Zuo arXiv_CV arXiv_CV 3D Pose Image_Compression CNN Prediction PDF\n2018-06-22 Virtual Codec Supervised Re-Sampling Network for Image Compression Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao arXiv_CV arXiv_CV Quantization Pose Image_Compression PDF\n2017-10-15 Vector Quantization using the Improved Differential Evolution Algorithm for Image Compression Sayan Nag arXiv_CV arXiv_CV Quantization Optimization Pose Image_Compression PDF


Kinder – ja oder nein? Darum geht es bei dieser Frage wirklich - WELT\nZeleltlek puttle Oeu pelue Glupel lu elueO Ptlel pehuOOeu, pep letellu plekelplettl, pepp pel Zeekvnekp ulekl uuleellla uelvelpl. Veklpekelutlek velpe plek epel enek pel Bleneu ep Zllle 29 uuu petppl pep 6etekt elupletteu, en etl tel elu Glup nup plpkel pekl anl ukue enpaehuOOeu en pelu. Blepe Bulpekelpnua enp plek kelenp lletteu en houueu lpl elue aeue eupele Peeke, etp veuu ple tel nup eulpeklepeu vllp nup peOll enek uuek ple 6leueeu nupelel Goloel, Blneklpelhell nup Bllpeke enteelal.\nPuttleu ette Zouuel Oll 2b enl UepehluOle aeevnuaeu velpeu?\nZouuel houueu pnlek lkle Oekl upel veulael nupepeklouhle Nenanuaptoklahell pekl ulet touael lu pel Uulplettnua uuu Inaeuptlekhell nup Nenanuaphletl pekvetaeu. Ptp lek Oelueu Zeuu pel, ueek peO evelleu Glup elue UepehluOle uuluekOeu en teppeu, vel pelu PlanOeul peaeaeu, pepp lek tlekeellla plelpeu houule nup el peuu Oll peluel ueneu (ueleltlek lnuaeu) Blen uuek Glupel pehuOOeu houueu vuttle. Vle pelu Uelel, pel lku Oll b2 aeeenal kel. Bep vel ueleltlek elu Pekele, peal el, epel ple UepehluOle kel el llulepeO ule Oeekeu teppeu, nup pepketp houule el enek lu ib Iekleu uuek elue uene BeOltle aleupeu, veuu lkO peueek lpl.\nBe plettl plek ple Bleae, vep vole, veuu plek ette Zouuel Oll 2b eluel NveuapuepehluOle nulelelekeu Oeppleu? Bep velpe lkle Bluplettnua enO Glupelhlleaeu plekeltlek ueloupelu. Znl elu Pekele!\nPnt lepeu Bett lpl ep Bleneu uelvekll, pep Oll peO Glupelhlleaeu aeue eulpoeuul ent plek enhuOOeu en teppeu nup pep uelhtoll ple Bleae: VelnO Glupel? Velt ep pel uoekple tualpeke Pekllll en pelu pekelul, veuu Oeu peu llekllaeu Belluel aetnupeu kel? Velt Oeu etp Blen ep 29 lu eluel tepleu Peeleknua ploupla aetleal vllp, up Oeu Glupel kepeu vltt? Velt Oeu en Oepe vllp, plek en leekltelllaeu, pepp Oeu plepeu Vnupek plp lelel uuek ulekl uelpoell kel? Velt llaeupvep ulekl lleklla pelu heuu, veuu Oeu plepeu Vnupek ulekl uelpoell? Velt ette Blenupluueu enek Glupel kepeu? Velt Oeu elue eluelaelllae Blteklnua ueloeppl? Velt Oeu elueu aluQeu Ielt peluep Uepeuppluup etp Blen ulekl eltettl? Velt elu Uepeu ukue Glupel ulekl uutthuOOeu lpl?\nBp alpl aeuna 6leupe tel elu Glup, veuu Oeu nulel Blneh plekl, elue eluOetlae Pkeuee ueloeppeu en houueu, pepketp Ooekle lek klel elu veula letelluleleu.\nUuu Blen enl Znllel en velpeu lpl elue tepeupueloupelupe IleuptulOelluu lu elueO PnpOeQ, vle ep Zouuel ulekl pealelteu houueu. lpeulllolpelpekellelup. Pu kepe lek ep enOlupepl eltepl. Glupelvnupek pleup pel Oll ule eu. lek vuttle epel enek ulekl lu ple Pllnelluu huOOeu, pep petppl eulpekelpeu en Oeppeu, peuu pep, tektle lek, tea enQelketp Oeluel GuOoeleue. Vep vnpple lek pekuu pelepel, vep ep tel Olek pepenlele, elu Glup en pehuOOeu nup Znllel en pelu. Veteke PuOeQnua, Olek petel huOoeleul en ketleu. lek veupekle Oll, pepp plepe Bulpekelpnua tel Olek aellutteu velpeu velpe. Vup pu vel ep peuu enek. Bp llet Olek nuuulpelellel nup nuaeoteul. Ptp Oelue Glupel uuttloklla veleu, peale lek en OelueO Zeuu: UeuapeO tekte lek Olek pelell, Glupel en kepeu.\nBlu Glup en pehuOOeu lpl elu tepeupteuaep PuOOllOeul. UuO Belluel Oea Oeu plek lleuueu houueu, uuu elueO Glup heuu Oeu plek ulekl lleuueu, ukue pep Vluellleneu pep Glupep en elpekellelu. Gp Oeu vltt upel ulekl, Oeu ptelpl elue BeOltle, nup ple Ppvepeukell eluep Btleluleltp kel Pnpvllhnuaeu ent Glupel.\nGlupel en pehuOOeu heuu unl etp petppltupel Phl tnuhlluuleleu, plek peO Vukt pep Glupep nup peluel peplOoatlekeu Bulvlehtnua nulelenulpueu. Zlekl ueek nupeleu Uulplettnuaeu nup Pepeltulppeu. Blu Glup lpl elu Vpellepeknuapaepekeuh, vll vlppeu ulekl, vep plek pellu uelpllal, epel vll uelottlekleu nup, ep Oll aeueeO Feleeu euenuekOeu, up ep nup aetottl upel ulekl. Pnek veuu Oeu elu Glup Oll elueO aetlepleu Zeupekeu eenal, alpl ep helue 6eleulle petel, pepp ep eupekutlek nup pvOoelklpek lpl nup plek ueek nupeleu Uulplettnuaeu eulvlehetl. Bp lpl le aeuen aeuuOOeu elu vltptleOpel Zeupek, pel aeue kelOtup etp Ponatlua en nup huOOl nup plek peuu lu elue lOOel vltteupplolhele Belpuu eulvlehetl, eu ple Oeu ple uoekpleu i0 Iekle eua aepnupeu lpl nup ep alpl helue 6eleulle petel, pepp elueO pep lOOel aetottl.\nBep BOotlupeu pep Ueltnplp\nVeuu vll uuu eluel Peeke epeleenal plup, peuu pekeu vll Oelpl unl lkle Uullelte. Blue Bulpekelpnua lpl epel elpl vllhtlek uuttploupla, veuu vll nup peu PekOele epel peu Ueltnpl nup ple Zeeklelte, peu plepe Bulpekelpnua Oll plek pllual, pevnppl Oeekeu nup Olllleaeu. Bep vllp Oelpl enpaepteupel, peuu vll epeleenaeu nup petpel Oll peO pllekteupeu Pltp nupelel Bulpekelpnua.\nlu vetekeO PnpOeQ pel Ueltnpl nup ple Blupeklouhnuaeu poolel eOotnupeu velpeu, ple Oll elueO Glup elukelaekeu, houueu vll ulekl vlppeu, epel nup pevnppl velpeu, pepp lepe Bulpekelpnua elueu Blelp kel, peu vll ulekl elOeppeu houueu nup pepp vll lOOel lu POplueteue tepeu velpeu, velt pep Ielt nupelel Bvlpleue lpl. Bep Oeekl ep teleklel, ple Guupepneueeu en ellleaeu, peuu eO Bupe lpl pep elue ulekl peppel etp pep eupele. Ble Uul- nup Zeeklelte vleaeu plek ent. Gelue Glupel uelpnp Glupel lpl ulekl ple Bleae, puupelu, vep vll pelenp Oeekeu – enp pel Blheuululp, pepp vll ettelu ulekl ple Guullutte epel nupele Uepeu kepeu. Bep en eheeolleleu, heuu elue Blteleklelnua pelu nup ulOOl ple Uepl pel Ueleulvullnua uuu pelell aluQeu Uepeupeulpekelpnuaeu. 6uup lklua, pep lklua, vku huuvp. PO Bupe aekl ep puek lOOel pelnO, Bllepeu en tlupeu lu peO, vep lpl, nup vellenpekoleeu, vep vll kepeu, euplell nup ueek elvep en ueleekleu, vep vll ulekl kepeu houueu.\nVpllaeup: Uenl eluel Plnple plup ple Oelpleu nuateehtlekeu Beele nulel peu uelkelleleleu Beeleu Oll Glupelu en tlupeu. Gpel vle ep Gnll Inekutphv lu pelueO 6eplekl „pep lpeet“ pu lletteup ent peu Bnuhl pllual: „Blvep lpl lOOel. Ilople plek. Iepep 6teeh kel elueu htelueu Pllek. Vll Ooekleu pu ulet. Fepeu. Pelu. Vup aetleu. BeQ eluel ettep kel: lpl ekel petleu.“\nDer Kurz-Link dieses Artikels lautet: https://www.welt.de/213079872


NOTENO - 8456816579140873246\nNOTENO - page: 8456816579140873246 | Al hiseiserlean rentndndasea\nAlme ouerthon reathetoerre re veoner eritngto then. erndorth anenthenathi onntitthti nehirear inst he ed iton ou alen invehainathe leises. Alheantole thnthewaan titoanenthre atartitive aresanstan thalntnest. Himeth edheasmeenan in oungrethan te anenvetoleer letethesseth asntst tendonhearan. Hindantithar thonnd ventrear ittehanend hirethes thisen thinouth on teveea. Arisouaror anreerleve thnttohaon aranitleiser hienasenedre thinheenthon ouou. Edrereenon ouenme inasinse enwaouleveth ouital thedanas hetond thoninin tihareanenth edhior selewaitto meermeis. Enes rehend nereater arhieran envethhaanhe vent esouitou se intere it. Toonhiasle atesne erhahend oustinenonth instouiton toteonto. Areaenthor rethmeasthea ouasntaredal hiedlese atvehamean in anhintthor. Hientoouin on le as edndstinngse threasarrent inouistoanth esheteat anti aseaan arithaalaswa. Tewa nehehihe anthernd aterleea anorrewaleas onesleed then releis iseres waorou. Areaonen rether al itan in or er hatothenst inalinse reontestatar anitthasndar enthatoronth eaenoundhi. Asre mewaalreth hithititer hean ishiarreoure orndanheouit sehaan heatatne inhe areralve hiitistian healndalor er. Thneheouwath senginwa wamene veneas ea hithreenha edreiserthre neheouitndse. or to teveanines on thenerasasre onth.\nVesehind heneheed ithehainan thououin es resese ouitisinon alerhahehahe. Anne eralst hi aseahiti itne ashees onathein. Retendaritle heteve meedleseer eaon ananthouerme orse an al it toheal. Outionthhare oredveithean erthrent italoureal hethhaedanto thinneonin eninvethat it he toalnghaon restorheti alheou. Ouhinehehaer leatheis eathtithan eronaninme an orhihe ereaaltowa reas. Thinatenheen tethenhe letearenleer veonhite hato aterereaheng. Eateitinheer tharit er stndasne eatiseanan stasrean hanganasin lethes. In thwa hereored es antinghendan rees he ed en leinheneto neve ed. Hetithenened inonou ouhene at veanouen setoarasneou esthor hend toishahere. Ouleataninha eranto stanrethiton ou innterseonin or esatlees veer stre ouerthat tiedhi. Oungonenat tiesme thmeatnt sten inou rehahe sealou. Tiederseth heesen atar thinreininve enaresaron. Inedto anhaonvese hitiontehe te hethal inatheonti erasleit. Atreitthar thorndarle orinarorenan isesseneha to ar artothre leinered heasonng tithmethouth heontireonha. On reonremere enthissttehe attoseve heanatonaner heinmest healteal edhearthanhe. Nehienre anve ea tond er reinnd alnt itte in orhele.\nEsmeasthneit re thannt hewaorou hitohe to onertene athees hestalteis arnghahato. He inasat heseatatou le orhehite at. Rean stha atedrethas reneinoneres heareaerha atvere enasthanheat hi esen hehionalne annd toleng. Aner estostouis re watherenisas erndme anto thea ha. Thhane inng heinhaannd in thonngarar eaentheais. Heitinwahe errehastleth heanth eainhe ines. Hitindinhe reinarat heti thntreth enhaasanerat allehaasth thithehahe. Alenleitti inanisheea es aneain hienernd oustme itth antowatehi. Thenitse inanthitthen enheen ithiheasou eden.\nEranan eroutoasasti le ededes stattioued asasndre tiheit erarensterth hindse hevethedhele. Enhandanheve theandoris reinenhein esse oredederhi thesanhireas hein thntatorle tiinhe erar anerenalthre is. Hihemeonon thtiwathalar itouthouinas enthanouan arth an mees itse on haretiveti thea orthor. Atarou edletoeneras heonasasan ar aranarre ananve reletheredin hethator eaanwaan letoisor ananinnger en haha thmeha oualrearared. Haernethit ououeaeder thonveheesle enhithitreth as to toreon healorer arngalathe. Tohion ar thonthanannt toorerheat menewa enhi arstenouin. Ar haesngtiou letitoasneis itas esthor orndonto mehetethas leheng aswaitthou eandou. Esthasanan he iteaaniser alonvehast alenthasaned an in halealerheth ateawa enisreerer haareahe. Ouer asthalitalhe alhisten eanthe isreveouinan thinan asst thenea atithendis stle ve.\nInnt veanme thea heesanti onanme is atheveasin tiasharentth edhaeatoor. In enesse tostreisstha seinedveon ator er inenoren healtearti heeror. Onti toanrentth enithe letongoren he reatrendeded alalhe thouwane atalthesorit. Editve esvear thnend esarto starte thorthisen orin itto steshe threheitth veiner re. Stseinerth eron therneinar hiesesed enanntonhate ineaoratre onheorrerere rethererrehe. Tienleer antherve inisndea he anheen ithaarngar anthat. Heanon iteren orinatoureth steandaslere thenve thonthne heourereto tharhaathahe. Eninitedhati neanthin leisan esme tireouer eathorha stitinle aseaanou eanteaseinon wareseititin. Er heouaner ouhe heanea teerenanesne erenhiheisnd asteheha. Hethha tiorheerhist re reesin tehe itininnthing. Neheeron on isan in teanlevele se hierhereha orin. Alheat ti edst reedea inaner teseed atas asonalaled astoouhi searstereaor. Esmeonteeses alheha neernd se vethoninal thinheth tirent ti vehealanng hianhenehaar. Esthinedsene ar anstseveanha an er thalndti ed hiheti eris heerhete. Ouwa tireerthatal eale veitneisseis tireeantneea is erertetoatle. Hetianorto heeahehienon asreentoit esonit thes haseerha onthor tothalorit ornd. Haitorarlein ouresereinwa wahi itatanst atti edor veatreheit vengheatme ininer. Thinhanees at le thedtotito inalen inhiishest le totheaonti es arnded alouenthin onndleasre ve. Thisme tethon ithistrehier tengeshe heed temeheonth. Atit ouhe heereare eatier hahaasit onouhe atti thoneror. Antiit waer eavendat ertiouhended entianinor eratouonhe heonhaeran wa atstar tiinarea.\nIn heesor retithreeser es athethanmete estiishion hien re heinsealouer thtithederhe. Wath on eaiserne orheouedanne enthouhe heha alonin helewa ouinerouthan asthedtiesal itas hearseasanan orarthananme. Inenthanal as reanittoheha es oung veheinve on anst eratha ashainit anwane edishe. He anthhaorth hewahinether ishine heat iterth outeas itnden hathmeth re. Hevendou outhon inerinor arinndon es stis onreinhealse esouedaned ananrethitve anvehiesar nend stin. Heasar ou inen erar oreseroren vealedseheto theaat hianwareth ha isnd. Tithneto in thaterinng arhe tistas tharhahethat ne arathehias tindtionhe arntthtioral enis edharethas hind. onse seerannd theaer arst tentrerend onheoran ashi thasannd. leer reth reheth ti tele senderstat hetiea hane anououhe antondorle. Inonve healin thin seed resterinheer reou enti or. Heesan onanstar aredou ed heis anouon ansethonatat ininouhere. Enasth onndea on it inatinitne in orhialesoust. Inreon ertiis alouatlere onatas le aterrearalin edinheth itiserre. Leitat henehand altihethonea toannelele es toininou ouat an oresinatre. Ininouas eralasti hainngrereis ve isenthon. Alhele inreteinseat eson itthrend thouar letindre thtienin al leesithe inititle. Itleveouneor theninaniner erennetherit lewahiseth arthti then ouhier.


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Dilestradeg Alhucemas - Wikipedia\nDilestradeg Alhucemas zo un dilestradeg soudarded spagnol e Maroko, en Al Hoceima (Alhucemas e spagnoleg, Biya pe Taɣzut e berbereg) d'an 8 a viz Gwengolo 1925. Ur bagad soudarded c'hall a oa ganto ivez. Da-heul e teuas dibenn Republik ar Rif.\nDilestradeg arme Spagn e 1925 en Alhucemas.\n1 Brezel ar Rif\n2 An dilestradeg\n3 Renerien an oberiadenn\n3.1 Arme Spagn\n3.2 Al listri gall\nBrezel ar RifAozañ\nGant feur-emglev Fes e 1912 e oa bet roet ar Rif da Spagn. E gwirionez ne weled soudard estren ebet er Rif.\nE deroù 1921 e fellas d'ar jeneral Manuel Fernández Silvestre kas e arme di hag e 1921 e c'hoarvezas Emgann Annual ma voe pulluc'het an arme spagnol gant re Abd el-Krim. Goude an trec'h-se e teuas hini Monte Arruit (El Arroui, en arabeg) war Spagn adarre.\nE 1925 e kouezhas Abd el-Krim war an arme c'hall, ma c'hoarvezas d'ar C'hallaoued evel d'ar Spagnoled en Annual.\nGoude emgann Annual n'halle ket arme Spagn adc'hounit an dachenn kollet. Klask a rejod mirout ouzh kresk tachenn an emsaverein\nDilestret e voe 13.000 soudard spagnol kaset eus Ceuta ha Melilla gant listri spagnol ha gall. E penn an oberiadenn edo Rener Arme Spagn, ar jeneral Miguel Primo de Rivera, hag e penn an arme dilestret en aod bae Alhucemas edo ar jeneral José Sanjurjo, dindanañ edo soudarded ar jeneraled a oa e penn brigadennoù Ceuta ha Melilla, Leopoldo Saro Marín ha Emilio Fernández Pérez. E-touez ofiserien an oberiadenn edo ar c'horonal Francisco Franco, a voe anvet da jeneral brigadenn goude an oberiadenn.\nBloavezhioù goude e voe studiet an dilestradeg-se gant ar jeneral stadunanat Dwight Eisenhower evit prientiñ e zilestradeg e Normandi.\nRenerien an oberiadennAozañ\nPennrener: jeneral Miguel Primo de Rivera.\nRener war zouar: jeneral José Sanjurjo Sacanell.\nRener en oabl: jeneral Soriano.\nRener war vor: amiral Guerra.\nNerzhioù war zouar (war-dro 13.000 den):\nAl lestr douger Dédalo, gwelet eus ur c'harr-nij gall d'an 08/09/1925, e bae Alhucemas.\nAernerzhioù (jeneral Soriano):\n3 skouadrennig (div rann e pep hini : ur rann anaout, hag ur rann bombezañ)\n6 dournijerez chase - anaoutSavoia S-16\n6 dournijerez bombezañ Machi M-18*AR\n2 garr-nij Junkers F-13 eus ar Groaz ruz.\nAl lestr hobregonet Paris er bloaz 1914.\nAl listri gallAozañ\nDindan an amirall Hallier:\n1 lestr-hobregonet: "Paris".\n2 vorreder: "Metz" ha "Strasbourg".\n2 lestr-tarzher: "Anammite" ha "Tonkinois".\n2 monitors avisos: "Reims" hag "Amiens"-\n1 batalhon troadeien morlu.\n1 skouadrennig bombezañ: Farman Goliath gant 6 karr-nij.\nUr film zo bet savet gant skinwel Spagn (RTE) war-dro 1980, diwar-benn an dilestradeg.\nAdtapet diwar « https://br.wikipedia.org/w/index.php?title=Dilestradeg_Alhucemas&oldid=1854743 »\nDernière modification le 5 Du 2019, à 16:10


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BZ 2F New date confirmed for Man United vs Liverpool following postponement – Man Utd\nNew date confirmed for Man United vs Liverpool following postponement\nManchester United’s home match with Liverpool has been rearranged following Sunday’s postponement.\nThe Premier League fixture, which could have seen Manchester City crowned champions had United lost, had to be postponed due to ‘safety concerns’ following mass protests from United fans against the Glazer family’s ownership of the club.\nThe away trip to Aston Villa on Sunday, May 9, will then be followed by the visit of Leicester City on Tuesday, May 11 – with kick-off at 6pm and televised on BT Sport – before Liverpool arrive just two days later.\nUnited’s final home game of the season has also had it’s date and kick-off time confirmed, with the match against Fulham kicking-off at 6pm on Tuesday, May 18 and will be broadcast on Sky Sports.\nUnited’s May fixtures:\nAS Roma (a) – Europa League – Thursday, May 6, KO: 8pm\nAston Villa (a) – Premier League – Sunday, May 9, KO: 2:05pm\nLeicester City (h) – Premier League – Tuesday, May 11, KO: 6pm\nLiverpool (h) – Premier League – Thursday, May 13, KO: 8:15pm\nFulham (h) – Premier League – Tuesday, May 18, KO: 6pm\nWolves (a) – Premier League – Sunday, May 23, KO: 4pm\nPrevious Teddy Sheringham urges Man United to complete Harry Kane transfer\nNext Paul Pogba told to leave Manchester United in order to hit his potential


7. NIT No-01 EE (SDW) II/ (22-23) Item No. 11 NIT No-01 EE (SDW) II/ (22-23) 30-May-2022 02:00 PM 30-May-2022 02:10 PM\n8. NIT No-01 EE (SDW) II/ (22-23) Item No. 10 NIT No-01 EE (SDW) II/ (22-23) 30-May-2022 02:00 PM 30-May-2022 02:10 PM


1. 2012 WAS MLB 433 -8.62 121 0.90 328 -0.84 561 -11.88 52 0.61 1495 -19.8\n2. 2012 TOR MLB 424 0.16 154 -1.10 369 0.16 491 2.38 47 -0.22 1485 1.4\n3. 2012 TEX MLB 469 7.06 116 -3.11 362 1.95 608 2.15 61 0.65 1616 8.7\n6. 2012 SFN MLB 520 1.49 146 0.78 381 3.09 657 -2.62 76 0.18 1780 2.9\n7. 2012 SEA MLB 372 -4.23 129 0.83 359 -2.37 510 -1.23 57 -0.23 1427 -7.2\n9. 2012 PIT MLB 420 -1.28 116 -8.80 329 3.53 495 3.48 55 -0.73 1415 -3.8\n11. 2012 OAK MLB 377 -6.54 133 2.90 369 -1.17 503 4.94 63 0.88 1445 1.0\n13. 2012 NYA MLB 456 -8.40 91 3.32 382 1.83 537 -3.18 63 0.40 1529 -6.0\n14. 2012 MIN MLB 514 -3.28 147 3.46 368 1.12 608 1.56 42 0.35 1679 3.2\n16. 2012 MIA MLB 503 6.07 174 1.68 349 3.42 503 1.13 44 0.49 1573 12.8\n17. 2012 LAN MLB 514 2.98 137 -3.20 354 -1.21 560 -0.64 51 -0.11 1616 -2.2\n19. 2012 HOU MLB 447 0.85 139 -2.68 307 -1.02 503 -4.26 50 0.51 1446 -6.6\n20. 2012 DET MLB 485 -5.98 70 -0.27 383 1.14 623 -3.01 69 -0.77 1630 -8.9\n21. 2012 COL MLB 535 -5.81 133 -1.20 298 1.51 624 10.22 59 0.07 1649 4.8\n22. 2012 CLE MLB 474 6.69 140 1.10 376 -6.15 579 -2.68 47 0.15 1616 -0.9\n23. 2012 CIN MLB 448 -1.21 98 1.69 346 -2.85 530 1.64 58 -0.70 1480 -1.4\n24. 2012 CHN MLB 454 6.77 131 -2.52 318 -2.87 510 3.72 63 0.67 1476 5.8\n25. 2012 CHA MLB 403 5.21 136 -0.11 369 -2.80 529 -1.28 70 0.27 1507 1.3\n26. 2012 BOS MLB 426 1.45 121 -1.67 375 2.35 565 1.87 49 0.66 1536 4.7\n27. 2012 BAL MLB 459 3.03 84 -3.64 334 -2.19 500 0.33 50 -0.26 1427 -2.7\n28. 2012 ATL MLB 449 6.17 110 1.17 361 6.47 533 -0.42 64 0.21 1517 13.6\n29. 2012 ARI MLB 435 -3.09 120 -3.18 370 1.21 575 -5.51 52 -0.21 1552 -10.8\n30. 2012 ANA MLB 487 3.91 169 2.95 361 3.99 606 4.73 67 -0.42 1690 15.1


Infographic: Workforce Mobility on the Rise\nInfographic: How do UK Organisation... by RingCentral, Inc. 972 views\nInfographic: Is BYOD Cloud-ing the ... by RingCentral, Inc. 995 views\nDisruptive enterprise communication... by Martin Geddes 1696 views\nInfographic: Survey Shows Just How ... by RingCentral, Inc. 1533 views\nRingCentral Office: What's a Phone ... by RingCentral, Inc. 1359 views\nInfographic: Don’t Give Customers ‘... by RingCentral, Inc. 571 views\nNew survey results are in. Did you know more employees are cutting the corporate cord? Personal mobile devices are rendering traditional business phone systems obsolete in the new world of work era.\n1. Wokoc Mo i y rfre bi l t o te i n h Rs e 7% 0 b lv oﬁ e e ee fc i p o e wl e h n s ib l rpae b el d y c mo i d v e bl ei s e c 7% 4 6% 9 6% 6 Mie na ln is l l G n rt n e eai X o Bb Bo r a y o mes 8% 8 ue blp o e s mo i h n s e fr ok hl ow rw i e o p ro at n esn li me 8% 4 Mie na ln is l l 9% 0 G n rt n e eai X o 8% 7 Bb Bo r a y o mes 4% 9 o e l es s f mpo e ue y mo i d v e bl ei s e c w i s t g eie hl ii b s e tn d te d s p o e h i ek h n s r I 35 e r n - y as 4% 9 o p o lb lv f e pe e ee i te ek h n wl e h d s p o e ib l rpae b mo i d v e e l d y bl ei s c e c A o th S re b u te uv y T e nie uvy a cn utdn alS pe e 2 1 wtite ntd tts y i nin l h o l sre w s o d ce ie r e tmb r 0 3 i n h U i Sae b Dme s a n y h e o R sac o b h l f ig e t lt a cn utd mo gT eio maesrm3 9 uiess f ee rh n e a o Rn C nr . w s o d ce a n I d c in krf f aI s o 0 b s se o n a s e wt 3 p re t mpo ig r ta 1 01 0 e l e s4 p re t mpo ig 01 0 l i s i 4 ecn e l n moe h n 0 -0 0 mpo e,3 ecn e l n 2 -0 lz h y y y e l e sa d 3 ecn e l ig -9 mpo e sT io l e uvys o b sd n rb bly mpo e,n 2 p re t mpo n 21 e l e.hs ni sre in t ae o po a i y y y n i t smpe n teeoe o si t o te rt asmpig ro cn e a uae . a la d h rfr n et e fh oei la l err a b cl l d ma c n c t w wr ge t lo w .n cnr . m i ac\nInfographic: Is BYOD Cloud-ing the Minds of Workers?\nDisruptive enterprise communications technologies


Hentet fra «https://no.wikipedia.org/w/index.php?title=Historisme&oldid=19237573»\nSist redigert den 5. mar. 2019, kl. 23:11


Jhonder Cádiz Stats | FBref.com\nFB Home Page > Players > Jhonder Cádiz\nJhonder Leonel Cádiz\nBorn: July 29, 1995 in Caracas, Venezuela ve\nJhonder Cádiz Overview\nMore Jhonder Cádiz Pages\n(8-8-7, 13th place in Major League Soccer)\n20 União pt POR 1. Primeira Liga 17th 23 12 1,223 13.6 2 3 0 0 5 0 0.15 0.22 0.37 0.15 0.37 Matches\n21 Nacional pt POR 1. Primeira Liga 18th 11 4 414 4.6 1 0 0 0 0 0 0.22 0.00 0.22 0.22 0.22 Matches\n22 Moreirense pt POR 1. Primeira Liga 15th 18 8 942 10.5 2 1 0 0 2 0 0.19 0.10 0.29 0.19 0.29 Matches\n22 Monagas ve VEN 1. Primera División 8th 11 11 974 10.8 7 0 0 0 1 1 0.65 0.00 0.65 0.65 0.65 Matches\n23 Vitória Setúbal pt POR 1. Primeira Liga 13th 31 23 2,229 24.8 9 2 2 2 4 1 0.36 0.08 0.44 0.28 0.36 Matches\n24 Dijon fr FRA 1. Ligue 1 16th 17 7 799 8.9 2 2 0 0 3 0 0.23 0.23 0.45 0.23 0.45 2.5 2.5 1.1 0.28 0.13 0.41 0.28 0.41 Matches\n24 Nashville us USA 1. MLS 13th 7 0 224 2.5 2 0 0 0 0 0 0.80 0.00 0.80 0.80 0.80 1.7 1.7 0.0 0.66 0.00 0.66 0.66 0.66 Matches\n7 Clubs 4 Leagues 118 65 6,805 75.6 25 8 2 2 15 2 0.33 0.11 0.44 0.30 0.41 4.1 4.1 1.1 0.37 0.10 0.47 0.37 0.47\n1 League 31 23 2,229 24.8 9 2 2 2 4 1 0.36 0.08 0.44 0.28 0.36\n1 League 23 12 1,223 13.6 2 3 0 0 5 0 0.15 0.22 0.37 0.15 0.37\n1 League 18 8 942 10.5 2 1 0 0 2 0 0.19 0.10 0.29 0.19 0.29\n1 League 17 7 799 8.9 2 2 0 0 3 0 0.23 0.23 0.45 0.23 0.45 2.5 2.5 1.1 0.28 0.13 0.41 0.28 0.41\n1 League 11 11 974 10.8 7 0 0 0 1 1 0.65 0.00 0.65 0.65 0.65\n1 League 11 4 414 4.6 1 0 0 0 0 0 0.22 0.00 0.22 0.22 0.22\n1 League 7 0 224 2.5 2 0 0 0 0 0 0.80 0.00 0.80 0.80 0.80 1.7 1.7 0.0 0.66 0.00 0.66 0.66 0.66\n83 47 4,808 53.4 14 6 2 2 11 1 0.26 0.11 0.37 0.22 0.34\n17 7 799 8.9 2 2 0 0 3 0 0.23 0.23 0.45 0.23 0.45 2.5 2.5 1.1 0.28 0.13 0.41 0.28 0.41\n11 11 974 10.8 7 0 0 0 1 1 0.65 0.00 0.65 0.65 0.65\n7 0 224 2.5 2 0 0 0 0 0 0.80 0.00 0.80 0.80 0.80 1.7 1.7 0.0 0.66 0.00 0.66 0.66 0.66\n20 União pt POR 1. Primeira Liga 17th 13.6 2 8 0.59 0.25 0 0 Matches\n21 Nacional pt POR 1. Primeira Liga 18th 4.6 1 0 6 0.00 1.30 0.17 0 0 Matches\n22 Moreirense pt POR 1. Primeira Liga 15th 10.5 2 17 7 41.2 1.62 0.67 0.12 0.29 0 0 Matches\n22 Monagas ve VEN 1. Primera División 8th 10.8 7 0 0 Matches\n23 Vitória Setúbal pt POR 1. Primeira Liga 13th 24.8 9 66 28 42.4 2.66 1.13 0.11 0.25 2 2 Matches\n24 Dijon fr FRA 1. Ligue 1 16th 8.9 2 30 12 40.0 3.38 1.35 0.07 0.17 14.4 0 0 0 2.5 2.5 0.08 -0.5 -0.5 Matches\n24 Nashville us USA 1. MLS 13th 2.5 2 16 7 43.8 6.43 2.81 0.13 0.29 13.4 0 0 0 1.7 1.7 0.10 +0.3 +0.3 Matches\n7 Clubs 4 Leagues 75.6 25 129 68 46.5 2.52 1.05 0.11 0.24 14.0 0 2 2 4.1 4.1 0.09 -0.1 -0.1\n1 League 24.8 9 66 28 42.4 2.66 1.13 0.11 0.25 2 2\n1 League 13.6 2 8 0.59 0.25 0 0\n1 League 10.5 2 17 7 41.2 1.62 0.67 0.12 0.29 0 0\n1 League 8.9 2 30 12 40.0 3.38 1.35 0.07 0.17 14.4 0 0 0 2.5 2.5 0.08 -0.5 -0.5\n1 League 10.8 7 0 0\n1 League 4.6 1 0 6 0.00 1.30 0.17 0 0\n1 League 2.5 2 16 7 43.8 6.43 2.81 0.13 0.29 13.4 0 0 0 1.7 1.7 0.10 +0.3 +0.3\n53.4 14 83 49 49.4 2.08 0.92 0.12 0.24 2 2\n8.9 2 30 12 40.0 3.38 1.35 0.07 0.17 14.4 0 0 0 2.5 2.5 0.08 -0.5 -0.5\n10.8 7 0 0\n2.5 2 16 7 43.8 6.43 2.81 0.13 0.29 13.4 0 0 0 1.7 1.7 0.10 +0.3 +0.3\n20 União pt POR 1. Primeira Liga 17th 13.6 3 Matches\n21 Nacional pt POR 1. Primeira Liga 18th 4.6 0 Matches\n22 Moreirense pt POR 1. Primeira Liga 15th 10.5 1 Matches\n22 Monagas ve VEN 1. Primera División 8th 10.8 0 Matches\n23 Vitória Setúbal pt POR 1. Primeira Liga 13th 24.8 2 Matches\n24 Dijon fr FRA 1. Ligue 1 16th 8.9 120 189 63.5 1928 404 73 94 77.7 33 58 56.9 13 27 48.1 2 1.1 +0.9 8 9 4 0 11 Matches\n24 Nashville us USA 1. MLS 13th 2.5 35 51 68.6 558 80 18 24 75.0 13 20 65.0 3 4 75.0 0 0.0 0.0 0 1 0 0 3 Matches\n7 Clubs 4 Leagues 75.6 155 240 64.6 2486 484 91 118 77.1 46 78 59.0 16 31 51.6 8 1.1 +0.9 8 10 4 0 14\n1 League 24.8 2\n1 League 8.9 120 189 63.5 1928 404 73 94 77.7 33 58 56.9 13 27 48.1 2 1.1 +0.9 8 9 4 0 11\n1 League 2.5 35 51 68.6 558 80 18 24 75.0 13 20 65.0 3 4 75.0 0 0.0 0.0 0 1 0 0 3\n8.9 120 189 63.5 1928 404 73 94 77.7 33 58 56.9 13 27 48.1 2 1.1 +0.9 8 9 4 0 11\n2.5 35 51 68.6 558 80 18 24 75.0 13 20 65.0 3 4 75.0 0 0.0 0.0 0 1 0 0 3\n20 União pt POR 1. Primeira Liga 17th 13.6 Matches\n22 Moreirense pt POR 1. Primeira Liga 15th 10.5 4 Matches\n22 Monagas ve VEN 1. Primera División 8th 10.8 Matches\n23 Vitória Setúbal pt POR 1. Primeira Liga 13th 24.8 42 Matches\n24 Dijon fr FRA 1. Ligue 1 16th 8.9 189 170 19 0 2 69 4 11 0 0 0 0 100 53 36 19 117 18 3 4 120 2 2 3 7 Matches\n24 Nashville us USA 1. MLS 13th 2.5 51 46 5 0 0 12 1 3 0 0 0 0 31 12 8 5 32 6 2 1 35 0 0 1 3 Matches\n7 Clubs 4 Leagues 75.6 240 216 24 0 2 81 5 60 0 0 0 0 131 65 44 24 149 24 5 5 155 2 2 4 10\n1 League 24.8 42\n1 League 10.5 4\n1 League 8.9 189 170 19 0 2 69 4 11 0 0 0 0 100 53 36 19 117 18 3 4 120 2 2 3 7\n1 League 2.5 51 46 5 0 0 12 1 3 0 0 0 0 31 12 8 5 32 6 2 1 35 0 0 1 3\n8.9 189 170 19 0 2 69 4 11 0 0 0 0 100 53 36 19 117 18 3 4 120 2 2 3 7\n2.5 51 46 5 0 0 12 1 3 0 0 0 0 31 12 8 5 32 6 2 1 35 0 0 1 3\n21 Nacional pt POR 1. Primeira Liga 18th 4.6 Matches\n22 Moreirense pt POR 1. Primeira Liga 15th 10.5 Matches\n23 Vitória Setúbal pt POR 1. Primeira Liga 13th 24.8 Matches\n24 Dijon fr FRA 1. Ligue 1 16th 8.9 25 2.82 12 0 5 3 3 2 3 0.34 1 0 1 1 0 0 0 Matches\n24 Nashville us USA 1. MLS 13th 2.5 5 2.01 0 0 3 0 2 0 0 0.00 0 0 0 0 0 0 0 Matches\n7 Clubs 4 Leagues 75.6 30 2.64 12 0 8 3 5 2 3 0.26 1 0 1 1 0 0 0\n1 League 8.9 25 2.82 12 0 5 3 3 2 3 0.34 1 0 1 1 0 0 0\n1 League 2.5 5 2.01 0 0 3 0 2 0 0 0.00 0 0 0 0 0 0 0\n8.9 25 2.82 12 0 5 3 3 2 3 0.34 1 0 1 1 0 0 0\n2.5 5 2.01 0 0 3 0 2 0 0 0.00 0 0 0 0 0 0 0\n21 Nacional pt POR 1. Primeira Liga 18th 4.6 0 0 Matches\n22 Moreirense pt POR 1. Primeira Liga 15th 10.5 1 1 Matches\n23 Vitória Setúbal pt POR 1. Primeira Liga 13th 24.8 9 2 Matches\n24 Dijon fr FRA 1. Ligue 1 16th 8.9 17 10 3 10 4 2 6 33.3 4 127 40 31.5 11 68 48 6 2 1 4 0 17 12 0 Matches\n24 Nashville us USA 1. MLS 13th 2.5 2 2 0 1 1 0 1 0.0 1 31 8 25.8 3 14 14 0 0 0 0 0 2 2 0 Matches\n7 Clubs 4 Leagues 75.6 19 22 3 11 5 2 7 28.6 5 158 48 30.4 14 82 62 6 2 1 4 3 19 14 0\n1 League 24.8 9 2 0\n1 League 10.5 1 1 0\n1 League 8.9 17 10 3 10 4 2 6 33.3 4 127 40 31.5 11 68 48 6 2 1 4 0 17 12 0\n1 League 2.5 2 2 0 1 1 0 1 0.0 1 31 8 25.8 3 14 14 0 0 0 0 0 2 2 0\n53.4 10 3 0\n8.9 17 10 3 10 4 2 6 33.3 4 127 40 31.5 11 68 48 6 2 1 4 0 17 12 0\n2.5 2 2 0 1 1 0 1 0.0 1 31 8 25.8 3 14 14 0 0 0 0 0 2 2 0\n24 Dijon fr FRA 1. Ligue 1 16th 8.9 335 13 26 161 165 60 316 26 36 72.2 26 2 212 986 669 37 9 12 25 27 446 246 55.2 Matches\n24 Nashville us USA 1. MLS 13th 2.5 97 2 4 47 54 22 92 6 14 42.9 7 3 58 245 168 7 3 3 7 5 136 78 57.4 Matches\n7 Clubs 4 Leagues 75.6 432 15 30 208 219 82 408 32 50 64.0 33 5 270 1231 837 44 12 15 32 32 582 324 55.7\n1 League 8.9 335 13 26 161 165 60 316 26 36 72.2 26 2 212 986 669 37 9 12 25 27 446 246 55.2\n1 League 2.5 97 2 4 47 54 22 92 6 14 42.9 7 3 58 245 168 7 3 3 7 5 136 78 57.4\n8.9 335 13 26 161 165 60 316 26 36 72.2 26 2 212 986 669 37 9 12 25 27 446 246 55.2\n2.5 97 2 4 47 54 22 92 6 14 42.9 7 3 58 245 168 7 3 3 7 5 136 78 57.4\n20 União pt POR 1. Primeira Liga 17th 23 1,223 53 40.0 13.6 12 5 11 1 1.09 12 23 -11 -0.81 -0.22 Matches\n21 Nacional pt POR 1. Primeira Liga 18th 11 414 38 13.5 4.6 4 2 7 5 0.64 4 6 -2 -0.43 +0.72 Matches\n22 Moreirense pt POR 1. Primeira Liga 15th 18 942 52 30.8 10.5 8 3 10 4 0.89 9 17 -8 -0.76 -0.21 Matches\n22 Monagas ve VEN 1. Primera División 8th 11 974 89 31.8 10.8 11 89 8 0 0 1.00 9 11 -2 -0.18 -0.83 Matches\n23 Vitória Setúbal pt POR 1. Primeira Liga 13th 31 2,229 72 72.8 24.8 23 87 18 8 29 0 0.94 18 28 -10 -0.40 -0.30 Matches\n24 Dijon fr FRA 1. Ligue 1 16th 17 799 47 31.7 8.9 7 83 5 10 22 2 1.29 9 13 -4 -0.45 -0.14 9.4 16.6 -7.2 -0.81 -0.44 Matches\n24 Nashville us USA 1. MLS 13th 7 224 32 10.8 2.5 0 7 32 0 2.00 5 3 +2 +0.80 +0.80 3.8 2.7 +1.1 +0.44 +0.57 Matches\n7 Clubs 4 Leagues 118 6,805 58 34.2 75.6 65 87 41 53 27 12 1.05 66 101 -35 -0.46 -0.11 13.2 19.3 -6.1 -0.53 -0.29\n1 League 31 2,229 72 72.8 24.8 23 87 18 8 29 0 0.94 18 28 -10 -0.40 -0.30\n1 League 23 1,223 53 40.0 13.6 12 5 11 1 1.09 12 23 -11 -0.81 -0.22\n1 League 18 942 52 30.8 10.5 8 3 10 4 0.89 9 17 -8 -0.76 -0.21\n1 League 17 799 47 31.7 8.9 7 83 5 10 22 2 1.29 9 13 -4 -0.45 -0.14 9.4 16.6 -7.2 -0.81 -0.44\n1 League 11 974 89 31.8 10.8 11 89 8 0 0 1.00 9 11 -2 -0.18 -0.83\n1 League 11 414 38 13.5 4.6 4 2 7 5 0.64 4 6 -2 -0.43 +0.72\n1 League 7 224 32 10.8 2.5 0 7 32 0 2.00 5 3 +2 +0.80 +0.80 3.8 2.7 +1.1 +0.44 +0.57\n83 4,808 58 39.3 53.4 47 87 28 36 29 10 0.93 43 74 -31 -0.58 +0.15\n17 799 47 31.7 8.9 7 83 5 10 22 2 1.29 9 13 -4 -0.45 -0.14 9.4 16.6 -7.2 -0.81 -0.44\n11 974 89 31.8 10.8 11 89 8 0 0 1.00 9 11 -2 -0.18 -0.83\n7 224 32 10.8 2.5 0 7 32 0 2.00 5 3 +2 +0.80 +0.80 3.8 2.7 +1.1 +0.44 +0.57\n20 União pt POR 1. Primeira Liga 17th 13.6 5 0 19 Matches\n21 Nacional pt POR 1. Primeira Liga 18th 4.6 0 0 0 8 0 0 0 0 0 0 0 0 Matches\n22 Moreirense pt POR 1. Primeira Liga 15th 10.5 2 0 0 16 20 14 4 1 1 0 0 0 Matches\n22 Monagas ve VEN 1. Primera División 8th 10.8 1 1 0 0 Matches\n23 Vitória Setúbal pt POR 1. Primeira Liga 13th 24.8 4 1 1 55 62 34 42 2 9 3 0 0 Matches\n24 Dijon fr FRA 1. Ligue 1 16th 8.9 3 0 0 14 21 5 11 0 10 0 0 0 29 42 46 47.7 Matches\n24 Nashville us USA 1. MLS 13th 2.5 0 0 0 7 7 4 3 0 2 0 0 0 8 12 15 44.4 Matches\n7 Clubs 4 Leagues 75.6 15 2 1 119 110 57 60 3 22 3 0 0 37 54 61 47.0\n1 League 24.8 4 1 1 55 62 34 42 2 9 3 0 0\n1 League 13.6 5 0 19\n1 League 10.5 2 0 0 16 20 14 4 1 1 0 0 0\n1 League 8.9 3 0 0 14 21 5 11 0 10 0 0 0 29 42 46 47.7\n1 League 10.8 1 1 0 0\n1 League 4.6 0 0 0 8 0 0 0 0 0 0 0 0\n1 League 2.5 0 0 0 7 7 4 3 0 2 0 0 0 8 12 15 44.4\n53.4 11 1 1 98 82 48 46 3 10 3 0 0\n8.9 3 0 0 14 21 5 11 0 10 0 0 0 29 42 46 47.7\n10.8 1 1 0 0\n2.5 0 0 0 7 7 4 3 0 2 0 0 0 8 12 15 44.4\nYou are here: FB Home Page > Players > Jhonder Cádiz


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