| Convolutional recurrent neural networks: Learning spatial dependencies for image representation Z Zuo, B Shuai, G Wang, X Liu, X Wang, B Wang, Y Chen Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 208 | 2015 |
| Bevfusion: A simple and robust lidar-camera fusion framework T Liang, H Xie, K Yu, Z Xia, Z Lin, Y Wang, T Tang, B Wang, Z Tang Advances in Neural Information Processing Systems 35, 10421-10434, 2022 | 202 | 2022 |
| Dag-recurrent neural networks for scene labeling B Shuai, Z Zuo, B Wang, G Wang Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 192 | 2016 |
| Joint learning of convolutional neural networks and temporally constrained metrics for tracklet association B Wang, L Wang, B Shuai, Z Zuo, T Liu, K Luk Chan, G Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 141 | 2016 |
| Scene segmentation with dag-recurrent neural networks B Shuai, Z Zuo, B Wang, G Wang IEEE transactions on pattern analysis and machine intelligence 40 (6), 1480-1493, 2017 | 137 | 2017 |
| Dynamic slimmable network C Li, G Wang, B Wang, X Liang, Z Li, X Chang Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2021 | 133 | 2021 |
| Tracklet association with online target-specific metric learning B Wang, G Wang, K Luk Chan, L Wang Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 123 | 2014 |
| Learning contextual dependence with convolutional hierarchical recurrent neural networks Z Zuo, B Shuai, G Wang, X Liu, X Wang, B Wang, Y Chen IEEE Transactions on Image Processing 25 (7), 2983-2996, 2016 | 118 | 2016 |
| Bossnas: Exploring hybrid cnn-transformers with block-wisely self-supervised neural architecture search C Li, T Tang, G Wang, J Peng, B Wang, X Liang, X Chang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 107 | 2021 |
| Tracklet association by online target-specific metric learning and coherent dynamics estimation B Wang, G Wang, KL Chan, L Wang IEEE transactions on pattern analysis and machine intelligence 39 (3), 589-602, 2016 | 91 | 2016 |
| Exploring inter-channel correlation for diversity-preserved knowledge distillation L Liu, Q Huang, S Lin, H Xie, B Wang, X Chang, X Liang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 83 | 2021 |
| Integrating parametric and non-parametric models for scene labeling B Shuai, G Wang, Z Zuo, B Wang, L Zhao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 52 | 2015 |
| Benchmarking the robustness of lidar-camera fusion for 3d object detection K Yu, T Tao, H Xie, Z Lin, T Liang, B Wang, P Chen, D Hao, Y Wang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 32 | 2023 |
| Scene Parsing with Integration of Parametric and Non-parametric Models B Shuai, Z Zuo, G Wang, B Wang IEEE Transactions on Image Processing, 2016 | 21 | 2016 |
| Accelerating pore nucleation and eutectic Si growth kinetics by increasing Cu and Sc for Al-Si-Mg alloys: In-situ observation M Zhang, K Liu, B Wang, T Liang, J Han, J Wang Journal of Alloys and Compounds 869, 159173, 2021 | 20 | 2021 |
| Pedestrian detection in highly crowded scenes using “online” dictionary learning for occlusion handling B Wang, KL Chan, G Wang, H Zhang 2014 IEEE International Conference on Image Processing (ICIP), 2418-2422, 2014 | 5 | 2014 |
| Learning hierarchical features for visual object tracking with recursive neural networks L Wang, T Liu, B Wang, J Lin, X Yang, G Wang 2019 IEEE International Conference on Image Processing (ICIP), 3088-3092, 2019 | 4 | 2019 |
| Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association B Wang, L Wang, B Shuai, Z Zuo, T Liu, KL Chan, G Wang arXiv preprint arXiv:1605.04502, 2016 | 4 | 2016 |
| Tracklet Association in Detect-then-track Paradigm for Long-term Multi-Person Tracking B Wang, G Wang, K Luk Chan, L Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | | 2014 |
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