Sparse R-CNN: An end-to-end framework for object detection P Sun, R Zhang, Y Jiang, T Kong, C Xu, W Zhan, M Tomizuka, Z Yuan, ... IEEE transactions on pattern analysis and machine intelligence, 2023 | 1093* | 2023 |
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, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 599-609, 2021 | 532* | 2021 |
Squeezesegv3: Spatially-adaptive convolution for efficient point-cloud segmentation C Xu, B Wu, Z Wang, W Zhan, P Vajda, K Keutzer, M Tomizuka Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 408 | 2020 |
Learn to scale: Generating multipolar normalized density maps for crowd counting C Xu, K Qiu, J Fu, S Bai, Y Xu, X Bai Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 141 | 2019 |
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 (Notable-5%), 2023 | 118 | 2023 |
Open x-embodiment: Robotic learning datasets and RT-x models Q Vuong, S Levine, HR Walke, K Pertsch, A Singh, R Doshi, C Xu, J Luo, ... Towards Generalist Robots: Learning Paradigms for Scalable Skill Acquisition …, 2023 | 109* | 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 130 (2), 405-434, 2022 | 96 | 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, ... Proceedings of the European Conference on Computer Vision (ECCV), 2022, 2022 | 77 | 2022 |
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 | 61 | 2023 |
Open-Vocabulary Point-Cloud Object Detection without 3D Annotation Y Lu, C Xu, X Wei, X Xie, M Tomizuka, K Keutzer, S Zhang CVPR 2023, 2023 | 35* | 2023 |
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, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 29 | 2021 |
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, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 25 | 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, M Tomizuka, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 25 | 2023 |
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 | 25 | 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 | 24 | 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 | 22 | 2021 |
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 | 16 | 2022 |
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 | 15* | 2023 |
StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation A Kodaira, C Xu, T Hazama, T Yoshimoto, K Ohno, S Mitsuhori, S Sugano, ... arXiv preprint arXiv:2312.12491, 2023 | 6 | 2023 |
Fanuc manipulation: A dataset for learning-based manipulation with fanuc mate 200iD robot X Zhu, R Tian, C Xu, M Huo, W Zhan, M Tomizuka, M Ding | 6 | 2023 |