| 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 | 658 | 2022 |
| 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 | 157 | 2021 |
| Bevheight: A robust framework for vision-based roadside 3d object detection L Yang, K Yu, T Tang, J Li, K Yuan, L Wang, X Zhang, P Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 153 | 2023 |
| A new dataset, Poisson GAN and AquaNet for underwater object grabbing C Liu, Z Wang, S Wang, T Tang, Y Tao, C Yang, H Li, X Liu, X Fan IEEE Transactions on Circuits and Systems for Video Technology 32 (5), 2831-2844, 2021 | 104 | 2021 |
| 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 | 91 | 2023 |
| Lidar-nerf: Novel lidar view synthesis via neural radiance fields T Tao, L Gao, G Wang, Y Lao, P Chen, H Zhao, D Hao, X Liang, ... Proceedings of the 32nd ACM International Conference on Multimedia, 390-398, 2024 | 63 | 2024 |
| Bevheight++: Toward robust visual centric 3d object detection L Yang, T Tang, J Li, K Yuan, K Wu, P Chen, L Wang, Y Huang, L Li, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025 | 50 | 2025 |
| Unleashing generalization of end-to-end autonomous driving with controllable long video generation E Ma, L Zhou, T Tang, Z Zhang, D Han, J Jiang, K Zhan, P Jia, X Lang, ... arXiv preprint arXiv:2406.01349, 2024 | 44 | 2024 |
| Making large language models better planners with reasoning-decision alignment Z Huang, T Tang, S Chen, S Lin, Z Jie, L Ma, G Wang, X Liang European Conference on Computer Vision, 73-90, 2024 | 43 | 2024 |
| Bev-tsr: Text-scene retrieval in bev space for autonomous driving T Tang, D Wei, Z Jia, T Gao, C Cai, C Hou, P Jia, K Zhan, H Sun, ... Proceedings of the AAAI Conference on Artificial Intelligence 39 (7), 7275-7283, 2025 | 30* | 2025 |
| OpenSight: A simple open-vocabulary framework for LiDAR-based object detection H Zhang, J Xu, T Tang, H Sun, X Yu, Z Huang, K Yu European Conference on Computer Vision, 1-19, 2024 | 28 | 2024 |
| Mlp can be a good transformer learner S Lin, P Lyu, D Liu, T Tang, X Liang, A Song, X Chang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 26 | 2024 |
| Alignmif: Geometry-aligned multimodal implicit field for lidar-camera joint synthesis T Tao, G Wang, Y Lao, P Chen, J Liu, L Lin, K Yu, X Liang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 24 | 2024 |
| Lidar-gs: Real-time lidar re-simulation using gaussian splatting Q Chen, S Yang, S Du, T Tang, R Xie, P Chen, Y Huo arXiv preprint arXiv:2410.05111, 2024 | 13 | 2024 |
| S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking T Tang, L Zhou, P Hao, Z He, K Ho, S Gu, Z Hao, H Sun, K Zhan, P Jia, ... arXiv preprint arXiv:2406.02147, 2024 | 11* | 2024 |
| Unigs: Unified language-image-3d pretraining with gaussian splatting H Li, Y Zhou, T Tang, J Song, Y Zeng, M Kampffmeyer, H Xu, X Liang arXiv preprint arXiv:2502.17860, 2025 | 5 | 2025 |
| BossNAS family: Block-wisely self-supervised neural architecture search C Li, S Lin, T Tang, G Wang, M Li, X Liang, X Chang IEEE Transactions on Pattern Analysis and Machine Intelligence 47 (5), 3500-3514, 2025 | 3 | 2025 |
| Robopearls: Editable video simulation for robot manipulation T Tao, L Zhang, Y Wen, K Zhang, JW Bian, X Zhou, T Yan, K Zhan, P Jia, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2025 | 3 | 2025 |
| Does Your 3D Encoder Really Work? When Pretrain-SFT from 2D VLMs Meets 3D VLMs H Li, Y Zhou, Y Gao, T Tang, J Han, Y Yuan, DZ Chen, J Bian, H Xu, ... arXiv preprint arXiv:2506.05318, 2025 | 2 | 2025 |
| AD-R1: Closed-loop reinforcement learning for end-to-end autonomous driving with impartial world models T Yan, T Tang, X Gui, Y Li, J Zhesng, W Huang, L Kong, W Han, X Zhou, ... arXiv preprint arXiv:2511.20325, 2025 | 1 | 2025 |
Kaicheng YuAssistant Professor, Westlake University, PI of Autonomous Intelligence LabVerified email at westlake.edu.cn
