| TrafficPredict: Trajectory prediction for heterogeneous traffic-agents Y Ma*, X Zhu*, S Zhang, R Yang, W Wang, D Manocha AAAI 2019, 2019 | 161 | 2019 |
| Adapting object detectors via selective cross-domain alignment X Zhu, J Pang, C Yang, J Shi, D Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern ¡K, 2019 | 104 | 2019 |
| Pose Guided Human Video Generation C Yang, Z Wang, X Zhu, C Huang, J Shi, D Lin European Conference on Computer Vision (ECCV) 2018, 2018 | 69 | 2018 |
| Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation X Zhu, H Zhou, C Yang, J Shi, D Lin European Conference on Computer Vision (ECCV) 2018, 2018 | 66 | 2018 |
| Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition X Zhu, L Li, W Zhang, T Rao, M Xu, Q Huang, D Xu Proceedings of the Internal Joint Conference on Artificial Intelligence ¡K, 2017 | 49 | 2017 |
| Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints Y Xu, X Zhu, J Shi, G Zhang, H Bao, H Li ICCV 2019, 2019 | 47 | 2019 |
| Image to video person re-identification by learning heterogeneous dictionary pair with feature projection matrix X Zhu, XY Jing, X You, W Zuo, S Shan, WS Zheng IEEE Transactions on Information Forensics and Security 13 (3), 717-732, 2017 | 43 | 2017 |
| Not all areas are equal: Transfer learning for semantic segmentation via hierarchical region selection R Sun*, X Zhu*, C Wu, C Huang, J Shi, L Ma Proceedings of the IEEE Conference on Computer Vision and Pattern ¡K, 2019 | 36 | 2019 |
| Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation H Zhou*, X Zhu*, X Song, Y Ma, Z Wang, H Li, D Lin arXiv preprint arXiv:2008.01550, 2020 | 21 | 2020 |
| Distance learning by mining hard and easy negative samples for person re-identification X Zhu, XY Jing, F Zhang, X Zhang, X You, X Cui Pattern Recognition 95, 211-222, 2019 | 19 | 2019 |
| Generative Adversarial Frontal View to Bird View Synthesis X Zhu, Z Yin, J Shi, H Li, D Lin 2018 International Conference on 3D Vision (3DV), 454-463, 2018 | 17 | 2018 |
| Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation X Zhu, H Zhou, T Wang, F Hong, Y Ma, W Li, H Li, D Lin CVPR 2021, 2020 | 16 | 2020 |
| SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds X Zhu, Y Ma, T Wang, Y Xu, J Shi, D Lin European Conference on Computer Vision (ECCV) 2020, 2020 | 13 | 2020 |
| AdaStereo: a simple and efficient approach for adaptive stereo matching X Song, G Yang, X Zhu, H Zhou, Z Wang, J Shi CVPR 2021, 2020 | 8 | 2020 |
| Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds T Wang, X Zhu, D Lin CoRL 2020, 2020 | 8 | 2020 |
| Tensor Low-Rank Reconstruction for Semantic Segmentation W Chen, X Zhu, R Sun, J He, R Li, X Shen, B Yu European Conference on Computer Vision (ECCV) 2020, 2020 | 7 | 2020 |
| A hierarchical CNN-RNN approach for visual emotion classification L Li, X Zhu, Y Hao, S Wang, X Gao, Q Huang ACM Transactions on Multimedia Computing, Communications, and Applications ¡K, 2019 | 7 | 2019 |
| Adversarial attacks on monocular depth estimation Z Zhang, X Zhu, Y Li, X Chen, Y Guo arXiv preprint arXiv:2003.10315, 2020 | 6 | 2020 |
| AutoTrajectory: Label-free Trajectory Extraction and Prediction from Videos using Dynamic Points Y Ma*, X Zhu*, X Cheng, R Yang, J Liu, D Manocha European Conference on Computer Vision (ECCV) 2020, 2020 | 3 | 2020 |
| High Performance Gesture Recognition via Effective and Efficient Temporal Modeling Y Yi, F Ni, Y Ma, X Zhu, Y Qi, R Qiu, S Zhao, F Li, Y Wang IJCAI 2019, 2019 | 3 | 2019 |
Jianping ShiSenseTime Group LimitedVerified email at sensetime.com
