| 3d recurrent neural networks with context fusion for point cloud semantic segmentation X Ye, J Li, H Huang, L Du, X Zhang Proceedings of the European conference on computer vision (ECCV), 403-417, 2018 | 263 | 2018 |
| Ssf-dan: Separated semantic feature based domain adaptation network for semantic segmentation L Du, J Tan, H Yang, J Feng, X Xue, Q Zheng, X Ye, X Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision, 982-991, 2019 | 141 | 2019 |
| Depth-conditioned dynamic message propagation for monocular 3d object detection L Wang, L Du, X Ye, Y Fu, G Guo, X Xue, J Feng, L Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 69 | 2021 |
| Associate-3Ddet: Perceptual-to-conceptual association for 3D point cloud object detection L Du, X Ye, X Tan, J Feng, Z Xu, E Ding, S Wen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 63 | 2020 |
| Zoomnet: Part-aware adaptive zooming neural network for 3d object detection Z Xu, W Zhang, X Ye, X Tan, W Yang, S Wen, E Ding, A Meng, L Huang Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12557 …, 2020 | 56 | 2020 |
| Efficient stereo matching leveraging deep local and context information X Ye, J Li, H Wang, H Huang, X Zhang IEEE Access 5, 18745-18755, 2017 | 46 | 2017 |
| Multi-camera vehicle tracking and re-identification based on visual and spatial-temporal features. X Tan, Z Wang, M Jiang, X Yang, J Wang, Y Gao, X Su, X Ye, Y Yuan, ... CVPR Workshops, 275-284, 2019 | 38 | 2019 |
| Monocular 3d object detection via feature domain adaptation X Ye, L Du, Y Shi, Y Li, X Tan, J Feng, E Ding, S Wen Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 35 | 2020 |
| The devil is in the task: Exploiting reciprocal appearance-localization features for monocular 3d object detection Z Zou, X Ye, L Du, X Cheng, X Tan, L Zhang, J Feng, X Xue, E Ding Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 28 | 2021 |
| Robust movement-specific vehicle counting at crowded intersections Z Liu, W Zhang, X Gao, H Meng, X Tan, X Zhu, Z Xue, X Ye, H Zhang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 27 | 2020 |
| Rope3D: the roadside perception dataset for autonomous driving and monocular 3D object detection task X Ye, M Shu, H Li, Y Shi, Y Li, G Wang, X Tan, E Ding Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 20 | 2022 |
| Multi-dimensional residual dense attention network for stereo matching G Zhang, D Zhu, W Shi, X Ye, J Li, X Zhang IEEE Access 7, 51681-51690, 2019 | 16 | 2019 |
| Coarse to fine: Domain adaptive crowd counting via adversarial scoring network Z Zou, X Qu, P Zhou, S Xu, X Ye, W Wu, J Ye Proceedings of the 29th ACM International Conference on Multimedia, 2185-2194, 2021 | 15 | 2021 |
| Ago-net: Association-guided 3d point cloud object detection network L Du, X Ye, X Tan, E Johns, B Chen, E Ding, X Xue, J Feng IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 8097 …, 2021 | 15 | 2021 |
| Object reidentification via joint quadruple decorrelation directional deep networks in smart transportation J Zhu, J Huang, H Zeng, X Ye, B Li, Z Lei, L Zheng IEEE Internet of Things Journal 7 (4), 2944-2954, 2020 | 15 | 2020 |
| Revealing the reciprocal relations between self-supervised stereo and monocular depth estimation Z Chen, X Ye, W Yang, Z Xu, X Tan, Z Zou, E Ding, X Zhang, L Huang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 13 | 2021 |
| Order-based disparity refinement including occlusion handling for stereo matching X Ye, Y Gu, L Chen, J Li, H Wang, X Zhang IEEE Signal processing letters 24 (10), 1483-1487, 2017 | 13 | 2017 |
| Leaping from 2D detection to efficient 6DoF object pose estimation J Liu, Z Zou, X Ye, X Tan, E Ding, F Xu, X Yu Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 12 | 2020 |
| Gitnet: Geometric prior-based transformation for birds-eye-view segmentation S Gong, X Ye, X Tan, J Wang, E Ding, Y Zhou, X Bai Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 10 | 2022 |
| Twist: Two-way inter-label self-training for semi-supervised 3d instance segmentation R Chu, X Ye, Z Liu, X Tan, X Qi, CW Fu, J Jia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 10 | 2022 |
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