Liu, Fangchen

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

Yu, F., Chen, H., Wang, X., Xian, W., Chen, Y., Liu, F., Madhavan, V., & Darrell, T. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,641

SAPIEN: A SimulAted Part-Based Interactive ENvironment

Xiang, F., Qin, Y., Mo, K., Xia, Y., Zhu, H., Liu, F., Liu, M., Jiang, H., Yuan, Y., Wang, H., et al. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 406

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

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

Yu, F., Chen, H., Wang, X., Xian, W., Chen, Y., Liu, F., Madhavan, V., & Darrell, T. (2018) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 204

The Wisdom of Hindsight Makes Language Models Better Instruction Followers

Zhang, T., Liu, F., Wong, J., Abbeel, P., & Gonzalez, J. E. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 13

MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting

Liu, F., Fang, K., Abbeel, P., & Levine, S. (2024) · arXiv

Robot Manipulation and LearningMultimodal Machine Learning Applications

Cited by 8