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Kuan Fang
Kuan Fang
Postdoc, UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Recurrent autoregressive networks for online multi-object tracking
K Fang, Y Xiang, X Li, S Savarese
IEEE Winter Conference on Applications of Computer Vision (WACV), 2018
3122018
Learning task-oriented grasping for tool manipulation from simulated self-supervision
K Fang, Y Zhu, A Garg, A Kurenkov, V Mehta, L Fei-Fei, S Savarese
Robotics: Science and Systems (RSS), 2018
2252018
Scene memory transformer for embodied agents in long-horizon tasks
K Fang, A Toshev, L Fei-Fei, S Savarese
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
1932019
Delay: Robust spatial layout estimation for cluttered indoor scenes
S Dasgupta, K Fang, K Chen, S Savarese
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
1702016
Synergies between affordance and geometry: 6-dof grasp detection via implicit representations
Z Jiang, Y Zhu, M Svetlik, K Fang, Y Zhu
arXiv preprint arXiv:2104.01542, 2021
1292021
Multi-task domain adaptation for deep learning of instance grasping from simulation
K Fang, Y Bai, S Hinterstoisser, S Savarese, M Kalakrishnan
IEEE International Conference on Robotics and Automation (ICRA), 2018
1262018
Demo2Vec: Reasoning object affordances from online videos
K Fang, TL Wu, D Yang, S Savarese, JJ Lim
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
1012018
KETO: Learning Keypoint Representations for Tool Manipulation
Z Qin, K Fang, Y Zhu, L Fei-Fei, S Savarese
IEEE International Conference on Robotics and Automation (ICRA), 2020
972020
Open x-embodiment: Robotic learning datasets and rt-x models
A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ...
arXiv preprint arXiv:2310.08864, 2023
962023
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation
K Fang, Y Zhu, A Garg, S Savarese, L Fei-Fei
Conference on Robot Learning (CoRL), 2019
492019
Bridgedata v2: A dataset for robot learning at scale
HR Walke, K Black, TZ Zhao, Q Vuong, C Zheng, P Hansen-Estruch, ...
Conference on Robot Learning, 1723-1736, 2023
362023
Machine learning methods and apparatus for robotic manipulation and that utilize multi-task domain adaptation
Y Bai, K Fang, S Hinterstoisser, M Kalakrishnan
US Patent 10,773,382, 2020
362020
Adaptive Procedural Task Generation for Hard-Exploration Problems
K Fang, Y Zhu, S Savarese, L Fei-Fei
International Conference on Learning Representations (ICLR), 2021
302021
Planning to practice: Efficient online fine-tuning by composing goals in latent space
K Fang, P Yin, A Nair, S Levine
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
172022
Generalization with lossy affordances: Leveraging broad offline data for learning visuomotor tasks
K Fang, P Yin, A Nair, HR Walke, G Yan, S Levine
Conference on Robot Learning, 106-117, 2023
162023
Goal representations for instruction following: A semi-supervised language interface to control
V Myers, AW He, K Fang, HR Walke, P Hansen-Estruch, CA Cheng, ...
Conference on Robot Learning, 3894-3908, 2023
142023
Multi-stage cable routing through hierarchical imitation learning
J Luo, C Xu, X Geng, G Feng, K Fang, L Tan, S Schaal, S Levine
IEEE Transactions on Robotics, 2024
122024
Discovering Generalizable Skills via Automated Generation of Diverse Tasks
K Fang, Y Zhu, S Savarese, L Fei-Fei
Robotics: Science and Systems (RSS), 2021
122021
Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks
K Fang, T Migimatsu, A Mandlekar, L Fei-Fei, J Bohg
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
5*2023
Stabilizing contrastive rl: Techniques for offline goal reaching
C Zheng, B Eysenbach, H Walke, P Yin, K Fang, R Salakhutdinov, ...
arXiv preprint arXiv:2306.03346, 2023
42023
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Articles 1–20