| Iou loss for 2d/3d object detection D Zhou, J Fang, X Song, C Guan, J Yin, Y Dai, R Yang 2019 international conference on 3D vision (3DV), 85-94, 2019 | 457 | 2019 |
| Lidar-based online 3d video object detection with graph-based message passing and spatiotemporal transformer attention J Yin, J Shen, C Guan, D Zhou, R Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 168 | 2020 |
| Fusionpainting: Multimodal fusion with adaptive attention for 3d object detection S Xu, D Zhou, J Fang, J Yin, Z Bin, L Zhang 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 165 | 2021 |
| A unified object motion and affinity model for online multi-object tracking J Yin, W Wang, Q Meng, R Yang, J Shen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 128 | 2020 |
| Joint 3d instance segmentation and object detection for autonomous driving D Zhou, J Fang, X Song, L Liu, J Yin, Y Dai, H Li, R Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 125 | 2020 |
| ProposalContrast: Unsupervised Pre-training for LiDAR-based 3D Object Detection J Yin, D Zhou, L Zhang, J Fang, CZ Xu, J Shen, W Wang European Conference on Computer Vision, 2022 | 110 | 2022 |
| Semi-supervised 3D Object Detection with Proficient Teachers J Yin, J Fang, D Zhou, L Zhang, CZ Xu, J Shen, W Wang European Conference on Computer Vision, 2022 | 78 | 2022 |
| Graph neural network and spatiotemporal transformer attention for 3D video object detection from point clouds J Yin, J Shen, X Gao, DJ Crandall, R Yang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (8), 9822-9835, 2021 | 72 | 2021 |
| SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud Y Wang*, J Yin*, W Li, P Frossard, R Yang, J Shen Proceedings of the AAAI Conference on Artificial Intelligence, 2022 | 34 | 2022 |
| Adaptive nonlocal random walks for image superpixel segmentation H Wang, J Shen, J Yin, X Dong, H Sun, L Shao IEEE Transactions on Circuits and Systems for Video Technology 30 (3), 822-834, 2019 | 26 | 2019 |
| BRNet: Exploring Comprehensive Features for Monocular Depth Estimation W Han, J Yin, X Jin, X Dai, J Shen European Conference on Computer Vision, 0 | 20* | |
| Multiple people tracking with articulation detection and stitching strategy Y Liu, J Yin, D Yu, S Zhao, J Shen Neurocomputing 386, 18-29, 2020 | 18 | 2020 |
| Iafa: Instance-aware feature aggregation for 3d object detection from a single image D Zhou, X Song, Y Dai, J Yin, F Lu, M Liao, J Fang, L Zhang Proceedings of the Asian Conference on Computer Vision, 2020 | 17 | 2020 |
| Self-Supervised Monocular Depth Estimation by Direction-aware Cumulative Convolution Network W Han, J Yin, J Shen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 16 | 2023 |
| IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection J Yin, J Shen, R Chen, W Li, R Yang, P Frossard, W Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 12 | 2024 |
| DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection X Li*, J Yin*, W Li, CZ Xu, R Yang, J Shen Proceedings of the AAAI Conference on Artificial Intelligence, 2023 | 12 | 2023 |
| LWSIS: LiDAR-guided Weakly Supervised Instance Segmentation for Autonomous Driving X Li*, J Yin*, B Shi, Y Li, R Yang, J Shen Proceedings of the AAAI Conference on Artificial Intelligence, 2022 | 11 | 2022 |
| Language-guided 3d object detection in point cloud for autonomous driving W Cheng, J Yin, W Li, R Yang, J Shen arXiv preprint arXiv:2305.15765, 2023 | 8 | 2023 |
| RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception C Li, W Han, J Yin, S Zhao, J Shen European Conference on Computer Vision, 2024 | | 2024 |
| Supplementary Material for RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception C Li, W Han, J Yin, S Zhao, J Shen | | |
Jianbing ShenProfessor, University of Macau在 um.edu.mo 的电子邮件经过验证
