Yunzhu Li

Citirano

	Sve	Od 2020.
Citati	6134	5818
H-indeks	29	29
i10-indeks	40	40

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Suautori

Antonio TorralbaProfessor of Computer Science, MITPotvrđena adresa e-pošte na csail.mit.edu
Jiajun WuStanford UniversityPotvrđena adresa e-pošte na cs.stanford.edu
Joshua B. TenenbaumMITPotvrđena adresa e-pošte na mit.edu
Wojciech MatusikMITPotvrđena adresa e-pošte na csail.mit.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityPotvrđena adresa e-pošte na cs.stanford.edu
Russ TedrakeMIT (EECS, MechE, Aero/Astro) and Toyota Research InstitutePotvrđena adresa e-pošte na mit.edu
Yiyue LuoAssistant Professor, University of WashingtonPotvrđena adresa e-pošte na uw.edu
Michael FosheyMechanical Engineer, Massachusetts Institute of TechnologyPotvrđena adresa e-pošte na mit.edu
Jun-Yan ZhuAssistant Professor, Carnegie Mellon UniversityPotvrđena adresa e-pošte na cs.cmu.edu
Chuang GanUMass Amherst | MIT-IBM Watson AI LabPotvrđena adresa e-pošte na csail.mit.edu
Ruohan ZhangStanford UniversityPotvrđena adresa e-pošte na stanford.edu
Wan ShouUniversity of Arkansas; MIT postdoc; MST Ph.D.Potvrđena adresa e-pošte na mit.edu
Wenlong HuangStanford UniversityPotvrđena adresa e-pošte na stanford.edu
Zhiao HuangPotvrđena adresa e-pošte na ucsd.edu
Tomás PalaciosMITPotvrđena adresa e-pošte na mit.edu
Pratyusha SharmaPhD Student, Massachusetts Institute of TechnologyPotvrđena adresa e-pošte na mit.edu
Stefano ErmonStanford UniversityPotvrđena adresa e-pošte na cs.stanford.edu
Jiaming SongStanford UniversityPotvrđena adresa e-pošte na cs.stanford.edu
Daniel YaminsAssociate Professor of Computer Science and of Psychology, Stanford UniversityPotvrđena adresa e-pošte na stanford.edu
Yixuan WangColumbia UniversityPotvrđena adresa e-pošte na columbia.edu

Prati

Yunzhu Li

Columbia University

Potvrđena adresa e-pošte na columbia.edu - Početna stranica

Robotics Computer Vision Machine Learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	1033	2019
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	524*	2023
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	523	2020
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations Y Li, J Song, S Ermon Advances in Neural Information Processing Systems (NIPS), 2017	502	2017
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	474	2023
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	408	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	292	2021
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	189*	2024
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	175	2016
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	166	2019
3D Neural Scene Representations for Visuomotor Control Y Li, S Li, V Sitzmann, P Agrawal, A Torralba Conference on Robot Learning (CoRL), 2021	146	2021
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	144	2020
Connecting Touch and Vision via Cross-Modal Prediction Y Li, JY Zhu, R Tedrake, A Torralba Computer Vision and Pattern Recognition (CVPR), 2019	137	2019
Causal Discovery in Physical Systems from Videos Y Li, A Torralba, A Anandkumar, D Fox, A Garg Neural Information Processing Systems (NeurIPS), 2020	121	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	112	2020
Executable Code Actions Elicit Better LLM Agents X Wang, Y Chen, L Yuan, Y Zhang, Y Li, H Peng, H Ji International Conference on Machine Learning (ICML), 2024	103	2024
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	95	2020
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	89	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	79	2020
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	75	2022

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