| 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 | 233 | 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 | 149 | 2018 |
| 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 | 145 | 2016 |
| 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 | 121 | 2019 |
| 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 | 97 | 2018 |
| 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 | 63 | 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 | 55 | 2020 |
| 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 | 51 | 2021 |
| 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 | 33 | 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 | 19 | 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 | 16 | 2021 |
| Discovering Generalizable Skills via Automated Generation of Diverse Tasks K Fang, Y Zhu, S Savarese, L Fei-Fei Robotics: Science and Systems (RSS), 2021 | 4 | 2021 |
| 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 | 1 | 2022 |
| 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 | | 2022 |
| Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks K Fang, P Yin, A Nair, H Walke, G Yan, S Levine arXiv preprint arXiv:2210.06601, 2022 | | 2022 |
| Controlling agents using scene memory data K Fang, AT Toshev US Patent 11,455,530, 2022 | | 2022 |
Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityVerified email at stanford.edu
