Jiajun Wu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
206
Venues
32
Active years
2012–2026
Best venue rank
A*
Where they publish
- A*CVPR52 papers
- A*ICLR27 papers
- UnrankedCoRL23 papers
- A*ICCV14 papers
- A*ECCV13 papers
- A*ICRA12 papers
- A*AAAI9 papers
- A*ICML7 papers
- BCogSci7 papers
- A*ACL6 papers
- AIROS5 papers
- CAPWEB3 papers
- A*IJCAI3 papers
- A*SIGGRAPH2 papers
- AWACV2 papers
- NationalFCCM2 papers
- CISCAS2 papers
- AUAI2 papers
- ABMVC2 papers
- ACIKM1 paper
- CIECON1 paper
- BSMC1 paper
- CAIES1 paper
- BGLOBECOM1 paper
- BVTC1 paper
- A*SiggraphA1 paper
- CADMA1 paper
- BSCA1 paper
- CICMV1 paper
- CAPCC1 paper
- A*UIST1 paper
- BPIMRC1 paper
Papers
206 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | LLMC+: Benchmarking Vision-Language Model Compression with a plug-and-play Toolkit. | Chengtao Lv, Bilang Zhang, Yang Yong, Ruihao Gong, Yushi Huang, Shiqiao Gu, Jiajun Wu, Yumeng Shi, Jinyang Guo, Wenya Wang |
| 2026 | AAAI | 10 Open Challenges Steering the Future of Vision-Language-Action Models. | Soujanya Poria, Navonil Majumder, Chia-Yu Hung, Amir Ali Bagherzadeh, Chuan Li, Kenneth Kwok, Ziwei Wang, Cheston Tan, Jiajun Wu, David Hsu |
| 2026 | AAAI | Discovering Hybrid World Representations with Co-Evolving Foundation Models. | Jiajun Wu, Yunzhi Zhang, Hong-Xing Yu, Joy Hsu, Jiayuan Mao |
| 2026 | ACL | OMIBench: Benchmarking Olympiad-Level Multi-Image Reasoning in Large Vision-Language Models. | Qiguang Chen, Chengyu Luan, Jiajun Wu, Qiming Yu, Yi Yang, Yizhuo Li, Jingqi Tong, Xiachong Feng, Libo Qin, Wanxiang Che |
| 2026 | ACL | UCoder: Unsupervised Code Generation by Internal Probing of Large Language Models. | Jiajun Wu, Jian Yang, Wei Zhang, Linzheng Chai, Yuchi Ma, Ensheng Shi, Yuqing Ma, Zhoujun Li, Xianglong Liu |
| 2026 | ACL | LoopCoder: Scaling Code Intelligence via Looped Language Models. | Jian Yang, Wei Zhang, Shuyue Guo, Yizhi LI, Linzheng Chai, Zhengmao Ye, Shukai Liu, Yuyang Song, Jiajun Wu, Che Liu, Tianyu Zheng, Siwei Wu, Leo L, Xudong Ma, Chuan Hao, Ran Tao, Yan Xing, Jianzhou Wang, Mingjie Tang, Aishan Liu, Zhoujun Li, Xianglong Liu, Weifeng Lv, Bryan Dai |
| 2026 | ACL | V-GameGym: Visual Game Generation for Code Large Language Models. | Wei Zhang, Jian Yang, Renshuai Tao, Linzheng Chai, Shuyue Guo, Jiajun Wu, Xiaoming Chen, Ganqu Cui, Ning Ding, Xander Xu, H. U. Wei, Bowen Zhou |
| 2026 | ACL | EvoHyper: Evolving Hypergraph Topologies for Unified Collaboration in Multi-Agent Communication. | Heng Zhang, Yihao Zhong, Lubin Gan, Zhihe Chen, Jiajun Wu, Yuling Shi, Xiaodong Gu, Hao Zhang, Haochen You, Jin Huang |
| 2025 | AAAI | HVAdam: A Full-Dimension Adaptive Optimizer. | Yiheng Zhang, Shaowu Wu, Yuanzhuo Xu, Jiajun Wu, Shang Xu, Steve Drew, Xiaoguang Niu |
| 2025 | CIKM | VocQuiz: Vocabulary Question Generation for English Language Education. | Yongqi Li, Jiajun Wu, Shangqing Tu, Jifan Yu, Huiqin Liu, Lei Hou, Juanzi Li |
| 2025 | CVPR | Birth and Death of a Rose. | Chen Geng, Yunzhi Zhang, Shangzhe Wu, Jiajun Wu |
| 2025 | CVPR | Diffusion Self-Distillation for Zero-Shot Customized Image Generation. | Shengqu Cai, Eric Ryan Chan, Yunzhi Zhang, Leonidas J. Guibas, Jiajun Wu, Gordon Wetzstein |
| 2025 | CVPR | Digital Twin Catalog: A Large-Scale Photorealistic 3D Object Digital Twin Dataset. | Zhao Dong, Ka Chen, Zhaoyang Lv, Hong-Xing Yu, Yunzhi Zhang, Cheng Zhang, Yufeng Zhu, Stephen Tian, Zhengqin Li, Geordie Moffatt, Sean Christofferson, James Fort, Xiaqing Pan, Mingfei Yan, Jiajun Wu, Carl Yuheng Ren, Richard A. Newcombe |
| 2025 | CVPR | FluidNexus: 3D Fluid Reconstruction and Prediction from a Single Video. | Yue Gao, Hong-Xing Yu, Bo Zhu, Jiajun Wu |
| 2025 | CVPR | PGC: Physics-Based Gaussian Cloth from a Single Pose. | Michelle Guo, Matt Jen-Yuan Chiang, Igor Santesteban, Nikolaos Sarafianos, Hsiao-Yu Chen, Oshri Halimi, Aljaz Bozic, Shunsuke Saito, Jiajun Wu, C. Karen Liu, Tuur Stuyck, Egor Larionov |
| 2025 | CVPR | Category-Agnostic Neural Object Rigging. | Guangzhao He, Chen Geng, Shangzhe Wu, Jiajun Wu |
| 2025 | CVPR | Lifting Motion to the 3D World via 2D Diffusion. | Jiaman Li, C. Karen Liu, Jiajun Wu |
| 2025 | CVPR | LayoutVLM: Differentiable Optimization of 3D Layout via Vision-Language Models. | Fan-Yun Sun, Weiyu Liu, Siyi Gu, Dylan Lim, Goutam Bhat, Federico Tombari, Manling Li, Nick Haber, Jiajun Wu |
| 2025 | CVPR | Re-thinking Temporal Search for Long-Form Video Understanding. | Jinhui Ye, Zihan Wang, Haosen Sun, Keshigeyan Chandrasegaran, Zane Durante, Cristbal Eyzaguirre, Yonatan Bisk, Juan Carlos Niebles, Ehsan Adeli, Li Fei-Fei, Jiajun Wu, Manling Li |
| 2025 | CVPR | WonderWorld: Interactive 3D Scene Generation from a Single Image. | Hong-Xing Yu, Haoyi Duan, Charles Herrmann, William T. Freeman, Jiajun Wu |
| 2025 | CVPR | The Scene Language: Representing Scenes with Programs, Words, and Embeddings. | Yunzhi Zhang, Zizhang Li, Matt Zhou, Shangzhe Wu, Jiajun Wu |
| 2025 | ICCV | X-Capture: An Open-Source Portable Device for Multi-Sensory Learning. | Samuel Clarke, Suzannah Wistreich, Yanjie Ze, Jiajun Wu |
| 2025 | ICCV | WorldScore: A Unified Evaluation Benchmark for World Generation. | Haoyi Duan, Hong-Xing Yu, Sirui Chen, Li Fei-Fei, Jiajun Wu |
| 2025 | ICCV | Wonderplay: Dynamic 3D Scene Generation From a Single Image and Actions. | Zizhang Li, Hong-Xing Yu, Wei Liu, Yin Yang, Charles Herrmann, Gordon Wetzstein, Jiajun Wu |
| 2025 | ICCV | Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization. | Kyle Sargent, Kyle Hsu, Justin Johnson, Li Fei-Fei, Jiajun Wu |
| 2025 | ICCV | Weakly-Supervised Learning of Dense Functional Correspondences. | Stefan Stojanov, Linan Zhao, Yunzhi Zhang, Daniel L. K. Yamins, Jiajun Wu |
| 2025 | ICLR | Range, not Independence, Drives Modularity in Biologically Inspired Representations. | Will Dorrell, Kyle Hsu, Luke Hollingsworth, Jin Hwa Lee, Jiajun Wu, Chelsea Finn, Peter E. Latham, Timothy Edward John Behrens, James C. R. Whittington |
| 2025 | ICLR | What Makes a Maze Look Like a Maze? | Joy Hsu, Jiayuan Mao, Joshua B. Tenenbaum, Noah D. Goodman, Jiajun Wu |
| 2025 | ICLR | Predicate Hierarchies Improve Few-Shot State Classification. | Emily Jin, Joy Hsu, Jiajun Wu |
| 2025 | ICML | Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas. | Shiqi Chen, Tongyao Zhu, Ruochen Zhou, Jinghan Zhang, Siyang Gao, Juan Carlos Niebles, Mor Geva, Junxian He, Jiajun Wu, Manling Li |
| 2025 | ICML | Understanding Complexity in VideoQA via Visual Program Generation. | Cristbal Eyzaguirre, Igor Vasiljevic, Achal Dave, Jiajun Wu, Rares Andrei Ambrus, Thomas Kollar, Juan Carlos Niebles, Pavel Tokmakov |
| 2025 | IROS | Learning Smooth Humanoid Locomotion through Lipschitz-Constrained Policies. | Zixuan Chen, Xialin He, Yen-Jen Wang, Qiayuan Liao, Yanjie Ze, Zhongyu Li, S. Shankar Sastry, Jiajun Wu, Koushil Sreenath, Saurabh Gupta, Xue Bin Peng |
| 2025 | IROS | Generalizable Humanoid Manipulation with 3D Diffusion Policies. | Yanjie Ze, Zixuan Chen, Wenhao Wang, Tianyi Chen, Xialin He, Ying Yuan, Xue Bin Peng, Jiajun Wu |
| 2025 | ICRA | UAD: Unsupervised Affordance Distillation for Generalization in Robotic Manipulation. | Yihe Tang, Wenlong Huang, Yingke Wang, Chengshu Li, Roy Yuan, Ruohan Zhang, Jiajun Wu, Li Fei-Fei |
| 2025 | IECON | Wide- Input-Range Constant Voltage Control Strategy for WPT System Using APWM-Modulated Full-Bridge/Half-Bridge Operation. | Jiajun Wu, Muxing Wu, Io-Wa Iam, Chi-Fong Ieong, Chi-Seng Lam |
| 2025 | SMC | Performance Evaluation of the CLIP Model in Classification Tasks. | Yuxin Gao, Baosheng Qin, Fenglian Chen, Xiaohan Huang, Jiajun Wu, Yihang Wu, Ahmad Chaddad |
| 2025 | SIGGRAPH | Anymate: A Dataset and Baselines for Learning 3D Object Rigging. | Yufan Deng, Yuhao Zhang, Chen Geng, Shangzhe Wu, Jiajun Wu |
| 2025 | WACV | CRAFT: Designing Creative and Functional 3D Objects. | Michelle Guo, Mia Tang, Hannah Cha, Ruohan Zhang, C. Karen Liu, Jiajun Wu |
| 2024 | AAAI | CityPulse: Fine-Grained Assessment of Urban Change with Street View Time Series. | Tianyuan Huang, Zejia Wu, Jiajun Wu, Jackelyn Hwang, Ram Rajagopal |
| 2024 | AAAI | SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing. | Zhecheng Wang, Rajanie Prabha, Tianyuan Huang, Jiajun Wu, Ram Rajagopal |
| 2024 | AIES | Enhancing Equitable Access to AI in Housing and Homelessness System of Care through Federated Learning. | Musa Taib, Jiajun Wu, Steve Drew, Geoffrey G. Messier |
| 2024 | CogSci | Whodunnit? Inferring what happened from multimodal evidence. | Sarah A. Wu, Erik Brockbank, Hannah Cha, Jan-Philipp Frnken, Emily Jin, Zhuoyi Huang, Weiyu Liu, Ruohan Zhang, Jiajun Wu, Tobias Gerstenberg |
| 2024 | CoRL | TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction. | Yunfan Jiang, Chen Wang, Ruohan Zhang, Jiajun Wu, Li Fei-Fei |
| 2024 | CoRL | Automated Creation of Digital Cousins for Robust Policy Learning. | Tianyuan Dai, Josiah Wong, Yunfan Jiang, Chen Wang, Cem Gokmen, Ruohan Zhang, Jiajun Wu, Li Fei-Fei |
| 2024 | CoRL | Evaluating Real-World Robot Manipulation Policies in Simulation. | Xuanlin Li, Kyle Hsu, Jiayuan Gu, Oier Mees, Karl Pertsch, Homer Rich Walke, Chuyuan Fu, Ishikaa Lunawat, Isabel Sieh, Sean Kirmani, Sergey Levine, Jiajun Wu, Chelsea Finn, Hao Su, Quan Vuong, Ted Xiao |
| 2024 | CoRL | Learning Compositional Behaviors from Demonstration and Language. | Weiyu Liu, Neil Nie, Ruohan Zhang, Jiayuan Mao, Jiajun Wu |
| 2024 | CoRL | View-Invariant Policy Learning via Zero-Shot Novel View Synthesis. | Stephen Tian, Blake Wulfe, Kyle Sargent, Katherine Liu, Sergey Zakharov, Vitor Campagnolo Guizilini, Jiajun Wu |
| 2024 | CoRL | D | Yixuan Wang, Mingtong Zhang, Zhuoran Li, Tarik Kelestemur, Katherine Rose Driggs-Campbell, Jiajun Wu, Li Fei-Fei, Yunzhu Li |
| 2024 | CVPR | Naturally Supervised 3D Visual Grounding with Language-Regularized Concept Learners. | Chun Feng, Joy Hsu, Weiyu Liu, Jiajun Wu |
| 2024 | CVPR | BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. | Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gokmen, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K. Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martn-Martn, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu |
| 2024 | CVPR | 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 |
| 2024 | CVPR | ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single 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 |
| 2024 | CVPR | Hearing Anything Anywhere. | Mason Long Wang, Ryosuke Sawata, Samuel Clarke, Ruohan Gao, Shangzhe Wu, Jiajun Wu |
| 2024 | CVPR | ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding. | Le Xue, Ning Yu, Shu Zhang, Artemis Panagopoulou, Junnan Li, Roberto Martn-Martn, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese |
| 2024 | CVPR | 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 |
| 2024 | CVPR | 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 |
| 2024 | ECCV | Controllable Human-Object Interaction Synthesis. | Jiaman Li, Alexander Clegg, Roozbeh Mottaghi, Jiajun Wu, Xavier Puig, C. Karen Liu |
| 2024 | ECCV | Ponymation: Learning Articulated 3D Animal Motions from Unlabeled Online Videos. | Keqiang Sun, Dor Litvak, Yunzhi Zhang, Hongsheng Li, Jiajun Wu, Shangzhe Wu |
| 2024 | ECCV | 3D Congealing: 3D-Aware Image Alignment in the Wild. | Yunzhi Zhang, Zizhang Li, Amit Raj, Andreas Engelhardt, Yuanzhen Li, Tingbo Hou, Jiajun Wu, Varun Jampani |
| 2024 | ECCV | PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation. | Tianyuan Zhang, Hong-Xing Yu, Rundi Wu, Brandon Y. Feng, Changxi Zheng, Noah Snavely, Jiajun Wu, William T. Freeman |
| 2024 | ECCV | Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians. | Licheng Zhong, Hong-Xing Yu, Jiajun Wu, Yunzhu Li |
| 2024 | ICLR | Neural Polynomial Gabor Fields for Macro Motion Analysis. | Chen Geng, Hong-Xing Yu, Sida Peng, Xiaowei Zhou, Jiajun Wu |
| 2024 | ICLR | Patched Denoising Diffusion Models For High-Resolution Image Synthesis. | Zheng Ding, Mengqi Zhang, Jiajun Wu, Zhuowen Tu |
| 2024 | ICLR | Language-Informed Visual Concept Learning. | Sharon Lee, Yunzhi Zhang, Shangzhe Wu, Jiajun Wu |
| 2024 | ICLR | Learning Planning Abstractions from Language. | Weiyu Liu, Geng Chen, Joy Hsu, Jiayuan Mao, Jiajun Wu |
| 2024 | ICML | Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning. | Kyle Hsu, Jubayer Ibn Hamid, Kaylee Burns, Chelsea Finn, Jiajun Wu |
| 2024 | ICRA | Physically Grounded Vision-Language Models for Robotic Manipulation. | Jensen Gao, Bidipta Sarkar, Fei Xia, Ted Xiao, Jiajun Wu, Brian Ichter, Anirudha Majumdar, Dorsa Sadigh |
| 2024 | ICRA | Learning to Design 3D Printable Adaptations on Everyday Objects for Robot Manipulation. | Michelle Guo, Ziang Liu, Stephen Tian, Zhaoming Xie, Jiajun Wu, C. Karen Liu |
| 2024 | ICRA | Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. | Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schlkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Bchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey T. Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, Joo Silvrio, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Snderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martn-Martn, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante-Gomez, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin |
| 2024 | SIGGRAPH | DiffSound: Differentiable Modal Sound Rendering and Inverse Rendering for Diverse Inference Tasks. | Xutong Jin, Chenxi Xu, Ruohan Gao, Jiajun Wu, Guoping Wang, Sheng Li |
| 2023 | AAAI | Learning Rational Subgoals from Demonstrations and Instructions. | Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Toms Lozano-Prez, Joshua B. Tenenbaum, Leslie Pack Kaelbling |
| 2023 | AAAI | Learning to See the Physical World. | Jiajun Wu |
| 2023 | CogSci | Quantifying the Effect of Visual Impairments on Daily Activities in Virtual, Interactive Environments. | Wensi Ai, Sharon Lee, Li Fei-Fei, Jiajun Wu, Ruohan Zhang |
| 2023 | CogSci | Intuitions about physical scenes and objects in Virtual Reality (VR). | Peter Zhu, Kanishk Gandhi, Yixing Wang, Steven Le, Jiajun Wu, Hyowon Gweon |
| 2023 | CoRL | Learning to Design and Use Tools for Robotic Manipulation. | Ziang Liu, Stephen Tian, Michelle Guo, C. Karen Liu, Jiajun Wu |
| 2023 | CoRL | VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models. | Wenlong Huang, Chen Wang, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Li Fei-Fei |
| 2023 | CoRL | Composable Part-Based Manipulation. | Weiyu Liu, Jiayuan Mao, Joy Hsu, Tucker Hermans, Animesh Garg, Jiajun Wu |
| 2023 | CoRL | RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools. | Haochen Shi, Huazhe Xu, Samuel Clarke, Yunzhu Li, Jiajun Wu |
| 2023 | CoRL | Learning Sequential Acquisition Policies for Robot-Assisted Feeding. | Priya Sundaresan, Jiajun Wu, Dorsa Sadigh |
| 2023 | CoRL | Compositional Diffusion-Based Continuous Constraint Solvers. | Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2023 | CoRL | 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 |
| 2023 | CVPR | CIRCLE: Capture In Rich Contextual Environments. | Joo Pedro Arajo, Jiaman Li, Karthik Vetrivel, Rishi Agarwal, Jiajun Wu, Deepak Gopinath, Alexander Clegg, C. Karen Liu |
| 2023 | CVPR | REALIMPACT: A Dataset of Impact Sound Fields for Real Objects. | Samuel Clarke, Ruohan Gao, Mason L. Wang, Mark Rau, Julia Xu, Jui-Hsien Wang, Doug L. James, Jiajun Wu |
| 2023 | CVPR | 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 |
| 2023 | CVPR | NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations. | Joy Hsu, Jiayuan Mao, Jiajun Wu |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Ego-Body Pose Estimation via Ego-Head Pose Estimation. | Jiaman Li, C. Karen Liu, Jiajun Wu |
| 2023 | CVPR | 3D Neural Field Generation Using Triplane Diffusion. | J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, Gordon Wetzstein |
| 2023 | CVPR | 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 |
| 2023 | CVPR | 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 |
| 2023 | CVPR | ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding. | Le Xue, Mingfei Gao, Chen Xing, Roberto Martn-Martn, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese |
| 2023 | CVPR | Accidental Light Probes. | Hong-Xing Yu, Samir Agarwala, Charles Herrmann, Richard Szeliski, Noah Snavely, Jiajun Wu, Deqing Sun |
| 2023 | CVPR | Seeing a Rose in Five Thousand Ways. | Yunzhi Zhang, Shangzhe Wu, Noah Snavely, Jiajun Wu |
| 2023 | FCCM | MSD: Mixing Signed Digit Representations for Hardware-efficient DNN Acceleration on FPGA with Heterogeneous Resources. | Jiajun Wu, Jiajun Zhou, Yizhao Gao, Yuhao Ding, Ngai Wong, Hayden Kwok-Hay So |
| 2023 | FCCM | Model-Platform Optimized Deep Neural Network Accelerator Generation through Mixed-Integer Geometric Programming. | Yuhao Ding, Jiajun Wu, Yizhao Gao, Maolin Wang, Hayden Kwok-Hay So |
| 2023 | GLOBECOM | Learning Precoding Policy with Inductive Biases: Graph Neural Networks or Meta-Learning? | Baichuan Zhao, Yang Ma, Jiajun Wu, Chenyang Yang |
| 2023 | ICCV | Tree-Structured Shading Decomposition. | Chen Geng, Hong-Xing Yu, Sharon Zhang, Maneesh Agrawala, Jiajun Wu |
| 2023 | ICCV | VQ3D: Learning a 3D-Aware Generative Model on ImageNet. | Kyle Sargent, Jing Yu Koh, Han Zhang, Huiwen Chang, Charles Herrmann, Pratul P. Srinivasan, Jiajun Wu, Deqing Sun |
| 2023 | ICCV | Rendering Humans from Object-Occluded Monocular Videos. | Tiange Xiang, Adam Sun, Jiajun Wu, Ehsan Adeli, Li Fei-Fei |
| 2023 | ICLR | Learning Vortex Dynamics for Fluid Inference and Prediction. | Yitong Deng, Hong-Xing Yu, Jiajun Wu, Bo Zhu |
| 2023 | ICLR | MaskViT: Masked Visual Pre-Training for Video Prediction. | Agrim Gupta, Stephen Tian, Yunzhi Zhang, Jiajun Wu, Roberto Martn-Martn, Li Fei-Fei |
| 2023 | ICLR | An Extensible Multi-modal Multi-task Object Dataset with Materials. | Trevor Scott Standley, Ruohan Gao, Dawn Chen, Jiajun Wu, Silvio Savarese |
| 2023 | ICLR | A Control-Centric Benchmark for Video Prediction. | Stephen Tian, Chelsea Finn, Jiajun Wu |
| 2023 | ICLR | Programmatically Grounded, Compositionally Generalizable Robotic Manipulation. | Renhao Wang, Jiayuan Mao, Joy Hsu, Hang Zhao, Jiajun Wu, Yang Gao |
| 2023 | ICML | Motion Question Answering via Modular Motion Programs. | Mark Endo, Joy Hsu, Jiaman Li, Jiajun Wu |
| 2023 | ICML | 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 Martn-Martn |
| 2023 | ICRA | STAP: Sequencing Task-Agnostic Policies. | Christopher Agia, Toki Migimatsu, Jiajun Wu, Jeannette Bohg |
| 2023 | ICRA | 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 |
| 2023 | ICRA | Task-Driven Graph Attention for Hierarchical Relational Object Navigation. | Michael Lingelbach, Chengshu Li, Minjune Hwang, Andrey Kurenkov, Alan Lou, Roberto Martn-Martn, Ruohan Zhang, Li Fei-Fei, Jiajun Wu |
| 2023 | IROS | Primitive Skill-Based Robot Learning from Human Evaluative Feedback. | Ayano Hiranaka, Minjune Hwang, Sharon Lee, Chen Wang, Li Fei-Fei, Jiajun Wu, Ruohan Zhang |
| 2023 | VTC | Proactive Hybrid Precoding for Time-varying mmWave Channel with Deep Learning. | Ruiming Wang, Jiajun Wu, Chenyang Yang |
| 2023 | WACV | Physically Plausible Animation of Human Upper Body from a Single Image. | Ziyuan Huang, Zhengping Zhou, Yung-Yu Chuang, Jiajun Wu, C. Karen Liu |
| 2022 | APWEB | Graph-Based Sequential Interpolation Recommender for Cold-Start Users. | Aoran Li, Jiajun Wu, Shuai Xu, Yalei Zang, Yi Liu, Jiayi Lu, Yanchao Zhao, Gaoxu Wang, Qing Meng, Xiaoming Fu |
| 2022 | APWEB | Multi-Information-Enhanced Knowledge Embedding in Hyperbolic Space. | Jiajun Wu, Qian Zhou, Yuxuan Xiang, Tianlun Dai, Hua Dai, Hao Wen, Qun Yang |
| 2022 | APWEB | Reasoning Path Generation for Answering Multi-hop Questions Over Knowledge Graph. | Yuxuan Xiang, Jiajun Wu, Tiexin Wang, Meng Wang, Tianlun Dai, Gaoxu Wang, Shidong Xu, Jing Li |
| 2022 | CoRL | 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 Martn-Martn, 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 |
| 2022 | CoRL | 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 |
| 2022 | CoRL | A Dual Representation Framework for Robot Learning with Human Guidance. | Ruohan Zhang, Dhruva Bansal, Yilun Hao, Ayano Hiranaka, Jialu Gao, Chen Wang, Roberto Martn-Martn, Li Fei-Fei, Jiajun Wu |
| 2022 | CVPR | Revisiting the "Video" in Video-Language Understanding. | Shyamal Buch, Cristbal Eyzaguirre, Adrien Gaidon, Jiajun Wu, Li Fei-Fei, Juan Carlos Niebles |
| 2022 | CVPR | 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 |
| 2022 | CVPR | Programmatic Concept Learning for Human Motion Description and Synthesis. | Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu |
| 2022 | CVPR | Rotationally Equivariant 3D Object Detection. | Hong-Xing Yu, Jiajun Wu, Li Yi |
| 2022 | ECCV | Unsupervised Segmentation in Real-World Images via Spelke Object Inference. | Honglin Chen, Rahul Mysore Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear |
| 2022 | ECCV | Translating a Visual LEGO Manual to a Machine-Executable Plan. | Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Chin-Yi Cheng, Jiajun Wu |
| 2022 | ECCV | Video Extrapolation in Space and Time. | Yunzhi Zhang, Jiajun Wu |
| 2022 | ICLR | Vision-Based Manipulators Need to Also See from Their Hands. | Kyle Hsu, Moo Jin Kim, Rafael Rafailov, Jiajun Wu, Chelsea Finn |
| 2022 | ICLR | 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 |
| 2022 | ICLR | Unsupervised Discovery of Object Radiance Fields. | Hong-Xing Yu, Leonidas J. Guibas, Jiajun Wu |
| 2022 | ISCAS | Energy-Efficient Intelligent Pulmonary Auscultation for Post COVID-19 Era Wearable Monitoring Enabled by Two-Stage Hybrid Neural Network. | Bingqiang Liu, Ziyuan Wen, Hongling Zhu, Jinsheng Lai, Jiajun Wu, Heng Ping, Wenqing Liu, Guoyi Yu, Jianmin Zhang, Zuozhu Liu, Hesong Zeng, Chao Wang |
| 2022 | SiggraphA | Scene Synthesis from Human Motion. | Sifan Ye, Yixing Wang, Jiaman Li, Dennis Park, C. Karen Liu, Huazhe Xu, Jiajun Wu |
| 2021 | AAAI | Augmenting Policy Learning with Routines Discovered from a Single Demonstration. | Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum |
| 2021 | ACL | Language-Mediated, Object-Centric Representation Learning. | Ruocheng Wang, Jiayuan Mao, Samuel Gershman, Jiajun Wu |
| 2021 | ADMA | Text-Enhanced Knowledge Graph Representation Model in Hyperbolic Space. | Jiajun Wu, Bohan Li, Ye Ji, Jiaying Tian, Yuxuan Xiang |
| 2021 | CoRL | iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks. | Chengshu Li, Fei Xia, Roberto Martn-Martn, 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 |
| 2021 | CoRL | DiffImpact: Differentiable Rendering and Identification of Impact Sounds. | Samuel Clarke, Negin Heravi, Mark Rau, Ruohan Gao, Jiajun Wu, Doug L. James, Jeannette Bohg |
| 2021 | CoRL | ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations. | Ruohan Gao, Yen-Yu Chang, Shivani Mall, Li Fei-Fei, Jiajun Wu |
| 2021 | CoRL | BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments. | Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martn-Martn, Fei Xia, Kent Elliott Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei |
| 2021 | CoRL | Single-Shot Scene Reconstruction. | Sergey Zakharov, Rares Andrei Ambrus, Vitor Guizilini, Dennis Park, Wadim Kehl, Frdo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon |
| 2021 | CVPR | Pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis. | Eric R. Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, Gordon Wetzstein |
| 2021 | CVPR | KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. | Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa |
| 2021 | CVPR | Hierarchical Motion Understanding via Motion Programs. | Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu |
| 2021 | CVPR | Repopulating Street Scenes. | Yifan Wang, Andrew Liu, Richard Tucker, Jiajun Wu, Brian L. Curless, Steven M. Seitz, Noah Snavely |
| 2021 | CVPR | De-Rendering the World's Revolutionary Artefacts. | Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa |
| 2021 | ICCV | Neural Radiance Flow for 4D View Synthesis and Video Processing. | Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum, Jiajun Wu |
| 2021 | ICCV | Learning Temporal Dynamics from Cycles in Narrated Video. | Dave Epstein, Jiajun Wu, Cordelia Schmid, Chen Sun |
| 2021 | ICCV | 3D Shape Generation and Completion through Point-Voxel Diffusion. | Linqi Zhou, Yilun Du, Jiajun Wu |
| 2021 | ICLR | 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 |
| 2021 | ICLR | Unsupervised Discovery of 3D Physical Objects from Video. | Yilun Du, Kevin A. Smith, Tomer D. Ullman, Joshua B. Tenenbaum, Jiajun Wu |
| 2021 | IJCAI | Temporal and Object Quantification Networks. | Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman |
| 2021 | UAI | 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 |
| 2021 | SCA | 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 |
| 2020 | CogSci | 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 |
| 2020 | CoRL | Learning 3D Dynamic Scene Representations for Robot Manipulation. | Zhenjia Xu, Zhanpeng He, Jiajun Wu, Shuran Song |
| 2020 | CVPR | Perspective Plane Program Induction From a Single Image. | Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu |
| 2020 | CVPR | End-to-End Optimization of Scene Layout. | Andrew Luo, Zhoutong Zhang, Jiajun Wu, Joshua B. Tenenbaum |
| 2020 | CVPR | Probabilistic Video Prediction From Noisy Data With a Posterior Confidence. | Yunbo Wang, Jiajun Wu, Mingsheng Long, Joshua B. Tenenbaum |
| 2020 | ICLR | Learning Compositional Koopman Operators for Model-Based Control. | Yunzhu Li, Hao He, Jiajun Wu, Dina Katabi, Antonio Torralba |
| 2020 | ICLR | CLEVRER: Collision Events for Video Representation and Reasoning. | Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum |
| 2020 | ICLR | Deep Audio Priors Emerge From Harmonic Convolutional Networks. | Zhoutong Zhang, Yunyun Wang, Chuang Gan, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman |
| 2020 | ICML | Visual Grounding of Learned Physical Models. | Yunzhu Li, Toru Lin, Kexin Yi, Daniel Bear, Daniel Yamins, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba |
| 2020 | ICMV | Weak anomaly-reinforced autoencoder for unsupervised anomaly detection. | Xinqiang Chen, Lumei Su, Jiajun Wu |
| 2020 | IJCAI | 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 |
| 2020 | ICRA | Look, Listen, and Act: Towards Audio-Visual Embodied Navigation. | Chuang Gan, Yiwei Zhang, Jiajun Wu, Boqing Gong, Joshua B. Tenenbaum |
| 2020 | ICRA | Accurate Vision-based Manipulation through Contact Reasoning. | Alina Kloss, Maria Bauz, Jiajun Wu, Joshua B. Tenenbaum, Alberto Rodriguez, Jeannette Bohg |
| 2020 | ISCAS | A Three-Level Scoring System for Fast Similarity Evaluation Based on Smith-Waterman Algorithm. | Yujie Zhang, Jiajun Wu, Minghao Li, Jun Lin, Zhongfeng Wang |
| 2019 | APCC | Why Simple Models Perform Well in Predicting Popularity for Caching? | Jiajun Wu, Chenyang Yang |
| 2019 | CogSci | Real-time inference of physical properties in dynamic scenes. | Kevin Smith, Mario Belledonne, Ilker Yildirim, Jiajun Wu, Josh Tenenbaum |
| 2019 | CoRL | 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 |
| 2019 | ICCV | Program-Guided Image Manipulators. | Xiuming Zhang, Jiayuan Mao, Yikai Li, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu |
| 2019 | ICLR | Reasoning About Physical Interactions with Object-Oriented Prediction and Planning. | Michael Janner, Sergey Levine, William T. Freeman, Joshua B. Tenenbaum, Chelsea Finn, Jiajun Wu |
| 2019 | ICLR | Learning to Describe Scenes with Programs. | Yunchao Liu, Zheng Wu, Daniel Ritchie, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu |
| 2019 | ICLR | Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids. | Yunzhu Li, Jiajun Wu, Russ Tedrake, Joshua B. Tenenbaum, Antonio Torralba |
| 2019 | ICLR | The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision. | Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu |
| 2019 | ICLR | Stochastic Prediction of Multi-Agent Interactions from Partial Observations. | Chen Sun, Per Karlsson, Jiajun Wu, Joshua B. Tenenbaum, Kevin Murphy |
| 2019 | ICLR | Learning to Infer and Execute 3D Shape Programs. | Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu |
| 2019 | ICLR | Unsupervised Discovery of Parts, Structure, and Dynamics. | Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu |
| 2019 | ICML | Neurally-Guided Structure Inference. | Sidi Lu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu |
| 2019 | ICRA | Combining Physical Simulators and Object-Based Networks for Control. | Anurag Ajay, Maria Bauz, Jiajun Wu, Nima Fazeli, Joshua B. Tenenbaum, Alberto Rodriguez, Leslie Pack Kaelbling |
| 2019 | ICRA | 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 |
| 2019 | ICRA | Propagation Networks for Model-Based Control Under Partial Observation. | Yunzhu Li, Jiajun Wu, Jun-Yan Zhu, Joshua B. Tenenbaum, Antonio Torralba, Russ Tedrake |
| 2018 | CVPR | Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification. | Xiang Long, Chuang Gan, Gerard de Melo, Jiajun Wu, Xiao Liu, Shilei Wen |
| 2018 | CVPR | 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 |
| 2018 | CVPR | Inverting Audio-Visual Simulation for Shape and Material Perception. | Zhoutong Zhang, Jiajun Wu, Qiujia Li, Zhengjia Huang, Joshua B. Tenenbaum, William T. Freeman |
| 2018 | ECCV | Physical Primitive Decomposition. | Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu |
| 2018 | ECCV | Learning Shape Priors for Single-View 3D Completion And Reconstruction. | Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T. Freeman, Joshua B. Tenenbaum |
| 2018 | ECCV | Seeing Tree Structure from Vibration. | Tianfan Xue, Jiajun Wu, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman |
| 2018 | IROS | Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing. | Anurag Ajay, Jiajun Wu, Nima Fazeli, Maria Bauz, Leslie Pack Kaelbling, Joshua B. Tenenbaum, Alberto Rodriguez |
| 2018 | IROS | 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 |
| 2018 | UAI | Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks. | David Zheng, Vinson Luo, Jiajun Wu, Joshua B. Tenenbaum |
| 2018 | UIST | MoSculp: Interactive Visualization of Shape and Time. | Xiuming Zhang, Tali Dekel, Tianfan Xue, Andrew Owens, Qiurui He, Jiajun Wu, Stefanie Mueller, William T. Freeman |
| 2017 | CVPR | Neural Scene De-rendering. | Jiajun Wu, Joshua B. Tenenbaum, Pushmeet Kohli |
| 2017 | CVPR | 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 |
| 2017 | ICCV | Raster-to-Vector: Revisiting Floorplan Transformation. | Chen Liu, Jiajun Wu, Pushmeet Kohli, Yasutaka Furukawa |
| 2017 | ICCV | 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 |
| 2017 | IJCAI | Cake Cutting: Envy and Truth. | Xiaohui Bei, Ning Chen, Guangda Huzhang, Biaoshuai Tao, Jiajun Wu |
| 2017 | PIMRC | Caching and bandwidth allocation policy optimization in heterogeneous networks. | Jiajun Wu, Binqiang Chen, Chenyang Yang, Qi Li |
| 2016 | BMVC | Physics 101: Learning Physical Object Properties from Unlabeled Videos. | Jiajun Wu, Joseph J. Lim, Hongyi Zhang, Joshua B. Tenenbaum, William T. Freeman |
| 2016 | CogSci | 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 |
| 2016 | ECCV | Single Image 3D Interpreter Network. | Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman |
| 2016 | ECCV | Ambient Sound Provides Supervision for Visual Learning. | Andrew Owens, Jiajun Wu, Josh H. McDermott, William T. Freeman, Antonio Torralba |
| 2015 | CVPR | Deep multiple instance learning for image classification and auto-annotation. | Jiajun Wu, Yinan Yu, Chang Huang, Kai Yu |
| 2014 | BMVC | Reverse Image Segmentation: A High-Level Solution to a Low-Level Task. | Jiajun Wu, Junyan Zhu, Zhuowen Tu |
| 2014 | CogSci | Harvesting Motion Patterns in Still Images from the Internet. | Jiajun Wu, Yining Wang, Zhulin Li, Zhuowen Tu |
| 2014 | CVPR | MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation. | Jiajun Wu, Yibiao Zhao, Jun-Yan Zhu, Siwei Luo, Zhuowen Tu |
| 2013 | CVPR | Harvesting Mid-level Visual Concepts from Large-Scale Internet Images. | Quannan Li, Jiajun Wu, Zhuowen Tu |
| 2012 | CVPR | Unsupervised object class discovery via saliency-guided multiple class learning. | Jun-Yan Zhu, Jiajun Wu, Yichen Wei, Eric I-Chao Chang, Zhuowen Tu |