暂无分享,去创建一个
Ran He | Chenglong Li | Jin Tang | Aihua Zheng | Xianmin Lin | A. Hussain | R. He | A. Zheng | Chenglong Li | Bin Luo | Hongchao Li | Xianmin Lin
[1] Xiao Wang,et al. Pedestrian Attribute Recognition: A Survey , 2019, Pattern Recognit..
[2] Shao-Yi Chien,et al. Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network , 2020, ECCV.
[3] Wei Jiang,et al. Stripe-based and attribute-aware network: a two-branch deep model for vehicle re-identification , 2019, ArXiv.
[4] Shuo Wang,et al. PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[5] Ling-Yu Duan,et al. VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Bing He,et al. Part-Regularized Near-Duplicate Vehicle Re-Identification , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Rama Chellappa,et al. A Dual-Path Model With Adaptive Attention for Vehicle Re-Identification , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[8] Yongjian Hu,et al. Variational Representation Learning for Vehicle Re-Identification , 2019, 2019 IEEE International Conference on Image Processing (ICIP).
[9] Jenq-Neng Hwang,et al. CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Ling-Yu Duan,et al. Embedding Adversarial Learning for Vehicle Re-Identification , 2019, IEEE Transactions on Image Processing.
[11] Liang Zheng,et al. Improving Person Re-identification by Attribute and Identity Learning , 2017, Pattern Recognit..
[12] Huchuan Lu,et al. Pose-Invariant Embedding for Deep Person Re-Identification , 2017, IEEE Transactions on Image Processing.
[13] Jenq-Neng Hwang,et al. Multi-Camera Tracking of Vehicles based on Deep Features Re-ID and Trajectory-Based Camera Link Models , 2019, CVPR Workshops.
[14] Qiang Liu,et al. Neural Image Caption Generation with Weighted Training and Reference , 2018, Cognitive Computation.
[15] Cheng Deng,et al. Deep View-Aware Metric Learning for Person Re-Identification , 2018, IJCAI.
[16] Bingbing Ni,et al. Pose Transferrable Person Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[17] Wei-Shi Zheng,et al. Fast Open-World Person Re-Identification , 2018, IEEE Transactions on Image Processing.
[18] Shiliang Zhang,et al. Multi-type attributes driven multi-camera person re-identification , 2018, Pattern Recognit..
[19] Tao Mei,et al. PROVID: Progressive and Multimodal Vehicle Reidentification for Large-Scale Urban Surveillance , 2018, IEEE Transactions on Multimedia.
[20] Hanqing Lu,et al. Learning Coarse-to-Fine Structured Feature Embedding for Vehicle Re-Identification , 2018, AAAI.
[21] Tao Xiang,et al. Pose-Normalized Image Generation for Person Re-identification , 2017, ECCV.
[22] Jian-Huang Lai,et al. Adversarial Attribute-Image Person Re-identification , 2017, IJCAI.
[23] 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.
[24] Yi Yang,et al. Camera Style Adaptation for Person Re-identification , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[25] 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.
[26] Yi Li,et al. Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification , 2017, AAAI.
[27] Jian-Huang Lai,et al. Person Re-Identification by Camera Correlation Aware Feature Augmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Yi Yang,et al. A Discriminatively Learned CNN Embedding for Person Reidentification , 2016, ACM Trans. Multim. Comput. Commun. Appl..
[29] Zhidong Deng,et al. Segmentation of Drivable Road Using Deep Fully Convolutional Residual Network with Pyramid Pooling , 2018, Cognitive Computation.
[30] Xiaogang Wang,et al. Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[31] Shiliang Zhang,et al. Pose-Driven Deep Convolutional Model for Person Re-identification , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[32] Hongfei Yan,et al. Deep joint discriminative learning for vehicle re-identification and retrieval , 2017, 2017 IEEE International Conference on Image Processing (ICIP).
[33] Xiaogang Wang,et al. Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-Temporal Path Proposals , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[34] Jingdong Wang,et al. Deeply-Learned Part-Aligned Representations for Person Re-identification , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[35] Dong Liu,et al. Improving triplet-wise training of convolutional neural network for vehicle re-identification , 2017, 2017 IEEE International Conference on Multimedia and Expo (ICME).
[36] 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).
[37] Liang Zheng,et al. Unsupervised Person Re-identification: Clustering and Fine-tuning , 2017 .
[38] Bo Chen,et al. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications , 2017, ArXiv.
[39] Ran He,et al. Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[40] Jian-Huang Lai,et al. Robust Depth-Based Person Re-Identification , 2017, IEEE Transactions on Image Processing.
[41] Xiaogang Wang,et al. Person Search with Natural Language Description , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[42] 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).
[43] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[44] Sergey Ioffe,et al. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning , 2016, AAAI.
[45] Ling Shao,et al. Cross-View GAN Based Vehicle Generation for Re-identification , 2017, BMVC.
[46] Tao Mei,et al. A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance , 2016, ECCV.
[47] Wu Liu,et al. Large-scale vehicle re-identification in urban surveillance videos , 2016, 2016 IEEE International Conference on Multimedia and Expo (ICME).
[48] Shiliang Zhang,et al. Deep Attributes Driven Multi-Camera Person Re-identification , 2016, ECCV.
[49] Bolei Zhou,et al. Learning Deep Features for Discriminative Localization , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[50] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[51] Qi Tian,et al. Scalable Person Re-identification: A Benchmark , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[52] Larry S. Davis,et al. Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[53] Michael Jones,et al. An improved deep learning architecture for person re-identification , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[54] Xiaoou Tang,et al. A large-scale car dataset for fine-grained categorization and verification , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[55] Yang Li,et al. Viewpoint Invariant Human Re-Identification in Camera Networks Using Pose Priors and Subject-Discriminative Features , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[56] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[57] 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).
[58] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[59] Larry S. Davis,et al. Joint Learning for Attribute-Consistent Person Re-Identification , 2014, ECCV Workshops.
[60] Xiaogang Wang,et al. DeepReID: Deep Filter Pairing Neural Network for Person Re-identification , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[61] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[62] Shaogang Gong,et al. Person Re-identification by Attributes , 2012, BMVC.
[63] Gérard G. Medioni,et al. 3-D model based vehicle recognition , 2009, 2009 Workshop on Applications of Computer Vision (WACV).