Fei-Fei, Li

181 publications

CVPRW 2025 An Interactive Agent Foundation Model Zane Durante, Ran Gong, Bidipta Sarkar, Naoki Wake, Rohan Taori, Paul Tang, Shrinidhi Kowshika Lakshmikanth, Kevin A. Schulman, Arnold Milstein, Hoi Vo, Ehsan Adeli, Demetri Terzopoulos, Li Fei-Fei, Jianfeng Gao

CoRL 2025 BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities Yunfan Jiang, Ruohan Zhang, Josiah Wong, Chen Wang, Yanjie Ze, Hang Yin, Cem Gokmen, Shuran Song, Jiajun Wu, Li Fei-Fei

NeurIPS 2025 Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation Bailey Trang, Parham Saremi, Alan Q. Wang, Fangrui Huang, Zahra TehraniNasab, Amar Kumar, Tal Arbel, Li Fei-Fei, Ehsan Adeli

NeurIPS 2025 Exploring Diffusion Transformer Designs via Grafting Keshigeyan Chandrasegaran, Michael Poli, Daniel Y Fu, Dongjun Kim, Lea M. Hadzic, Manling Li, Agrim Gupta, Stefano Massaroli, Azalia Mirhoseini, Juan Carlos Niebles, Stefano Ermon, Li Fei-Fei

ICCV 2025 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

CVPR 2025 Re-Thinking Temporal Search for Long-Form Video Understanding Jinhui Ye, Zihan Wang, Haosen Sun, Keshigeyan Chandrasegaran, Zane Durante, Cristobal Eyzaguirre, Yonatan Bisk, Juan Carlos Niebles, Ehsan Adeli, Li Fei-Fei, Jiajun Wu, Manling Li

ICCV 2025 Repurposing 2D Diffusion Models with Gaussian Atlas for 3D Generation Tiange Xiang, Kai Li, Chengjiang Long, Christian Häne, Peihong Guo, Scott Delp, Ehsan Adeli, Li Fei-Fei

ICLRW 2025 S1: Simple Test-Time Scaling Niklas Muennighoff, Zitong Yang, Weijia Shi, Xiang Lisa Li, Li Fei-Fei, Hannaneh Hajishirzi, Luke Zettlemoyer, Percy Liang, Emmanuel Candes, Tatsunori Hashimoto

CVPR 2025 The Language of Motion: Unifying Verbal and Non-Verbal Language of 3D Human Motion Changan Chen, Juze Zhang, Shrinidhi K. Lakshmikanth, Yusu Fang, Ruizhi Shao, Gordon Wetzstein, Li Fei-Fei, Ehsan Adeli

CVPR 2025 Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces Jihan Yang, Shusheng Yang, Anjali W. Gupta, Rilyn Han, Li Fei-Fei, Saining Xie

NeurIPS 2025 VAGEN: Reinforcing World Model Reasoning for Multi-Turn VLM Agents Kangrui Wang, Pingyue Zhang, Zihan Wang, Yaning Gao, Linjie Li, Qineng Wang, Hanyang Chen, Yiping Lu, Zhengyuan Yang, Lijuan Wang, Ranjay Krishna, Jiajun Wu, Li Fei-Fei, Yejin Choi, Manling Li

ICCV 2025 WorldScore: A Unified Evaluation Benchmark for World Generation Haoyi Duan, Hong-Xing Yu, Sirui Chen, Li Fei-Fei, Jiajun Wu

CoRL 2024 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

CVPR 2024 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 Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu

ICML 2024 Chain of Code: Reasoning with a Language Model-Augmented Code Emulator Chengshu Li, Jacky Liang, Andy Zeng, Xinyun Chen, Karol Hausman, Dorsa Sadigh, Sergey Levine, Li Fei-Fei, Fei Xia, Brian Ichter

CoRL 2024 D$^3$Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Rearrangement Yixuan Wang, Mingtong Zhang, Zhuoran Li, Tarik Kelestemur, Katherine Rose Driggs-Campbell, Jiajun Wu, Li Fei-Fei, Yunzhu Li

WACV 2024 Differentially Private Video Activity Recognition Zelun Luo, Yuliang Zou, Yijin Yang, Zane Durante, De-An Huang, Zhiding Yu, Chaowei Xiao, Li Fei-Fei, Animashree Anandkumar

NeurIPS 2024 Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making Manling Li, Shiyu Zhao, Qineng Wang, Kangrui Wang, Yu Zhou, Sanjana Srivastava, Cem Gokmen, Tony Lee, Li Erran Li, Ruohan Zhang, Weiyu Liu, Percy Liang, Li Fei-Fei, Jiayuan Mao, Jiajun Wu

NeurIPS 2024 HourVideo: 1-Hour Video-Language Understanding Keshigeyan Chandrasegaran, Agrim Gupta, Lea M. Hadzic, Taran Kota, Jimming He, Cristobal Eyzaguirre, Zane Durante, Manling Li, Jiajun Wu, Li Fei-Fei

NeurIPS 2024 OccFusion: Rendering Occluded Humans with Generative Diffusion Priors Adam Sun, Tiange Xiang, Scott Delp, Li Fei-Fei, Ehsan Adeli

ECCV 2024 Photorealistic Video Generation with Diffusion Models Agrim Gupta, Lijun Yu, Kihyuk Sohn, Xiuye Gu, Meera Hahn, Li Fei-Fei, Irfan Essa, Lu Jiang, Jose Lezama

CoRL 2024 ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation Wenlong Huang, Chen Wang, Yunzhu Li, Ruohan Zhang, Li Fei-Fei

CoRL 2024 TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction Yunfan Jiang, Chen Wang, Ruohan Zhang, Jiajun Wu, Li Fei-Fei

CVPR 2024 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

NeurIPSW 2023 Chain of Code: Reasoning with a Language Model-Augmented Code Emulator Chengshu Li, Jacky Liang, Andy Zeng, Xinyun Chen, Karol Hausman, Dorsa Sadigh, Sergey Levine, Li Fei-Fei, Fei Xia, Brian Ichter

NeurIPSW 2023 D$^3$Fields: 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

ICLR 2023 MaskViT: Masked Visual Pre-Training for Video Prediction Agrim Gupta, Stephen Tian, Yunzhi Zhang, Jiajun Wu, Roberto Martín-Martín, Li Fei-Fei

CoRL 2023 MimicPlay: Long-Horizon Imitation Learning by Watching Human Play Chen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei, Danfei Xu, Yuke Zhu, Anima Anandkumar

NeurIPSW 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

ICML 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 Martı́n-Martı́n

CoRL 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

ICCV 2023 Rendering Humans from Object-Occluded Monocular Videos Tiange Xiang, Adam Sun, Jiajun Wu, Ehsan Adeli, Li Fei-Fei

CoRL 2023 Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation Yuanpei Chen, Chen Wang, Li Fei-Fei, Karen Liu

CVPR 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

ICML 2023 VIMA: Robot Manipulation with Multimodal Prompts Yunfan Jiang, Agrim Gupta, Zichen Zhang, Guanzhi Wang, Yongqiang Dou, Yanjun Chen, Li Fei-Fei, Anima Anandkumar, Yuke Zhu, Linxi Fan

CoRL 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

NeurIPSW 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

CoRL 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

ICML 2022 A Study of Face Obfuscation in ImageNet Kaiyu Yang, Jacqueline H. Yau, Li Fei-Fei, Jia Deng, Olga Russakovsky

CoRL 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, Karen Liu, Jiajun Wu, Li Fei-Fei

ICLR 2022 MetaMorph: Learning Universal Controllers with Transformers Agrim Gupta, Linxi Fan, Surya Ganguli, Li Fei-Fei

CVPR 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

ECCV 2022 PrivHAR: Recognizing Human Actions from Privacy-Preserving Lens Carlos Hinojosa, Miguel Marquez, Henry Arguello, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles

CVPR 2022 Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning Liangqiong Qu, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Ehsan Adeli, Li Fei-Fei, Daniel Rubin

CVPR 2022 Revisiting the "Video" in Video-Language Understanding Shyamal Buch, Cristóbal Eyzaguirre, Adrien Gaidon, Jiajun Wu, Li Fei-Fei, Juan Carlos Niebles

CoRL 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 Adelson, Li Fei-Fei, Ruohan Gao, Jiajun Wu

NeurIPSW 2022 VIMA: General Robot Manipulation with Multimodal Prompts Yunfan Jiang, Agrim Gupta, Zichen Zhang, Guanzhi Wang, Yongqiang Dou, Yanjun Chen, Li Fei-Fei, Anima Anandkumar, Yuke Zhu, Linxi Fan

CoRL 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, Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei

CoRL 2021 Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration Chen Wang, Claudia Pérez-D’Arpino, Danfei Xu, Li Fei-Fei, Karen Liu, Silvio Savarese

CoRL 2021 Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation Josiah Wong, Albert Tung, Andrey Kurenkov, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Roberto Martín-Martín

CoRL 2021 Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks Bohan Wu, Suraj Nair, Li Fei-Fei, Chelsea Finn

CVPR 2021 Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction Bohan Wu, Suraj Nair, Roberto Martin-Martin, Li Fei-Fei, Chelsea Finn

CVPR 2021 Metadata Normalization Mandy Lu, Qingyu Zhao, Jiequan Zhang, Kilian M. Pohl, Li Fei-Fei, Juan Carlos Niebles, Ehsan Adeli

CoRL 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

WACV 2021 Representation Learning with Statistical Independence to Mitigate Bias Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Juan Carlos Niebles, Kilian M. Pohl

ICML 2021 SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies Linxi Fan, Guanzhi Wang, De-An Huang, Zhiding Yu, Li Fei-Fei, Yuke Zhu, Animashree Anandkumar

CVPR 2021 Scalable Differential Privacy with Sparse Network Finetuning Zelun Luo, Daniel J. Wu, Ehsan Adeli, Li Fei-Fei

CoRL 2021 What Matters in Learning from Offline Human Demonstrations for Robot Manipulation Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín

CoRL 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, Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese

IJCAI 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

ECCV 2020 Procedure Planning in Instructional Videos Chien-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles

ECCV 2020 RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition Linxi Fan, Shyamal Buch, Guanzhi Wang, Ryan Cao, Yuke Zhu, Juan Carlos Niebles, Li Fei-Fei

CoRL 2019 Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation Kuan Fang, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei

ICLR 2019 Eidetic 3D LSTM: A Model for Video Prediction and Beyond Yunbo Wang, Lu Jiang, Ming-Hsuan Yang, Li-Jia Li, Mingsheng Long, Li Fei-Fei

CVPRW 2019 Peeking into the Future: Predicting Future Person Activities and Locations in Videos Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander G. Hauptmann, Li Fei-Fei

ICCVW 2019 Scene Graph Prediction with Limited Labels Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael S. Bernstein, Christopher Ré, Li Fei-Fei

ICCVW 2019 Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction Apoorva Dornadula, Austin Narcomey, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei

MLHC 2018 3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities Bingbin Liu, Michelle Guo, Edward Chou, Rishab Mehra, Serena Yeung, N. Lance Downing, Francesca Salipur, Jeffrey Jopling, Brandi Campbell, Kayla Deru, William Beninati, Arnold Milstein, Li Fei-Fei

ICML 2018 Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go? Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter Glynn, Yinyu Ye, Li-Jia Li, Li Fei-Fei

ECCV 2018 Dynamic Task Prioritization for Multitask Learning Michelle Guo, Albert Haque, De-An Huang, Serena Yeung, Li Fei-Fei

ECCV 2018 Graph Distillation for Action Detection with Privileged Modalities Zelun Luo, Jun-Ting Hsieh, Lu Jiang, Juan Carlos Niebles, Li Fei-Fei

ECCV 2018 HiDDeN: Hiding Data with Deep Networks Jiren Zhu, Russell Kaplan, Justin Johnson, Li Fei-Fei

ICML 2018 MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels Lu Jiang, Zhengyuan Zhou, Thomas Leung, Li-Jia Li, Li Fei-Fei

ECCV 2018 Neural Graph Matching Networks for Fewshot 3D Action Recognition Michelle Guo, Edward Chou, De-An Huang, Shuran Song, Serena Yeung, Li Fei-Fei

ECCV 2018 Progressive Neural Architecture Search Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan Yuille, Jonathan Huang, Kevin Murphy

CoRL 2018 ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning Through Imitation Ajay Mandlekar, Yuke Zhu, Animesh Garg, Jonathan Booher, Max Spero, Albert Tung, Julian Gao, John Emmons, Anchit Gupta, Emre Orbay, Silvio Savarese, Li Fei-Fei

CoRL 2018 SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark Linxi Fan, Yuke Zhu, Jiren Zhu, Zihua Liu, Orien Zeng, Anchit Gupta, Joan Creus-Costa, Silvio Savarese, Li Fei-Fei

WACV 2018 Scaling Human-Object Interaction Recognition Through Zero-Shot Learning Liyue Shen, Serena Yeung, Judy Hoffman, Greg Mori, Li Fei-Fei

ECCV 2018 Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos Bingbin Liu, Serena Yeung, Edward Chou, De-An Huang, Li Fei-Fei, Juan Carlos Niebles

WACV 2018 Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks Amy Jin, Serena Yeung, Jeffrey Jopling, Jonathan Krause, Dan Azagury, Arnold Milstein, Li Fei-Fei

CVPR 2017 A Hierarchical Approach for Generating Descriptive Image Paragraphs Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei

CVPR 2017 CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross Girshick

ICCV 2017 Characterizing and Improving Stability in Neural Style Transfer Agrim Gupta, Justin Johnson, Alexandre Alahi, Li Fei-Fei

ICCV 2017 Dense-Captioning Events in Videos Ranjay Krishna, Kenji Hata, Frederic Ren, Li Fei-Fei, Juan Carlos Niebles

AAAI 2017 Fine-Grained Car Detection for Visual Census Estimation Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei

ICCV 2017 Fine-Grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach Timnit Gebru, Judy Hoffman, Li Fei-Fei

ICCV 2017 Inferring and Executing Programs for Visual Reasoning Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross Girshick

CVPR 2017 Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals Katsuyuki Nakamura, Serena Yeung, Alexandre Alahi, Li Fei-Fei

CVPR 2017 Knowledge Acquisition for Visual Question Answering via Iterative Querying Yuke Zhu, Joseph J. Lim, Li Fei-Fei

CVPR 2017 Learning to Learn from Noisy Web Videos Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei

CVPR 2017 Scene Graph Generation by Iterative Message Passing Danfei Xu, Yuke Zhu, Christopher B. Choy, Li Fei-Fei

MLHC 2017 Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance Albert Haque, Michelle Guo, Alexandre Alahi, Serena Yeung, Zelun Luo, Alisha Rege, Jeffrey Jopling, Lance Downing, William Beninati, Amit Singh, Terry Platchek, Arnold Milstein, Li Fei-Fei

CVPR 2017 Unsupervised Learning of Long-Term Motion Dynamics for Videos Zelun Luo, Boya Peng, De-An Huang, Alexandre Alahi, Li Fei-Fei

CVPR 2017 Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos De-An Huang, Joseph J. Lim, Li Fei-Fei, Juan Carlos Niebles

ICCV 2017 Visual Semantic Planning Using Deep Successor Representations Yuke Zhu, Daniel Gordon, Eric Kolve, Dieter Fox, Li Fei-Fei, Abhinav Gupta, Roozbeh Mottaghi, Ali Farhadi

ECCV 2016 Connectionist Temporal Modeling for Weakly Supervised Action Labeling De-An Huang, Li Fei-Fei, Juan Carlos Niebles

CVPR 2016 DenseCap: Fully Convolutional Localization Networks for Dense Captioning Justin Johnson, Andrej Karpathy, Li Fei-Fei

CVPR 2016 Detecting Events and Key Actors in Multi-Person Videos Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander Gorban, Kevin Murphy, Li Fei-Fei

CVPR 2016 End-to-End Learning of Action Detection from Frame Glimpses in Videos Serena Yeung, Olga Russakovsky, Greg Mori, Li Fei-Fei

ECCV 2016 Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson, Alexandre Alahi, Li Fei-Fei

CVPR 2016 Recurrent Attention Models for Depth-Based Person Identification Albert Haque, Alexandre Alahi, Li Fei-Fei

CVPR 2016 Social LSTM: Human Trajectory Prediction in Crowded Spaces Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, Silvio Savarese

ECCV 2016 The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei

ECCV 2016 Towards Viewpoint Invariant 3D Human Pose Estimation Albert Haque, Boya Peng, Zelun Luo, Alexandre Alahi, Serena Yeung, Li Fei-Fei

ECCV 2016 Visual Relationship Detection with Language Priors Cewu Lu, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei

CVPR 2016 Visual7W: Grounded Question Answering in Images Yuke Zhu, Oliver Groth, Michael Bernstein, Li Fei-Fei

ECCV 2016 What's the Point: Semantic Segmentation with Point Supervision Amy L. Bearman, Olga Russakovsky, Vittorio Ferrari, Li Fei-Fei

CVPR 2015 Best of Both Worlds: Human-Machine Collaboration for Object Annotation Olga Russakovsky, Li-Jia Li, Li Fei-Fei

CVPR 2015 Deep Visual-Semantic Alignments for Generating Image Descriptions Andrej Karpathy, Li Fei-Fei

CVPR 2015 Fine-Grained Recognition Without Part Annotations Jonathan Krause, Hailin Jin, Jianchao Yang, Li Fei-Fei

CVPR 2015 Image Retrieval Using Scene Graphs Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David Shamma, Michael Bernstein, Li Fei-Fei

ICCV 2015 Improving Image Classification with Location Context Kevin Tang, Manohar Paluri, Li Fei-Fei, Rob Fergus, Lubomir Bourdev

CVPR 2015 Learning Semantic Relationships for Better Action Retrieval in Images Vignesh Ramanathan, Congcong Li, Jia Deng, Wei Han, Zhen Li, Kunlong Gu, Yang Song, Samy Bengio, Charles Rosenberg, Li Fei-Fei

ICCV 2015 Learning Temporal Embeddings for Complex Video Analysis Vignesh Ramanathan, Kevin Tang, Greg Mori, Li Fei-Fei

ICCV 2015 Love Thy Neighbors: Image Annotation by Exploiting Image Metadata Justin Johnson, Lamberto Ballan, Li Fei-Fei

ICCV 2015 RGB-W: When Vision Meets Wireless Alexandre Alahi, Albert Haque, Li Fei-Fei

CVPR 2014 Co-Localization in Real-World Images Kevin Tang, Armand Joulin, Li-Jia Li, Li Fei-Fei

ECCV 2014 Efficient Image and Video Co-Localization with Frank-Wolfe Algorithm Armand Joulin, Kevin D. Tang, Li Fei-Fei

CVPR 2014 Large-Scale Video Classification with Convolutional Neural Networks Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul Sukthankar, Li Fei-Fei

ECCV 2014 Linking People in Videos with "Their" Names Using Coreference Resolution Vignesh Ramanathan, Armand Joulin, Percy Liang, Li Fei-Fei

ECCV 2014 Reasoning About Object Affordances in a Knowledge Base Representation Yuke Zhu, Alireza Fathi, Li Fei-Fei

CVPR 2014 Socially-Aware Large-Scale Crowd Forecasting Alexandre Alahi, Vignesh Ramanathan, Li Fei-Fei

WACV 2014 Understanding the 3D Layout of a Cluttered Room from Multiple Images Sid Ying-Ze Bao, Axel Furlan, Li Fei-Fei, Silvio Savarese

ICCVW 2013 3D Object Representations for Fine-Grained Categorization Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei

ICCV 2013 Combining the Right Features for Complex Event Recognition Kevin Tang, Bangpeng Yao, Li Fei-Fei, Daphne Koller

ICCV 2013 Detecting Avocados to Zucchinis: What Have We Done, and Where Are We Going? Olga Russakovsky, Jia Deng, Zhiheng Huang, Alexander C. Berg, Li Fei-Fei

ICCV 2013 Discovering Object Functionality Bangpeng Yao, Jiayuan Ma, Li Fei-Fei

CVPR 2013 Discriminative Segment Annotation in Weakly Labeled Video Kevin Tang, Rahul Sukthankar, Jay Yagnik, Li Fei-Fei

CVPR 2013 Fine-Grained Crowdsourcing for Fine-Grained Recognition Jia Deng, Jonathan Krause, Li Fei-Fei

CVPR 2013 Social Role Discovery in Human Events Vignesh Ramanathan, Bangpeng Yao, Li Fei-Fei

ICCV 2013 Video Event Understanding Using Natural Language Descriptions Vignesh Ramanathan, Percy Liang, Li Fei-Fei

CVPR 2012 A Codebook-Free and Annotation-Free Approach for Fine-Grained Image Categorization Bangpeng Yao, Gary R. Bradski, Li Fei-Fei

ECCV 2012 Action Recognition with Exemplar Based 2.5d Graph Matching Bangpeng Yao, Li Fei-Fei

ICML 2012 Efficient Euclidean Projections onto the Intersection of Norm Balls Adams Wei Yu, Hao Su, Li Fei-Fei

CVPR 2012 Hedging Your Bets: Optimizing Accuracy-Specificity Trade-Offs in Large Scale Visual Recognition Jia Deng, Jonathan Krause, Alexander C. Berg, Li Fei-Fei

CVPR 2012 Learning Latent Temporal Structure for Complex Event Detection Kevin D. Tang, Li Fei-Fei, Daphne Koller

ECCV 2012 Object-Centric Spatial Pooling for Image Classification Olga Russakovsky, Yuanqing Lin, Kai Yu, Li Fei-Fei

NeurIPS 2012 Shifting Weights: Adapting Object Detectors from Image to Video Kevin Tang, Vignesh Ramanathan, Li Fei-fei, Daphne Koller

CVPR 2011 Combining Randomization and Discrimination for Fine-Grained Image Categorization Bangpeng Yao, Aditya Khosla, Li Fei-Fei

ICCV 2011 Distributed Cosegmentation via Submodular Optimization on Anisotropic Diffusion Gunhee Kim, Eric P. Xing, Li Fei-Fei, Takeo Kanade

CVPR 2011 Hierarchical Semantic Indexing for Large Scale Image Retrieval Jia Deng, Alexander C. Berg, Li Fei-Fei

ICCV 2011 Human Action Recognition by Learning Bases of Action Attributes and Parts Bangpeng Yao, Xiaoye Jiang, Aditya Khosla, Andy Lai Lin, Leonidas J. Guibas, Li Fei-Fei

CVPR 2011 Online Detection of Unusual Events in Videos via Dynamic Sparse Coding Bin Zhao, Li Fei-Fei, Eric P. Xing

ECCV 2010 Attribute Learning in Large-Scale Datasets Olga Russakovsky, Li Fei-Fei

ECCVW 2010 Attribute Learning in Large-Scale Datasets Olga Russakovsky, Li Fei-Fei

CVPR 2010 Building and Using a Semantivisual Image Hierarchy Li-Jia Li, Chong Wang, Yongwhan Lim, David M. Blei, Li Fei-Fei

CVPR 2010 Connecting Modalities: Semi-Supervised Segmentation and Annotation of Images Using Unaligned Text Corpora Richard Socher, Li Fei-Fei

CVPR 2010 Efficient Extraction of Human Motion Volumes by Tracking Juan Carlos Niebles, Bohyung Han, Li Fei-Fei

CVPR 2010 Grouplet: A Structured Image Representation for Recognizing Human and Object Interactions Bangpeng Yao, Li Fei-Fei

ECCV 2010 Image Segmentation with Topic Random Field Bin Zhao, Li Fei-Fei, Eric P. Xing

NeurIPS 2010 Large Margin Learning of Upstream Scene Understanding Models Jun Zhu, Li-jia Li, Li Fei-fei, Eric P. Xing

CVPR 2010 Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities Bangpeng Yao, Li Fei-Fei

ECCV 2010 Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification Juan Carlos Niebles, Chih-Wei Chen, Li Fei-Fei

NeurIPS 2010 Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification Li-jia Li, Hao Su, Li Fei-fei, Eric P. Xing

ECCV 2010 Objects as Attributes for Scene Classification Li-Jia Li, Hao Su, Yongwhan Lim, Li Fei-Fei

ECCVW 2010 Objects as Attributes for Scene Classification Li-Jia Li, Hao Su, Yongwhan Lim, Li Fei-Fei

ECCV 2010 What Does Classifying More than 10, 000 Image Categories Tell Us? Jia Deng, Alexander C. Berg, Kai Li, Li Fei-Fei

CVPR 2009 A Multi-View Probabilistic Model for 3D Object Classes Min Sun, Hao Su, Silvio Savarese, Li Fei-Fei

NeurIPS 2009 Exploring Functional Connectivities of the Human Brain Using Multivariate Information Analysis Barry Chai, Dirk Walther, Diane Beck, Li Fei-fei

NeurIPS 2009 Hierarchical Mixture of Classification Experts Uncovers Interactions Between Brain Regions Bangpeng Yao, Dirk Walther, Diane Beck, Li Fei-fei

CVPR 2009 ImageNet: A Large-Scale Hierarchical Image Database Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei

ICCV 2009 Learning a Dense Multi-View Representation for Detection, Viewpoint Classification and Synthesis of Object Categories Hao Su, Min Sun, Li Fei-Fei, Silvio Savarese

CVPRW 2009 Mining Discriminative Adjectives and Prepositions for Natural Scene Recognition Bangpeng Yao, Juan Carlos Niebles, Li Fei-Fei

CVPR 2009 Simultaneous Image Classification and Annotation Chong Wang, David M. Blei, Li Fei-Fei

CVPR 2009 Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework Li-Jia Li, Richard Socher, Li Fei-Fei

ECCV 2008 Extracting Moving People from Internet Videos Juan Carlos Niebles, Bohyung Han, Andras Ferencz, Li Fei-Fei

ECCV 2008 Towards Scalable Dataset Construction: An Active Learning Approach Brendan Collins, Jia Deng, Kai Li, Li Fei-Fei

ECCV 2008 View Synthesis for Recognizing Unseen Poses of Object Classes Silvio Savarese, Li Fei-Fei

ICCV 2007 3D Generic Object Categorization, Localization and Pose Estimation Silvio Savarese, Li Fei-Fei

CVPR 2007 A Hierarchical Model of Shape and Appearance for Human Action Classification Juan Carlos Niebles, Li Fei-Fei

AAAI 2007 OPTIMOL: A Framework for Online Picture Collection via Incremental Model Learning Li-Jia Li, Juan Carlos Niebles, Li Fei-Fei

CVPR 2007 OPTIMOL: Automatic Online Picture collecTion via Incremental MOdel Learning Li-Jia Li, Gang Wang, Li Fei-Fei

ICCV 2007 Spatially Coherent Latent Topic Model for Concurrent Segmentation and Classification of Objects and Scenes Liangliang Cao, Li Fei-Fei

ICCV 2007 What, Where and Who? Classifying Events by Scene and Object Recognition Li-Jia Li, Li Fei-Fei

CVPR 2006 Using Dependent Regions for Object Categorization in a Generative Framework Gang Wang, Ye Zhang, Li Fei-Fei

CVPR 2005 A Bayesian Hierarchical Model for Learning Natural Scene Categories Li Fei-Fei, Pietro Perona

ICCV 2005 Learning Object Categories from Google's Image Search Robert Fergus, Li Fei-Fei, Pietro Perona, Andrew Zisserman

CVPR 2004 Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories Li Fei-Fei, Rob Fergus, Pietro Perona

CVPRW 2004 Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories Li Fei-Fei, Rob Fergus, Pietro Perona

ICCV 2003 A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories Li Fei-Fei, Robert Fergus, Pietro Perona