Xu, Chenfeng

Sparse R-CNN: End-to-End Object Detection with Learnable Proposals

Sun, P., Zhang, R., Jiang, Y., Kong, T., Xu, C., Zhan, W., Tomizuka, M., Li, L., Yuan, Z., Wang, C., et al. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 1,617

Neural Network-Based State of Charge Observer Design for Lithium-Ion Batteries

Chen, J., Ouyang, Q., Xu, C., & Su, H. (2018) · IEEE Transactions on Control Systems Technology

Battery Modeling and ManagementControl Systems and Identification

Cited by 216

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0

O’Neill, A., Rehman, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., Mandlekar, A., Jain, A., et al. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 210

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Embodiment Collaboration, O'Neill, A., Rehman, A., Gupta, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., et al. (2023) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 111

HallE-Control: Controlling Object Hallucination in Large Multimodal Models

Zhai, B., Yang, S., Xu, C., Shen, S., Keutzer, K., Li, C., & Li, M. (2023) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 2

RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning

Chen, L. Y., Xu, C., Dharmarajan, K., Irshad, M. Z., Cheng, R., Keutzer, K., Tomizuka, M., Vuong, Q., & Goldberg, K. (2024) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 1

Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

Wang, Y., Zhang, Y., Huo, M., Tian, R., Zhang, X., Xie, Y., Xu, C., Ji, P., Zhan, W., Ding, M., et al. (2024) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 1

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives

Wang, Q., Ke, J., Tomizuka, M., Chen, Y., Keutzer, K., & Xu, C. (2025) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 0