Yunzhu Li
Yunzhu Li
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Zitiert von
Zitiert von
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
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
Y Li, J Song, S Ermon
Advances in Neural Information Processing Systems (NIPS), 2017
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
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
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
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
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
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
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
3D Neural Scene Representations for Visuomotor Control
Y Li, S Li, V Sitzmann, P Agrawal, A Torralba
Conference on Robot Learning (CoRL), 2021
Connecting Touch and Vision via Cross-Modal Prediction
Y Li, JY Zhu, R Tedrake, A Torralba
Computer Vision and Pattern Recognition (CVPR), 2019
Causal discovery in physical systems from videos
Y Li, A Torralba, A Anandkumar, D Fox, A Garg
Neural Information Processing Systems (NeurIPS), 2020
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
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
Open x-embodiment: Robotic learning datasets and rt-x models
A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ...
arXiv preprint arXiv:2310.08864, 2023
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
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
Reinforcement Learning with Neural Radiance Fields
D Driess, I Schubert, P Florence, Y Li, M Toussaint
Neural Information Processing Systems (NeurIPS), 2022
Skin Cancer Detection and Tracking using Data Synthesis and Deep Learning
Y Li, A Esteva, B Kuprel, R Novoa, J Ko, S Thrun
Workshops at the Thirty-First AAAI Conference on Artificial Intelligence, 2017
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools
X Lin, Z Huang, Y Li, JB Tenenbaum, D Held, C Gan
International Conference on Learning Representations (ICLR), 2022
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