| TrafficPredict: Trajectory prediction for heterogeneous traffic-agents Y Ma*, X Zhu*, S Zhang, R Yang, W Wang, D Manocha AAAI 2019, 2019 | 341 | 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 …, 2019 | 272 | 2019 |
| 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, 2021 | 182 | 2021 |
| 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 | 169 | 2019 |
| FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection T Wang, X Zhu, J Pang, D Lin International Conference on Computer Vision Workshops (ICCVW), 2021 | 166 | 2021 |
| 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 | 119 | 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 | 102 | 2018 |
| 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 | 91 | 2020 |
| Probabilistic and geometric depth: Detecting objects in perspective T Wang, X Zhu, J Pang, D Lin Conference on Robot Learning (CoRL), 2021 | 89 | 2021 |
| 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 …, 2017 | 88 | 2017 |
| TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers X Bai, Z Hu, X Zhu, Q Huang, Y Chen, H Fu, CL Tai CVPR 2022, 2022 | 79 | 2022 |
| 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 | 71 | 2020 |
| 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 …, 2019 | 62 | 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 | 53 | 2017 |
| 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 | 52 | 2020 |
| LiDAR-based Panoptic Segmentation via Dynamic Shifting Network F Hong, H Zhou, X Zhu, H Li, Z Liu CVPR 2021, 2021 | 44 | 2021 |
| 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 | 40 | 2020 |
| 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 | 39 | 2018 |
| 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 | 35 | 2019 |
| Cylindrical and asymmetrical 3d convolution networks for lidar-based perception X Zhu, H Zhou, T Wang, F Hong, W Li, Y Ma, H Li, R Yang, D Lin IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6807 …, 2021 | 34 | 2021 |
Yuexin MaAssistant Professor, School of Information Science and Technology, ShanghaiTech University在 shanghaitech.edu.cn 的电子邮件经过验证
