<p>Here is a collection of ReID-related research with links to papers and code. You are welcome to submit <aclass="reference external"href="https://help.github.com/articles/creating-a-pull-request/">PR</a>s if you find something missing.</p>
<h3>CVPR 2019<aclass="headerlink"href="#cvpr-2019"title="Permalink to this headline">¶</a></h3>
<ulclass="simple">
<li>Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification. [<aclass="reference external"href="https://arxiv.org/abs/1904.01990">paper</a>][<aclass="reference external"href="https://github.com/zhunzhong07/ECN">code</a>]</li>
<li>Dissecting Person Re-identification from the Viewpoint of Viewpoint. [<aclass="reference external"href="https://arxiv.org/abs/1812.02162">paper</a>][<aclass="reference external"href="https://github.com/sxzrt/Dissecting-Person-Re-ID-from-the-Viewpoint-of-Viewpoint">code</a>]</li>
<li>Unsupervised Person Re-identification by Soft Multilabel Learning. [<aclass="reference external"href="https://arxiv.org/abs/1903.06325">paper</a>][<aclass="reference external"href="https://github.com/KovenYu/MAR">code</a>]</li>
<h3>AAAI 2019<aclass="headerlink"href="#aaai-2019"title="Permalink to this headline">¶</a></h3>
<ulclass="simple">
<li>Spatial and Temporal Mutual Promotion for Video-based Person Re-identification. [<aclass="reference external"href="https://arxiv.org/abs/1812.10305">paper</a>][<aclass="reference external"href="https://github.com/yolomax/person-reid-lib">code</a>]</li>
<li>Spatial-Temporal Person Re-identification. [<aclass="reference external"href="https://arxiv.org/abs/1812.03282">paper</a>][<aclass="reference external"href="https://github.com/Wanggcong/Spatial-Temporal-Re-identification">code</a>]</li>
<li>Horizontal Pyramid Matching for Person Re-identification. [<aclass="reference external"href="https://arxiv.org/abs/1804.05275">paper</a>][<aclass="reference external"href="https://github.com/OasisYang/HPM">code</a>]</li>
<li>Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-identification. [<aclass="reference external"href="https://arxiv.org/abs/1901.06140">paper</a>][<aclass="reference external"href="https://github.com/youngminPIL/rollback">code</a>]</li>
<li>A Bottom-Up Clustering Approach to Unsupervised Person Re-identification. [<aclass="reference external"href="https://vana77.github.io/vana77.github.io/images/AAAI19.pdf">paper</a>][<aclass="reference external"href="https://github.com/vana77/Bottom-up-Clustering-Person-Re-identification">code</a>]</li>
</ul>
</div>
<divclass="section"id="neurips-2018">
<h3>NeurIPS 2018<aclass="headerlink"href="#neurips-2018"title="Permalink to this headline">¶</a></h3>
<ulclass="simple">
<li>FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification. [<aclass="reference external"href="https://arxiv.org/abs/1810.02936">paper</a>][<aclass="reference external"href="https://github.com/yxgeee/FD-GAN">code</a>]</li>
</ul>
</div>
<divclass="section"id="eccv-2018">
<h3>ECCV 2018<aclass="headerlink"href="#eccv-2018"title="Permalink to this headline">¶</a></h3>
<ulclass="simple">
<li>Generalizing A Person Retrieval Model Hetero- and Homogeneously. [<aclass="reference external"href="http://openaccess.thecvf.com/content_ECCV_2018/papers/Zhun_Zhong_Generalizing_A_Person_ECCV_2018_paper.pdf">paper</a>][<aclass="reference external"href="https://github.com/zhunzhong07/HHL">code</a>]</li>
<li>Pose-Normalized Image Generation for Person Re-identification. [<aclass="reference external"href="https://arxiv.org/abs/1712.02225">paper</a>][<aclass="reference external"href="https://github.com/naiq/PN_GAN">code</a>]</li>
</ul>
</div>
<divclass="section"id="cvpr-2018">
<h3>CVPR 2018<aclass="headerlink"href="#cvpr-2018"title="Permalink to this headline">¶</a></h3>
<ulclass="simple">
<li>Camera Style Adaptation for Person Re-Identification. [<aclass="reference external"href="https://arxiv.org/abs/1711.10295">paper</a>][<aclass="reference external"href="https://github.com/zhunzhong07/CamStyle">code</a>]</li>
<li>Deep Group-Shuffling Random Walk for Person Re-Identification. [<aclass="reference external"href="https://arxiv.org/abs/1807.11178">paper</a>][<aclass="reference external"href="https://github.com/YantaoShen/kpm_rw_person_reid">code</a>]</li>
<li>End-to-End Deep Kronecker-Product Matching for Person Re-identification. [<aclass="reference external"href="https://arxiv.org/abs/1807.11182">paper</a>][<aclass="reference external"href="https://github.com/YantaoShen/kpm_rw_person_reid">code</a>]</li>
<li>Features for Multi-Target Multi-Camera Tracking and Re-Identification. [<aclass="reference external"href="https://arxiv.org/abs/1803.10859">paper</a>][<aclass="reference external"href="https://github.com/ergysr/DeepCC">code</a>]</li>
<li>Group Consistent Similarity Learning via Deep CRF for Person Re-Identification. [<aclass="reference external"href="http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Group_Consistent_Similarity_CVPR_2018_paper.pdf">paper</a>][<aclass="reference external"href="https://github.com/dapengchen123/crf_affinity">code</a>]</li>
<li>Harmonious Attention Network for Person Re-Identification. [<aclass="reference external"href="https://arxiv.org/abs/1802.08122">paper</a>][<aclass="reference external"href="https://github.com/KaiyangZhou/deep-person-reid">code</a>]</li>
<li>Human Semantic Parsing for Person Re-Identification. [<aclass="reference external"href="https://arxiv.org/abs/1804.00216">paper</a>][<aclass="reference external"href="https://github.com/emrahbasaran/SPReID">code</a>]</li>
<li>Multi-Level Factorisation Net for Person Re-Identification. [<aclass="reference external"href="https://arxiv.org/abs/1803.09132">paper</a>][<aclass="reference external"href="https://github.com/KaiyangZhou/deep-person-reid">code</a>]</li>
<li>Resource Aware Person Re-identification across Multiple Resolutions. [<aclass="reference external"href="https://arxiv.org/abs/1805.08805">paper</a>][<aclass="reference external"href="https://github.com/mileyan/DARENet">code</a>]</li>
<li>Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning. [<aclass="reference external"href="https://yu-wu.net/pdf/CVPR2018_Exploit-Unknown-Gradually.pdf">paper</a>][<aclass="reference external"href="https://github.com/Yu-Wu/Exploit-Unknown-Gradually">code</a>]</li>
</ul>
</div>
<divclass="section"id="arxiv">
<h3>ArXiv<aclass="headerlink"href="#arxiv"title="Permalink to this headline">¶</a></h3>
<ulclass="simple">
<li>Revisiting Temporal Modeling for Video-based Person ReID. [<aclass="reference external"href="https://arxiv.org/abs/1805.02104">paper</a>][<aclass="reference external"href="https://github.com/jiyanggao/Video-Person-ReID">code</a>]</li>
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