Xiaolin Fang

19 papers A* 6A 2Journal 11
YearRankTypeTitle / Venue / Authors
2025 A* conf
KALM: Keypoint Abstraction Using Large Models for Object-Relative Imitation Learning.
ICRA
Xiaolin Fang, Bo-Ruei Huang, Jiayuan Mao, Jasmine Shone, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2025 J jnl
Streaming Flow Policy: Simplifying diffusion/flow-matching policies by treating action trajectories as flow trajectories.
CoRR
Sunshine Jiang, Xiaolin Fang, Nicholas Roy, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Siddharth Ancha
2024 A conf
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability.
IROS
Xiaolin Fang, Caelan Reed Garrett, Clemens Eppner, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox
2024 A conf
Embodied Uncertainty-Aware Object Segmentation.
IROS
Xiaolin Fang, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2024 J jnl
Embodied Uncertainty-Aware Object Segmentation.
CoRR
Xiaolin Fang, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2024 J jnl
Keypoint Abstraction using Large Models for Object-Relative Imitation Learning.
CoRR
Xiaolin Fang, Bo-Ruei Huang, Jiayuan Mao, Jasmine Shone, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2023 J jnl
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability.
CoRR
Xiaolin Fang, Caelan Reed Garrett, Clemens Eppner, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox
2022 J jnl
Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Conditional Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu
2022 A* conf
Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances.
ICRA
Aidan Curtis, Xiaolin Fang, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Caelan Reed Garrett
2021 A* conf
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation.
AAAI
Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu
2021 J jnl
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation.
CoRR
Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu
2021 J jnl
Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances.
CoRR
Aidan Curtis, Xiaolin Fang, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Caelan Reed Garrett
2019 A* conf
Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model.
CVPR
Tian Han, Erik Nijkamp, Xiaolin Fang, Mitch Hill, Song-Chun Zhu, Ying Nian Wu
2019 J jnl
Multimodal Conditional Learning with Fast Thinking Policy-like Model and Slow Thinking Planner-like Model.
CoRR
Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu
2018 J jnl
Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model.
CoRR
Tian Han, Erik Nijkamp, Xiaolin Fang, Mitch Hill, Song-Chun Zhu, Ying Nian Wu
2018 A* conf
Recurrent Residual Module for Fast Inference in Videos.
CVPR
Bowen Pan, Wuwei Lin, Xiaolin Fang, Chaoqin Huang, Bolei Zhou, Cewu Lu
2018 J jnl
Recurrent Residual Module for Fast Inference in Videos.
CoRR
Bowen Pan, Wuwei Lin, Xiaolin Fang, Chaoqin Huang, Bolei Zhou, Cewu Lu
2018 A* conf
Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer.
CVPR
Haoshu Fang, Guansong Lu, Xiaolin Fang, Jianwen Xie, Yu-Wing Tai, Cewu Lu
2018 J jnl
Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer.
CoRR
Haoshu Fang, Guansong Lu, Xiaolin Fang, Jianwen Xie, Yu-Wing Tai, Cewu Lu