Mixed High-Order Attention Network for Person Re-Identification B Chen, W Deng, J Hu Proceedings of the IEEE International Conference on Computer Vision, 2019 | 443 | 2019 |
Noisy softmax: Improving the generalization ability of dcnn via postponing the early softmax saturation B Chen, W Deng, J Du Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 158 | 2017 |
Signal-to-noise ratio: A robust distance metric for deep metric learning T Yuan, W Deng, J Tang, Y Tang, B Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 89 | 2019 |
Fine-grained face verification: FGLFW database, baselines, and human-DCMN partnership W Deng, J Hu, N Zhang, B Chen, J Guo Pattern Recognition 66, 63-73, 2017 | 87 | 2017 |
Hybrid-attention based decoupled metric learning for zero-shot image retrieval B Chen, W Deng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 73 | 2019 |
Virtual class enhanced discriminative embedding learning B Chen, W Deng, H Shen Advances in Neural Information Processing Systems, 2018 | 54 | 2018 |
Dense learning based semi-supervised object detection B Chen, P Li, X Chen, B Wang, L Zhang, XS Hua Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 51 | 2022 |
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting B Chen, Z Yan, K Li, P Li, B Wang, W Zuo, L Zhang Proceedings of the IEEE International Conference on Computer Vision, 2021 | 46 | 2021 |
Learning better features for face detection with feature fusion and segmentation supervision W Tian, Z Wang, H Shen, W Deng, Y Meng, B Chen, X Zhang, Y Zhao, ... arXiv preprint arXiv:1811.08557, 2018 | 43 | 2018 |
Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering B Chen, W Deng The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019 | 32 | 2019 |
Virface: Enhancing face recognition via unlabeled shallow data W Li, T Guo, P Li, B Chen, B Wang, W Zuo, L Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 21 | 2021 |
Deep correlation feature learning for face verification in the wild W Deng, B Chen, Y Fang, J Hu IEEE Signal Processing Letters 24 (12), 1877-1881, 2017 | 20 | 2017 |
Prnet++: Learning towards generalized occluded pedestrian detection via progressive refinement network X Song, B Chen, P Li, B Wang, H Zhang Neurocomputing 482, 98-115, 2022 | 18 | 2022 |
Deep embedding learning with adaptive large margin N-pair loss for image retrieval and clustering B Chen, W Deng Pattern Recognition 93, 353-364, 2019 | 17 | 2019 |
Damo-streamnet: Optimizing streaming perception in autonomous driving JY He, ZQ Cheng, C Li, W Xiang, B Chen, B Luo, Y Geng, X Xie arXiv preprint arXiv:2303.17144, 2023 | 10 | 2023 |
Optimal proposal learning for deployable end-to-end pedestrian detection X Song, B Chen, P Li, JY He, B Wang, Y Geng, X Xie, H Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
Weakly-supervised deep self-learning for face recognition B Chen, W Deng 2016 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2016 | 8 | 2016 |
Deep Metric Learning with Graph Consistency B Chen, P Li, Z Yan, B Wang, L Zhang AAAI2021, 2021 | 7 | 2021 |
Confusion-based metric learning for regularizing zero-shot image retrieval and clustering B Chen, W Deng, B Wang, L Zhang IEEE Transactions on Neural Networks and Learning Systems 35 (2), 1884-1897, 2022 | 5 | 2022 |
Almn: Deep embedding learning with geometrical virtual point generating B Chen, W Deng arXiv preprint arXiv:1806.00974, 2018 | 5 | 2018 |