More from the Same Authors

• 2021 Spotlight: Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation »
  Lin Guan · Mudit Verma · Sihang Guo · Ruohan Zhang · Subbarao Kambhampati
• 2022 : Revisiting Value Alignment Through the Lens of Human-Aware AI »
  Sarath Sreedharan · Subbarao Kambhampati
• 2022 : What Makes Certain Pre-Trained Visual Representations Better for Robotic Learning? »
  Kyle Hsu · Tyler Lum · Ruohan Gao · Shixiang (Shane) Gu · Jiajun Wu · Chelsea Finn
• 2022 : Large Language Models Still Can't Plan (A Benchmark for LLMs on Planning and Reasoning about Change) »
  Karthik Valmeekam · Alberto Olmo · Sarath Sreedharan · Subbarao Kambhampati
• 2022 : A Control-Centric Benchmark for Video Prediction »
  Stephen Tian · Chelsea Finn · Jiajun Wu
• 2022 : What Makes Certain Pre-Trained Visual Representations Better for Robotic Learning? »
  Kyle Hsu · Tyler Lum · Ruohan Gao · Shixiang (Shane) Gu · Jiajun Wu · Chelsea Finn
• 2022 : Giving Robots a Hand: Broadening Generalization via Hand-Centric Human Video Demonstrations »
  Moo J Kim · Jiajun Wu · Chelsea Finn
• 2022 : Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion »
  Utkarsh Soni · Sarath Sreedharan · Mudit Verma · Lin Guan · Matthew Marquez · Subbarao Kambhampati
• 2022 : Advice Conformance Verification by Reinforcement Learning agents for Human-in-the-Loop »
  Mudit Verma · Ayush Kharkwal · Subbarao Kambhampati
• 2022 : Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences »
  Lin Guan · Karthik Valmeekam · Subbarao Kambhampati
• 2023 Poster: Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning »
  Lin Guan · Karthik Valmeekam · Sarath Sreedharan · Subbarao Kambhampati
• 2023 Poster: Model-Based Control with Sparse Neural Dynamics »
  Ziang Liu · Jeff He · Genggeng Zhou · Tobia Marcucci · Fei-Fei Li · Jiajun Wu · Yunzhu Li
• 2023 Poster: Siamese Masked Autoencoders »
  Agrim Gupta · Jiajun Wu · Jia Deng · Fei-Fei Li
• 2023 Poster: What’s Left: Concept Grounding with Large Language Models »
  Joy Hsu · Jiayuan Mao · Josh Tenenbaum · Jiajun Wu
• 2023 Poster: Inferring Hybrid Neural Fluid Fields from Videos »
  Hong-Xing Yu · Yang Zheng · Yuan Gao · Yitong Deng · Bo Zhu · Jiajun Wu
• 2023 Poster: 3D Copy-Paste: Physical Plausible Indoor Object Insertion for Monocular 3D Object Detection »
  Yunhao Ge · Hong-Xing Yu · Cheng Zhao · Yuliang Guo · Xinyu Huang · Liu Ren · Laurent Itti · Jiajun Wu
• 2023 Poster: Paxion: Patching Action Knowledge in Video-Language Foundation Models »
  Zhenhailong Wang · Ansel Blume · Sha Li · Genglin Liu · Jaemin Cho · Zineng Tang · Mohit Bansal · Heng Ji
• 2023 Poster: On the Planning Abilities of Large Language Models - A Critical Investigation »
  Karthik Valmeekam · Matthew Marquez · Sarath Sreedharan · Subbarao Kambhampati
• 2023 Poster: Disentanglement via Latent Quantization »
  Kyle Hsu · William Dorrell · James Whittington · Chelsea Finn · Jiajun Wu
• 2023 Poster: Real-World 3D Object Inverse Rendering Benchmark »
  Zhengfei Kuang · Yunzhi Zhang · Hong-Xing Yu · Samir Agarwala · Shangzhe Wu · Jiajun Wu
• 2023 Poster: Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations »
  Lifan Yuan · Yangyi Chen · Ganqu Cui · Hongcheng Gao · FangYuan Zou · Xingyi Cheng · Heng Ji · Zhiyuan Liu · Maosong Sun
• 2023 Poster: 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
• 2023 Poster: Platonic Distance: Intrinsic Object-Centric Image Similarity »
  Klemen Kotar · Stephen Tian · Hong-Xing Yu · Dan Yamins · Jiajun Wu
• 2023 Poster: SoundCam: A Dataset for Tasks in Tracking and Identifying Humans from Real Room Acoustics »
  Mason Wang · Samuel Clarke · Jui-Hsien Wang · Ruohan Gao · Jiajun Wu
• 2023 Poster: PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change »
  Karthik Valmeekam · Matthew Marquez · Alberto Olmo · Sarath Sreedharan · Subbarao Kambhampati
• 2023 Oral: Siamese Masked Autoencoders »
  Agrim Gupta · Jiajun Wu · Jia Deng · Fei-Fei Li
• 2022 Spotlight: Lightning Talks 5A-3 »
  Minting Pan · Xiang Chen · Wenhan Huang · Can Chang · Zhecheng Yuan · Jianzhun Shao · Yushi Cao · Peihao Chen · Ke Xue · Zhengrong Xue · Zhiqiang Lou · Xiangming Zhu · Lei Li · Zhiming Li · Kai Li · Jiacheng Xu · Dongyu Ji · Ni Mu · Kun Shao · Tianpei Yang · Kunyang Lin · Ningyu Zhang · Yunbo Wang · Lei Yuan · Bo Yuan · Hongchang Zhang · Jiajun Wu · Tianze Zhou · Xueqian Wang · Ling Pan · Yuhang Jiang · Xiaokang Yang · Xiaozhuan Liang · Hao Zhang · Weiwen Hu · Miqing Li · YAN ZHENG · Matthew Taylor · Huazhe Xu · Shumin Deng · Chao Qian · YI WU · Shuncheng He · Wenbing Huang · Chuanqi Tan · Zongzhang Zhang · Yang Gao · Jun Luo · Yi Li · Xiangyang Ji · Thomas Li · Mingkui Tan · Fei Huang · Yang Yu · Huazhe Xu · Dongge Wang · Jianye Hao · Chuang Gan · Yang Liu · Luo Si · Hangyu Mao · Huajun Chen · Jianye Hao · Jun Wang · Xiaotie Deng
• 2022 Spotlight: E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance »
  Can Chang · Ni Mu · Jiajun Wu · Ling Pan · Huazhe Xu
• 2022 Poster: E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance »
  Can Chang · Ni Mu · Jiajun Wu · Ling Pan · Huazhe Xu
• 2022 Poster: CLEVRER-Humans: Describing Physical and Causal Events the Human Way »
  Jiayuan Mao · Xuelin Yang · Xikun Zhang · Noah Goodman · Jiajun Wu
• 2022 Poster: Interaction Modeling with Multiplex Attention »
  Fan-Yun Sun · Isaac Kauvar · Ruohan Zhang · Jiachen Li · Mykel J Kochenderfer · Jiajun Wu · Nick Haber
• 2022 Poster: Geoclidean: Few-Shot Generalization in Euclidean Geometry »
  Joy Hsu · Jiajun Wu · Noah Goodman
• 2022 Poster: Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners »
  Zhenhailong Wang · Manling Li · Ruochen Xu · Luowei Zhou · Jie Lei · Xudong Lin · Shuohang Wang · Ziyi Yang · Chenguang Zhu · Derek Hoiem · Shih-Fu Chang · Mohit Bansal · Heng Ji
• 2022 Poster: 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
• 2022 Poster: IKEA-Manual: Seeing Shape Assembly Step by Step »
  Ruocheng Wang · Yunzhi Zhang · Jiayuan Mao · Ran Zhang · Chin-Yi Cheng · Jiajun Wu
• 2022 Poster: Unsupervised Learning of Shape Programs with Repeatable Implicit Parts »
  Boyang Deng · Sumith Kulal · Zhengyang Dong · Congyue Deng · Yonglong Tian · Jiajun Wu
• 2021 Poster: Grammar-Based Grounded Lexicon Learning »
  Jiayuan Mao · Freda Shi · Jiajun Wu · Roger Levy · Josh Tenenbaum
• 2021 Poster: Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation »
  Lin Guan · Mudit Verma · Sihang Guo · Ruohan Zhang · Subbarao Kambhampati
• 2021 Poster: Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method »
  Yifan Chen · Qi Zeng · Heng Ji · Yun Yang
• 2020 : NLC2CMD Competition Keynote: Tellina »
  Victoria Lin · Mayank Agarwal · Tathagata Chakraborti
• 2020 : Q&A #2 »
  Heng Ji · Jure Leskovec · Jiajun Wu
• 2020 : Invited Talk #6 »
  Jiajun Wu
• 2020 : Invited Talk #5 »
  Heng Ji
• 2020 : Q&A #1 »
  Oren Etzioni · Tim Rocktäschel · Victoria Lin
• 2020 : Invited Talk #2 »
  Victoria Lin
• 2020 : Invited Talk #1 »
  Oren Etzioni
• 2020 Poster: Multi-Plane Program Induction with 3D Box Priors »
  Yikai Li · Jiayuan Mao · Xiuming Zhang · Bill Freeman · Josh Tenenbaum · Noah Snavely · Jiajun Wu
• 2020 Demonstration: A Knowledge Graph Reasoning Prototype »
  Lihui Liu · Boxin Du · Heng Ji · Hanghang Tong
• 2020 Poster: 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 Yamins
• 2020 Oral: 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 Yamins
• 2020 : Neuro-Symbolic Visual Concept Learning »
  Jiajun Wu
• 2019 : Poster Session »
  Ethan Harris · Tom White · Oh Hyeon Choung · Takashi Shinozaki · Dipan Pal · Katherine L. Hermann · Judy Borowski · Camilo Fosco · Chaz Firestone · Vijay Veerabadran · Benjamin Lahner · Chaitanya Ryali · Fenil Doshi · Pulkit Singh · Sharon Zhou · Michel Besserve · Michael Chang · Anelise Newman · Mahesan Niranjan · Jonathon Hare · Daniela Mihai · Marios Savvides · Simon Kornblith · Christina M Funke · Aude Oliva · Virginia de Sa · Dmitry Krotov · Colin Conwell · George Alvarez · Alex Kolchinski · Shengjia Zhao · Mitchell Gordon · Michael Bernstein · Stefano Ermon · Arash Mehrjou · Bernhard Schölkopf · John Co-Reyes · Michael Janner · Jiajun Wu · Josh Tenenbaum · Sergey Levine · Yalda Mohsenzadeh · Zhenglong Zhou
• 2019 Poster: Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations »
  Kevin Smith · Lingjie Mei · Shunyu Yao · Jiajun Wu · Elizabeth Spelke · Josh Tenenbaum · Tomer Ullman
• 2019 Poster: Visual Concept-Metaconcept Learning »
  Chi Han · Jiayuan Mao · Chuang Gan · Josh Tenenbaum · Jiajun Wu
• 2018 Workshop: Modeling the Physical World: Learning, Perception, and Control »
  Jiajun Wu · Kelsey Allen · Kevin Smith · Jessica Hamrick · Emmanuel Dupoux · Marc Toussaint · Josh Tenenbaum
• 2018 Poster: Learning to Reconstruct Shapes from Unseen Classes »
  Xiuming Zhang · Zhoutong Zhang · Chengkai Zhang · Josh Tenenbaum · Bill Freeman · Jiajun Wu
• 2018 Oral: Learning to Reconstruct Shapes from Unseen Classes »
  Xiuming Zhang · Zhoutong Zhang · Chengkai Zhang · Josh Tenenbaum · Bill Freeman · Jiajun Wu
• 2018 Poster: Visual Object Networks: Image Generation with Disentangled 3D Representations »
  Jun-Yan Zhu · Zhoutong Zhang · Chengkai Zhang · Jiajun Wu · Antonio Torralba · Josh Tenenbaum · Bill Freeman
• 2018 Poster: Learning to Exploit Stability for 3D Scene Parsing »
  Yilun Du · Zhijian Liu · Hector Basevi · Ales Leonardis · Bill Freeman · Josh Tenenbaum · Jiajun Wu
• 2018 Poster: Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding »
  Kexin Yi · Jiajun Wu · Chuang Gan · Antonio Torralba · Pushmeet Kohli · Josh Tenenbaum
• 2018 Poster: 3D-Aware Scene Manipulation via Inverse Graphics »
  Shunyu Yao · Tzu Ming Hsu · Jun-Yan Zhu · Jiajun Wu · Antonio Torralba · Bill Freeman · Josh Tenenbaum
• 2018 Spotlight: Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding »
  Kexin Yi · Jiajun Wu · Chuang Gan · Antonio Torralba · Pushmeet Kohli · Josh Tenenbaum
• 2017 Spotlight: Shape and Material from Sound »
  Zhoutong Zhang · Qiujia Li · Zhengjia Huang · Jiajun Wu · Josh Tenenbaum · Bill Freeman
• 2017 Spotlight: Scene Physics Acquisition via Visual De-animation »
  Jiajun Wu · Erika Lu · Pushmeet Kohli · Bill Freeman · Josh Tenenbaum
• 2017 Poster: Learning to See Physics via Visual De-animation »
  Jiajun Wu · Erika Lu · Pushmeet Kohli · Bill Freeman · Josh Tenenbaum
• 2017 Poster: Shape and Material from Sound »
  Zhoutong Zhang · Qiujia Li · Zhengjia Huang · Jiajun Wu · Josh Tenenbaum · Bill Freeman
• 2017 Poster: MarrNet: 3D Shape Reconstruction via 2.5D Sketches »
  Jiajun Wu · Yifan Wang · Tianfan Xue · Xingyuan Sun · Bill Freeman · Josh Tenenbaum
• 2017 Poster: Self-Supervised Intrinsic Image Decomposition »
  Michael Janner · Jiajun Wu · Tejas Kulkarni · Ilker Yildirim · Josh Tenenbaum
• 2016 Workshop: Intuitive Physics »
  Adam Lerer · Jiajun Wu · Josh Tenenbaum · Emmanuel Dupoux · Rob Fergus
• 2016 Poster: Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling »
  Jiajun Wu · Chengkai Zhang · Tianfan Xue · Bill Freeman · Josh Tenenbaum
• 2016 Poster: Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks »
  Tianfan Xue · Jiajun Wu · Katherine Bouman · Bill Freeman
• 2016 Oral: Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks »
  Tianfan Xue · Jiajun Wu · Katherine Bouman · Bill Freeman
• 2015 Poster: Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning »
  Jiajun Wu · Ilker Yildirim · Joseph Lim · Bill Freeman · Josh Tenenbaum
• 2013 Poster: Synthesizing Robust Plans under Incomplete Domain Models »
  Tuan A Nguyen · Subbarao Kambhampati · Minh Do
• 2012 Poster: Action-Model Based Multi-agent Plan Recognition »
  Hankz Hankui Zhuo · Qiang Yang · Subbarao Kambhampati