Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification
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Jian Sun | Qin Xu | Yifan Sun | Shengjin Wang | Yali Li | Chi Zhang | Yikang Li | Jian Sun | Shengjin Wang | Yali Li | Yifan Sun | Chi Zhang | Yikang Li | Qin Xu
[1] Xiaogang Wang,et al. HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[2] Alexei A. Efros,et al. Unsupervised Visual Representation Learning by Context Prediction , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[3] Shaogang Gong,et al. Person Re-identification by Video Ranking , 2014, ECCV.
[4] Jian-Huang Lai,et al. Occluded Person Re-Identification , 2018, 2018 IEEE International Conference on Multimedia and Expo (ICME).
[5] Muhittin Gokmen,et al. Human Semantic Parsing for Person Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[6] Hantao Yao,et al. Deep Representation Learning With Part Loss for Person Re-Identification , 2017, IEEE Transactions on Image Processing.
[7] Gregory Shakhnarovich,et al. Learning Representations for Automatic Colorization , 2016, ECCV.
[8] Paolo Favaro,et al. Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles , 2016, ECCV.
[9] David A. McAllester,et al. A discriminatively trained, multiscale, deformable part model , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Shengcai Liao,et al. Partial Face Recognition: Alignment-Free Approach , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Ke Gong,et al. Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Qi Tian,et al. Scalable Person Re-identification: A Benchmark , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[13] Yi Yang,et al. Person Re-identification: Past, Present and Future , 2016, ArXiv.
[14] Yaser Sheikh,et al. OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] Yi Yang,et al. Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[16] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Shiliang Zhang,et al. Pose-Driven Deep Convolutional Model for Person Re-identification , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[18] Abhinav Gupta,et al. Transitive Invariance for Self-Supervised Visual Representation Learning , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[19] Haiqing Li,et al. Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-free Approach , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[20] Zhenan Sun,et al. Recognizing Partial Biometric Patterns , 2018, ArXiv.
[21] Yi Yang,et al. Generalizing a Person Retrieval Model Hetero- and Homogeneously , 2018, ECCV.
[22] Iasonas Kokkinos,et al. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Jingdong Wang,et al. Deeply-Learned Part-Aligned Representations for Person Re-identification , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[24] Qi Tian,et al. Beyond Part Models: Person Retrieval with Refined Part Pooling , 2017, ECCV.
[25] Marc'Aurelio Ranzato,et al. Building high-level features using large scale unsupervised learning , 2011, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[26] Jian Sun,et al. AlignedReID: Surpassing Human-Level Performance in Person Re-Identification , 2017, ArXiv.
[27] Varun Ramakrishna,et al. Convolutional Pose Machines , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] Shaogang Gong,et al. Person re-identification by probabilistic relative distance comparison , 2011, CVPR 2011.
[30] Jia Deng,et al. Stacked Hourglass Networks for Human Pose Estimation , 2016, ECCV.
[31] Bernt Schiele,et al. DeeperCut: A Deeper, Stronger, and Faster Multi-person Pose Estimation Model , 2016, ECCV.
[32] Rui Yu,et al. Hard-Aware Point-to-Set Deep Metric for Person Re-identification , 2018, ECCV.
[33] Xiang Li,et al. Partial Person Re-Identification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[34] Q. Tian,et al. GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval , 2017, ACM Multimedia.
[35] Francesco Solera,et al. Performance Measures and a Data Set for Multi-target, Multi-camera Tracking , 2016, ECCV Workshops.
[36] Lucas Beyer,et al. In Defense of the Triplet Loss for Person Re-Identification , 2017, ArXiv.
[37] Jian Sun,et al. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[38] Qi Tian,et al. MARS: A Video Benchmark for Large-Scale Person Re-Identification , 2016, ECCV.