{"type":"ScholarlyArticle","title":"Beyond Intra-modality: A Survey of Heterogeneous Person Re-identification","authors":[{"name":"Zheng Wang","slug":"zheng-wang","given":"Zheng","family":"Wang","affiliation":"National Institute of Informatics"},{"name":"Zhixiang Wang","slug":"zhixiang-wang","given":"Zhixiang","family":"Wang","affiliation":"National Taiwan University"},{"name":"Yinqiang Zheng","slug":"yinqiang-zheng","given":"Yinqiang","family":"Zheng","affiliation":"National Institute of Informatics"},{"name":"Yang Wu","slug":"yang-wu","given":"Yang","family":"Wu","affiliation":"Kyoto University"},{"name":"Wenjun Zeng","slug":"wenjun-zeng","given":"Wenjun","family":"Zeng","affiliation":"Microsoft Research Asia"},{"name":"Shin'ichi Satoh","slug":"shin-ichi-satoh","given":"Shin'ichi","family":"Satoh","affiliation":"National Institute of Informatics"}],"abstract":"An efficient and effective person re-identification (ReID) system relieves the users from painful and boring video watching and accelerates the process of video analysis. Recently, with the explosive demands of practical applications, a lot of research efforts have been dedicated to heterogeneous person re-identification (Hetero-ReID). In this paper, we provide a comprehensive review of state-of-the-art Hetero-ReID methods that address the challenge of inter-modality discrepancies. According to the application scenario, we classify the methods into four categories --- low-resolution, infrared, sketch, and text. We begin with an introduction of ReID, and make a comparison between Homogeneous ReID (Homo-ReID) and Hetero-ReID tasks. Then, we describe and compare existing datasets for performing evaluations, and survey the models that have been widely employed in Hetero-ReID. We also summarize and compare the representative approaches from two perspectives, i.e., the application scenario and the learning pipeline. We conclude by a discussion of some future research directions. Follow-up updates are available at https://github.com/lightChaserX/Awesome-Hetero-reID","doi":"10.24963/ijcai.2020/692","url":"https://ijcai.org/proceedings/2020/692","pdf":"https://ijcai.org/proceedings/2020/0692.pdf","markdown":"https://ijcai.org/proceedings/2020/692.md","bibtex":"https://ijcai.org/proceedings/2020/bibtex/692","volume":{"slug":"2020","title":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2020","url":"https://ijcai.org/proceedings/2020/","year":2020,"location":"Yokohama","dates":"January 2021 (postponed from 11-17 July 2020)","editors":"Christian Bessiere","isbn":"978-0-9992411-6-5","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2020"},"section":"Survey track","track":"Survey track","number":692,"pages":{"first":4973,"last":4980},"keywords":["Vision: general","Human aspects in AI: general","Information Retrieval and Filtering: general"],"videos":[],"references":[{"position":1,"raw":"[Barbosa et al., 2012] Igor Barros Barbosa, Marco Cristani, Alessio Del Bue, Loris Bazzani, and Vittorio Murino. Re- identification with rgb-d sensors. In ECCV, 2012.","title":"Reidentification with rgb-d sensors","authors":"Igor Barros Barbosa, Marco Cristani, Alessio Del Bue, Loris Bazzani, Vittorio Murino","year":"2012","venue":"ECCV","doi":null,"url":null,"internal_url":null},{"position":2,"raw":"[Chen et al., 2018a] Dapeng Chen, Hongsheng Li, Xihui Liu, Yan- tao Shen, Jing Shao, Zejian Yuan, and Xiaogang Wang. Im- proving deep visual representation for person re-identification by global and local image-language association. In ECCV, 2018.","title":"Improving deep visual representation for person re-identification by global and local image-language association","authors":"Chen","year":"2018","venue":"ECCV","doi":null,"url":null,"internal_url":null},{"position":3,"raw":"[Chen et al., 2018b] Tianlang Chen, Chenliang Xu, and Jiebo Luo. Improving text-based person search by spatial matching and adaptive threshold. In WACV, 2018.","title":"Improving text-based person search by spatial matching and adaptive threshold","authors":"Chen","year":"2018","venue":"WACV","doi":null,"url":null,"internal_url":null},{"position":4,"raw":"[Chen et al., 2019] Yun-Chun Chen, Yu-Jhe Li, Xiaofei Du, and Yu-Chiang Frank Wang. Learning resolution-invariant deep rep- resentations for person re-identification. In AAAI, 2019.","title":"Learning resolution-invariant deep representations for person re-identification","authors":"Yun-Chun Chen, Yu-Jhe Li, Xiaofei Du, Yu-Chiang Frank, Wang","year":"2019","venue":"AAAI","doi":null,"url":null,"internal_url":null},{"position":5,"raw":"[Cheng et al., 2011] Dong Seon Cheng, Marco Cristani, Michele Stoppa, Loris Bazzani, and Vittorio Murino. Custom pictorial structures for re-identification. In BMVC, 2011.","title":"Custom pictorial structures for re-identification","authors":"Marco Dong Seon Cheng, Michele Cristani, Loris Stoppa, Vittorio Bazzani, Murino","year":"2011","venue":"BMVC","doi":null,"url":null,"internal_url":null},{"position":6,"raw":"[Cheng et al., 2020] Zhiyi Cheng, Qi Dong, Shaogang Gong, and Xiatian Zhu. Inter-task association critic for cross-resolution per- son re-identification. In CVPR, 2020.","title":"Inter-task association critic for cross-resolution person re-identification","authors":"Zhiyi Cheng, Qi Dong, Shaogang Gong, Xiatian Zhu","year":"2020","venue":"CVPR","doi":null,"url":null,"internal_url":null},{"position":7,"raw":"[Choi et al., 2020] Seokeon Choi, Sumin Lee, Youngeun Kim, Taekyung Kim, and Changick Kim. Hi-cmd: Hierarchical cross-modality disentanglement for visible-infrared person re- identification. In CVPR, 2020.","title":"Hi-cmd: Hierarchical cross-modality disentanglement for visible-infrared person reidentification","authors":"Choi","year":"2020","venue":"CVPR","doi":null,"url":null,"internal_url":null},{"position":8,"raw":"[Dai et al., 2018] Pingyang Dai, Rongrong Ji, Haibin Wang, Qiong Wu, and Yuyu Huang. Cross-modality person re-identification with generative adversarial training. In IJCAI, 2018.","title":"Cross-modality person re-identification with generative adversarial training","authors":"Pingyang Dai, Rongrong Ji, Haibin Wang, Qiong Wu, Yuyu Huang","year":"2018","venue":"IJCAI","doi":null,"url":null,"internal_url":"/proceedings/2018/94"},{"position":9,"raw":"[Feris et al., 2014] Rogerio Feris, Russel Bobbitt, Lisa Brown, and Sharath Pankanti. Attribute-based people search: Lessons learnt from a practical surveillance system. In ICMR, 2014.","title":"Attribute-based people search: Lessons learnt from a practical surveillance system","authors":"Rogerio Feris, Russel Bobbitt, Lisa Brown, Sharath Pankanti","year":"2014","venue":null,"doi":null,"url":null,"internal_url":null},{"position":10,"raw":"[Gou et al., 2018] Mengran Gou, Ziyan Wu, Angels Rates-Borras, Octavia Camps, Richard J Radke, et al. A systematic evalua- tion and benchmark for person re-identification: Features, met- rics, and datasets. TPAMI, 2018.","title":"A systematic evaluation and benchmark for person re-identification: Features, metrics, and datasets","authors":"Gou","year":"2018","venue":"TPAMI","doi":null,"url":null,"internal_url":null},{"position":11,"raw":"[Haque et al., 2016] Albert Haque, Alexandre Alahi, and Li Fei- Fei. Recurrent attention models for depth-based person identi- fication. In CVPR, 2016.","title":"Recurrent attention models for depth-based person identification","authors":"Albert Haque, Alexandre Alahi, Li Fei-Fei","year":"2016","venue":"CVPR","doi":null,"url":null,"internal_url":null},{"position":12,"raw":"[Huang et al., 2015] Bingyue Huang, Jun Chen, Yimin Wang, Chao Liang, Zheng Wang, and Kaimin Sun. Sparsity-based occlusion handling method for person re-identification. In MMM, 2015.","title":"Sparsity-based occlusion handling method for person re-identification","authors":"Huang","year":"2015","venue":"MMM","doi":null,"url":null,"internal_url":null},{"position":13,"raw":"[Jiao et al., 2018] Jiening Jiao, Wei-Shi Zheng, Ancong Wu, Xia- tian Zhu, and Shaogang Gong. Deep low-resolution person re- identification. In AAAI, 2018.","title":"Deep low-resolution person reidentification","authors":"Jiening Jiao, Wei-Shi Zheng, Ancong Wu, Xiatian Zhu, Shaogang Gong","year":"2018","venue":"AAAI","doi":null,"url":null,"internal_url":null},{"position":14,"raw":"[Jin et al., 2020] Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen, and Li Zhang. Style normalization and restitution for generaliz- able person re-identification. In CVPR, 2020.","title":"Style normalization and restitution for generalizable person re-identification","authors":"Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen, Li Zhang","year":"2020","venue":"CVPR","doi":null,"url":null,"internal_url":null},{"position":15,"raw":"[Jing et al., 2015] Xiao-Yuan Jing, Xiaoke Zhu, Fei Wu, Xinge You, Qinglong Liu, Dong Yue, Ruimin Hu, and Baowen Xu. Super-resolution person re-identification with semi-coupled low- rank discriminant dictionary learning. In CVPR, 2015.","title":"Super-resolution person re-identification with semi-coupled lowrank discriminant dictionary learning","authors":"Xiao-Yuan Jing, Xiaoke Zhu, Fei Wu, Xinge You, Qinglong Liu, Dong Yue, Ruimin Hu, Baowen Xu","year":"2015","venue":"CVPR","doi":null,"url":null,"internal_url":null},{"position":16,"raw":"[Kansal et al., 2020] Kajal Kansal, AV Subramanyam, Zheng Wang, and Shin'ichi Satoh. Sdl: Spectrum-disentangled rep- resentation learning for visible-infrared person re-identification. TCSVT, 2020.","title":"Sdl: Spectrum-disentangled representation learning for visible-infrared person re-identification","authors":"Kajal Kansal, Zheng Subramanyam, Shin'ichi Wang, Satoh","year":"2020","venue":"TCSVT","doi":null,"url":null,"internal_url":null},{"position":17,"raw":"[Leng et al., 2019] Qingming Leng, Mang Ye, and Qi Tian. A sur- vey of open-world person re-identification. TCSVT, 2019.","title":"A survey of open-world person re-identification","authors":"Qingming Leng, Mang Ye, Qi Tian","year":"2019","venue":"TCSVT","doi":null,"url":null,"internal_url":null},{"position":18,"raw":"[Li et al., 2015] Xiang Li, Wei-Shi Zheng, Xiaojuan Wang, Tao Xi- ang, and Shaogang Gong. Multi-scale learning for low-resolution person re-identification. In ICCV, 2015.","title":"Multi-scale learning for low-resolution person re-identification","authors":"Xiang Li, Wei-Shi Zheng, Xiaojuan Wang, Tao Xiang, Shaogang Gong","year":"2015","venue":"ICCV","doi":null,"url":null,"internal_url":null},{"position":19,"raw":"[Li et al., 2017a] Shuang Li, Tong Xiao, Hongsheng Li, Wei Yang, and Xiaogang Wang. Identity-aware textual-visual matching with latent co-attention. In ICCV, 2017.","title":"Identity-aware textual-visual matching with latent co-attention","authors":"Li","year":"2017","venue":"ICCV","doi":null,"url":null,"internal_url":null},{"position":20,"raw":"[Li et al., 2017b] Shuang Li, Tong Xiao, Hongsheng Li, Bolei Zhou, Dayu Yue, and Xiaogang Wang. Person search with natural language description. In CVPR, 2017.","title":"Person search with natural language description","authors":"Li","year":"2017","venue":"CVPR","doi":null,"url":null,"internal_url":null},{"position":21,"raw":"[Li et al., 2018] Kai Li, Zhengming Ding, Sheng Li, and Yun Fu. Discriminative semi-coupled projective dictionary learning for low-resolution person re-identification. In AAAI, 2018.","title":"Discriminative semi-coupled projective dictionary learning for low-resolution person re-identification","authors":"Kai Li, Zhengming Ding, Sheng Li, Yun Fu","year":"2018","venue":"AAAI","doi":null,"url":null,"internal_url":null},{"position":22,"raw":"[Li et al., 2020] Diangang Li, Xing Wei, Xiaopeng Hong, and Yi- hong Gong. Infrared-visible cross-modal person re-identification with an x modality. In AAAI, 2020.","title":"Infrared-visible cross-modal person re-identification with an x modality","authors":"Diangang Li, Xing Wei, Xiaopeng Hong, Yihong Gong","year":"2020","venue":"AAAI","doi":null,"url":null,"internal_url":null},{"position":23,"raw":"[Liu et al., 2019] Jiawei Liu, Zheng-Jun Zha, Richang Hong, Meng Wang, and Yongdong Zhang. Deep adversarial graph attention convolution network for text-based person search. In ACM MM, 2019.","title":"Deep adversarial graph attention convolution network for text-based person search","authors":"Jiawei Liu, Zheng-Jun Zha, Richang Hong, Meng Wang, Yongdong Zhang","year":"2019","venue":"ACM MM","doi":null,"url":null,"internal_url":null},{"position":24,"raw":"[Lu et al., 2020] Yan Lu, Yue Wu, Bin Liu, Tianzhu Zhang, Baopu Li, Qi Chu, and Nenghai Yu. Cross-modality person re- identification with shared-specific feature transfer. In CVPR, 2020.","title":"Cross-modality person reidentification with shared-specific feature transfer","authors":"Yan Lu, Yue Wu, Bin Liu, Tianzhu Zhang, Baopu Li, Qi Chu, Nenghai Yu","year":"2020","venue":"CVPR","doi":null,"url":null,"internal_url":null},{"position":25,"raw":"[Luo et al., 2019] Hao Luo, Wei Jiang, Youzhi Gu, Fuxu Liu, Xingyu Liao, Shenqi Lai, and Jianyang Gu. A strong baseline and batch normalization neck for deep person re-identification. TMM, 2019.","title":"A strong baseline and batch normalization neck for deep person re-identification","authors":"Wei Hao Luo, Youzhi Jiang, Fuxu Gu, Xingyu Liu, Shenqi Liao, Jianyang Lai, Gu","year":"2019","venue":"TMM","doi":null,"url":null,"internal_url":null},{"position":26,"raw":"[Mao et al., 2019] Shunan Mao, Shiliang Zhang, and Ming Yang. Resolution-invariant person re-identification. In IJCAI, 2019.","title":"Resolution-invariant person re-identification","authors":"Shunan Mao, Shiliang Zhang, Ming Yang","year":"2019","venue":"IJCAI","doi":null,"url":null,"internal_url":"/proceedings/2019/124"},{"position":27,"raw":"[Mirjalili and Ross, 2017] Vahid Mirjalili and Arun Ross. Soft bio- metric privacy: Retaining biometric utility of face images while perturbing gender. In IJCB, 2017.","title":"Soft biometric privacy: Retaining biometric utility of face images while perturbing gender","authors":"Vahid Mirjalili, Arun Ross","year":"2017","venue":"IJCB","doi":null,"url":null,"internal_url":null},{"position":28,"raw":"[Mogelmose et al., 2013] Andreas Mogelmose, Chris Bahnsen, Thomas Moeslund, Albert Clapes, and Sergio Escalera. Tri- modal person re-identification with rgb, depth and thermal fea- tures. In CVPRW, 2013.","title":"Trimodal person re-identification with rgb, depth and thermal features","authors":"Andreas Mogelmose, Chris Bahnsen, Thomas Moeslund, Albert Clapes, Sergio Escalera","year":"2013","venue":"CVPRW","doi":null,"url":null,"internal_url":null},{"position":29,"raw":"[Munaro et al., 2014] Matteo Munaro, Alberto Basso, Andrea Fos- sati, Luc Van Gool, and Emanuele Menegatti. 3d reconstruction of freely moving persons for re-identification with a depth sensor. In ICRA, 2014.","title":"3d reconstruction of freely moving persons for re-identification with a depth sensor","authors":"Matteo Munaro, Alberto Basso, Andrea Fossati, Luc Van Gool, Emanuele Menegatti","year":"2014","venue":"ICRA","doi":null,"url":null,"internal_url":null},{"position":30,"raw":"[Nambiar et al., 2019] Athira Nambiar, Alexandre Bernardino, and Jacinto C Nascimento. Gait-based person re-identification: A survey. ACM Computing Surveys, 2019.","title":"Gait-based person re-identification: A survey","authors":"Athira Nambiar, Alexandre Bernardino, Jacinto C Nascimento","year":"2019","venue":"ACM Computing Surveys","doi":null,"url":null,"internal_url":null},{"position":31,"raw":"[Nguyen et al., 2017] Dat Nguyen, Hyung Hong, Ki Kim, and Kang Park. Person recognition system based on a combination of body images from visible light and thermal cameras. Sensors, 2017.","title":"Person recognition system based on a combination of body images from visible light and thermal cameras","authors":"Dat Nguyen, Hyung Hong, Ki Kim, Kang Park","year":"2017","venue":"Sensors","doi":null,"url":null,"internal_url":null},{"position":32,"raw":"[Ouyang et al., 2016] Shuxin Ouyang, Timothy Hospedales, Yi- Zhe Song, Xueming Li, Chen Change Loy, and Xiaogang Wang. A survey on heterogeneous face recognition: Sketch, infra-red, 3d and low-resolution. Image and Vision Computing, 2016.","title":"A survey on heterogeneous face recognition: Sketch, infra-red, 3d and low-resolution","authors":"Ouyang","year":"2016","venue":"Image and Vision Computing","doi":null,"url":null,"internal_url":null},{"position":33,"raw":"[Pang et al., 2018] Lu Pang, Yaowei Wang, Yi-Zhe Song, Tiejun Huang, and Yonghong Tian. Cross-domain adversarial feature learning for sketch re-identification. In ACM MM, 2018.","title":"Cross-domain adversarial feature learning for sketch re-identification","authors":"Lu Pang, Yaowei Wang, Yi-Zhe Song, Tiejun Huang, Yonghong Tian","year":"2018","venue":"ACM MM","doi":null,"url":null,"internal_url":null},{"position":34,"raw":"[Vezzani et al., 2013] Roberto Vezzani, Davide Baltieri, and Rita Cucchiara. People reidentification in surveillance and forensics: A survey. ACM Computing Surveys, 2013.","title":"People reidentification in surveillance and forensics: A survey","authors":"Roberto Vezzani, Davide Baltieri, Rita Cucchiara","year":"2013","venue":"ACM Computing Surveys","doi":null,"url":null,"internal_url":null},{"position":35,"raw":"[Wang et al., 2007] Xiaogang Wang, Gianfranco Doretto, Thomas Sebastian, Jens Rittscher, and Peter Tu. Shape and appearance context modeling. In ICCV, 2007.","title":"Shape and appearance context modeling","authors":"Xiaogang Wang, Gianfranco Doretto, Thomas Sebastian, Jens Rittscher, Peter Tu","year":"2007","venue":"ICCV","doi":null,"url":null,"internal_url":null},{"position":36,"raw":"[Wang et al., 2015] Zheng Wang, Ruimin Hu, Yi Yu, Chao Liang, and Wenxin Huang. Multi-level fusion for person re- identification with incomplete marks. In ACM MM, 2015.","title":"Multi-level fusion for person reidentification with incomplete marks","authors":"Zheng Wang, Ruimin Hu, Yi Yu, Chao Liang, Wenxin Huang","year":"2015","venue":"ACM MM","doi":null,"url":null,"internal_url":null},{"position":37,"raw":"[Wang et al., 2016a] Kaiye Wang, Qiyue Yin, Wei Wang, Shu Wu, and Liang Wang. A comprehensive survey on cross-modal re- trieval. arXiv preprint arXiv:1607.06215, 2016.","title":"A comprehensive survey on cross-modal retrieval","authors":"Wang","year":"2016","venue":null,"doi":null,"url":null,"internal_url":null},{"position":38,"raw":"[Wang et al., 2016b] Zheng Wang, Ruimin Hu, Yi Yu, Junjun Jiang, Chao Liang, and Jinqiao Wang. Scale-adaptive low-resolution person re-identification via learning a discriminating surface. In IJCAI, 2016.","title":"Scale-adaptive low-resolution person re-identification via learning a discriminating surface","authors":"Wang","year":"2016","venue":"IJCAI","doi":null,"url":null,"internal_url":"/proceedings/2016/379"},{"position":39,"raw":"[Wang et al., 2018] Zheng Wang, Mang Ye, Fan Yang, Xiang Bai, and Shin'ichi Satoh. Cascaded sr-gan for scale-adaptive low res- olution person re-identification. In IJCAI, 2018.","title":"Cascaded sr-gan for scale-adaptive low resolution person re-identification","authors":"Zheng Wang, Mang Ye, Fan Yang, Xiang Bai, Shin'ichi Satoh","year":"2018","venue":"IJCAI","doi":null,"url":null,"internal_url":"/proceedings/2018/541"},{"position":40,"raw":"[Wang et al., 2019a] Zheng Wang, Junjun Jiang, Yang Wu, Mang Ye, Xiang Bai, and Shin'ichi Satoh. Learning sparse and identity- preserved hidden attributes for person re-identification. TMM, 2019.","title":"Learning sparse and identitypreserved hidden attributes for person re-identification","authors":"Wang","year":"2019","venue":"TMM","doi":null,"url":null,"internal_url":null},{"position":41,"raw":"[Wang et al., 2019b] Zheng Wang, Junjun Jiang, Yi Yu, and Shin'ichi Satoh. Incremental re-identification by cross-direction and cross-ranking adaption. TMM, 2019.","title":"Incremental re-identification by cross-direction and cross-ranking adaption","authors":"Wang","year":"2019","venue":"TMM","doi":null,"url":null,"internal_url":null},{"position":42,"raw":"[Wang et al., 2019c] Zhixiang Wang, Zheng Wang, Yinqiang Zheng, Yung-Yu Chuang, and Shin'ichi Satoh. Learning to reduce dual-level discrepancy for infrared-visible person re- identification. In CVPR, 2019.","title":"Learning to reduce dual-level discrepancy for infrared-visible person reidentification","authors":"Wang","year":"2019","venue":"CVPR","doi":null,"url":null,"internal_url":null},{"position":43,"raw":"[Wang et al., 2020] Guan-An Wang, Tianzhu Zhang Yang, Jian Cheng, Jianlong Chang, Xu Liang, and Zengguang Hou. Cross- modality paired-images generation for rgb-infrared person re- identification. In AAAI, 2020.","title":"Crossmodality paired-images generation for rgb-infrared person reidentification","authors":"Guan-An Wang, Tianzhu Zhang Yang, Jian Cheng, Jianlong Chang, Xu Liang, Zengguang Hou","year":"2020","venue":"AAAI","doi":null,"url":null,"internal_url":null},{"position":44,"raw":"[Wei et al., 2018] Longhui Wei, Shiliang Zhang, Wen Gao, and Qi Tian. Person transfer gan to bridge domain gap for person re-identification. In CVPR, 2018.","title":"Person transfer gan to bridge domain gap for person re-identification","authors":"Longhui Wei, Shiliang Zhang, Wen Gao, Qi Tian","year":"2018","venue":"CVPR","doi":null,"url":null,"internal_url":null},{"position":45,"raw":"[Wu et al., 2017a] Ancong Wu, Wei-Shi Zheng, and Jian-Huang Lai. Robust depth-based person re-identification. TIP, 2017.","title":"Robust depth-based person re-identification","authors":"Wu","year":"2017","venue":"TIP","doi":null,"url":null,"internal_url":null},{"position":46,"raw":"[Wu et al., 2017b] Ancong Wu, Wei-Shi Zheng, Hong-Xing Yu, Shaogang Gong, and Jianhuang Lai. Rgb-infrared cross-modality person re-identification. In ICCV, 2017.","title":"Rgb-infrared cross-modality person re-identification","authors":"Wu","year":"2017","venue":"ICCV","doi":null,"url":null,"internal_url":null},{"position":47,"raw":"[Yang et al., 2020] Fan Yang, Zheng Wang, Jing Xiao, and Shin'ichi Satoh. Mining on heterogeneous manifolds for zero- shot cross-modal image retrieval. In AAAI, 2020.","title":"Mining on heterogeneous manifolds for zeroshot cross-modal image retrieval","authors":"Fan Yang, Zheng Wang, Jing Xiao, Shin'ichi Satoh","year":"2020","venue":"AAAI","doi":null,"url":null,"internal_url":null},{"position":48,"raw":"[Ye et al., 2015] Mang Ye, Chao Liang, Zheng Wang, Qingming Leng, Jun Chen, and Jun Liu. Specific person retrieval via in- complete text description. In ICMR, 2015.","title":"Specific person retrieval via incomplete text description","authors":"Mang Ye, Chao Liang, Zheng Wang, Qingming Leng, Jun Chen, Jun Liu","year":"2015","venue":null,"doi":null,"url":null,"internal_url":null},{"position":49,"raw":"[Ye et al., 2018a] Mang Ye, Xiangyuan Lan, Jiawei Li, and Pong C Yuen. Hierarchical discriminative learning for visible thermal person re-identification. In AAAI, 2018.","title":"Hierarchical discriminative learning for visible thermal person re-identification","authors":"Ye","year":"2018","venue":"AAAI","doi":null,"url":null,"internal_url":null},{"position":50,"raw":"[Ye et al., 2018b] Mang Ye, Zheng Wang, Xiangyuan Lan, and Pong C Yuen. Visible thermal person re-identification via dual- constrained top-ranking. In IJCAI, 2018.","title":"Visible thermal person re-identification via dualconstrained top-ranking","authors":"Ye","year":"2018","venue":"IJCAI","doi":null,"url":null,"internal_url":null},{"position":51,"raw":"[Ye et al., 2019] Mang Ye, Xiangyuan Lan, Zheng Wang, and Pong C Yuen. Bi-directional center-constrained top-ranking for visible thermal person re-identification. TIFS, 2019.","title":"Bi-directional center-constrained top-ranking for visible thermal person re-identification","authors":"Mang Ye, Xiangyuan Lan, Zheng Wang, Pong C Yuen","year":"2019","venue":"TIFS","doi":null,"url":null,"internal_url":null},{"position":52,"raw":"[Ye et al., 2020] Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xi- ang, Ling Shao, and Steven CH Hoi. Deep learning for per- son re-identification: A survey and outlook. arXiv preprint arXiv:2001.04193, 2020.","title":"Deep learning for person re-identification: A survey and outlook","authors":"Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, Steven Ch Hoi","year":"2020","venue":null,"doi":null,"url":null,"internal_url":null},{"position":53,"raw":"[Yin et al., 2018] Zhou Yin, Wei-Shi Zheng, Ancong Wu, Hong- Xing Yu, Hai Wan, Xiaowei Guo, Feiyue Huang, and Jianhuang Lai. Adversarial attribute-image person re-identification. In IJ- CAI, 2018.","title":"Adversarial attribute-image person re-identification","authors":"Wei-Shi Zhou Yin, Ancong Zheng, Hong-Xing Wu, Hai Yu, Xiaowei Wan, Feiyue Guo, Jianhuang Huang, Lai","year":"2018","venue":"IJ-CAI","doi":null,"url":null,"internal_url":"/proceedings/2018/153"},{"position":54,"raw":"[Zeng et al., 2020] Zelong Zeng, Zhixiang Wang, Zheng Wang, Yung-Yu Chuang, and Shin'ichi Satoh. Illumination-adaptive person re-identification. TMM, 2020.","title":"Illumination-adaptive person re-identification","authors":"Zelong Zeng, Zhixiang Wang, Zheng Wang, Yung-Yu Chuang, Shin'ichi Satoh","year":"2020","venue":"TMM","doi":null,"url":null,"internal_url":null},{"position":55,"raw":"[Zhang and Lu, 2018] Ying Zhang and Huchuan Lu. Deep cross- modal projection learning for image-text matching. In ECCV, 2018.","title":"Deep crossmodal projection learning for image-text matching","authors":"Ying Zhang, Huchuan Lu","year":"2018","venue":"ECCV","doi":null,"url":null,"internal_url":null},{"position":56,"raw":"[Zhang et al., 2017] Xuan Zhang, Hao Luo, Xing Fan, Weilai Xi- ang, Yixiao Sun, Qiqi Xiao, Wei Jiang, Chi Zhang, and Jian Sun. Alignedreid: Surpassing human-level performance in person re- identification. arXiv preprint arXiv:1711.08184, 2017.","title":"Alignedreid: Surpassing human-level performance in person reidentification","authors":"Xuan Zhang, Hao Luo, Xing Fan, Weilai Xiang, Yixiao Sun, Qiqi Xiao, Wei Jiang, Chi Zhang, Jian Sun","year":"2017","venue":null,"doi":null,"url":null,"internal_url":null},{"position":57,"raw":"[Zhang et al., 2019] Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, and Zhibo Chen. Densely semantically aligned person re- identification. In CVPR, 2019.","title":"Densely semantically aligned person reidentification","authors":"Zhang","year":"2019","venue":"CVPR","doi":null,"url":null,"internal_url":null},{"position":58,"raw":"[Zheng et al., 2015a] Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jingdong Wang, and Qi Tian. Scalable person re- identification: A benchmark. In ICCV, 2015.","title":"Scalable person reidentification: A benchmark","authors":"Zheng","year":"2015","venue":"ICCV","doi":null,"url":null,"internal_url":null},{"position":59,"raw":"[Zheng et al., 2015b] Wei-Shi Zheng, Xiang Li, Tao Xiang, Sheng- cai Liao, Jianhuang Lai, and Shaogang Gong. Partial person re- identification. In ICCV, 2015.","title":"Partial person reidentification","authors":"Zheng","year":"2015","venue":"ICCV","doi":null,"url":null,"internal_url":null},{"position":60,"raw":"[Zheng et al., 2016] Liang Zheng, Yi Yang, and Alexander G Hauptmann. Person re-identification: Past, present and future. arXiv preprint arXiv:1610.02984, 2016.","title":"Person re-identification: Past, present and future","authors":"Liang Zheng, Yi Yang, Alexander G Hauptmann","year":"2016","venue":null,"doi":null,"url":null,"internal_url":null},{"position":61,"raw":"[Zheng et al., 2019] Liang Zheng, Yujia Huang, Huchuan Lu, and Yi Yang. Pose invariant embedding for deep person re- identification. TIP, 2019.","title":"Pose invariant embedding for deep person reidentification","authors":"Liang Zheng, Yujia Huang, Huchuan Lu, Yi Yang","year":"2019","venue":"TIP","doi":null,"url":null,"internal_url":null},{"position":62,"raw":"[Zhou et al., 2019] Sanping Zhou, Fei Wang, Zeyi Huang, and Jin- jun Wang. Discriminative feature learning with consistent atten- tion regularization for person re-identification. In ICCV, 2019.","title":"Discriminative feature learning with consistent attention regularization for person re-identification","authors":"Sanping Zhou, Fei Wang, Zeyi Huang, Jinjun Wang","year":"2019","venue":"ICCV","doi":null,"url":null,"internal_url":null}],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}