Li Fei-Fei
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
231
Venues
28
Active years
2003–2025
Best venue rank
A*
Where they publish
- A*CVPR76 papers
- A*ECCV28 papers
- A*ICCV27 papers
- UnrankedCoRL21 papers
- A*ICRA19 papers
- AIROS8 papers
- A*ICML8 papers
- AWACV6 papers
- ABMVC4 papers
- A*ICLR4 papers
- BCogSci3 papers
- AMICCAI3 papers
- A*CHI3 papers
- BICPR3 papers
- BHCOMP2 papers
- A*UIST2 papers
- A*AAAI2 papers
- NationalAMIA2 papers
- A*EMNLP1 paper
- ANAACL1 paper
- A*ACL1 paper
- A*IJCAI1 paper
- MulticonferenceICASSP1 paper
- ACSCW1 paper
- CISRR1 paper
- ASIGCSE1 paper
- BACCV1 paper
- A*KDD1 paper
Papers
231 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 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 | EMNLP | s1: Simple test-time scaling. | Niklas Muennighoff, Zitong Yang, Weijia Shi, Xiang Lisa Li, Li Fei-Fei, Hannaneh Hajishirzi, Luke Zettlemoyer, Percy Liang, Emmanuel J. Cands, Tatsunori Hashimoto |
| 2025 | ICCV | WorldScore: A Unified Evaluation Benchmark for World Generation. | Haoyi Duan, Hong-Xing Yu, Sirui Chen, Li Fei-Fei, 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 | Repurposing 2D Diffusion Models with Gaussian Atlas for 3D Generation. | Tiange Xiang, Kai Li, Chengjiang Long, Christian Hne, Peihong Guo, Scott L. Delp, Ehsan Adeli, Li Fei-Fei |
| 2025 | ICRA | ARCap: Collecting High-Quality Human Demonstrations for Robot Learning with Augmented Reality Feedback. | Sirui Chen, Chen Wang, Kaden Nguyen, Li Fei-Fei, C. Karen Liu |
| 2025 | ICRA | A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards. | Shivansh Patel, Xinchen Yin, Wenlong Huang, Shubham Garg, Hooshang Nayyeri, Li Fei-Fei, Svetlana Lazebnik, Yunzhu Li |
| 2025 | IROS | GeT-USE: Learning Generalized Tool Usage for Bimanual Mobile Manipulation via Simulated Embodiment Extensions. | Bohan Wu, Paul de La Sayette, Li Fei-Fei, Roberto Martn-Martn |
| 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 | ICRA | Chain-of-Modality: Learning Manipulation Programs from Multimodal Human Videos with Vision-Language-Models. | Chen Wang, Fei Xia, Wenhao Yu, Tingnan Zhang, Ruohan Zhang, C. Karen Liu, Li Fei-Fei, Jie Tan, Jacky Liang |
| 2024 | BMVC | Few-Shot Classification of Interactive Activities of Daily Living (InteractADL). | Zane Durante, Robathan Harries, Edward Vendrow, Zelun Luo, Yuta Kyuragi, Kazuki Kozuka, Li Fei-Fei, Ehsan Adeli |
| 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 | ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation. | Wenlong Huang, Chen Wang, Yunzhu Li, Ruohan Zhang, Li Fei-Fei |
| 2024 | CoRL | D | Yixuan Wang, Mingtong Zhang, Zhuoran Li, Tarik Kelestemur, Katherine Rose Driggs-Campbell, Jiajun Wu, Li Fei-Fei, Yunzhu Li |
| 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 | 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 | ICML | 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 |
| 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 | NAACL | MindAgent: Emergent Gaming Interaction. | Ran Gong, Qiuyuan Huang, Xiaojian Ma, Yusuke Noda, Zane Durante, Zilong Zheng, Demetri Terzopoulos, Li Fei-Fei, Jianfeng Gao, Hoi Vo |
| 2024 | WACV | 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 |
| 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 | CoRL | Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation. | Yuanpei Chen, Chen Wang, Li Fei-Fei, C. Karen Liu |
| 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 | 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 |
| 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 | 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 | ICCV | Rendering Humans from Object-Occluded Monocular Videos. | Tiange Xiang, Adam Sun, Jiajun Wu, Ehsan Adeli, Li Fei-Fei |
| 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 | ICML | 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 |
| 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 | 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 | Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks. | Kuan Fang, Toki Migimatsu, Ajay Mandlekar, Li Fei-Fei, Jeannette Bohg |
| 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 | ICRA | M-EMBER: Tackling Long-Horizon Mobile Manipulation via Factorized Domain Transfer. | Bohan Wu, Roberto Martn-Martn, Li Fei-Fei |
| 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 | 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 L. Rubin |
| 2022 | ECCV | PrivHAR: Recognizing Human Actions from Privacy-Preserving Lens. | Carlos Hinojosa, Miguel Marquez, Henry Arguello, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles |
| 2022 | ICLR | MetaMorph: Learning Universal Controllers with Transformers. | Agrim Gupta, Linxi Fan, Surya Ganguli, Li Fei-Fei |
| 2022 | ICML | A Study of Face Obfuscation in ImageNet. | Kaiyu Yang, Jacqueline H. Yau, Li Fei-Fei, Jia Deng, Olga Russakovsky |
| 2022 | MICCAI | GaitForeMer: Self-supervised Pre-training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation. | Mark Endo, Kathleen L. Poston, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Ehsan Adeli-Mosabbeb |
| 2021 | ACL | Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering. | Siddharth Karamcheti, Ranjay Krishna, Li Fei-Fei, Christopher D. Manning |
| 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 | 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 | 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 Martn-Martn |
| 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 | Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration. | Chen Wang, Claudia Prez-D'Arpino, Danfei Xu, Li Fei-Fei, C. Karen Liu, Silvio Savarese |
| 2021 | CoRL | Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation. | Josiah Wong, Albert Tung, Andrey Kurenkov, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Roberto Martn-Martn |
| 2021 | CoRL | Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks. | Bohan Wu, Suraj Nair, Li Fei-Fei, Chelsea Finn |
| 2021 | CVPR | Scalable Differential Privacy With Sparse Network Finetuning. | Zelun Luo, Daniel J. Wu, Ehsan Adeli, Li Fei-Fei |
| 2021 | CVPR | Metadata Normalization. | Mandy Lu, Qingyu Zhao, Jiequan Zhang, Kilian M. Pohl, Li Fei-Fei, Juan Carlos Niebles, Ehsan Adeli |
| 2021 | CVPR | Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction. | Bohan Wu, Suraj Nair, Roberto Martn-Martn, Li Fei-Fei, Chelsea Finn |
| 2021 | ICLR | Adaptive Procedural Task Generation for Hard-Exploration Problems. | Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei |
| 2021 | ICML | 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 |
| 2021 | IROS | iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes. | Bokui Shen, Fei Xia, Chengshu Li, Roberto Martn-Martn, Linxi Fan, Guanzhi Wang, Claudia Prez-D'Arpino, Shyamal Buch, Sanjana Srivastava, Lyne Tchapmi, Micael Tchapmi, Kent Vainio, Josiah Wong, Li Fei-Fei, Silvio Savarese |
| 2021 | IROS | Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control. | Chen Wang, Rui Wang, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Danfei Xu |
| 2021 | ICRA | Learning Multi-Arm Manipulation Through Collaborative Teleoperation. | Albert Tung, Josiah Wong, Ajay Mandlekar, Roberto Martn-Martn, Yuke Zhu, Li Fei-Fei, Silvio Savarese |
| 2021 | ICRA | Deep Affordance Foresight: Planning Through What Can Be Done in the Future. | Danfei Xu, Ajay Mandlekar, Roberto Martn-Martn, Yuke Zhu, Silvio Savarese, Li Fei-Fei |
| 2021 | WACV | Representation Learning with Statistical Independence to Mitigate Bias. | Ehsan Adeli-Mosabbeb, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Juan Carlos Niebles, Kilian M. Pohl |
| 2020 | CVPR | Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs. | Jingwei Ji, Ranjay Krishna, Li Fei-Fei, Juan Carlos Niebles |
| 2020 | ECCV | Procedure Planning in Instructional Videos. | Chien-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles |
| 2020 | ECCV | 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 |
| 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 | Motion Reasoning for Goal-Based Imitation Learning. | De-An Huang, Yu-Wei Chao, Chris Paxton, Xinke Deng, Li Fei-Fei, Juan Carlos Niebles, Animesh Garg, Dieter Fox |
| 2020 | ICRA | IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data. | Ajay Mandlekar, Fabio Ramos, Byron Boots, Silvio Savarese, Li Fei-Fei, Animesh Garg, Dieter Fox |
| 2020 | ICRA | KETO: Learning Keypoint Representations for Tool Manipulation. | Zengyi Qin, Kuan Fang, Yuke Zhu, Li Fei-Fei, Silvio Savarese |
| 2020 | ICRA | 6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints. | Chen Wang, Roberto Martn-Martn, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, Yuke Zhu |
| 2020 | MICCAI | Vision-Based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson's Disease Motor Severity. | Mandy Lu, Kathleen L. Poston, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Juan Carlos Niebles, Ehsan Adeli |
| 2019 | CoRL | Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation. | Kuan Fang, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei |
| 2019 | CVPR | D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation. | Chien-Yi Chang, De-An Huang, Yanan Sui, Li Fei-Fei, Juan Carlos Niebles |
| 2019 | CVPR | Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks. | Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese |
| 2019 | CVPR | Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration. | De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles |
| 2019 | CVPR | Information Maximizing Visual Question Generation. | Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei |
| 2019 | CVPR | 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 |
| 2019 | CVPR | 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 |
| 2019 | CVPR | Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. | Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille, Li Fei-Fei |
| 2019 | CVPR | Composing Text and Image for Image Retrieval - an Empirical Odyssey. | Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays |
| 2019 | CVPR | DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion. | Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martin Martin, Cewu Lu, Li Fei-Fei, Silvio Savarese |
| 2019 | HCOMP | AI-Based Request Augmentation to Increase Crowdsourcing Participation. | Junwon Park, Ranjay Krishna, Pranav Khadpe, Li Fei-Fei, Michael S. Bernstein |
| 2019 | ICASSP | Audio-linguistic Embeddings for Spoken Sentences. | Albert Haque, Michelle Guo, Prateek Verma, Li Fei-Fei |
| 2019 | ICCV | Scene Graph Prediction With Limited Labels. | Ranjay Krishna, Vincent S. Chen, Paroma Varma, Michael S. Bernstein, Christopher R, Li Fei-Fei |
| 2019 | ICCV | Situational Fusion of Visual Representation for Visual Navigation. | William B. Shen, Danfei Xu, Yuke Zhu, Li Fei-Fei, Leonidas J. Guibas, Silvio Savarese |
| 2019 | ICLR | 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 |
| 2019 | ICRA | Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks. | Michelle A. Lee, Yuke Zhu, Krishnan Srinivasan, Parth Shah, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg |
| 2019 | IROS | Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning. | De-An Huang, Danfei Xu, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei, Juan Carlos Niebles |
| 2019 | IROS | Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity. | Ajay Mandlekar, Jonathan Booher, Max Spero, Albert Tung, Anchit Gupta, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei |
| 2018 | CogSci | Emergence of Structured Behaviors from Curiosity-Based Intrinsic Motivation. | Nick Haber, Damian Mrowca, Li Fei-Fei, Daniel L. K. Yamins |
| 2018 | CoRL | 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 |
| 2018 | CoRL | 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 |
| 2018 | CVPR | Iterative Visual Reasoning Beyond Convolutions. | Xinlei Chen, Li-Jia Li, Li Fei-Fei, Abhinav Gupta |
| 2018 | CVPR | Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks. | Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, Alexandre Alahi |
| 2018 | CVPR | Finding "It": Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos. | De-An Huang, Shyamal Buch, Lucio M. Dery, Animesh Garg, Li Fei-Fei, Juan Carlos Niebles |
| 2018 | CVPR | What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets. | De-An Huang, Vignesh Ramanathan, Dhruv Mahajan, Lorenzo Torresani, Manohar Paluri, Li Fei-Fei, Juan Carlos Niebles |
| 2018 | CVPR | Image Generation From Scene Graphs. | Justin Johnson, Agrim Gupta, Li Fei-Fei |
| 2018 | CVPR | Referring Relationships. | Ranjay Krishna, Ines Chami, Michael S. Bernstein, Li Fei-Fei |
| 2018 | CVPR | Thoracic Disease Identification and Localization With Limited Supervision. | Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei |
| 2018 | ECCV | Neural Graph Matching Networks for Fewshot 3D Action Recognition. | Michelle Guo, Edward Chou, De-An Huang, Shuran Song, Serena Yeung, Li Fei-Fei |
| 2018 | ECCV | Dynamic Task Prioritization for Multitask Learning. | Michelle Guo, Albert Haque, De-An Huang, Serena Yeung, Li Fei-Fei |
| 2018 | ECCV | 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 |
| 2018 | ECCV | Progressive Neural Architecture Search. | Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy |
| 2018 | ECCV | Graph Distillation for Action Detection with Privileged Modalities. | Zelun Luo, Jun-Ting Hsieh, Lu Jiang, Juan Carlos Niebles, Li Fei-Fei |
| 2018 | ECCV | HiDDeN: Hiding Data With Deep Networks. | Jiren Zhu, Russell Kaplan, Justin Johnson, Li Fei-Fei |
| 2018 | ICML | 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 |
| 2018 | ICML | Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go? | Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye, Li-Jia Li, Li Fei-Fei |
| 2018 | ICRA | Neural Task Programming: Learning to Generalize Across Hierarchical Tasks. | Danfei Xu, Suraj Nair, Yuke Zhu, Julian Gao, Animesh Garg, Li Fei-Fei, Silvio Savarese |
| 2018 | WACV | Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks. | Amy Jin, Serena Yeung, Jeffrey K. Jopling, Jonathan Krause, Dan Azagury, Arnold Milstein, Li Fei-Fei |
| 2018 | WACV | Scaling Human-Object Interaction Recognition Through Zero-Shot Learning. | Liyue Shen, Serena Yeung, Judy Hoffman, Greg Mori, Li Fei-Fei |
| 2018 | UIST | Engagement Learning: Expanding Visual Knowledge by Engaging Online Participants. | Ranjay Krishna, Donsuk Lee, Li Fei-Fei, Michael S. Bernstein |
| 2017 | AAAI | Fine-Grained Car Detection for Visual Census Estimation. | Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei |
| 2017 | AMIA | Computer Vision-based Approach to Maintain Independent Living for Seniors. | Zelun Luo, Alisha Rege, Guido Pusiol, Arnold Milstein, Li Fei-Fei, N. Lance Downing |
| 2017 | BMVC | End-to-End, Single-Stream Temporal Action Detection in Untrimmed Videos. | Shyamal Buch, Victor Escorcia, Bernard Ghanem, Li Fei-Fei, Juan Carlos Niebles |
| 2017 | CHI | Scalable Annotation of Fine-Grained Categories Without Experts. | Timnit Gebru, Jonathan Krause, Jia Deng, Li Fei-Fei |
| 2017 | CSCW | A Glimpse Far into the Future: Understanding Long-term Crowd Worker Quality. | Kenji Hata, Ranjay Krishna, Li Fei-Fei, Michael S. Bernstein |
| 2017 | CVPR | Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos. | De-An Huang, Joseph J. Lim, Li Fei-Fei, Juan Carlos Niebles |
| 2017 | CVPR | 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 B. Girshick |
| 2017 | CVPR | A Hierarchical Approach for Generating Descriptive Image Paragraphs. | Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei |
| 2017 | CVPR | Unsupervised Learning of Long-Term Motion Dynamics for Videos. | Zelun Luo, Boya Peng, De-An Huang, Alexandre Alahi, Li Fei-Fei |
| 2017 | CVPR | Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals. | Katsuyuki Nakamura, Serena Yeung, Alexandre Alahi, Li Fei-Fei |
| 2017 | CVPR | Scene Graph Generation by Iterative Message Passing. | Danfei Xu, Yuke Zhu, Christopher B. Choy, Li Fei-Fei |
| 2017 | CVPR | Learning to Learn from Noisy Web Videos. | Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei |
| 2017 | CVPR | Knowledge Acquisition for Visual Question Answering via Iterative Querying. | Yuke Zhu, Joseph J. Lim, Li Fei-Fei |
| 2017 | ICCV | Fine-Grained Recognition in the Wild: A Multi-task Domain Adaptation Approach. | Timnit Gebru, Judy Hoffman, Li Fei-Fei |
| 2017 | ICCV | Characterizing and Improving Stability in Neural Style Transfer. | Agrim Gupta, Justin Johnson, Alexandre Alahi, Li Fei-Fei |
| 2017 | ICCV | Inferring and Executing Programs for Visual Reasoning. | Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick |
| 2017 | ICCV | Dense-Captioning Events in Videos. | Ranjay Krishna, Kenji Hata, Frederic Ren, Li Fei-Fei, Juan Carlos Niebles |
| 2017 | ICCV | Visual Semantic Planning Using Deep Successor Representations. | Yuke Zhu, Daniel Gordon, Eric Kolve, Dieter Fox, Li Fei-Fei, Abhinav Gupta, Roozbeh Mottaghi, Ali Farhadi |
| 2017 | ICRA | Unsupervised camera localization in crowded spaces. | Alexandre Alahi, Judson Wilson, Li Fei-Fei, Silvio Savarese |
| 2017 | IROS | Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations. | Ajay Mandlekar, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese |
| 2017 | ICRA | Target-driven visual navigation in indoor scenes using deep reinforcement learning. | Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, Joseph J. Lim, Abhinav Gupta, Li Fei-Fei, Ali Farhadi |
| 2017 | ISRR | AdaPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems. | James Harrison, Animesh Garg, Boris Ivanovic, Yuke Zhu, Silvio Savarese, Li Fei-Fei, Marco Pavone |
| 2016 | AMIA | Vision-Based Hand Hygiene Monitoring in Hospitals. | Serena Yeung, Alexandre Alahi, Albert Haque, Boya Peng, Zelun Luo, Amit Singh, Terry Platchek, Arnold Milstein, Li Fei-Fei |
| 2016 | CHI | Embracing Error to Enable Rapid Crowdsourcing. | Ranjay A. Krishna, Kenji Hata, Stephanie Chen, Joshua Kravitz, David A. Shamma, Li Fei-Fei, Michael S. Bernstein |
| 2016 | CVPR | Social LSTM: Human Trajectory Prediction in Crowded Spaces. | Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, Silvio Savarese |
| 2016 | CVPR | Recurrent Attention Models for Depth-Based Person Identification. | Albert Haque, Alexandre Alahi, Li Fei-Fei |
| 2016 | CVPR | DenseCap: Fully Convolutional Localization Networks for Dense Captioning. | Justin Johnson, Andrej Karpathy, Li Fei-Fei |
| 2016 | CVPR | Detecting Events and Key Actors in Multi-person Videos. | Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei |
| 2016 | CVPR | End-to-End Learning of Action Detection from Frame Glimpses in Videos. | Serena Yeung, Olga Russakovsky, Greg Mori, Li Fei-Fei |
| 2016 | CVPR | Visual7W: Grounded Question Answering in Images. | Yuke Zhu, Oliver Groth, Michael S. Bernstein, Li Fei-Fei |
| 2016 | ECCV | What's the Point: Semantic Segmentation with Point Supervision. | Amy L. Bearman, Olga Russakovsky, Vittorio Ferrari, Li Fei-Fei |
| 2016 | ECCV | Towards Viewpoint Invariant 3D Human Pose Estimation. | Albert Haque, Boya Peng, Zelun Luo, Alexandre Alahi, Serena Yeung, Li Fei-Fei |
| 2016 | ECCV | Connectionist Temporal Modeling for Weakly Supervised Action Labeling. | De-An Huang, Li Fei-Fei, Juan Carlos Niebles |
| 2016 | ECCV | Perceptual Losses for Real-Time Style Transfer and Super-Resolution. | Justin Johnson, Alexandre Alahi, Li Fei-Fei |
| 2016 | ECCV | 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 |
| 2016 | ECCV | Visual Relationship Detection with Language Priors. | Cewu Lu, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei |
| 2016 | MICCAI | Vision-Based Classification of Developmental Disorders Using Eye-Movements. | Guido Pusiol, Andre Esteva, Scott S. Hall, Michael C. Frank, Arnold Milstein, Li Fei-Fei |
| 2016 | SIGCSE | Toward More Gender Diversity in CS through an Artificial Intelligence Summer Program for High School Girls. | Marie E. Vachovsky, Grace Wu, Sorathan Chaturapruek, Olga Russakovsky, Richard Sommer, Li Fei-Fei |
| 2015 | CVPR | Image retrieval using scene graphs. | Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Li Fei-Fei |
| 2015 | CVPR | Deep visual-semantic alignments for generating image descriptions. | Andrej Karpathy, Li Fei-Fei |
| 2015 | CVPR | Fine-grained recognition without part annotations. | Jonathan Krause, Hailin Jin, Jianchao Yang, Li Fei-Fei |
| 2015 | CVPR | 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, Chuck Rosenberg, Li Fei-Fei |
| 2015 | CVPR | Best of both worlds: Human-machine collaboration for object annotation. | Olga Russakovsky, Li-Jia Li, Li Fei-Fei |
| 2015 | ICCV | RGB-W: When Vision Meets Wireless. | Alexandre Alahi, Albert Haque, Li Fei-Fei |
| 2015 | ICCV | Love Thy Neighbors: Image Annotation by Exploiting Image Metadata. | Justin Johnson, Lamberto Ballan, Li Fei-Fei |
| 2015 | ICCV | Learning Temporal Embeddings for Complex Video Analysis. | Vignesh Ramanathan, Kevin D. Tang, Greg Mori, Li Fei-Fei |
| 2015 | ICCV | Improving Image Classification with Location Context. | Kevin D. Tang, Manohar Paluri, Li Fei-Fei, Robert Fergus, Lubomir D. Bourdev |
| 2014 | CHI | Scalable multi-label annotation. | Jia Deng, Olga Russakovsky, Jonathan Krause, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei |
| 2014 | CogSci | Discovering the Signatures of Joint Attention in Child-Caregiver Interaction. | Guido Pusiol, Laura Soriano, Michael C. Frank, Li Fei-Fei |
| 2014 | CVPR | Socially-Aware Large-Scale Crowd Forecasting. | Alexandre Alahi, Vignesh Ramanathan, Li Fei-Fei |
| 2014 | CVPR | Large-Scale Video Classification with Convolutional Neural Networks. | Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul Sukthankar, Li Fei-Fei |
| 2014 | CVPR | Co-localization in Real-World Images. | Kevin D. Tang, Armand Joulin, Li-Jia Li, Li Fei-Fei |
| 2014 | ECCV | Efficient Image and Video Co-localization with Frank-Wolfe Algorithm. | Armand Joulin, Kevin D. Tang, Li Fei-Fei |
| 2014 | ECCV | Linking People in Videos with "Their" Names Using Coreference Resolution. | Vignesh Ramanathan, Armand Joulin, Percy Liang, Li Fei-Fei |
| 2014 | ECCV | Reasoning about Object Affordances in a Knowledge Base Representation. | Yuke Zhu, Alireza Fathi, Li Fei-Fei |
| 2014 | ICPR | Learning Features and Parts for Fine-Grained Recognition. | Jonathan Krause, Timnit Gebru, Jia Deng, Li-Jia Li, Li Fei-Fei |
| 2014 | WACV | Understanding the 3D layout of a cluttered room from multiple images. | Sid Ying-Ze Bao, Axel Furlan, Li Fei-Fei, Silvio Savarese |
| 2013 | BMVC | Free your Camera: 3D Indoor Scene Understanding from Arbitrary Camera Motion. | Axel Furlan, Stephen D. Miller, Domenico G. Sorrenti, Li Fei-Fei, Silvio Savarese |
| 2013 | CVPR | Fine-Grained Crowdsourcing for Fine-Grained Recognition. | Jia Deng, Jonathan Krause, Li Fei-Fei |
| 2013 | CVPR | Social Role Discovery in Human Events. | Vignesh Ramanathan, Bangpeng Yao, Li Fei-Fei |
| 2013 | CVPR | Discriminative Segment Annotation in Weakly Labeled Video. | Kevin D. Tang, Rahul Sukthankar, Jay Yagnik, Li Fei-Fei |
| 2013 | ICCV | Video Event Understanding Using Natural Language Descriptions. | Vignesh Ramanathan, Percy Liang, Li Fei-Fei |
| 2013 | ICCV | 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 |
| 2013 | ICCV | Combining the Right Features for Complex Event Recognition. | Kevin D. Tang, Bangpeng Yao, Li Fei-Fei, Daphne Koller |
| 2013 | ICCV | Discovering Object Functionality. | Bangpeng Yao, Jiayuan Ma, Li Fei-Fei |
| 2013 | ICRA | Object discovery in 3D scenes via shape analysis. | Andrej Karpathy, Stephen D. Miller, Li Fei-Fei |
| 2012 | ACCV | Multi-Level Structured Image Coding on High-Dimensional Image Representation. | Li-Jia Li, Jun Zhu, Hao Su, Eric P. Xing, Li Fei-Fei |
| 2012 | CVPR | Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition. | Jia Deng, Jonathan Krause, Alexander C. Berg, Li Fei-Fei |
| 2012 | CVPR | Learning latent temporal structure for complex event detection. | Kevin D. Tang, Li Fei-Fei, Daphne Koller |
| 2012 | CVPR | A codebook-free and annotation-free approach for fine-grained image categorization. | Bangpeng Yao, Gary R. Bradski, Li Fei-Fei |
| 2012 | ECCV | Object-Centric Spatial Pooling for Image Classification. | Olga Russakovsky, Yuanqing Lin, Kai Yu, Li Fei-Fei |
| 2012 | ECCV | Action Recognition with Exemplar Based 2.5D Graph Matching. | Bangpeng Yao, Li Fei-Fei |
| 2012 | HCOMP | Crowdsourcing Annotations for Visual Object Detection. | Hao Su, Jia Deng, Li Fei-Fei |
| 2012 | ICML | Efficient Euclidean Projections onto the Intersection of Norm Balls. | Adams Wei Yu, Hao Su, Li Fei-Fei |
| 2012 | KDD | Web image prediction using multivariate point processes. | Gunhee Kim, Li Fei-Fei, Eric P. Xing |
| 2011 | CVPR | Hierarchical semantic indexing for large scale image retrieval. | Jia Deng, Alexander C. Berg, Li Fei-Fei |
| 2011 | CVPR | Combining randomization and discrimination for fine-grained image categorization. | Bangpeng Yao, Aditya Khosla, Li Fei-Fei |
| 2011 | CVPR | Online detection of unusual events in videos via dynamic sparse coding. | Bin Zhao, Li Fei-Fei, Eric P. Xing |
| 2011 | ICCV | Distributed cosegmentation via submodular optimization on anisotropic diffusion. | Gunhee Kim, Eric P. Xing, Li Fei-Fei, Takeo Kanade |
| 2011 | ICCV | 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 |
| 2011 | UIST | ReVision: automated classification, analysis and redesign of chart images. | Manolis Savva, Nicholas Kong, Arti Chhajta, Li Fei-Fei, Maneesh Agrawala, Jeffrey Heer |
| 2010 | CVPR | Building and using a semantivisual image hierarchy. | Li-Jia Li, Chong Wang, Yongwhan Lim, David M. Blei, Li Fei-Fei |
| 2010 | CVPR | Efficient extraction of human motion volumes by tracking. | Juan Carlos Niebles, Bohyung Han, Li Fei-Fei |
| 2010 | CVPR | Connecting modalities: Semi-supervised segmentation and annotation of images using unaligned text corpora. | Richard Socher, Li Fei-Fei |
| 2010 | CVPR | Grouplet: A structured image representation for recognizing human and object interactions. | Bangpeng Yao, Li Fei-Fei |
| 2010 | CVPR | Modeling mutual context of object and human pose in human-object interaction activities. | Bangpeng Yao, Li Fei-Fei |
| 2010 | ECCV | What Does Classifying More Than 10, 000 Image Categories Tell Us? | Jia Deng, Alexander C. Berg, Kai Li, Li Fei-Fei |
| 2010 | ECCV | Objects as Attributes for Scene Classification. | Li-Jia Li, Hao Su, Yongwhan Lim, Li Fei-Fei |
| 2010 | ECCV | Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification. | Juan Carlos Niebles, Chih-Wei Chen, Li Fei-Fei |
| 2010 | ECCV | Attribute Learning in Large-Scale Datasets. | Olga Russakovsky, Li Fei-Fei |
| 2010 | ECCV | Image Segmentation with Topic Random Field. | Bin Zhao, Li Fei-Fei, Eric P. Xing |
| 2009 | CVPR | ImageNet: A large-scale hierarchical image database. | Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei |
| 2009 | CVPR | Towards total scene understanding: Classification, annotation and segmentation in an automatic framework. | Li-Jia Li, Richard Socher, Li Fei-Fei |
| 2009 | CVPR | A multi-view probabilistic model for 3D object classes. | Min Sun, Hao Su, Silvio Savarese, Li Fei-Fei |
| 2009 | CVPR | Simultaneous image classification and annotation. | Chong Wang, David M. Blei, Li Fei-Fei |
| 2009 | CVPR | Mining discriminative adjectives and prepositions for natural scene recognition. | Bangpeng Yao, Juan Carlos Niebles, Li Fei-Fei |
| 2009 | ICCV | Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories. | Hao Su, Min Sun, Li Fei-Fei, Silvio Savarese |
| 2008 | ECCV | Towards Scalable Dataset Construction: An Active Learning Approach. | Brendan Collins, Jia Deng, Kai Li, Li Fei-Fei |
| 2008 | ECCV | Extracting Moving People from Internet Videos. | Juan Carlos Niebles, Bohyung Han, Andras Ferencz, Li Fei-Fei |
| 2008 | ECCV | View Synthesis for Recognizing Unseen Poses of Object Classes. | Silvio Savarese, Li Fei-Fei |
| 2008 | WACV | Variational Transform Invariant Mixture of Probabilistic PCA. | Jilin Tu, Yun Fu, Aleksandar Ivanovic, Thomas S. Huang, Li Fei-Fei |
| 2007 | AAAI | OPTIMOL: A Framework for Online Picture Collection via Incremental Model Learning. | Li-Jia Li, Juan Carlos Niebles, Li Fei-Fei |
| 2007 | CVPR | OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning. | Li-Jia Li, Gang Wang, Li Fei-Fei |
| 2007 | CVPR | A Hierarchical Model of Shape and Appearance for Human Action Classification. | Juan Carlos Niebles, Li Fei-Fei |
| 2007 | ICCV | Spatially Coherent Latent Topic Model for Concurrent Segmentation and Classification of Objects and Scenes. | Liangliang Cao, Li Fei-Fei |
| 2007 | ICCV | What, where and who? Classifying events by scene and object recognition. | Li-Jia Li, Li Fei-Fei |
| 2007 | ICCV | 3D generic object categorization, localization and pose estimation. | Silvio Savarese, Li Fei-Fei |
| 2006 | BMVC | Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words. | Juan Carlos Niebles, Hongcheng Wang, Li Fei-Fei |
| 2006 | CVPR | Using Dependent Regions for Object Categorization in a Generative Framework. | Gang Wang, Ye Zhang, Li Fei-Fei |
| 2006 | ICPR | Audio-Visual Speaker Localization Using Graphical Models. | Akash Kushal, Mandar Rahurkar, Li Fei-Fei, Jean Ponce, Thomas S. Huang |
| 2006 | ICPR | Variational Shift Invariant Probabilistic PCA for Face Recognition. | Jilin Tu, Aleksandar Ivanovic, Xun Xu, Li Fei-Fei, Thomas S. Huang |
| 2005 | CVPR | A Bayesian Hierarchical Model for Learning Natural Scene Categories. | Li Fei-Fei, Pietro Perona |
| 2005 | ICCV | Learning Object Categories from Google's Image Search. | Robert Fergus, Li Fei-Fei, Pietro Perona, Andrew Zisserman |
| 2004 | CVPR | Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories. | Li Fei-Fei, Rob Fergus, Pietro Perona |
| 2003 | ICCV | A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories. | Li Fei-Fei, Robert Fergus, Pietro Perona |