1. The paper is poorly organized. It is hard to quickly get the motivations and main ideas of the proposed methods.
2. The thermal sensor and environment setting for data collection is not described in details. From Figure 2, why is the quality of thermal image significantly higher than RegDB and SYSU-MM01 ? Does the thermal sensor or capturing time cause it?
3. The paper presents a transformer-based network as backbone, what is the benefits over the CNN-based backbones in traditional methods? The reason using such a transformer-based method is not clearly discussed.
4. The proposed multi-task triplet loss is not clearly clarified. It is strongly to re-organize the part and make a proof-reading. In addition, It seems there is mistake in Eq. (1). I suppose a max( x,0) is lost for both terms in $L_{mtri}$.
5. The sensitivity of hyper-parameters such as $m_1$, $m_2$, $\lambda$ is not discussed. In particular, their values are not specified in the paper.
6. There are lots of grammar mistakes, typos and description blurs that makes the paper hard to follow. It is strongly to find some experts to make a proofreading.
5. The sensitivity of hyper-parameters such as $m_1$, $m_2$, $\lambda$ is not discussed. In particular, their values are not specified in the paper.