| 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 | 295 | 2018 |
| 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 | 205 | 2018 |
| 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 | 166 | 2019 |
| 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 | 160 | 2016 |
| 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 | 116 | 2018 |
| 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 | 99 | 2021 |
| 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 | 84 | 2018 |
| 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 | 78 | 2020 |
| 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 | 47 | 2019 |
| 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 | 30 | 2020 |
| Adaptive Procedural Task Generation for Hard-Exploration Problems K Fang, Y Zhu, S Savarese, L Fei-Fei International Conference on Learning Representations (ICLR), 2021 | 26 | 2021 |
| 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 | 11 | 2023 |
| 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 | 11 | 2022 |
| Discovering Generalizable Skills via Automated Generation of Diverse Tasks K Fang, Y Zhu, S Savarese, L Fei-Fei Robotics: Science and Systems (RSS), 2021 | 10 | 2021 |
| Bridgedata v2: A dataset for robot learning at scale H Walke, K Black, A Lee, MJ Kim, M Du, C Zheng, T Zhao, ... arXiv preprint arXiv:2308.12952, 2023 | 9 | 2023 |
| Goal representations for instruction following: A semi-supervised language interface to control V Myers, A He, K Fang, H Walke, P Hansen-Estruch, CA Cheng, ... arXiv preprint arXiv:2307.00117, 2023 | 4 | 2023 |
| Multi-stage cable routing through hierarchical imitation learning J Luo, C Xu, X Geng, G Feng, K Fang, L Tan, S Schaal, S Levine arXiv preprint arXiv:2307.08927, 2023 | 3 | 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 | 3 | 2023 |
| Active Task Randomization: Learning Visuomotor Skills for Sequential Manipulation by Proposing Feasible and Novel Tasks K Fang, T Migimatsu, A Mandlekar, L Fei-Fei, J Bohg arXiv preprint arXiv:2211.06134, 2022 | 3 | 2022 |
| Controlling agents using scene memory data K Fang, AT Toshev US Patent App. 17/953,222, 2023 | | 2023 |
Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityVerified email at stanford.edu
