Pedestrian Attributes Recognition Paper List 

2018-12-22 22:08:55

 

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The paper list of person attribute recognition:

 

[1] Deng, Yubin, Ping Luo, Chen Change Loy, and Xiaoou Tang. "Pedestrian attribute recognition at far distance." In Proceedings of the 22nd ACM international conference on Multimedia, pp. 789-792. ACM, 2014.

 

[2] Sudowe, Patrick, Hannah Spitzer, and Bastian Leibe. "Person attribute recognition with a jointly-trained holistic cnn model." In Proceedings of the IEEE International Conference on Computer Vision Workshops, pp. 87-95. 2015.

 

[3] Zhu, Jianqing, Shengcai Liao, Zhen Lei, Dong Yi, and Stan Li. "Pedestrian attribute classification in surveillance: Database and evaluation." In Proceedings of the IEEE International Conference on Computer Vision Workshops, pp. 331-338. 2013.

 

[4] Li, Dangwei, Zhang Zhang, Xiaotang Chen, Haibin Ling, and Kaiqi Huang. "A richly annotated dataset for pedestrian attribute recognition." arXiv preprint arXiv:1603.07054 (2016).

 

[5] Fabbri, Matteo, Simone Calderara, and Rita Cucchiara. "Generative adversarial models for people attribute recognition in surveillance." In Advanced Video and Signal Based Surveillance (AVSS), 2017 14th IEEE International Conference on, pp. 1-6. IEEE, 2017.

 

[6] Guo, Qi, Ce Zhu, Zhiqiang Xia, Zhengtao Wang, and Yipeng Liu. "Attribute-controlled face photo synthesis from simple line drawing." In Image Processing (ICIP), 2017 IEEE International Conference on, pp. 2946-2950. IEEE, 2017.

 

[7] Yan, Xinchen, Jimei Yang, Kihyuk Sohn, and Honglak Lee. "Attribute2image: Conditional image generation from visual attributes." In European Conference on Computer Vision, pp. 776-791. Springer, Cham, 2016.

 

[8] Hand, Emily M., and Rama Chellappa. "Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification." In AAAI, pp. 4068-4074. 2017.

 

[9] Yang, L. , Zhu, L. , Wei, Y. , Liang, S. , & Tan, P. . (2016). Attribute recognition from adaptive parts.

 

[10] Park, Seyoung, and Song-Chun Zhu. "Attributed grammars for joint estimation of human attributes, part and pose." In Proceedings of the IEEE International Conference on Computer Vision, pp. 2372-2380. 2015.

 

[11] Gkioxari, Georgia, Ross Girshick, and Jitendra Malik. "Actions and attributes from wholes and parts." In Proceedings of the IEEE International Conference on Computer Vision, pp. 2470-2478. 2015.

 

[12] Li, Yining, Chen Huang, Chen Change Loy, and Xiaoou Tang. "Human attribute recognition by deep hierarchical contexts." In European Conference on Computer Vision, pp. 684-700. Springer, Cham, 2016.

 

[13] Zhang, Ning, Manohar Paluri, Marc'Aurelio Ranzato, Trevor Darrell, and Lubomir Bourdev. "Panda: Pose aligned networks for deep attribute modeling." In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 1637-1644. 2014.

 

[14] Bourdev, Lubomir, Subhransu Maji, and Jitendra Malik. "Describing people: A poselet-based approach to attribute classification." In Computer Vision (ICCV), 2011 IEEE International Conference on, pp. 1543-1550. IEEE, 2011.

 

[15] Li, Yining, Chen Huang, Chen Change Loy, and Xiaoou Tang. "Human attribute recognition by deep hierarchical contexts." In European Conference on Computer Vision, pp. 684-700. Springer, Cham, 2016.

 

[16] Wang, Jingya, Xiatian Zhu, Shaogang Gong, and Wei Li. "Attribute Recognition by Joint Recurrent Learning of Context and Correlation." In Computer Vision (ICCV), 2017 IEEE International Conference on, pp. 531-540. IEEE, 2017.

 

[17] Chen, Tianshui, Zhouxia Wang, Guanbin Li, and Liang Lin. "Recurrent Attentional Reinforcement Learning for Multi-label Image Recognition." arXiv preprint arXiv:1712.07465 (2017).

 

[18] Wang, Zhouxia, Tianshui Chen, Guanbin Li, Ruijia Xu, and Liang Lin. "Multi-label image recognition by recurrently discovering attentional regions." In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 464-472. 2017.

 

[19] Wang, Jiang, Yi Yang, Junhua Mao, Zhiheng Huang, Chang Huang, and Wei Xu. "Cnn-rnn: A unified framework for multi-label image classification." In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 2285-2294. 2016.

 

[20] Trigeorgis, George, Konstantinos Bousmalis, Stefanos Zafeiriou, and Björn W. Schuller. "A deep matrix factorization method for learning attribute representations." IEEE transactions on pattern analysis and machine intelligence 39, no. 3 (2017): 417-429.

 

[21] Lampert, Christoph H., Hannes Nickisch, and Stefan Harmeling. "Attribute-based classification for zero-shot visual object categorization." IEEE Transactions on Pattern Analysis and Machine Intelligence 36, no. 3 (2014): 453-465.

 

[22] Lin, Yutian, Liang Zheng, Zhedong Zheng, Yu Wu, and Yi Yang. "Improving person re-identification by attribute and identity learning." arXiv preprint arXiv:1703.07220 (2017).

 

[23] Liu, Xihui, Haiyu Zhao, Maoqing Tian, Lu Sheng, Jing Shao, Shuai Yi, Junjie Yan, and Xiaogang Wang. "Hydraplus-net: Attentive deep features for pedestrian analysis." arXiv preprint arXiv:1709.09930 (2017).

 

[24] Fouhey, David F., Abhinav Gupta, and Andrew Zisserman. "3D shape attributes." In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1516-1524. 2016.

 

[25] Fouhey, David F., Abhinav Gupta, and Andrew Zisserman. "Understanding higher-order shape via 3D shape attributes." IEEE TPAMI (2017).

 

[26] Zhou, Yang, Kai Yu, Biao Leng, Zhang Zhang, Dangwei Li, Kaiqi Huang, Bailan Feng, and Chunfeng Yao. "Weakly-supervised learning of mid-level features for pedestrian attribute recognition and localization." In BMVC. 2017.

 

[27] Wang, Jing, Yu Cheng, and Rogerio Schmidt Feris. "Walk and learn: Facial attribute representation learning from egocentric video and contextual data." In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 2295-2304. 2016.

 

[28] Su, Jong-Chyi, Chenyun Wu, Huaizu Jiang, and Subhransu Maji. "Reasoning about fine-grained attribute phrases using reference games." arXiv preprint arXiv:1708.08874 (2017).

 

[29] Dong, Qi, Shaogang Gong, and Xiatian Zhu. "Multi-task curriculum transfer deep learning of clothing attributes." In Applications of Computer Vision (WACV), 2017 IEEE Winter Conference on, pp. 520-529. IEEE, 2017.

 

[30] Li, Dangwei, Xiaotang Chen, and Kaiqi Huang. "Multi-attribute learning for pedestrian attribute recognition in surveillance scenarios." In Pattern Recognition (ACPR), 2015 3rd IAPR Asian Conference on, pp. 111-115. IEEE, 2015.

 

[31] Kalayeh, Mahdi M., Boqing Gong, and Mubarak Shah. "Improving facial attribute prediction using semantic segmentation." In Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on, pp. 4227-4235. IEEE, 2017.

 

[32] Lu, Yongxi, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, and Rogério Schmidt Feris. "Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification." In CVPR, vol. 1, no. 2, p. 6. 2017.

 

[32] Sarafianos, Nikolaos, Xiang Xu, and Ioannis A. Kakadiaris. "Deep Imbalanced Attribute Classification using Visual Attention Aggregation." In Proceedings of the European Conference on Computer Vision (ECCV), pp. 680-697. 2018.

 

[33] Li, Mu, Wangmeng Zuo, and David Zhang. "Deep identity-aware transfer of facial attributes." arXiv preprint arXiv:1610.05586 (2016).