暂无分享,去创建一个
Feiyue Huang | Feng Zheng | Xiaowei Guo | Xing Sun | Xinyang Jiang | Zongqiao Yu | Xinyang Jiang | Xing Sun | Zongqiao Yu | Feiyue Huang | Feng Zheng | Xiaowei Guo
[1] Gang Wang,et al. Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[2] Xiaogang Wang,et al. DeepReID: Deep Filter Pairing Neural Network for Person Re-identification , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Shiliang Zhang,et al. Pose-Driven Deep Convolutional Model for Person Re-identification , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[4] Shaogang Gong,et al. Harmonious Attention Network for Person Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[5] Matthew Riemer,et al. Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning , 2017, ICLR.
[6] Shaogang Gong,et al. Person Re-Identification by Deep Joint Learning of Multi-Loss Classification , 2017, IJCAI.
[7] Xiaogang Wang,et al. HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[8] Zhiguo Cao,et al. Good practices on building effective CNN baseline model for person re-identification , 2018, International Conference on Graphic and Image Processing.
[9] M. Saquib Sarfraz,et al. A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[10] Jingdong Wang,et al. Deeply-Learned Part-Aligned Representations for Person Re-identification , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[11] Qi Tian,et al. Beyond Part Models: Person Retrieval with Refined Part Pooling , 2017, ECCV.
[12] Yi Yang,et al. Pedestrian Alignment Network for Large-scale Person Re-Identification , 2017, IEEE Transactions on Circuits and Systems for Video Technology.
[13] Liang Zheng,et al. Re-ranking Person Re-identification with k-Reciprocal Encoding , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Q. Tian,et al. GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval , 2017, ACM Multimedia.
[15] Shaogang Gong,et al. Person Re-identification by Deep Learning Multi-scale Representations , 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).
[16] Barbara Caputo,et al. Looking beyond appearances: Synthetic training data for deep CNNs in re-identification , 2017, Comput. Vis. Image Underst..
[17] Daphne Koller,et al. Self-Paced Learning for Latent Variable Models , 2010, NIPS.
[18] 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).
[19] Tao Xiang,et al. Multi-level Factorisation Net for Person Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[20] Lucas Beyer,et al. In Defense of the Triplet Loss for Person Re-Identification , 2017, ArXiv.
[21] Tao Xiang,et al. Deep Transfer Learning for Person Re-Identification , 2016, 2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM).
[22] Yifan Sun,et al. SVDNet for Pedestrian Retrieval , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[23] Feng Zheng,et al. Fast Vehicle Identification via Ranked Semantic Sampling Based Embedding , 2018 .
[24] Qi Tian,et al. Scalable Person Re-identification: A Benchmark , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[25] Victor S. Lempitsky,et al. Multi-Region bilinear convolutional neural networks for person re-identification , 2015, 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
[26] Junchi Yan,et al. Self-Paced MultiTask Learning , 2017 .
[27] Hantao Yao,et al. Deep Representation Learning With Part Loss for Person Re-Identification , 2017, IEEE Transactions on Image Processing.
[28] Xiong Chen,et al. Learning Discriminative Features with Multiple Granularities for Person Re-Identification , 2018, ACM Multimedia.
[29] Francesco Solera,et al. Performance Measures and a Data Set for Multi-target, Multi-camera Tracking , 2016, ECCV Workshops.
[30] Huchuan Lu,et al. Deep Mutual Learning , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[31] Yi Yang,et al. Person Re-identification: Past, Present and Future , 2016, ArXiv.
[32] Roberto Cipolla,et al. Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[33] Zhao Chen,et al. GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks , 2017, ICML.
[34] Ling Shao,et al. Learning Cross-View Binary Identities for Fast Person Re-Identification , 2016, IJCAI.
[35] Xiaogang Wang,et al. Deep Group-Shuffling Random Walk for Person Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[36] Kaiqi Huang,et al. Adversarially Occluded Samples for Person Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[37] Kaiming He,et al. Focal Loss for Dense Object Detection , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[38] Nicu Sebe,et al. Group Consistent Similarity Learning via Deep CRF for Person Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.