Jiajun Wu

According to our database, Jiajun Wu authored at least 215 papers between 2012 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

Unsupervised Discovery of Object-Centric Neural Fields.

Rundong Luo, Hong-Xing Yu, Jiajun Wu

CoRR, 2024

Learning the 3D Fauna of the Web.

Zizhang Li, Dor Litvak, Ruining Li, Yunzhi Zhang, Tomas Jakab, Christian Rupprecht, Shangzhe Wu, Andrea Vedaldi, Jiajun Wu

CoRR, 2024

Physical scene understanding.

Jiajun Wu

AI Mag., 2024

SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing.

Zhecheng Wang, Rajanie Prabha, Tianyuan Huang, Jiajun Wu, Ram Rajagopal

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

CityPulse: Fine-Grained Assessment of Urban Change with Street View Time Series.

Tianyuan Huang, Zejia Wu, Jiajun Wu, Jackelyn Hwang, Ram Rajagopal

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Editing Motion Graphics Video via Motion Vectorization and Transformation.

Sharon Zhang, Jiaju Ma, Jiajun Wu, Daniel Ritchie, Maneesh Agrawala

ACM Trans. Graph., December, 2023

Object Motion Guided Human Motion Synthesis.

Jiaman Li, Jiajun Wu, C. Karen Liu

ACM Trans. Graph., December, 2023

Fluid Simulation on Neural Flow Maps.

Yitong Deng, Hong-Xing Yu, Diyang Zhang, Jiajun Wu, Bo Zhu

ACM Trans. Graph., December, 2023

Ego-Body Pose Estimation via Ego-Head Pose Estimation.

Jiaman Li, C. Karen Liu, Jiajun Wu

AI Matters, June, 2023

Differentiable Physics Simulation of Dynamics-Augmented Neural Objects.

Simon Le Cleac'h, Hong-Xing Yu, Michelle Guo, Taylor A. Howell, Ruohan Gao, Jiajun Wu, Zachary Manchester, Mac Schwager

IEEE Robotics Autom. Lett., May, 2023

Neurosymbolic Models for Computer Graphics.

Daniel Ritchie, Paul Guerrero, R. Kenny Jones, Niloy J. Mitra, Adriana Schulz, Karl D. D. Willis, Jiajun Wu

Comput. Graph. Forum, May, 2023

DisCo: Improving Compositional Generalization in Visual Reasoning through Distribution Coverage.

Joy Hsu, Jiayuan Mao, Jiajun Wu

Trans. Mach. Learn. Res., 2023

Ponymation: Learning 3D Animal Motions from Unlabeled Online Videos.

Keqiang Sun, Dor Litvak, Yunzhi Zhang, Hongsheng Li, Jiajun Wu, Shangzhe Wu

CoRR, 2023

Holodeck: Language Guided Generation of 3D Embodied AI Environments.

Yue Yang, Fan-Yun Sun, Luca Weihs, Eli VanderBilt, Alvaro Herrasti, Winson Han, Jiajun Wu, Nick Haber, Ranjay Krishna, Lingjie Liu, Chris Callison-Burch, Mark Yatskar, Aniruddha Kembhavi, Christopher Clark

CoRR, 2023

Foundation Models in Robotics: Applications, Challenges, and the Future.

Roya Firoozi, Johnathan Tucker, Stephen Tian, Anirudha Majumdar, Jiankai Sun, Weiyu Liu, Yuke Zhu, Shuran Song, Ashish Kapoor, Karol Hausman, Brian Ichter, Danny Driess, Jiajun Wu, Cewu Lu, Mac Schwager

CoRR, 2023

Controllable Human-Object Interaction Synthesis.

Jiaman Li, Alexander Clegg, Roozbeh Mottaghi, Jiajun Wu, Xavier Puig, C. Karen Liu

CoRR, 2023

WonderJourney: Going from Anywhere to Everywhere.

Hong-Xing Yu, Haoyi Duan, Junhwa Hur, Kyle Sargent, Michael Rubinstein, William T. Freeman, Forrester Cole, Deqing Sun, Noah Snavely, Jiajun Wu, Charles Herrmann

CoRR, 2023

Language-Informed Visual Concept Learning.

Sharon Lee, Yunzhi Zhang, Shangzhe Wu, Jiajun Wu

CoRR, 2023

ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Real Image.

Kyle Sargent, Zizhang Li, Tanmay Shah, Charles Herrmann, Hong-Xing Yu, Yunzhi Zhang, Eric Ryan Chan, Dmitry Lagun, Li Fei-Fei, Deqing Sun, Jiajun Wu

CoRR, 2023

Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-horizon Decision-Making in Embodied AI.

Emily Jin, Jiaheng Hu, Zhuoyi Huang, Ruohan Zhang, Jiajun Wu, Li Fei-Fei, Roberto Martín-Martín

CoRR, 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

PyPose v0.6: The Imperative Programming Interface for Robotics.

Zitong Zhan, Xiangfu Li, Qihang Li, Haonan He, Abhinav Pandey, Haitao Xiao, Yangmengfei Xu, Xiangyu Chen, Kuan Xu, Kun Cao, Zhipeng Zhao, Zihan Wang, Huan Xu, Zihang Fang, Yutian Chen, Wentao Wang, Xu Fang, Yi Du, Tianhao Wu, Xiao Lin, Yuheng Qiu, Fan Yang, Jingnan Shi, Shaoshu Su, Yiren Lu, Taimeng Fu, Karthik Dantu, Jiajun Wu, Lihua Xie, Marco Hutter, Luca Carlone, Sebastian A. Scherer, Daning Huang, Yaoyu Hu, Junyi Geng, Chen Wang

CoRR, 2023

Physically Grounded Vision-Language Models for Robotic Manipulation.

Jensen Gao, Bidipta Sarkar, Fei Xia, Ted Xiao, Jiajun Wu, Brian Ichter, Anirudha Majumdar, Dorsa Sadigh

CoRR, 2023

Patched Denoising Diffusion Models For High-Resolution Image Synthesis.

Zheng Ding, Mengqi Zhang, Jiajun Wu, Zhuowen Tu

CoRR, 2023

Giving Robots a Hand: Learning Generalizable Manipulation with Eye-in-Hand Human Video Demonstrations.

Moo Jin Kim, Jiajun Wu, Chelsea Finn

CoRR, 2023

HomE: Homography-Equivariant Video Representation Learning.

Anirudh Sriram, Adrien Gaidon, Jiajun Wu, Juan Carlos Niebles, Li Fei-Fei, Ehsan Adeli

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

An Extensible Multimodal Multi-task Object Dataset with Materials.

Trevor Standley, Ruohan Gao, Dawn Chen, Jiajun Wu, Silvio Savarese

CoRR, 2023

ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding.

Le Xue, Ning Yu, Shu Zhang, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese

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

Learning Object-Centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition.

Hong-Xing Yu, Michelle Guo, Alireza Fathi, Yen-Yu Chang, Eric Ryan Chan, Ruohan Gao, Thomas A. Funkhouser, Jiajun Wu

CoRR, 2023

Physically Plausible Animation of Human Upper Body from a Single Image.

Ziyuan Huang, Zhengping Zhou, Yung-Yu Chuang, Jiajun Wu, C. Karen Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Inferring Hybrid Neural Fluid Fields from Videos.

Hong-Xing Yu, Yang Zheng, Yuan Gao, Yitong Deng, Bo Zhu, Jiajun Wu

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

SoundCam: A Dataset for Finding Humans Using Room Acoustics.

Mason Wang, Samuel Clarke, Jui-Hsien Wang, Ruohan Gao, Jiajun Wu

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

Holistic Evaluation of Text-to-Image Models.

Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Fei-Fei Li, Jiajun Wu, Stefano Ermon, Percy Liang

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

Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark.

Zhengfei Kuang, Yunzhi Zhang, Hong-Xing Yu, Samir Agarwala, Shangzhe Wu, Jiajun Wu

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

Are These the Same Apple? Comparing Images Based on Object Intrinsics.

Klemen Kotar, Stephen Tian, Hong-Xing Yu, Dan Yamins, Jiajun Wu

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

What's Left? Concept Grounding with Logic-Enhanced Foundation Models.

Joy Hsu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu

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

Disentanglement via Latent Quantization.

Kyle Hsu, William Dorrell, James C. R. Whittington, Jiajun Wu, Chelsea Finn

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

Siamese Masked Autoencoders.

Agrim Gupta, Jiajun Wu, Jia Deng, Fei-Fei Li

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

3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection.

Yunhao Ge, Hong-Xing Yu, Cheng Zhao, Yuliang Guo, Xinyu Huang, Liu Ren, Laurent Itti, Jiajun Wu

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

Benchmarking Rigid Body Contact Models.

Michelle Guo, Yifeng Jiang, Andrew Everett Spielberg, Jiajun Wu, C. Karen Liu

Proceedings of the Learning for Dynamics and Control Conference, 2023

Primitive Skill-Based Robot Learning from Human Evaluative Feedback.

Ayano Hiranaka, Minjune Hwang, Sharon Lee, Chen Wang, Li Fei-Fei, Jiajun Wu, Ruohan Zhang

IROS, 2023

Task-Driven Graph Attention for Hierarchical Relational Object Navigation.

Michael Lingelbach, Chengshu Li, Minjune Hwang, Andrey Kurenkov, Alan Lou, Roberto Martín-Martín, Ruohan Zhang, Li Fei-Fei, Jiajun Wu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear.

Ruohan Gao, Hao Li, Gokul Dharan, Zhuzhu Wang, Chengshu Li, Fei Xia, Silvio Savarese, Li Fei-Fei, Jiajun Wu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

STAP: Sequencing Task-Agnostic Policies.

Christopher Agia, Toki Migimatsu, Jiajun Wu, Jeannette Bohg

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Modeling Dynamic Environments with Scene Graph Memory.

Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Emily Jin, Chengshu Li, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín

Proceedings of the International Conference on Machine Learning, 2023

Motion Question Answering via Modular Motion Programs.

Mark Endo, Joy Hsu, Jiaman Li, Jiajun Wu

Proceedings of the International Conference on Machine Learning, 2023

Programmatically Grounded, Compositionally Generalizable Robotic Manipulation.

Renhao Wang, Jiayuan Mao, Joy Hsu, Hang Zhao, Jiajun Wu, Yang Gao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Control-Centric Benchmark for Video Prediction.

Stephen Tian, Chelsea Finn, Jiajun Wu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

An Extensible Multi-modal Multi-task Object Dataset with Materials.

Trevor Scott Standley, Ruohan Gao, Dawn Chen, Jiajun Wu, Silvio Savarese

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MaskViT: Masked Visual Pre-Training for Video Prediction.

Agrim Gupta, Stephen Tian, Yunzhi Zhang, Jiajun Wu, Roberto Martín-Martín, Li Fei-Fei

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Vortex Dynamics for Fluid Inference and Prediction.

Yitong Deng, Hong-Xing Yu, Jiajun Wu, Bo Zhu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Rendering Humans from Object-Occluded Monocular Videos.

Tiange Xiang, Adam Sun, Jiajun Wu, Ehsan Adeli, Li Fei-Fei

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

VQ3D: Learning a 3D-Aware Generative Model on ImageNet.

Kyle Sargent, Jing Yu Koh, Han Zhang, Huiwen Chang, Charles Herrmann, Pratul Srinivasan, Jiajun Wu, Deqing Sun

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Tree-Structured Shading Decomposition.

Chen Geng, Hong-Xing Yu, Sharon Zhang, Maneesh Agrawala, Jiajun Wu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Seeing a Rose in Five Thousand Ways.

Yunzhi Zhang, Shangzhe Wu, Noah Snavely, Jiajun Wu

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

Accidental Light Probes.

Hong-Xing Yu, Samir Agarwala, Charles Herrmann, Richard Szeliski, Noah Snavely, Jiajun Wu, Deqing Sun

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

ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding.

Le Xue, Mingfei Gao, Chen Xing, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese

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

PyPose: A Library for Robot Learning with Physics-based Optimization.

Chen Wang, Dasong Gao, Kuan Xu, Junyi Geng, Yaoyu Hu, Yuheng Qiu, Bowen Li, Fan Yang, Brady G. Moon, Abhinav Pandey, Aryan, Jiahe Xu, Tianhao Wu, Haonan He, Daning Huang, Zhongqiang Ren, Shibo Zhao, Taimeng Fu, Pranay Reddy, Xiao Lin, Wenshan Wang, Jingnan Shi, Rajat Talak, Kun Cao, Yi Du, Han Wang, Huai Yu, Shanzhao Wang, Siyu Chen, Ananth Kashyap, Rohan Bandaru, Karthik Dantu, Jiajun Wu, Lihua Xie, Luca Carlone, Marco Hutter, Sebastian A. Scherer

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

3D Neural Field Generation Using Triplane Diffusion.

J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, Gordon Wetzstein

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

Putting People in Their Place: Affordance-Aware Human Insertion into Scenes.

Sumith Kulal, Tim Brooks, Alex Aiken, Jiajun Wu, Jimei Yang, Jingwan Lu, Alexei A. Efros, Krishna Kumar Singh

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

NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations.

Joy Hsu, Jiayuan Mao, 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

REALIMPACT: A Dataset of Impact Sound Fields for Real Objects.

Samuel Clarke, Ruohan Gao, Mason Wang, Mark Rau, Julia Xu, Jui-Hsien Wang, Doug L. James, Jiajun Wu

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

CIRCLE: Capture In Rich Contextual Environments.

João Pedro Araújo, Jiaman Li, Karthik Vetrivel, Rishi Agarwal, Jiajun Wu, Deepak Gopinath, Alexander Clegg, C. Karen Liu

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

NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities.

Ruohan Zhang, Sharon Lee, Minjune Hwang, Ayano Hiranaka, Chen Wang, Wensi Ai, Jin Jie Ryan Tan, Shreya Gupta, Yilun Hao, Gabrael Levine, Ruohan Gao, Anthony Norcia, Li Fei-Fei, Jiajun Wu

Proceedings of the Conference on Robot Learning, 2023

Compositional Diffusion-Based Continuous Constraint Solvers.

Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling

Proceedings of the Conference on Robot Learning, 2023

Learning Sequential Acquisition Policies for Robot-Assisted Feeding.

Priya Sundaresan, Jiajun Wu, Dorsa Sadigh

Proceedings of the Conference on Robot Learning, 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

Composable Part-Based Manipulation.

Weiyu Liu, Jiayuan Mao, Joy Hsu, Tucker Hermans, Animesh Garg, 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

Learning to Design and Use Tools for Robotic Manipulation.

Ziang Liu, Stephen Tian, Michelle Guo, C. Karen Liu, Jiajun Wu

Proceedings of the Conference on Robot Learning, 2023

Learning Rational Subgoals from Demonstrations and Instructions.

Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

ULIP: Learning Unified Representation of Language, Image and Point Cloud for 3D Understanding.

Le Xue, Mingfei Gao, Chen Xing, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese

CoRR, 2022

TAPS: Task-Agnostic Policy Sequencing.

Christopher Agia, Toki Migimatsu, Jiajun Wu, Jeannette Bohg

CoRR, 2022

Retrospectives on the Embodied AI Workshop.

Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez-D'Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony G. Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu

CoRR, 2022

PyPose: A Library for Robot Learning with Physics-based Optimization.

Chen Wang, Dasong Gao, Kuan Xu, Junyi Geng, Yaoyu Hu, Yuheng Qiu, Bowen Li, Fan Yang, Brady G. Moon, Abhinav Pandey, Aryan, Jiahe Xu, Tianhao Wu, Haonan He, Daning Huang, Zhongqiang Ren, Shibo Zhao, Taimeng Fu, Pranay Reddy, Xiao Lin, Wenshan Wang, Jingnan Shi, Rajat Talak, Han Wang, Huai Yu, Shanzhao Wang, Ananth Kashyap, Rohan Bandaru, Karthik Dantu, Jiajun Wu, Luca Carlone, Marco Hutter, Sebastian A. Scherer

CoRR, 2022

BEHAVIOR in Habitat 2.0: Simulator-Independent Logical Task Description for Benchmarking Embodied AI Agents.

Ziang Liu, Roberto Martín-Martín, Fei Xia, Jiajun Wu, Li Fei-Fei

CoRR, 2022

Unsupervised Discovery and Composition of Object Light Fields.

Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Frédo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann

CoRR, 2022

Scene Synthesis from Human Motion.

Sifan Ye, Yixing Wang, Jiaman Li, Dennis Park, C. Karen Liu, Huazhe Xu, Jiajun Wu

Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 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

IKEA-Manual: Seeing Shape Assembly Step by Step.

Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Ran Zhang, Chin-Yi Cheng, Jiajun Wu

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

Interaction Modeling with Multiplex Attention.

Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber

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

CLEVRER-Humans: Describing Physical and Causal Events the Human Way.

Jiayuan Mao, Xuelin Yang, Xikun Zhang, Noah D. Goodman, Jiajun Wu

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

MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing.

Zelun Luo, Zane Durante, Linden Li, Wanze Xie, Ruochen Liu, Emily Jin, Zhuoyi Huang, Lun Yu Li, Jiajun Wu, Juan Carlos Niebles, Ehsan Adeli, Fei-Fei Li

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

Geoclidean: Few-Shot Generalization in Euclidean Geometry.

Joy Hsu, Jiajun Wu, Noah D. Goodman

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

Unsupervised Learning of Shape Programs with Repeatable Implicit Parts.

Boyang Deng, Sumith Kulal, Zhengyang Dong, Congyue Deng, Yonglong Tian, Jiajun Wu

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

E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance.

Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu

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

Sparse and Local Networks for Hypergraph Reasoning.

Guangxuan Xiao, Leslie Pack Kaelbling, Jiajun Wu, Jiayuan Mao

Proceedings of the Learning on Graphs Conference, 2022

Unsupervised Discovery of Object Radiance Fields.

Hong-Xing Yu, Leonidas J. Guibas, Jiajun Wu

Proceedings of the Tenth International Conference on Learning Representations, 2022

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon

Proceedings of the Tenth International Conference on Learning Representations, 2022

Vision-Based Manipulators Need to Also See from Their Hands.

Kyle Hsu, Moo Jin Kim, Rafael Rafailov, Jiajun Wu, Chelsea Finn

Proceedings of the Tenth International Conference on Learning Representations, 2022

Video Extrapolation in Space and Time.

Yunzhi Zhang, Jiajun Wu

Proceedings of the Computer Vision - ECCV 2022, 2022

Translating a Visual LEGO Manual to a Machine-Executable Plan.

Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Chin-Yi Cheng, Jiajun Wu

Proceedings of the Computer Vision - ECCV 2022, 2022

Unsupervised Segmentation in Real-World Images via Spelke Object Inference.

Honglin Chen, Rahul Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear

Proceedings of the Computer Vision - ECCV 2022, 2022

Rotationally Equivariant 3D Object Detection.

Hong-Xing Yu, Jiajun Wu, Li Yi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Programmatic Concept Learning for Human Motion Description and Synthesis.

Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer.

Ruohan Gao, Zilin Si, Yen-Yu Chang, Samuel Clarke, Jeannette Bohg, Li Fei-Fei, Wenzhen Yuan, Jiajun Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Revisiting the "Video" in Video-Language Understanding.

Shyamal Buch, Cristóbal Eyzaguirre, Adrien Gaidon, Jiajun Wu, Li Fei-Fei, Juan Carlos Niebles

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Dual Representation Framework for Robot Learning with Human Guidance.

Ruohan Zhang, Dhruva Bansal, Yilun Hao, Ayano Hiranaka, Jialu Gao, Chen Wang, Roberto Martín-Martín, Li Fei-Fei, Jiajun Wu

Proceedings of the Conference on Robot Learning, 2022

See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation.

Hao Li, Yizhi Zhang, Junzhe Zhu, Shaoxiong Wang, Michelle A. Lee, Huazhe Xu, Edward H. Adelson, Li Fei-Fei, Ruohan Gao, Jiajun Wu

Proceedings of the Conference on Robot Learning, 2022

BEHAVIOR-1K: A Benchmark for Embodied AI 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, Michael Lingelbach, Jiankai Sun, Mona Anvari, Minjune Hwang, Manasi Sharma, Arman Aydin, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R. Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Silvio Savarese, Hyowon Gweon, C. Karen Liu, Jiajun Wu, Li Fei-Fei

Proceedings of the Conference on Robot Learning, 2022

2021

SDEdit: Image Synthesis and Editing with Stochastic Differential Equations.

Chenlin Meng, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon

CoRR, 2021

Learning to see the physical world.

Jiajun Wu

AI Matters, 2021

When is particle filtering efficient for planning in partially observed linear dynamical systems?

Simon S. Du, Wei Hu, Zhiyuan Li, Ruoqi Shen, Zhao Song, Jiajun Wu

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

DASH: Modularized Human Manipulation Simulation with Vision and Language for Embodied AI.

Yifeng Jiang, Michelle Guo, Jiangshan Li, Ioannis Exarchos, Jiajun Wu, C. Karen Liu

Proceedings of the SCA '21: The ACM SIGGRAPH / Eurographics Symposium on Computer Animation, 2021

Grammar-Based Grounded Lexicon Learning.

Jiayuan Mao, Freda Shi, Jiajun Wu, Roger Levy, Josh Tenenbaum

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Temporal and Object Quantification Networks.

Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Unsupervised Discovery of 3D Physical Objects from Video.

Yilun Du, Kevin A. Smith, Tomer D. Ullman, Joshua B. Tenenbaum, Jiajun Wu

Proceedings of the 9th International Conference on Learning Representations, 2021

Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning.

Zhenfang Chen, Jiayuan Mao, Jiajun Wu, Kwan-Yee Kenneth Wong, Joshua B. Tenenbaum, Chuang Gan

Proceedings of the 9th International Conference on Learning Representations, 2021

3D Shape Generation and Completion through Point-Voxel Diffusion.

Linqi Zhou, Yilun Du, Jiajun Wu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Temporal Dynamics from Cycles in Narrated Video.

Dave Epstein, Jiajun Wu, Cordelia Schmid, Chen Sun

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Neural Radiance Flow for 4D View Synthesis and Video Processing.

Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum, Jiajun Wu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

De-Rendering the World's Revolutionary Artefacts.

Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa

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

Repopulating Street Scenes.

Yifan Wang, Andrew Liu, Richard Tucker, Jiajun Wu, Brian L. Curless, Steven M. Seitz, Noah Snavely

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

Hierarchical Motion Understanding via Motion Programs.

Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu

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

KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control.

Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa

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

Pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis.

Eric R. Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, Gordon Wetzstein

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

Single-Shot Scene Reconstruction.

Sergey Zakharov, Rares Andrei Ambrus, Vitor Guizilini, Dennis Park, Wadim Kehl, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon

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

BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments.

Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martín-Martín, Fei Xia, Kent Elliott Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei

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

ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations.

Ruohan Gao, Yen-Yu Chang, Shivani Mall, Li Fei-Fei, Jiajun Wu

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

DiffImpact: Differentiable Rendering and Identification of Impact Sounds.

Samuel Clarke, Negin Heravi, Mark Rau, Ruohan Gao, Jiajun Wu, Doug L. James, Jeannette Bohg

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

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks.

Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Elliott Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese

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

Language-Mediated, Object-Centric Representation Learning.

Ruocheng Wang, Jiayuan Mao, Samuel Gershman, Jiajun Wu

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Augmenting Policy Learning with Routines Discovered from a Single Demonstration.

Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Augmenting Policy Learning with Routines Discovered from a Demonstration.

Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum

CoRR, 2020

Object-Centric Diagnosis of Visual Reasoning.

Jianwei Yang, Jiayuan Mao, Jiajun Wu, Devi Parikh, David D. Cox, Joshua B. Tenenbaum, Chuang Gan

CoRR, 2020

Object-Centric Neural Scene Rendering.

Michelle Guo, Alireza Fathi, Jiajun Wu, Thomas A. Funkhouser

CoRR, 2020

Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection.

Yue Wang, Alireza Fathi, Jiajun Wu, Thomas A. Funkhouser, Justin Solomon

CoRR, 2020

Unsupervised Discovery of 3D Physical Objects from Video.

Yilun Du, Kevin Smith, Tomer D. Ullman, Joshua B. Tenenbaum, Jiajun Wu

CoRR, 2020

When is Particle Filtering Efficient for POMDP Sequential Planning?

Simon S. Du, Wei Hu, Zhiyuan Li, Ruoqi Shen, Zhao Song, Jiajun Wu

CoRR, 2020

Learning Generative Models of 3D Structures.

Siddhartha Chaudhuri, Daniel Ritchie, Jiajun Wu, Kai Xu, Hao (Richard) Zhang

Comput. Graph. Forum, 2020

Multi-Plane Program Induction with 3D Box Priors.

Yikai Li, Jiayuan Mao, Xiuming Zhang, Bill Freeman, Josh Tenenbaum, Noah Snavely, Jiajun Wu

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

DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs.

Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Accurate Vision-based Manipulation through Contact Reasoning.

Alina Kloss, Maria Bauzá, Jiajun Wu, Joshua B. Tenenbaum, Alberto Rodriguez, Jeannette Bohg

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Look, Listen, and Act: Towards Audio-Visual Embodied Navigation.

Chuang Gan, Yiwei Zhang, Jiajun Wu, Boqing Gong, Joshua B. Tenenbaum

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 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

Deep Audio Priors Emerge From Harmonic Convolutional Networks.

Zhoutong Zhang, Yunyun Wang, Chuang Gan, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman

Proceedings of the 8th International Conference on Learning Representations, 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

Probabilistic Video Prediction From Noisy Data With a Posterior Confidence.

Yunbo Wang, Jiajun Wu, Mingsheng Long, Joshua B. Tenenbaum

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

End-to-End Optimization of Scene Layout.

Andrew Luo, Zhoutong Zhang, Jiajun Wu, Joshua B. Tenenbaum

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Perspective Plane Program Induction From a Single Image.

Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning 3D Dynamic Scene Representations for Robot Manipulation.

Zhenjia Xu, Zhanpeng He, Jiajun Wu, Shuran Song

Proceedings of the 4th Conference on Robot Learning, 2020

The fine structure of surprise in intuitive physics: when, why, and how much?

Kevin Smith, Lingjie Mei, Shunyu Yao, Jiajun Wu, Elizabeth S. Spelke, Josh Tenenbaum, Tomer D. Ullman

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

See, feel, act: Hierarchical learning for complex manipulation skills with multisensory fusion.

M. Oller, Jiajun Wu, Z. Wu, Joshua B. Tenenbaum, Alberto Rodriguez

Sci. Robotics, 2019

Visual Dynamics: Stochastic Future Generation via Layered Cross Convolutional Networks.

Tianfan Xue, Jiajun Wu, Katherine L. Bouman, William T. Freeman

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Video Enhancement with Task-Oriented Flow.

Tianfan Xue, Baian Chen, Jiajun Wu, Donglai Wei, William T. Freeman

Int. J. Comput. Vis., 2019

Dual Sequential Monte Carlo: Tunneling Filtering and Planning in Continuous POMDPs.

Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum

CoRR, 2019

DensePhysNet: Learning Dense Physical Object Representations Via Multi-Step Dynamic Interactions.

Zhenjia Xu, Jiajun Wu, Andy Zeng, Joshua B. Tenenbaum, Shuran Song

Proceedings of the Robotics: Science and Systems XV, 2019

Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations.

Kevin Smith, Lingjie Mei, Shunyu Yao, Jiajun Wu, Elizabeth S. Spelke, Josh Tenenbaum, Tomer D. Ullman

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Visual Concept-Metaconcept Learning.

Chi Han, Jiayuan Mao, Chuang Gan, Josh Tenenbaum, Jiajun Wu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 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

ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics.

Yuanming Hu, Jiancheng Liu, Andrew Spielberg, Joshua B. Tenenbaum, William T. Freeman, Jiajun Wu, Daniela Rus, Wojciech Matusik

Proceedings of the International Conference on Robotics and Automation, 2019

Combining Physical Simulators and Object-Based Networks for Control.

Anurag Ajay, Maria Bauzá, Jiajun Wu, Nima Fazeli, Joshua B. Tenenbaum, Alberto Rodriguez, Leslie Pack Kaelbling

Proceedings of the International Conference on Robotics and Automation, 2019

Neurally-Guided Structure Inference.

Sidi Lu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu

Proceedings of the 36th International Conference on Machine Learning, 2019

Unsupervised Discovery of Parts, Structure, and Dynamics.

Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

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

Learning to Infer and Execute 3D Shape Programs.

Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

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

Stochastic Prediction of Multi-Agent Interactions from Partial Observations.

Chen Sun, Per Karlsson, Jiajun Wu, Joshua B. Tenenbaum, Kevin Murphy

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

The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision.

Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu

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

Learning to Describe Scenes with Programs.

Yunchao Liu, Zheng Wu, Daniel Ritchie, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

Proceedings of the 7th International Conference on Learning Representations, 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

Reasoning About Physical Interactions with Object-Oriented Prediction and Planning.

Michael Janner, Sergey Levine, William T. Freeman, Joshua B. Tenenbaum, Chelsea Finn, Jiajun Wu

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

Program-Guided Image Manipulators.

Xiuming Zhang, Jiayuan Mao, Yikai Li, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Entity Abstraction in Visual Model-Based Reinforcement Learning.

Rishi Veerapaneni, John D. Co-Reyes, Michael Chang, Michael Janner, Chelsea Finn, Jiajun Wu, Joshua B. Tenenbaum, Sergey Levine

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Real-time inference of physical properties in dynamic scenes.

Kevin Smith, Mario Belledonne, Ilker Yildirim, Jiajun Wu, Josh Tenenbaum

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

3D Interpreter Networks for Viewer-Centered Wireframe Modeling.

Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman

Int. J. Comput. Vis., 2018

Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning.

Andrew Owens, Jiajun Wu, Josh H. McDermott, William T. Freeman, Antonio Torralba

Int. J. Comput. Vis., 2018

Visual Object Networks: Image Generation with Disentangled 3D Representation.

Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum, William T. Freeman

CoRR, 2018

MoSculp: Interactive Visualization of Shape and Time.

Xiuming Zhang, Tali Dekel, Tianfan Xue, Andrew Owens, Qiurui He, Jiajun Wu, Stefanie Mueller, William T. Freeman

Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology, 2018

Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks.

David Zheng, Vinson Luo, Jiajun Wu, Joshua B. Tenenbaum

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Visual Object Networks: Image Generation with Disentangled 3D Representations.

Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Josh Tenenbaum, Bill Freeman

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning to Reconstruct Shapes from Unseen Classes.

Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Josh Tenenbaum, Bill Freeman, Jiajun Wu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding.

Kexin Yi, Jiajun Wu, Chuang Gan, Antonio Torralba, Pushmeet Kohli, Josh Tenenbaum

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

3D-Aware Scene Manipulation via Inverse Graphics.

Shunyu Yao, Tzu-Ming Harry Hsu, Jun-Yan Zhu, Jiajun Wu, Antonio Torralba, Bill Freeman, Josh Tenenbaum

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning to Exploit Stability for 3D Scene Parsing.

Yilun Du, Zhijian Liu, Hector Basevi, Ales Leonardis, Bill Freeman, Josh Tenenbaum, Jiajun Wu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

3D Shape Perception from Monocular Vision, Touch, and Shape Priors.

Shaoxiong Wang, Jiajun Wu, Xingyuan Sun, Wenzhen Yuan, William T. Freeman, Joshua B. Tenenbaum, Edward H. Adelson

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing.

Anurag Ajay, Jiajun Wu, Nima Fazeli, Maria Bauzá, Leslie Pack Kaelbling, Joshua B. Tenenbaum, Alberto Rodriguez

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Seeing Tree Structure from Vibration.

Tianfan Xue, Jiajun Wu, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman

Proceedings of the Computer Vision - ECCV 2018, 2018

Learning Shape Priors for Single-View 3D Completion And Reconstruction.

Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T. Freeman, Joshua B. Tenenbaum

Proceedings of the Computer Vision - ECCV 2018, 2018

Physical Primitive Decomposition.

Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

Proceedings of the Computer Vision - ECCV 2018, 2018

Inverting Audio-Visual Simulation for Shape and Material Perception.

Zhoutong Zhang, Jiajun Wu, Qiujia Li, Zhengjia Huang, Joshua B. Tenenbaum, William T. Freeman

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling.

Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B. Tenenbaum, William T. Freeman

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification.

Xiang Long, Chuang Gan, Gerard de Melo, Jiajun Wu, Xiao Liu, Shilei Wen

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Shape and Material from Sound.

Zhoutong Zhang, Qiujia Li, Zhengjia Huang, Jiajun Wu, Josh Tenenbaum, Bill Freeman

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

Self-Supervised Intrinsic Image Decomposition.

Michael Janner, Jiajun Wu, Tejas D. Kulkarni, Ilker Yildirim, Josh Tenenbaum

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

MarrNet: 3D Shape Reconstruction via 2.5D Sketches.

Jiajun Wu, Yifan Wang, Tianfan Xue, Xingyuan Sun, Bill Freeman, Josh Tenenbaum

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

Learning to See Physics via Visual De-animation.

Jiajun Wu, Erika Lu, Pushmeet Kohli, Bill Freeman, Josh Tenenbaum

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

Generative Modeling of Audible Shapes for Object Perception.

Zhoutong Zhang, Jiajun Wu, Qiujia Li, Zhengjia Huang, James Traer, Josh H. McDermott, Joshua B. Tenenbaum, William T. Freeman

Proceedings of the IEEE International Conference on Computer Vision, 2017

Raster-to-Vector: Revisiting Floorplan Transformation.

Chen Liu, Jiajun Wu, Pushmeet Kohli, Yasutaka Furukawa

Proceedings of the IEEE International Conference on Computer Vision, 2017

Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks.

Amir Arsalan Soltani, Haibin Huang, Jiajun Wu, Tejas D. Kulkarni, Joshua B. Tenenbaum

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Neural Scene De-rendering.

Jiajun Wu, Joshua B. Tenenbaum, Pushmeet Kohli

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Deep Multi-Modal Image Correspondence Learning.

Chen Liu, Jiajun Wu, Pushmeet Kohli, Yasutaka Furukawa

CoRR, 2016

Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks.

Tianfan Xue, Jiajun Wu, Katherine L. Bouman, Bill Freeman

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling.

Jiajun Wu, Chengkai Zhang, Tianfan Xue, Bill Freeman, Josh Tenenbaum

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Ambient Sound Provides Supervision for Visual Learning.

Andrew Owens, Jiajun Wu, Josh H. McDermott, William T. Freeman, Antonio Torralba

Proceedings of the Computer Vision - ECCV 2016, 2016

Single Image 3D Interpreter Network.

Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman

Proceedings of the Computer Vision - ECCV 2016, 2016

A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding.

Renqiao Zhang, Jiajun Wu, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Physics 101: Learning Physical Object Properties from Unlabeled Videos.

Jiajun Wu, Joseph J. Lim, Hongyi Zhang, Joshua B. Tenenbaum, William T. Freeman

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning.

Jun-Yan Zhu, Jiajun Wu, Yan Xu, Eric I-Chao Chang, Zhuowen Tu

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning.

Jiajun Wu, Ilker Yildirim, Joseph J. Lim, Bill Freeman, Joshua B. Tenenbaum

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Deep multiple instance learning for image classification and auto-annotation.

Jiajun Wu, Yinan Yu, Chang Huang, Kai Yu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation.

Jiajun Wu, Yibiao Zhao, Jun-Yan Zhu, Siwei Luo, Zhuowen Tu

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Harvesting Motion Patterns in Still Images from the Internet.

Jiajun Wu, Yining Wang, Zhulin Li, Zhuowen Tu

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Reverse Image Segmentation: A High-Level Solution to a Low-Level Task.

Jiajun Wu, Junyan Zhu, Zhuowen Tu

Proceedings of the British Machine Vision Conference, 2014

2013

Harvesting Mid-level Visual Concepts from Large-Scale Internet Images.

Quannan Li, Jiajun Wu, Zhuowen Tu

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

A classification approach to coreference in discharge summaries: 2011 i2b2 challenge.

Yan Xu, Jiahua Liu, Jiajun Wu, Yue Wang, Zhuowen Tu, Jian-Tao Sun, Junichi Tsujii, Eric I-Chao Chang

J. Am. Medical Informatics Assoc., 2012

Unsupervised object class discovery via saliency-guided multiple class learning.

Jun-Yan Zhu, Jiajun Wu, Yichen Wei, Eric I-Chao Chang, Zhuowen Tu

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012