| Sparse r-cnn: End-to-end object detection with learnable proposals P Sun, R Zhang, Y Jiang, T Kong, C Xu, W Zhan, M Tomizuka, L Li, ... IEEE/CVF conference on computer vision and pattern recognition (CVPR), 2021 | 1422 | 2021 |
| Visual transformers: Where do transformers really belong in vision models? B Wu, C Xu, X Dai, A Wan, P Zhang, Z Yan, M Tomizuka, JE Gonzalez, ... IEEE/CVF International Conference on Computer Vision (ICCV), 2021 | 684* | 2021 |
| Squeezesegv3: Spatially-adaptive convolution for efficient point-cloud segmentation C Xu, B Wu, Z Wang, W Zhan, P Vajda, K Keutzer, M Tomizuka European Conference on Computer Vision (ECCV), 2020 | 494 | 2020 |
| Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0 A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ... IEEE International Conference on Robotics and Automation (ICRA, Best Paper), 2024 | 441* | 2024 |
| Time will tell: New outlooks and a baseline for temporal multi-view 3d object detection J Park*, C Xu*, S Yang, K Keutzer, K Kitani, M Tomizuka, W Zhan International Conference on Learning Representations (ICLR, Notable-5%), 2023 | 168 | 2023 |
| Learn to scale: Generating multipolar normalized density maps for crowd counting C Xu, K Qiu, J Fu, S Bai, Y Xu, X Bai IEEE/CVF international conference on computer vision (ICCV), 2019 | 159 | 2019 |
| Languagempc: Large language models as decision makers for autonomous driving H Sha, Y Mu, Y Jiang, L Chen, C Xu, P Luo, SE Li, M Tomizuka, W Zhan, ... arXiv preprint arXiv:2310.03026, 2023 | 140 | 2023 |
| Autoscale: Learning to scale for crowd counting C Xu, D Liang, Y Xu, S Bai, W Zhan, X Bai, M Tomizuka International Journal of Computer Vision (IJCV), 2022 | 121 | 2022 |
| Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models C Xu, S Yang, T Galanti, B Wu, X Yue, B Zhai, W Zhan, P Vajda, K Keutzer, ... European Conference on Computer Vision (ECCV), 2022 | 86 | 2022 |
| Open-Vocabulary Point-Cloud Object Detection without 3D Annotation Y Lu*, C Xu*, X Wei, X Xie, M Tomizuka, K Keutzer, S Zhang IEEE/CVF conference on computer vision and pattern recognition (CVPR), 2023 | 60* | 2023 |
| Sparsefusion: Fusing multi-modal sparse representations for multi-sensor 3d object detection Y Xie*, C Xu*, MJ Rakotosaona, P Rim, F Tombari, K Keutzer, ... IEEE/CVF International Conference on Computer Vision (ICCV), 2023 | 57 | 2023 |
| HallE-Switch: Controlling Object Hallucination in Large Vision Language Models B Zhai, S Yang, C Xu, S Shen, K Keutzer, M Li arXiv e-prints, arXiv: 2310.01779, 2023 | 47* | 2023 |
| Nerf-det: Learning geometry-aware volumetric representation for multi-view 3d object detection C Xu, B Wu, J Hou, S Tsai, R Li, J Wang, W Zhan, Z He, P Vajda, ... IEEE/CVF International Conference on Computer Vision (ICCV), 2023 | 47 | 2023 |
| PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map C Xu, T Li, C Tang, L Sun, K Keutzer, M Tomizuka, A Fathi, W Zhan Proceedings of the European Conference on Computer Vision (ECCV), 2022, 2022 | 36 | 2022 |
| VisDrone-CC2021: the vision meets drone crowd counting challenge results Z Liu, Z He, L Wang, W Wang, Y Yuan, D Zhang, J Zhang, P Zhu, ... IEEE/CVF International Conference on Computer Vision (ICCV), 2021 | 35 | 2021 |
| DetMatch: Two Teachers are Better Than One for Joint 2D and 3D Semi-Supervised Object Detection J Park, C Xu, Y Zhou, M Tomizuka, W Zhan Proceedings of the European Conference on Computer Vision (ECCV), 2022, 2022 | 33 | 2022 |
| A Simple and Efficient Multi-task Network for 3D Object Detection and Road Understanding D Feng, Y Zhou, C Xu, M Tomizuka, W Zhan IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 | 29 | 2021 |
| You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module C Xu, B Zhai, B Wu, T Li, W Zhan, P Vajda, K Keutzer, M Tomizuka IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2021 | 28 | 2021 |
| Streamdiffusion: A pipeline-level solution for real-time interactive generation C Xu*, A Kodaira*, T Hazama*, T Yoshimoto, K Ohno, S Mitsuhori, ... arXiv preprint arXiv:2312.12491, 2023 | 26 | 2023 |
| Human-oriented representation learning for robotic manipulation M Huo, M Ding, C Xu, T Tian, X Zhu, Y Mu, L Sun, M Tomizuka, W Zhan Robotics: Science and Systems (RSS), 2024 | 16* | 2024 |
Masayoshi TomizukaMechaniccal Engineering, University of CaliforniaVerified email at me.berkeley.edu
