Partial Person Re-identification with Alignment and Hallucination
暂无分享,去创建一个
[1] Hai Tao,et al. Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features , 2008, ECCV.
[2] Varun Ramakrishna,et al. Convolutional Pose Machines , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Xiaogang Wang,et al. Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Yimin Wang,et al. Sparsity-Based Occlusion Handling Method for Person Re-identification , 2015, MMM.
[5] 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).
[6] Longhui Wei,et al. Person Transfer GAN to Bridge Domain Gap for Person Re-identification , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[7] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Ngai-Man Cheung,et al. Efficient and Deep Person Re-identification Using Multi-level Similarity , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[9] 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).
[10] 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.
[11] Gang Wang,et al. Gated Siamese Convolutional Neural Network Architecture for Human Re-identification , 2016, ECCV.
[12] Ling Li,et al. Face hallucination: How much it can improve face recognition , 2013, 2013 Australian Control Conference.
[13] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[14] Xiaogang Wang,et al. DeepReID: Deep Filter Pairing Neural Network for Person Re-identification , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[15] Jing Xu,et al. Attention-Aware Compositional Network for Person Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[16] Yi Yang,et al. Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[17] Qi Tian,et al. Scalable Person Re-identification: A Benchmark , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[18] Yi Yang,et al. Camera Style Adaptation for Person Re-identification , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[19] Bingbing Ni,et al. Pose Transferrable Person Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[20] Alexei A. Efros,et al. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[21] Liang Zheng,et al. Re-ranking Person Re-identification with k-Reciprocal Encoding , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Kaiqi Huang,et al. Adversarially Occluded Samples for Person Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[23] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[24] Shaogang Gong,et al. Harmonious Attention Network for Person Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[25] Moongu Jeon,et al. Occlusion detector using convolutional neural network for person re-identification , 2017, 2017 International Conference on Control, Automation and Information Sciences (ICCAIS).
[26] Q. Tian,et al. GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval , 2017, ACM Multimedia.
[27] Michael Jones,et al. An improved deep learning architecture for person re-identification , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Xiang Li,et al. Partial Person Re-Identification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[29] Michal Lewandowski,et al. Re-identification of pedestrians with variable occlusion and scale , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).
[30] Lin Wu,et al. What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification , 2017, Pattern Recognit..
[31] Jingdong Wang,et al. Deeply-Learned Part-Aligned Representations for Person Re-identification , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[32] Qi Tian,et al. Beyond Part Models: Person Retrieval with Refined Part Pooling , 2017, ECCV.
[33] Shiliang Zhang,et al. Pose-Driven Deep Convolutional Model for Person Re-identification , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).