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Yunzhu Li
Yunzhu Li
Columbia University
Verifierad e-postadress på columbia.edu - Startsida
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Learning the signatures of the human grasp using a scalable tactile glove
S Sundaram, P Kellnhofer, Y Li, JY Zhu, A Torralba, W Matusik
Nature 569 (7758), 698-702, 2019
9772019
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
Y Li, J Song, S Ermon
Advances in Neural Information Processing Systems (NIPS), 2017
4882017
CLEVRER: Collision Events for Video Representation and Reasoning
K Yi, C Gan, Y Li, P Kohli, J Wu, A Torralba, JB Tenenbaum
International Conference on Learning Representations (ICLR), 2020
4832020
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
W Huang, C Wang, R Zhang, Y Li, J Wu, L Fei-Fei
Conference on Robot Learning (CoRL), 2023
4032023
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
Y Li, J Wu, R Tedrake, JB Tenenbaum, A Torralba
International Conference on Learning Representations (ICLR), 2019
3922019
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ...
International Conference on Robotics and Automation (ICRA), 2023
389*2023
Learning human–environment interactions using conformal tactile textiles
Y Luo, Y Li, P Sharma, W Shou, K Wu, M Foshey, B Li, T Palacios, ...
Nature Electronics 4 (3), 193-201, 2021
2682021
Face Detection with End-to-End Integration of a ConvNet and a 3D Model
Y Li, B Sun, T Wu, Y Wang
European Conference on Computer Vision (ECCV), 420-436, 2016
1702016
Propagation Networks for Model-Based Control Under Partial Observation
Y Li, J Wu, JY Zhu, JB Tenenbaum, A Torralba, R Tedrake
International Conference on Robotics and Automation (ICRA), 2019
1612019
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation
C Li, R Zhang, J Wong, C Gokmen, S Srivastava, R Martín-Martín, C Wang, ...
arXiv preprint arXiv:2403.09227, 2024
159*2024
3D Neural Scene Representations for Visuomotor Control
Y Li, S Li, V Sitzmann, P Agrawal, A Torralba
Conference on Robot Learning (CoRL), 2021
1402021
Learning Compositional Koopman Operators for Model-Based Control
Y Li, H He, J Wu, D Katabi, A Torralba
International Conference on Learning Representations (ICLR), 2020
1362020
Connecting Touch and Vision via Cross-Modal Prediction
Y Li, JY Zhu, R Tedrake, A Torralba
Computer Vision and Pattern Recognition (CVPR), 2019
1212019
Causal Discovery in Physical Systems from Videos
Y Li, A Torralba, A Anandkumar, D Fox, A Garg
Neural Information Processing Systems (NeurIPS), 2020
1152020
Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning
L Manuelli, Y Li, P Florence, R Tedrake
Conference on Robot Learning (CoRL), 2020
1062020
Learning Physical Graph Representations from Visual Scenes
DM Bear, C Fan, D Mrowca, Y Li, S Alter, A Nayebi, J Schwartz, L Fei-Fei, ...
Neural Information Processing Systems (NeurIPS), 2020
942020
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields
D Driess, Z Huang, Y Li, R Tedrake, M Toussaint
Conference on Robot Learning (CoRL), 2022
822022
Visual Grounding of Learned Physical Models
Y Li, T Lin, K Yi, D Bear, DLK Yamins, J Wu, JB Tenenbaum, A Torralba
International Conference on Machine Learning (ICML), 2020
752020
RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks
H Shi, H Xu, Z Huang, Y Li, J Wu
Robotics: Science and Systems (RSS), 2022
672022
Reinforcement Learning with Neural Radiance Fields
D Driess, I Schubert, P Florence, Y Li, M Toussaint
Neural Information Processing Systems (NeurIPS), 2022
612022
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Artiklar 1–20