Yunzhu Li

According to our database, Yunzhu Li authored at least 49 papers between 2016 and 2024.

Collaborative distances:

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

2024

Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians.

Licheng Zhong, Hong-Xing Yu, Jiajun Wu, Yunzhu Li

CoRR, 2024

BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1, 000 Everyday Activities and Realistic Simulation.

Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Wensi Ai, Benjamin Martinez, Hang Yin, Michael Lingelbach, Minjune Hwang, Ayano Hiranaka, Sujay Garlanka, Arman Aydin, Sharon Lee, Jiankai Sun, Mona Anvari, Manasi Sharma, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R. Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Yunzhu Li, Silvio Savarese, Hyowon Gweon, C. Karen Liu, Jiajun Wu, Li Fei-Fei

CoRR, 2024

RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation.

Hanxiao Jiang, Binghao Huang, Ruihai Wu, Zhuoran Li, Shubham Garg, Hooshang Nayyeri, Shenlong Wang, Yunzhu Li

CoRR, 2024

Executable Code Actions Elicit Better LLM Agents.

Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji

CoRR, 2024

2023

Algorithms and Systems for Manipulating Multiple Objects.

Zherong Pan, Andy Zeng, Yunzhu Li, Jingjin Yu, Kris Hauser

IEEE Trans. Robotics, February, 2023

Multi-Node Motion Estimation Method Based on B-Spline of Array Position and Orientation System.

Junfang Bao, Jianli Li, Chunyu Qu, Yunzhu Li

Remote. Sens., 2023

D³Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Robotic Manipulation.

Yixuan Wang, Zhuoran Li, Mingtong Zhang, Katherine Rose Driggs-Campbell, Jiajun Wu, Li Fei-Fei, Yunzhu Li

CoRR, 2023

The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects.

Ruohan Gao, Yiming Dou, Hao Li, Tanmay Agarwal, Jeannette Bohg, Yunzhu Li, Li Fei-Fei, Jiajun Wu

CoRR, 2023

Partial-View Object View Synthesis via Filtered Inversion.

Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber

CoRR, 2023

Dynamic-Resolution Model Learning for Object Pile Manipulation.

Yixuan Wang, Yunzhu Li, Katherine Driggs Campbell, Li Fei-Fei, Jiajun Wu

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Model-Based Control with Sparse Neural Dynamics.

Ziang Liu, Genggeng Zhou, Jeff He, Tobia Marcucci, Fei-Fei Li, Jiajun Wu, Yunzhu Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?

Lirui Wang, Kaiqing Zhang, Yunzhu Li, Yonglong Tian, Russ Tedrake

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Research on the Design of Weighing Scale Based on Health Management During Pregnancy.

Yunzhu Li, Rongrong Fu

Proceedings of the Design, User Experience, and Usability, 2023

3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes.

Haotian Xue, Antonio Torralba, Joshua B. Tenenbaum, Daniel Yamins, Yunzhu Li, Hsiao-Yu Tung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-Object Manipulation via Object-Centric Neural Scattering Functions.

Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

The Object Folder Benchmark : Multisensory Learning with Neural and Real Objects.

Ruohan Gao, Yiming Dou, Hao Li, Tanmay Agarwal, Jeannette Bohg, Yunzhu Li, Li Fei-Fei, Jiajun Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools.

Haochen Shi, Huazhe Xu, Samuel Clarke, Yunzhu Li, Jiajun Wu

Proceedings of the Conference on Robot Learning, 2023

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models.

Wenlong Huang, Chen Wang, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Li Fei-Fei

Proceedings of the Conference on Robot Learning, 2023

Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks.

Haonan Chen, Yilong Niu, Kaiwen Hong, Shuijing Liu, Yixuan Wang, Yunzhu Li, Katherine Rose Driggs-Campbell

Proceedings of the Conference on Robot Learning, 2023

2022

Does Decentralized Learning with Non-IID Unlabeled Data Benefit from Self Supervision?

Lirui Wang, Kaiqing Zhang, Yunzhu Li, Yonglong Tian, Russ Tedrake

CoRR, 2022

RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks.

Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Reinforcement Learning with Neural Radiance Fields.

Danny Driess, Ingmar Schubert, Pete Florence, Yunzhu Li, Marc Toussaint

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment.

Joseph DelPreto, Chao Liu, Yiyue Luo, Michael Foshey, Yunzhu Li, Antonio Torralba, Wojciech Matusik, Daniela Rus

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools.

Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B. Tenenbaum, David Held, Chuang Gan

Proceedings of the Tenth International Conference on Learning Representations, 2022

ComPhy: Compositional Physical Reasoning of Objects and Events from Videos.

Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan

Proceedings of the Tenth International Conference on Learning Representations, 2022

Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation.

Xingyu Lin, Carl Qi, Yunchu Zhang, Zhiao Huang, Katerina Fragkiadaki, Yunzhu Li, Chuang Gan, David Held

Proceedings of the Conference on Robot Learning, 2022

Learning Multi-Object Dynamics with Compositional Neural Radiance Fields.

Danny Driess, Zhiao Huang, Yunzhu Li, Russ Tedrake, Marc Toussaint

Proceedings of the Conference on Robot Learning, 2022

Discrete Approximate Information States in Partially Observable Environments.

Lujie Yang, Kaiqing Zhang, Alexandre Amice, Yunzhu Li, Russ Tedrake

Proceedings of the American Control Conference, 2022

2021

Dynamic Modeling of Hand-Object Interactions via Tactile Sensing.

Qiang Zhang, Yunzhu Li, Yiyue Luo, Wan Shou, Michael Foshey, Junchi Yan, Joshua B. Tenenbaum, Wojciech Matusik, Antonio Torralba

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Intelligent Carpet: Inferring 3D Human Pose From Tactile Signals.

Yiyue Luo, Yunzhu Li, Michael Foshey, Wan Shou, Pratyusha Sharma, Tomás Palacios, Antonio Torralba, Wojciech Matusik

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

3D Neural Scene Representations for Visuomotor Control.

Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Deep Learning for Nanofluid Field Reconstruction in Experimental Analysis.

Tianyuan Liu, Yunzhu Li, Yonghui Xie, Di Zhang

IEEE Access, 2020

Causal Discovery in Physical Systems from Videos.

Yunzhu Li, Antonio Torralba, Anima Anandkumar, Dieter Fox, Animesh Garg

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Physical Graph Representations from Visual Scenes.

Daniel Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li Fei-Fei, Jiajun Wu, Josh Tenenbaum, Daniel L. K. Yamins

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Two-stage and dual-decoder convolutional U-Net ensembles for reliable vessel and plaque segmentation in carotid ultrasound images.

Meiyan Xie, Yunzhu Li, Yunzhe Xue, Lauren Huntress, William Beckerman, Saum A. Rahimi, Justin W. Ady, Usman W. Roshan

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Visual Grounding of Learned Physical Models.

Yunzhu Li, Toru Lin, Kexin Yi, Daniel Bear, Daniel Yamins, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba

Proceedings of the 37th International Conference on Machine Learning, 2020

CLEVRER: Collision Events for Video Representation and Reasoning.

Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum

Proceedings of the 8th International Conference on Learning Representations, 2020

Learning Compositional Koopman Operators for Model-Based Control.

Yunzhu Li, Hao He, Jiajun Wu, Dina Katabi, Antonio Torralba

Proceedings of the 8th International Conference on Learning Representations, 2020

Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning.

Lucas Manuelli, Yunzhu Li, Peter R. Florence, Russ Tedrake

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Learning the signatures of the human grasp using a scalable tactile glove.

Subramanian Sundaram, Petr Kellnhofer, Yunzhu Li, Jun-Yan Zhu, Antonio Torralba, Wojciech Matusik

Nat., 2019

Propagation Networks for Model-Based Control Under Partial Observation.

Yunzhu Li, Jiajun Wu, Jun-Yan Zhu, Joshua B. Tenenbaum, Antonio Torralba, Russ Tedrake

Proceedings of the International Conference on Robotics and Automation, 2019

Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids.

Yunzhu Li, Jiajun Wu, Russ Tedrake, Joshua B. Tenenbaum, Antonio Torralba

Proceedings of the 7th International Conference on Learning Representations, 2019

Connecting Touch and Vision via Cross-Modal Prediction.

Yunzhu Li, Jun-Yan Zhu, Russ Tedrake, Antonio Torralba

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

Vessel lumen segmentation in internal carotid artery ultrasounds with deep convolutional neural networks.

Meiyan Xie, Yunzhu Li, Yunzhe Xue, Randy Shafritz, Saum A. Rahimi, Justin W. Ady, Usman W. Roshan

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2017

Inferring The Latent Structure of Human Decision-Making from Raw Visual Inputs.

Yunzhu Li, Jiaming Song, Stefano Ermon

CoRR, 2017

InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations.

Yunzhu Li, Jiaming Song, Stefano Ermon

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Skin Cancer Detection and Tracking Using Data Synthesis and Deep Learning.

Yunzhu Li, Andre Esteva, Brett Kuprel, Roberto A. Novoa, Justin Ko, Sebastian Thrun

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Face Detection with End-to-End Integration of a ConvNet and a 3D Model.

Yunzhu Li, Benyuan Sun, Tianfu Wu, Yizhou Wang, Wen Gao

CoRR, 2016

Face Detection with End-to-End Integration of a ConvNet and a 3D Model.

Yunzhu Li, Benyuan Sun, Tianfu Wu, Yizhou Wang

Proceedings of the Computer Vision - ECCV 2016, 2016