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Kuan Fang
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2020 – today
- 2024
- [j2]Jianlan Luo, Charles Xu, Xinyang Geng, Gilbert Feng, Kuan Fang, Liam Tan, Stefan Schaal, Sergey Levine:
Multistage Cable Routing Through Hierarchical Imitation Learning. IEEE Trans. Robotics 40: 1476-1491 (2024) - [c19]Chongyi Zheng, Benjamin Eysenbach, Homer Rich Walke, Patrick Yin, Kuan Fang, Ruslan Salakhutdinov, Sergey Levine:
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data. ICLR 2024 - [i19]Fangchen Liu, Kuan Fang, Pieter Abbeel, Sergey Levine:
MOKA: Open-Vocabulary Robotic Manipulation through Mark-Based Visual Prompting. CoRR abs/2403.03174 (2024) - 2023
- [c18]Homer Rich Walke, Kevin Black, Tony Z. Zhao, Quan Vuong, Chongyi Zheng, Philippe Hansen-Estruch, Andre Wang He, Vivek Myers, Moo Jin Kim, Max Du, Abraham Lee, Kuan Fang, Chelsea Finn, Sergey Levine:
BridgeData V2: A Dataset for Robot Learning at Scale. CoRL 2023: 1723-1736 - [c17]Vivek Myers, Andre Wang He, Kuan Fang, Homer Rich Walke, Philippe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca D. Dragan, Sergey Levine:
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control. CoRL 2023: 3894-3908 - [c16]Kuan Fang, Toki Migimatsu, Ajay Mandlekar, Li Fei-Fei, Jeannette Bohg:
Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks. IROS 2023: 1-8 - [i18]Chongyi Zheng, Benjamin Eysenbach, Homer Walke, Patrick Yin, Kuan Fang, Ruslan Salakhutdinov, Sergey Levine:
Stabilizing Contrastive RL: Techniques for Offline Goal Reaching. CoRR abs/2306.03346 (2023) - [i17]Vivek Myers, Andre He, Kuan Fang, Homer Walke, Philippe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca D. Dragan, Sergey Levine:
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control. CoRR abs/2307.00117 (2023) - [i16]Jianlan Luo, Charles Xu, Xinyang Geng, Gilbert Feng, Kuan Fang, Liam Tan, Stefan Schaal, Sergey Levine:
Multi-Stage Cable Routing through Hierarchical Imitation Learning. CoRR abs/2307.08927 (2023) - [i15]Homer Walke, Kevin Black, Abraham Lee, Moo Jin Kim, Maximilian Du, Chongyi Zheng, Tony Z. Zhao, Philippe Hansen-Estruch, Quan Vuong, Andre He, Vivek Myers, Kuan Fang, Chelsea Finn, Sergey Levine:
BridgeData V2: A Dataset for Robot Learning at Scale. CoRR abs/2308.12952 (2023) - 2022
- [c15]Kuan Fang, Patrick Yin, Ashvin Nair, Homer Walke, Gengchen Yan, Sergey Levine:
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks. CoRL 2022: 106-117 - [c14]Kuan Fang, Patrick Yin, Ashvin Nair, Sergey Levine:
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space. IROS 2022: 4076-4083 - [i14]Kuan Fang, Patrick Yin, Ashvin Nair, Sergey Levine:
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space. CoRR abs/2205.08129 (2022) - [i13]Kuan Fang, Patrick Yin, Ashvin Nair, Homer Walke, Gengchen Yan, Sergey Levine:
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks. CoRR abs/2210.06601 (2022) - [i12]Kuan Fang, Toki Migimatsu, Ajay Mandlekar, Li Fei-Fei, Jeannette Bohg:
Active Task Randomization: Learning Visuomotor Skills for Sequential Manipulation by Proposing Feasible and Novel Tasks. CoRR abs/2211.06134 (2022) - 2021
- [c13]Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Adaptive Procedural Task Generation for Hard-Exploration Problems. ICLR 2021 - [c12]Zhenyu Jiang, Yifeng Zhu, Maxwell Svetlik, Kuan Fang, Yuke Zhu:
Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations. Robotics: Science and Systems 2021 - [c11]Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Discovering Generalizable Skills via Automated Generation of Diverse Tasks. Robotics: Science and Systems 2021 - [i11]Zhenyu Jiang, Yifeng Zhu, Maxwell Svetlik, Kuan Fang, Yuke Zhu:
Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations. CoRR abs/2104.01542 (2021) - [i10]Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Discovering Generalizable Skills via Automated Generation of Diverse Tasks. CoRR abs/2106.13935 (2021) - 2020
- [j1]Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese:
Learning task-oriented grasping for tool manipulation from simulated self-supervision. Int. J. Robotics Res. 39(2-3) (2020) - [c10]Zengyi Qin, Kuan Fang, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
KETO: Learning Keypoint Representations for Tool Manipulation. ICRA 2020: 7278-7285 - [i9]RuiXing Wang, Kuan Fang, RiKang Zhou, Zhan Shen, LiWen Fan:
SERank: Optimize Sequencewise Learning to Rank Using Squeeze-and-Excitation Network. CoRR abs/2006.04084 (2020) - [i8]Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Adaptive Procedural Task Generation for Hard-Exploration Problems. CoRR abs/2007.00350 (2020) - [i7]Kuan Fang, Long Zhao, Zhan Shen, RuiXing Wang, RiKang Zhou, LiWen Fan:
Beyond Lexical: A Semantic Retrieval Framework for Textual SearchEngine. CoRR abs/2008.03917 (2020)
2010 – 2019
- 2019
- [c9]Kuan Fang, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei:
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation. CoRL 2019: 42-52 - [c8]Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese:
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks. CVPR 2019: 538-547 - [i6]Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese:
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks. CoRR abs/1903.03878 (2019) - [i5]Zengyi Qin, Kuan Fang, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
KETO: Learning Keypoint Representations for Tool Manipulation. CoRR abs/1910.11977 (2019) - [i4]Kuan Fang, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei:
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation. CoRR abs/1910.13395 (2019) - 2018
- [c7]Kuan Fang, Te-Lin Wu, Daniel Yang, Silvio Savarese, Joseph J. Lim:
Demo2Vec: Reasoning Object Affordances From Online Videos. CVPR 2018: 2139-2147 - [c6]Kuan Fang, Yunfei Bai, Stefan Hinterstoisser, Silvio Savarese, Mrinal Kalakrishnan:
Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation. ICRA 2018: 3516-3523 - [c5]Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese:
Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision. Robotics: Science and Systems 2018 - [c4]Kuan Fang, Yu Xiang, Xiaocheng Li, Silvio Savarese:
Recurrent Autoregressive Networks for Online Multi-object Tracking. WACV 2018: 466-475 - [i3]Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese:
Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision. CoRR abs/1806.09266 (2018) - 2017
- [i2]Kuan Fang, Yunfei Bai, Stefan Hinterstoisser, Mrinal Kalakrishnan:
Multi-task Domain Adaptation for Deep Learning of Instance Grasping from Simulation. CoRR abs/1710.06422 (2017) - [i1]Kuan Fang, Yu Xiang, Silvio Savarese:
Recurrent Autoregressive Networks for Online Multi-Object Tracking. CoRR abs/1711.02741 (2017) - 2016
- [c3]Saumitro Dasgupta, Kuan Fang, Kevin Chen, Silvio Savarese:
DeLay: Robust Spatial Layout Estimation for Cluttered Indoor Scenes. CVPR 2016: 616-624 - 2015
- [c2]Xingyu Liu, Shikai Li, Kuan Fang, Yufei Ni, Zonghui Li, Yangdong Deng:
RadixBoost: A hardware acceleration structure for scalable radix sort on graphic processors. ISCAS 2015: 1174-1177 - 2013
- [c1]Kuan Fang, Yufei Ni, Jiayuan He, Zonghui Li, Shuai Mu, Yangdong Deng:
FastLanes: An FPGA accelerated GPU microarchitecture simulator. ICCD 2013: 241-248
Coauthor Index
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last updated on 2024-07-30 20:46 CEST by the dblp team
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