Kuan Fang

According to our database, Kuan Fang authored at least 27 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multistage Cable Routing Through Hierarchical Imitation Learning.

Jianlan Luo, Charles Xu, Xinyang Geng, Gilbert Feng, Kuan Fang, Liam Tan, Stefan Schaal, Sergey Levine

IEEE Trans. Robotics, 2024

MOKA: Open-Vocabulary Robotic Manipulation through Mark-Based Visual Prompting.

Fangchen Liu, Kuan Fang, Pieter Abbeel, Sergey Levine

CoRR, 2024

2023

Multi-Stage Cable Routing through Hierarchical Imitation Learning.

Jianlan Luo, Charles Xu, Xinyang Geng, Gilbert Feng, Kuan Fang, Liam Tan, Stefan Schaal, Sergey Levine

CoRR, 2023

Stabilizing Contrastive RL: Techniques for Offline Goal Reaching.

Chongyi Zheng, Benjamin Eysenbach, Homer Walke, Patrick Yin, Kuan Fang, Ruslan Salakhutdinov, Sergey Levine

CoRR, 2023

Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks.

Kuan Fang, Toki Migimatsu, Ajay Mandlekar, Li Fei-Fei, Jeannette Bohg

IROS, 2023

BridgeData V2: A Dataset for Robot Learning at Scale.

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

Proceedings of the Conference on Robot Learning, 2023

Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control.

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

Proceedings of the Conference on Robot Learning, 2023

2022

Active Task Randomization: Learning Visuomotor Skills for Sequential Manipulation by Proposing Feasible and Novel Tasks.

Kuan Fang, Toki Migimatsu, Ajay Mandlekar, Li Fei-Fei, Jeannette Bohg

CoRR, 2022

Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space.

Kuan Fang, Patrick Yin, Ashvin Nair, Sergey Levine

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks.

Kuan Fang, Patrick Yin, Ashvin Nair, Homer Walke, Gengchen Yan, Sergey Levine

Proceedings of the Conference on Robot Learning, 2022

2021

Discovering Generalizable Skills via Automated Generation of Diverse Tasks.

Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations.

Zhenyu Jiang, Yifeng Zhu, Maxwell Svetlik, Kuan Fang, Yuke Zhu

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Adaptive Procedural Task Generation for Hard-Exploration Problems.

Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Learning task-oriented grasping for tool manipulation from simulated self-supervision.

Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese

Int. J. Robotics Res., 2020

Beyond Lexical: A Semantic Retrieval Framework for Textual SearchEngine.

Kuan Fang, Long Zhao, Zhan Shen, RuiXing Wang, RiKang Zhou, LiWen Fan

CoRR, 2020

SERank: Optimize Sequencewise Learning to Rank Using Squeeze-and-Excitation Network.

RuiXing Wang, Kuan Fang, RiKang Zhou, Zhan Shen, LiWen Fan

CoRR, 2020

KETO: Learning Keypoint Representations for Tool Manipulation.

Zengyi Qin, Kuan Fang, Yuke Zhu, Li Fei-Fei, Silvio Savarese

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks.

Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation.

Kuan Fang, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Recurrent Autoregressive Networks for Online Multi-object Tracking.

Kuan Fang, Yu Xiang, Xiaocheng Li, Silvio Savarese

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation.

Kuan Fang, Yunfei Bai, Stefan Hinterstoisser, Silvio Savarese, Mrinal Kalakrishnan

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Demo2Vec: Reasoning Object Affordances From Online Videos.

Kuan Fang, Te-Lin Wu, Daniel Yang, Silvio Savarese, Joseph J. Lim

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Recurrent Autoregressive Networks for Online Multi-Object Tracking.

Kuan Fang, Yu Xiang, Silvio Savarese

CoRR, 2017

Multi-task Domain Adaptation for Deep Learning of Instance Grasping from Simulation.

Kuan Fang, Yunfei Bai, Stefan Hinterstoisser, Mrinal Kalakrishnan

CoRR, 2017

2016

DeLay: Robust Spatial Layout Estimation for Cluttered Indoor Scenes.

Saumitro Dasgupta, Kuan Fang, Kevin Chen, Silvio Savarese

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

RadixBoost: A hardware acceleration structure for scalable radix sort on graphic processors.

Xingyu Liu, Shikai Li, Kuan Fang, Yufei Ni, Zonghui Li, Yangdong Deng

Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

2013

FastLanes: An FPGA accelerated GPU microarchitecture simulator.

Kuan Fang, Yufei Ni, Jiayuan He, Zonghui Li, Shuai Mu, Yangdong Deng

Proceedings of the 2013 IEEE 31st International Conference on Computer Design, 2013