Re-Identification With Consistent Attentive Siamese Networks
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Ziyan Wu | Meng Zheng | Richard J. Radke | Srikrishna Karanam | R. Radke | Ziyan Wu | S. Karanam | Meng Zheng
[1] Shiliang Zhang,et al. Pose-Driven Deep Convolutional Model for Person Re-identification , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[2] Ivan Laptev,et al. Is object localization for free? - Weakly-supervised learning with convolutional neural networks , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Xiaogang Wang,et al. Person Re-identification with Deep Similarity-Guided Graph Neural Network , 2018, ECCV.
[4] Xiaogang Wang,et al. Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Abhishek Das,et al. Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[6] 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).
[7] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Xiong Chen,et al. Learning Discriminative Features with Multiple Granularities for Person Re-Identification , 2018, ACM Multimedia.
[9] Dan Klein,et al. Neural Module Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Francesco Solera,et al. Performance Measures and a Data Set for Multi-target, Multi-camera Tracking , 2016, ECCV Workshops.
[11] Tao Xiang,et al. Multi-level Factorisation Net for Person Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[12] Kaiqi Huang,et al. Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Kaiqi Huang,et al. Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Xiaogang Wang,et al. Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association , 2018, ECCV.
[16] 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.
[17] Shaogang Gong,et al. Harmonious Attention Network for Person Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[18] 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.
[19] Yan Wang,et al. Resource Aware Person Re-identification Across Multiple Resolutions , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[20] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[21] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[22] Shengcai Liao,et al. Person re-identification by Local Maximal Occurrence representation and metric learning , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Cordelia Schmid,et al. Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Forrest N. Iandola,et al. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size , 2016, ArXiv.
[25] Shaogang Gong,et al. Person Re-identification by Deep Learning Multi-scale Representations , 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).
[26] Xiaogang Wang,et al. Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[27] Andrea Vedaldi,et al. Learning Covariant Feature Detectors , 2016, ECCV Workshops.
[28] Liang Wang,et al. Mask-Guided Contrastive Attention Model for Person Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[29] Shuicheng Yan,et al. End-to-End Comparative Attention Networks for Person Re-Identification , 2016, IEEE Transactions on Image Processing.
[30] Yi Yang,et al. Person Re-identification: Past, Present and Future , 2016, ArXiv.
[31] Ziyan Wu,et al. A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[32] Tao Mei,et al. Part-Aligned Bilinear Representations for Person Re-identification , 2018, ECCV.
[33] Bolei Zhou,et al. Learning Deep Features for Discriminative Localization , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Xiaogang Wang,et al. HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[35] Yi Yang,et al. Pedestrian Alignment Network for Large-scale Person Re-Identification , 2017, IEEE Transactions on Circuits and Systems for Video Technology.
[36] Liang Zheng,et al. Re-ranking Person Re-identification with k-Reciprocal Encoding , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Yun Fu,et al. Tell Me Where to Look: Guided Attention Inference Network , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[38] Yifan Sun,et al. SVDNet for Pedestrian Retrieval , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[39] Andrew Zisserman,et al. Spatial Transformer Networks , 2015, NIPS.
[40] Qi Tian,et al. Scalable Person Re-identification: A Benchmark , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[41] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[42] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[43] Jingdong Wang,et al. Deeply-Learned Part-Aligned Representations for Person Re-identification , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[44] Qi Tian,et al. Beyond Part Models: Person Retrieval with Refined Part Pooling , 2017, ECCV.
[45] Nanning Zheng,et al. Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[46] Xiaogang Wang,et al. DeepReID: Deep Filter Pairing Neural Network for Person Re-identification , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[47] Jing Xu,et al. Attention-Aware Compositional Network for Person Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[48] Lin Wu,et al. Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification , 2018, IEEE Transactions on Multimedia.