{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:13:07Z","timestamp":1750219987502,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":49,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,11,17]],"date-time":"2022-11-17T00:00:00Z","timestamp":1668643200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2016YFB0801301, 2021YFF0602103, 2021YFF0602102"],"award-info":[{"award-number":["2016YFB0801301, 2021YFF0602103, 2021YFF0602102"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,11,17]]},"DOI":"10.1145\/3581807.3581838","type":"proceedings-article","created":{"date-parts":[[2023,5,23]],"date-time":"2023-05-23T00:02:28Z","timestamp":1684800148000},"page":"210-218","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Portrait Interpretation and a Benchmark"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8181-6487","authenticated-orcid":false,"given":"Yixuan","family":"Fan","sequence":"first","affiliation":[{"name":"Department of Electronic Engineering, Tsinghua University, China and Beijing National Research Center for Information Science and Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0027-0361","authenticated-orcid":false,"given":"Zhaopeng","family":"Dou","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Tsinghua University, China and Beijing National Research Center for Information Science and Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6629-7228","authenticated-orcid":false,"given":"Yali","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Tsinghua University, China and Beijing National Research Center for Information Science and Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7809-1932","authenticated-orcid":false,"given":"Shengjin","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Tsinghua University, China and Beijing National Research Center for Information Science and Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,5,22]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Vqa: Visual question answering. In ICCV. 2425\u20132433.","author":"Antol Stanislaw","year":"2015","unstructured":"Stanislaw Antol , Aishwarya Agrawal , Jiasen Lu , Margaret Mitchell , Dhruv Batra , C\u00a0Lawrence Zitnick , and Devi Parikh . 2015 . Vqa: Visual question answering. In ICCV. 2425\u20132433. Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C\u00a0Lawrence Zitnick, and Devi Parikh. 2015. Vqa: Visual question answering. In ICCV. 2425\u20132433."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Lubomir Bourdev Subhransu Maji and Jitendra Malik. 2011. Describing people: A poselet-based approach to attribute classification. In ICCV. 1543\u20131550.  Lubomir Bourdev Subhransu Maji and Jitendra Malik. 2011. Describing people: A poselet-based approach to attribute classification. In ICCV. 1543\u20131550.","DOI":"10.1109\/ICCV.2011.6126413"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Zhe Cao Tao Qin Tie-Yan Liu Ming-Feng Tsai and Hang Li. 2007. Learning to rank: from pairwise approach to listwise approach. In ICML. 129\u2013136.  Zhe Cao Tao Qin Tie-Yan Liu Ming-Feng Tsai and Hang Li. 2007. Learning to rank: from pairwise approach to listwise approach. In ICML. 129\u2013136.","DOI":"10.1145\/1273496.1273513"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Yin Cui Menglin Jia Tsung-Yi Lin Yang Song and Serge Belongie. 2019. Class-balanced loss based on effective number of samples. In CVPR. 9268\u20139277.  Yin Cui Menglin Jia Tsung-Yi Lin Yang Song and Serge Belongie. 2019. Class-balanced loss based on effective number of samples. In CVPR. 9268\u20139277.","DOI":"10.1109\/CVPR.2019.00949"},{"key":"e_1_3_2_1_5_1","volume-title":"Imagenet: A large-scale hierarchical image database. In CVPR. 248\u2013255.","author":"Deng Jia","year":"2009","unstructured":"Jia Deng , Wei Dong , Richard Socher , Li-Jia Li , Kai Li , and Li Fei-Fei . 2009 . Imagenet: A large-scale hierarchical image database. In CVPR. 248\u2013255. Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. 2009. Imagenet: A large-scale hierarchical image database. In CVPR. 248\u2013255."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Yubin Deng Ping Luo Chen\u00a0Change Loy and Xiaoou Tang. 2014. Pedestrian attribute recognition at far distance. In ACM MM. 789\u2013792.  Yubin Deng Ping Luo Chen\u00a0Change Loy and Xiaoou Tang. 2014. Pedestrian attribute recognition at far distance. In ACM MM. 789\u2013792.","DOI":"10.1145\/2647868.2654966"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1037\/h0030377"},{"key":"e_1_3_2_1_8_1","volume-title":"Nddr-cnn: Layerwise feature fusing in multi-task cnns by neural discriminative dimensionality reduction. In CVPR. 3205\u20133214.","author":"Gao Yuan","year":"2019","unstructured":"Yuan Gao , Jiayi Ma , Mingbo Zhao , Wei Liu , and Alan\u00a0 L Yuille . 2019 . Nddr-cnn: Layerwise feature fusing in multi-task cnns by neural discriminative dimensionality reduction. In CVPR. 3205\u20133214. Yuan Gao, Jiayi Ma, Mingbo Zhao, Wei Liu, and Alan\u00a0L Yuille. 2019. Nddr-cnn: Layerwise feature fusing in multi-task cnns by neural discriminative dimensionality reduction. In CVPR. 3205\u20133214."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"David Hall and Pietro Perona. 2015. Fine-grained classification of pedestrians in video: Benchmark and state of the art. In CVPR. 5482\u20135491.  David Hall and Pietro Perona. 2015. Fine-grained classification of pedestrians in video: Benchmark and state of the art. In CVPR. 5482\u20135491.","DOI":"10.1109\/CVPR.2015.7299187"},{"key":"e_1_3_2_1_10_1","unstructured":"Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2016. Deep residual learning for image recognition. In CVPR. 770\u2013778.  Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2016. Deep residual learning for image recognition. In CVPR. 770\u2013778."},{"key":"e_1_3_2_1_11_1","unstructured":"Alexander Hermans Lucas Beyer and Bastian Leibe. 2017. In defense of the triplet loss for person re-identification. arXiv preprint arXiv:1703.07737(2017).  Alexander Hermans Lucas Beyer and Bastian Leibe. 2017. In defense of the triplet loss for person re-identification. arXiv preprint arXiv:1703.07737(2017)."},{"key":"e_1_3_2_1_12_1","unstructured":"Ronghang Hu and Amanpreet Singh. 2021. UniT: Multimodal Multitask Learning With a Unified Transformer. In ICCV. 1439\u20131449.  Ronghang Hu and Amanpreet Singh. 2021. UniT: Multimodal Multitask Learning With a Unified Transformer. In ICCV. 1439\u20131449."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Jian Jia Xiaotang Chen and Kaiqi Huang. 2021. Spatial and Semantic Consistency Regularizations for Pedestrian Attribute Recognition. In ICCV. 962\u2013971.  Jian Jia Xiaotang Chen and Kaiqi Huang. 2021. Spatial and Semantic Consistency Regularizations for Pedestrian Attribute Recognition. In ICCV. 962\u2013971.","DOI":"10.1109\/ICCV48922.2021.00100"},{"key":"e_1_3_2_1_14_1","unstructured":"Alex Kendall Yarin Gal and Roberto Cipolla. 2018. Multi-task learning using uncertainty to weigh losses for scene geometry and semantics. In CVPR. 7482\u20137491.  Alex Kendall Yarin Gal and Roberto Cipolla. 2018. Multi-task learning using uncertainty to weigh losses for scene geometry and semantics. In CVPR. 7482\u20137491."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Apoorv Khattar Srinidhi Hegde and Ramya Hebbalaguppe. 2021. Cross-Domain Multi-Task Learning for Object Detection and Saliency Estimation. In CVPRW. 3639\u20133648.  Apoorv Khattar Srinidhi Hegde and Ramya Hebbalaguppe. 2021. Cross-Domain Multi-Task Learning for Object Detection and Saliency Estimation. In CVPRW. 3639\u20133648.","DOI":"10.1109\/CVPRW53098.2021.00403"},{"key":"e_1_3_2_1_16_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980(2014).","author":"Kingma P","year":"2014","unstructured":"Diederik\u00a0 P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980(2014). Diederik\u00a0P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980(2014)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Alexander Kirillov Kaiming He Ross Girshick Carsten Rother and Piotr Doll\u00e1r. 2019. Panoptic segmentation. In CVPR. 9404\u20139413.  Alexander Kirillov Kaiming He Ross Girshick Carsten Rother and Piotr Doll\u00e1r. 2019. Panoptic segmentation. In CVPR. 9404\u20139413.","DOI":"10.1109\/CVPR.2019.00963"},{"key":"e_1_3_2_1_18_1","unstructured":"Dangwei Li Xiaotang Chen and Kaiqi Huang. 2015. Multi-attribute Learning for Pedestrian Attribute Recognition in Surveillance Scenarios. In ACPR. 111\u2013115.  Dangwei Li Xiaotang Chen and Kaiqi Huang. 2015. Multi-attribute Learning for Pedestrian Attribute Recognition in Surveillance Scenarios. In ACPR. 111\u2013115."},{"key":"e_1_3_2_1_19_1","first-page":"1575","article-title":"A richly annotated pedestrian dataset for person retrieval in real surveillance scenarios","volume":"28","author":"Li Dangwei","year":"2018","unstructured":"Dangwei Li , Zhang Zhang , Xiaotang Chen , and Kaiqi Huang . 2018 . A richly annotated pedestrian dataset for person retrieval in real surveillance scenarios . IEEE TIP 28 , 4 (2018), 1575 \u2013 1590 . Dangwei Li, Zhang Zhang, Xiaotang Chen, and Kaiqi Huang. 2018. A richly annotated pedestrian dataset for person retrieval in real surveillance scenarios. IEEE TIP 28, 4 (2018), 1575\u20131590.","journal-title":"IEEE TIP"},{"key":"e_1_3_2_1_20_1","unstructured":"Tianjiao Li Jun Liu Wei Zhang Yun Ni Wenqian Wang and Zhiheng Li. 2021. UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles. In CVPR. 16266\u201316275.  Tianjiao Li Jun Liu Wei Zhang Yun Ni Wenqian Wang and Zhiheng Li. 2021. UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles. In CVPR. 16266\u201316275."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Yining Li Chen Huang Chen\u00a0Change Loy and Xiaoou Tang. 2016. Human attribute recognition by deep hierarchical contexts. In ECCV. 684\u2013700.  Yining Li Chen Huang Chen\u00a0Change Loy and Xiaoou Tang. 2016. Human attribute recognition by deep hierarchical contexts. In ECCV. 684\u2013700.","DOI":"10.1007\/978-3-319-46466-4_41"},{"key":"e_1_3_2_1_22_1","volume-title":"Model-protected multi-task learning","author":"Liang Jian","year":"2020","unstructured":"Jian Liang , Ziqi Liu , Jiayu Zhou , Xiaoqian Jiang , Changshui Zhang , and Fei Wang . 2020. Model-protected multi-task learning . IEEE TPAMI ( 2020 ). Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Changshui Zhang, and Fei Wang. 2020. Model-protected multi-task learning. IEEE TPAMI (2020)."},{"key":"e_1_3_2_1_23_1","first-page":"151","article-title":"Improving person re-identification by attribute and identity learning","volume":"95","author":"Lin Yutian","year":"2019","unstructured":"Yutian Lin , Liang Zheng , Zhedong Zheng , Yu Wu , Zhilan Hu , Chenggang Yan , and Yi Yang . 2019 . Improving person re-identification by attribute and identity learning . PR 95 (2019), 151 \u2013 161 . Yutian Lin, Liang Zheng, Zhedong Zheng, Yu Wu, Zhilan Hu, Chenggang Yan, and Yi Yang. 2019. Improving person re-identification by attribute and identity learning. PR 95(2019), 151\u2013161.","journal-title":"PR"},{"key":"e_1_3_2_1_24_1","unstructured":"Shikun Liu Edward Johns and Andrew\u00a0J Davison. 2019. End-to-end multi-task learning with attention. In CVPR. 1871\u20131880.  Shikun Liu Edward Johns and Andrew\u00a0J Davison. 2019. End-to-end multi-task learning with attention. In CVPR. 1871\u20131880."},{"key":"e_1_3_2_1_25_1","volume-title":"Hydraplus-net: Attentive deep features for pedestrian analysis. In ICCV. 350\u2013359.","author":"Liu Xihui","year":"2017","unstructured":"Xihui Liu , Haiyu Zhao , Maoqing Tian , Lu Sheng , Jing Shao , Shuai Yi , Junjie Yan , and Xiaogang Wang . 2017 . Hydraplus-net: Attentive deep features for pedestrian analysis. In ICCV. 350\u2013359. Xihui Liu, Haiyu Zhao, Maoqing Tian, Lu Sheng, Jing Shao, Shuai Yi, Junjie Yan, and Xiaogang Wang. 2017. Hydraplus-net: Attentive deep features for pedestrian analysis. In ICCV. 350\u2013359."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"Hao Luo Youzhi Gu Xingyu Liao Shenqi Lai and Wei Jiang. 2019. Bag of tricks and a strong baseline for deep person re-identification. In CVPRW.  Hao Luo Youzhi Gu Xingyu Liao Shenqi Lai and Wei Jiang. 2019. Bag of tricks and a strong baseline for deep person re-identification. In CVPRW.","DOI":"10.1109\/CVPRW.2019.00190"},{"key":"e_1_3_2_1_27_1","first-page":"2597","article-title":"A strong baseline and batch normalization neck for deep person re-identification","volume":"22","author":"Luo Hao","year":"2019","unstructured":"Hao Luo , Wei Jiang , Youzhi Gu , Fuxu Liu , Xingyu Liao , Shenqi Lai , and Jianyang Gu . 2019 . A strong baseline and batch normalization neck for deep person re-identification . IEEE TMM 22 , 10 (2019), 2597 \u2013 2609 . Hao Luo, Wei Jiang, Youzhi Gu, Fuxu Liu, Xingyu Liao, Shenqi Lai, and Jianyang Gu. 2019. A strong baseline and batch normalization neck for deep person re-identification. IEEE TMM 22, 10 (2019), 2597\u20132609.","journal-title":"IEEE TMM"},{"key":"e_1_3_2_1_28_1","unstructured":"Jiaqi Ma Zhe Zhao Xinyang Yi Jilin Chen Lichan Hong and Ed\u00a0H Chi. 2018. Modeling task relationships in multi-task learning with multi-gate mixture-of-experts. In KDD. 1930\u20131939.  Jiaqi Ma Zhe Zhao Xinyang Yi Jilin Chen Lichan Hong and Ed\u00a0H Chi. 2018. Modeling task relationships in multi-task learning with multi-gate mixture-of-experts. In KDD. 1930\u20131939."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992972"},{"key":"e_1_3_2_1_30_1","unstructured":"Brendan McMahan Eider Moore Daniel Ramage Seth Hampson and Blaise\u00a0Aguera y Arcas. 2017. Communication-efficient learning of deep networks from decentralized data. In AISTATS. 1273\u20131282.  Brendan McMahan Eider Moore Daniel Ramage Seth Hampson and Blaise\u00a0Aguera y Arcas. 2017. Communication-efficient learning of deep networks from decentralized data. In AISTATS. 1273\u20131282."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Ishan Misra Abhinav Shrivastava Abhinav Gupta and Martial Hebert. 2016. Cross-stitch networks for multi-task learning. In CVPR. 3994\u20134003.  Ishan Misra Abhinav Shrivastava Abhinav Gupta and Martial Hebert. 2016. Cross-stitch networks for multi-task learning. In CVPR. 3994\u20134003.","DOI":"10.1109\/CVPR.2016.433"},{"key":"e_1_3_2_1_32_1","volume-title":"Facenet: A unified embedding for face recognition and clustering. In CVPR. 815\u2013823.","author":"Schroff Florian","year":"2015","unstructured":"Florian Schroff , Dmitry Kalenichenko , and James Philbin . 2015 . Facenet: A unified embedding for face recognition and clustering. In CVPR. 815\u2013823. Florian Schroff, Dmitry Kalenichenko, and James Philbin. 2015. Facenet: A unified embedding for face recognition and clustering. In CVPR. 815\u2013823."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"crossref","unstructured":"Gaurav Sharma and Frederic Jurie. 2011. Learning discriminative spatial representation for image classification. In BMVC. 1\u201311.  Gaurav Sharma and Frederic Jurie. 2011. Learning discriminative spatial representation for image classification. In BMVC. 1\u201311.","DOI":"10.5244\/C.25.6"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"crossref","unstructured":"Patrick Sudowe Hannah Spitzer and Bastian Leibe. 2015. Person attribute recognition with a jointly-trained holistic cnn model. In ICCVW. 87\u201395.  Patrick Sudowe Hannah Spitzer and Bastian Leibe. 2015. Person attribute recognition with a jointly-trained holistic cnn model. In ICCVW. 87\u201395.","DOI":"10.1109\/ICCVW.2015.51"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"crossref","unstructured":"Ke Sun Bin Xiao Dong Liu and Jingdong Wang. 2019. Deep high-resolution representation learning for human pose estimation. In CVPR. 5693\u20135703.  Ke Sun Bin Xiao Dong Liu and Jingdong Wang. 2019. Deep high-resolution representation learning for human pose estimation. In CVPR. 5693\u20135703.","DOI":"10.1109\/CVPR.2019.00584"},{"key":"e_1_3_2_1_36_1","volume-title":"Attention-based pedestrian attribute analysis","author":"Tan Zichang","year":"2019","unstructured":"Zichang Tan , Yang Yang , Jun Wan , Hanyuan Hang , Guodong Guo , and Stan\u00a0 Z Li. 2019. Attention-based pedestrian attribute analysis . IEEE TIP ( 2019 ), 6126\u20136140. Zichang Tan, Yang Yang, Jun Wan, Hanyuan Hang, Guodong Guo, and Stan\u00a0Z Li. 2019. Attention-based pedestrian attribute analysis. IEEE TIP (2019), 6126\u20136140."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"crossref","unstructured":"Chufeng Tang Lu Sheng Zhaoxiang Zhang and Xiaolin Hu. 2019. Improving pedestrian attribute recognition with weakly-supervised multi-scale attribute-specific localization. In ICCV. 4997\u20135006.  Chufeng Tang Lu Sheng Zhaoxiang Zhang and Xiaolin Hu. 2019. Improving pedestrian attribute recognition with weakly-supervised multi-scale attribute-specific localization. In ICCV. 4997\u20135006.","DOI":"10.1109\/ICCV.2019.00510"},{"key":"e_1_3_2_1_38_1","volume-title":"Deeppose: Human pose estimation via deep neural networks. In CVPR. 1653\u20131660.","author":"Toshev Alexander","year":"2014","unstructured":"Alexander Toshev and Christian Szegedy . 2014 . Deeppose: Human pose estimation via deep neural networks. In CVPR. 1653\u20131660. Alexander Toshev and Christian Szegedy. 2014. Deeppose: Human pose estimation via deep neural networks. In CVPR. 1653\u20131660."},{"key":"e_1_3_2_1_39_1","volume-title":"Mti-net: Multi-scale task interaction networks for multi-task learning. In ECCV. 527\u2013543.","author":"Vandenhende Simon","year":"2020","unstructured":"Simon Vandenhende , Stamatios Georgoulis , and Luc Van\u00a0Gool . 2020 . Mti-net: Multi-scale task interaction networks for multi-task learning. In ECCV. 527\u2013543. Simon Vandenhende, Stamatios Georgoulis, and Luc Van\u00a0Gool. 2020. Mti-net: Multi-scale task interaction networks for multi-task learning. In ECCV. 527\u2013543."},{"key":"e_1_3_2_1_40_1","volume-title":"Deep high-resolution representation learning for visual recognition","author":"Wang Jingdong","year":"2020","unstructured":"Jingdong Wang , Ke Sun , Tianheng Cheng , Borui Jiang , Chaorui Deng , Yang Zhao , Dong Liu , Yadong Mu , Mingkui Tan , Xinggang Wang , 2020. Deep high-resolution representation learning for visual recognition . IEEE TPAMI ( 2020 ). Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, 2020. Deep high-resolution representation learning for visual recognition. IEEE TPAMI (2020)."},{"key":"e_1_3_2_1_41_1","volume-title":"Cnn-rnn: A unified framework for multi-label image classification. In CVPR. 2285\u20132294.","author":"Wang Jiang","year":"2016","unstructured":"Jiang Wang , Yi Yang , Junhua Mao , Zhiheng Huang , Chang Huang , and Wei Xu . 2016 . Cnn-rnn: A unified framework for multi-label image classification. In CVPR. 2285\u20132294. Jiang Wang, Yi Yang, Junhua Mao, Zhiheng Huang, Chang Huang, and Wei Xu. 2016. Cnn-rnn: A unified framework for multi-label image classification. In CVPR. 2285\u20132294."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"crossref","unstructured":"Zhongdao Wang Liang Zheng Yixuan Liu Yali Li and Shengjin Wang. 2020. Towards real-time multi-object tracking. In ECCV. 107\u2013122.  Zhongdao Wang Liang Zheng Yixuan Liu Yali Li and Shengjin Wang. 2020. Towards real-time multi-object tracking. In ECCV. 107\u2013122.","DOI":"10.1007\/978-3-030-58621-8_7"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"crossref","unstructured":"Mingda Wu Di Huang Yuanfang Guo and Yunhong Wang. 2020. Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism. In AAAI. 12394\u201312401.  Mingda Wu Di Huang Yuanfang Guo and Yunhong Wang. 2020. Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism. In AAAI. 12394\u201312401.","DOI":"10.1609\/aaai.v34i07.6925"},{"key":"e_1_3_2_1_44_1","unstructured":"Christoph Zauner. 2010. Implementation and benchmarking of perceptual image hash functions. (2010).  Christoph Zauner. 2010. Implementation and benchmarking of perceptual image hash functions. (2010)."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"crossref","unstructured":"Zhanpeng Zhang Ping Luo Chen\u00a0Change Loy and Xiaoou Tang. 2014. Facial landmark detection by deep multi-task learning. In ECCV. 94\u2013108.  Zhanpeng Zhang Ping Luo Chen\u00a0Change Loy and Xiaoou Tang. 2014. Facial landmark detection by deep multi-task learning. In ECCV. 94\u2013108.","DOI":"10.1007\/978-3-319-10599-4_7"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"crossref","unstructured":"Xin Zhao Liufang Sang Guiguang Ding Jungong Han Na Di and Chenggang Yan. 2019. Recurrent attention model for pedestrian attribute recognition. In AAAI. 9275\u20139282.  Xin Zhao Liufang Sang Guiguang Ding Jungong Han Na Di and Chenggang Yan. 2019. Recurrent attention model for pedestrian attribute recognition. In AAAI. 9275\u20139282.","DOI":"10.1609\/aaai.v33i01.33019275"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"crossref","unstructured":"Liang Zheng Liyue Shen Lu Tian Shengjin Wang Jingdong Wang and Qi Tian. 2015. Scalable person re-identification: A benchmark. In ICCV. 1116\u20131124.  Liang Zheng Liyue Shen Lu Tian Shengjin Wang Jingdong Wang and Qi Tian. 2015. Scalable person re-identification: A benchmark. In ICCV. 1116\u20131124.","DOI":"10.1109\/ICCV.2015.133"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"crossref","unstructured":"Ling Zhou Zhen Cui Chunyan Xu Zhenyu Zhang Chaoqun Wang Tong Zhang and Jian Yang. 2020. Pattern-structure diffusion for multi-task learning. In CVPR. 4514\u20134523.  Ling Zhou Zhen Cui Chunyan Xu Zhenyu Zhang Chaoqun Wang Tong Zhang and Jian Yang. 2020. Pattern-structure diffusion for multi-task learning. In CVPR. 4514\u20134523.","DOI":"10.1109\/CVPR42600.2020.00457"},{"key":"e_1_3_2_1_49_1","unstructured":"Jianqing Zhu Shengcai Liao Zhen Lei Dong Yi and Stan Li. 2013. Pedestrian attribute classification in surveillance: Database and evaluation. In ICCVW. 331\u2013338.  Jianqing Zhu Shengcai Liao Zhen Lei Dong Yi and Stan Li. 2013. Pedestrian attribute classification in surveillance: Database and evaluation. In ICCVW. 331\u2013338."}],"event":{"name":"ICCPR 2022: 2022 11th International Conference on Computing and Pattern Recognition","acronym":"ICCPR 2022","location":"Beijing China"},"container-title":["Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3581807.3581838","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3581807.3581838","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:30Z","timestamp":1750182570000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3581807.3581838"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,17]]},"references-count":49,"alternative-id":["10.1145\/3581807.3581838","10.1145\/3581807"],"URL":"https:\/\/doi.org\/10.1145\/3581807.3581838","relation":{},"subject":[],"published":{"date-parts":[[2022,11,17]]},"assertion":[{"value":"2023-05-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}