Deep learning for semantic scene labeling
MERL is looking for a highly motivated intern to work on the field of deep learning for semantic scene labeling. The length of the internship will be about three months. The ideal candidate should be a PhD student working on computer vision and machine learning. Proficiency in MATLAB and C++ programming is necessary. The intern will collaborate with the MERL researchers in developing algorithms, conducting experiments, and preparing manuscripts for scientific publications.Research Area: Spatial AnalysisContact: Ming-Yu Liu
Title: Deep learning for semantic scene labeling
Salary: None
Description: MERL is looking for a highly motivated intern to work on the field of deep learning for semantic scene labeling. The length of the internship will be about three months. The ideal candidate should be a PhD student working on computer vision and machine learning. Proficiency in MATLAB and C++ programming is necessary. The intern will collaborate with the MERL researchers in developing algorithms, conducting experiments, and preparing manuscripts for scientific publications.Research Area: Spatial AnalysisContact: Ming-Yu Liu
Requirements: None experience, None education
Fraudulent: No