Li Fei-Fei

According to our database, Li Fei-Fei authored at least 336 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1, 000 Everyday Activities and Realistic Simulation.

Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Wensi Ai, Benjamin Martinez, Hang Yin, Michael Lingelbach, Minjune Hwang, Ayano Hiranaka, Sujay Garlanka, Arman Aydin, Sharon Lee, Jiankai Sun, Mona Anvari, Manasi Sharma, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R. Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Yunzhu Li, Silvio Savarese, Hyowon Gweon, C. Karen Liu, Jiajun Wu, Li Fei-Fei

CoRR, 2024

DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation.

Chen Wang, Haochen Shi, Weizhuo Wang, Ruohan Zhang, Li Fei-Fei, C. Karen Liu

CoRR, 2024

Position Paper: Agent AI Towards a Holistic Intelligence.

Qiuyuan Huang, Naoki Wake, Bidipta Sarkar, Zane Durante, Ran Gong, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Noboru Kuno, Ade Famoti, Ashley J. Llorens, John Langford, Hoi Vo, Li Fei-Fei, Katsushi Ikeuchi, Jianfeng Gao

CoRR, 2024

An Interactive Agent Foundation Model.

Zane Durante, Bidipta Sarkar, Ran Gong, Rohan Taori, Yusuke Noda, Paul Tang, Ehsan Adeli, Shrinidhi Kowshika Lakshmikanth, Kevin A. Schulman, Arnold Milstein, Demetri Terzopoulos, Ade Famoti, Noboru Kuno, Ashley J. Llorens, Hoi Vo, Katsushi Ikeuchi, Li Fei-Fei, Jianfeng Gao, Naoki Wake, Qiuyuan Huang

CoRR, 2024

Agent AI: Surveying the Horizons of Multimodal Interaction.

Zane Durante, Qiuyuan Huang, Naoki Wake, Ran Gong, Jae Sung Park, Bidipta Sarkar, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Yejin Choi, Katsushi Ikeuchi, Hoi Vo, Li Fei-Fei, Jianfeng Gao

CoRR, 2024

Wild2Avatar: Rendering Humans Behind Occlusions.

Tiange Xiang, Adam Sun, Scott L. Delp, Kazuki Kozuka, Li Fei-Fei, Ehsan Adeli

CoRR, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Guest Editorial: Introduction to the Special Section on Graphs in Vision and Pattern Analysis.

Song Bai, Philip H. S. Torr, Ranjay Krishna, Li Fei-Fei, Abhinav Gupta, Song-Chun Zhu

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Photorealistic Video Generation with Diffusion Models.

Agrim Gupta, Lijun Yu, Kihyuk Sohn, Xiuye Gu, Meera Hahn, Li Fei-Fei, Irfan Essa, Lu Jiang, José Lezama

CoRR, 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

CoRR, 2023

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

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

CoRR, 2023

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

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

CoRR, 2023

D³Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Robotic Manipulation.

Yixuan Wang, Zhuoran Li, Mingtong Zhang, Katherine Rose Driggs-Campbell, Jiajun Wu, Li Fei-Fei, Yunzhu Li

CoRR, 2023

MindAgent: Emergent Gaming Interaction.

Ran Gong, Qiuyuan Huang, Xiaojian Ma, Hoi Vo, Zane Durante, Yusuke Noda, Zilong Zheng, Song-Chun Zhu, Demetri Terzopoulos, Li Fei-Fei, Jianfeng Gao

CoRR, 2023

HomE: Homography-Equivariant Video Representation Learning.

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

CoRR, 2023

The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects.

Ruohan Gao, Yiming Dou, Hao Li, Tanmay Agarwal, Jeannette Bohg, Yunzhu Li, Li Fei-Fei, Jiajun Wu

CoRR, 2023

Dynamic-Resolution Model Learning for Object Pile Manipulation.

Yixuan Wang, Yunzhu Li, Katherine Driggs Campbell, Li Fei-Fei, Jiajun Wu

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Holistic Evaluation of Text-to-Image Models.

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

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

Siamese Masked Autoencoders.

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

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

Model-Based Control with Sparse Neural Dynamics.

Ziang Liu, Genggeng Zhou, Jeff He, Tobia Marcucci, Fei-Fei Li, Jiajun Wu, Yunzhu Li

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

Primitive Skill-Based Robot Learning from Human Evaluative Feedback.

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

IROS, 2023

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

IROS, 2023

M-EMBER: Tackling Long-Horizon Mobile Manipulation via Factorized Domain Transfer.

Bohan Wu, Roberto Martín-Martín, Li Fei-Fei

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

Task-Driven Graph Attention for Hierarchical Relational Object Navigation.

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

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

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

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

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

Modeling Dynamic Environments with Scene Graph Memory.

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

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the International Conference on Machine Learning, 2023

MaskViT: Masked Visual Pre-Training for Video Prediction.

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Rendering Humans from Object-Occluded Monocular Videos.

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

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

The Object Folder Benchmark : Multisensory Learning with Neural and Real Objects.

Ruohan Gao, Yiming Dou, Hao Li, Tanmay Agarwal, Jeannette Bohg, Yunzhu Li, Li Fei-Fei, Jiajun Wu

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

NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities.

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

Proceedings of the Conference on Robot Learning, 2023

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

Proceedings of the Conference on Robot Learning, 2023

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models.

Wenlong Huang, Chen Wang, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Li Fei-Fei

Proceedings of the Conference on Robot Learning, 2023

Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation.

Yuanpei Chen, Chen Wang, Li Fei-Fei, C. Karen Liu

Proceedings of the Conference on Robot Learning, 2023

2022

Author Correction: Advances, challenges and opportunities in creating data for trustworthy AI.

Weixin Liang, Girmaw Abebe Tadesse, Daniel E. Ho, Li Fei-Fei, Matei Zaharia, Ce Zhang, James Zou

Nat. Mac. Intell., October, 2022

Generalizable Task Planning Through Representation Pretraining.

Chen Wang, Danfei Xu, Li Fei-Fei

IEEE Robotics Autom. Lett., 2022

Advances, challenges and opportunities in creating data for trustworthy AI.

Weixin Liang, Girmaw Abebe Tadesse, Daniel E. Ho, Li Fei-Fei, Matei Zaharia, Ce Zhang, James Zou

Nat. Mach. Intell., 2022

Active Task Randomization: Learning Visuomotor Skills for Sequential Manipulation by Proposing Feasible and Novel Tasks.

Kuan Fang, Toki Migimatsu, Ajay Mandlekar, Li Fei-Fei, Jeannette Bohg

CoRR, 2022

Retrospectives on the Embodied AI Workshop.

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

CoRR, 2022

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

CoRR, 2022

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

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

CoRR, 2022

ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward.

Zixian Ma, Rose Wang, Fei-Fei Li, Michael S. Bernstein, Ranjay Krishna

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

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

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

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

A Study of Face Obfuscation in ImageNet.

Kaiyu Yang, Jacqueline H. Yau, Li Fei-Fei, Jia Deng, Olga Russakovsky

Proceedings of the International Conference on Machine Learning, 2022

MetaMorph: Learning Universal Controllers with Transformers.

Agrim Gupta, Linxi Fan, Surya Ganguli, Li Fei-Fei

Proceedings of the Tenth International Conference on Learning Representations, 2022

PrivHAR: Recognizing Human Actions from Privacy-Preserving Lens.

Carlos Hinojosa, Miguel Marquez, Henry Arguello, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles

Proceedings of the Computer Vision - ECCV 2022, 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 L. Rubin

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

ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer.

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

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

Revisiting the "Video" in Video-Language Understanding.

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

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

A Dual Representation Framework for Robot Learning with Human Guidance.

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

Proceedings of the Conference on Robot Learning, 2022

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

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

Proceedings of the Conference on Robot Learning, 2022

BEHAVIOR-1K: A Benchmark for Embodied AI with 1, 000 Everyday Activities and Realistic Simulation.

Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Michael Lingelbach, Jiankai Sun, Mona Anvari, Minjune Hwang, Manasi Sharma, Arman Aydin, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R. Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Silvio Savarese, Hyowon Gweon, C. Karen Liu, Jiajun Wu, Li Fei-Fei

Proceedings of the Conference on Robot Learning, 2022

2021

Next Big Challenges in Core AI Technology.

Andreas Dengel, Oren Etzioni, Nicole DeCario, Holger H. Hoos, Li Fei-Fei, Junichi Tsujii, Paolo Traverso

Proceedings of the Reflections on Artificial Intelligence for Humanity, 2021

Neural Event Semantics for Grounded Language Understanding.

Shyamal Buch, Li Fei-Fei, Noah D. Goodman

Trans. Assoc. Comput. Linguistics, 2021

Quantifying Parkinson's disease motor severity under uncertainty using MDS-UPDRS videos.

Mandy Lu, Qingyu Zhao, Kathleen L. Poston, Edith V. Sullivan, Adolf Pfefferbaum, Marian Shahid, Maya Katz, Leila Montaser Kouhsari, Kevin A. Schulman, Arnold Milstein, Juan Carlos Niebles, Victor W. Henderson, Li Fei-Fei, Kilian M. Pohl, Ehsan Adeli

Medical Image Anal., 2021

Visual Intelligence through Human Interaction.

Ranjay Krishna, Mitchell L. Gordon, Li Fei-Fei, Michael S. Bernstein

CoRR, 2021

On the Opportunities and Risks of Foundation Models.

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.

CoRR, 2021

Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning.

Kaylee Burns, Christopher D. Manning, Li Fei-Fei

CoRR, 2021

Physion: Evaluating Physical Prediction from Vision in Humans and Machines.

Daniel M. Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiau-Yu Fish Tung, R. T. Pramod, Cameron Holdaway, Sirui Tao, Kevin A. Smith, Fan-Yun Sun, Li Fei-Fei, Nancy Kanwisher, Joshua B. Tenenbaum, Daniel L. K. Yamins, Judith E. Fan

CoRR, 2021

Embodied Intelligence via Learning and Evolution.

Agrim Gupta, Silvio Savarese, Surya Ganguli, Li Fei-Fei

CoRR, 2021

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

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Discovering Generalizable Skills via Automated Generation of Diverse Tasks.

Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

MOMA: Multi-Object Multi-Actor Activity Parsing.

Zelun Luo, Wanze Xie, Siddharth Kapoor, Yiyun Liang, Michael Cooper, Juan Carlos Niebles, Ehsan Adeli, Fei-Fei Li

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

Physion: Evaluating Physical Prediction from Vision in Humans and Machines.

Daniel Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiao-Yu Tung, R. T. Pramod, Cameron Holdaway, Sirui Tao, Kevin A. Smith, Fan-Yun Sun, Fei-Fei Li, Nancy Kanwisher, Josh Tenenbaum, Dan Yamins, Judith E. Fan

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes.

Bokui Shen, Fei Xia, Chengshu Li, Roberto Martín-Martín, Linxi Fan, Guanzhi Wang, Claudia Pérez-D'Arpino, Shyamal Buch, Sanjana Srivastava, Lyne Tchapmi, Micael Tchapmi, Kent Vainio, Josiah Wong, Li Fei-Fei, Silvio Savarese

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Deep Affordance Foresight: Planning Through What Can Be Done in the Future.

Danfei Xu, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Silvio Savarese, Li Fei-Fei

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning Multi-Arm Manipulation Through Collaborative Teleoperation.

Albert Tung, Josiah Wong, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese

Proceedings of the IEEE International Conference on Robotics and Automation, 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

Proceedings of the 38th International Conference on Machine Learning, 2021

Adaptive Procedural Task Generation for Hard-Exploration Problems.

Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei

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

Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction.

Bohan Wu, Suraj Nair, Roberto Martín-Martín, Li Fei-Fei, Chelsea Finn

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

Scalable Differential Privacy With Sparse Network Finetuning.

Zelun Luo, Daniel J. Wu, Ehsan Adeli, Li Fei-Fei

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

Metadata Normalization.

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

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

Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks.

Bohan Wu, Suraj Nair, Li Fei-Fei, Chelsea Finn

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

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

Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration.

Chen Wang, Claudia Pérez-D'Arpino, Danfei Xu, Li Fei-Fei, C. Karen Liu, Silvio Savarese

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

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

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

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

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

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

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

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

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

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

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

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

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

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks.

Michelle A. Lee, Yuke Zhu, Peter Zachares, Matthew Tan, Krishnan Srinivasan, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg

IEEE Trans. Robotics, 2020

Conceptual Metaphors Impact Perceptions of Human-AI Collaboration.

Pranav Khadpe, Ranjay Krishna, Li Fei-Fei, Jeffrey T. Hancock, Michael S. Bernstein

Proc. ACM Hum. Comput. Interact., 2020

Assessing the accuracy of automatic speech recognition for psychotherapy.

Adam S. Miner, Albert Haque, Jason A. Fries, Scott L. Fleming, Denise E. Wilfley, G. Terence Wilson, Arnold Milstein, Dan Jurafsky, Bruce A. Arnow, W. Stewart Agras, Li Fei-Fei, Nigam H. Shah

npj Digit. Medicine, 2020

Illuminating the dark spaces of healthcare with ambient intelligence.

Albert Haque, Arnold Milstein, Li Fei-Fei

Nat., 2020

Automatic detection of hand hygiene using computer vision technology.

Amit Singh, Albert Haque, Alexandre Alahi, Serena Yeung, Michelle Guo, Jill R. Glassman, William Beninati, Terry Platchek, Li Fei-Fei, Arnold Milstein

J. Am. Medical Informatics Assoc., 2020

Learning task-oriented grasping for tool manipulation from simulated self-supervision.

Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese

Int. J. Robotics Res., 2020

Human-in-the-Loop Imitation Learning using Remote Teleoperation.

Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese

CoRR, 2020

iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes.

Bokui Shen, Fei Xia, Chengshu Li, Roberto Martín-Martín, Linxi Fan, Guanzhi Wang, Shyamal Buch, Claudia D'Arpino, Sanjana Srivastava, Lyne P. Tchapmi, Micael E. Tchapmi, Kent Vainio, Li Fei-Fei, Silvio Savarese

CoRR, 2020

Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations.

Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Silvio Savarese, Li Fei-Fei

CoRR, 2020

GTI: Learning to Generalize across Long-Horizon Tasks from Human Demonstrations.

Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Silvio Savarese, Li Fei-Fei

Proceedings of the Robotics: Science and Systems XVI, 2020

Learning Physical Graph Representations from Visual Scenes.

Daniel Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li Fei-Fei, Jiajun Wu, Josh Tenenbaum, Daniel L. K. Yamins

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs.

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

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

6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints.

Chen Wang, Roberto Martín-Martín, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, Yuke Zhu

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

KETO: Learning Keypoint Representations for Tool Manipulation.

Zengyi Qin, Kuan Fang, Yuke Zhu, Li Fei-Fei, Silvio Savarese

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

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

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

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

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

Towards fairer datasets: filtering and balancing the distribution of the people subtree in the ImageNet hierarchy.

Kaiyu Yang, Klint Qinami, Li Fei-Fei, Jia Deng, Olga Russakovsky

Proceedings of the FAT* '20: Conference on Fairness, 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

Proceedings of the Computer Vision - ECCV 2020, 2020

Procedure Planning in Instructional Videos.

Chien-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles

Proceedings of the Computer Vision - ECCV 2020, 2020

Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs.

Jingwei Ji, Ranjay Krishna, Li Fei-Fei, Juan Carlos Niebles

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

2019

A computer vision system for deep learning-based detection of patient mobilization activities in the ICU.

Serena Yeung, Francesca Rinaldo, Jeffrey Jopling, Bingbin Liu, Rishab Mehra, N. Lance Downing, Michelle Guo, Gabriel M. Bianconi, Alexandre Alahi, Julia Lee, Brandi Campbell, Kayla Deru, William Beninati, Li Fei-Fei, Arnold Milstein

npj Digit. Medicine, 2019

Automated abnormality detection in lower extremity radiographs using deep learning.

Maya Varma, Mandy Lu, Rachel Gardner, Jared Dunnmon, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Christopher Beaulieu, Katie S. Shpanskaya, Li Fei-Fei, Matthew P. Lungren, Bhavik N. Patel

Nat. Mach. Intell., 2019

Action Genome: Actions as Composition of Spatio-temporal Scene Graphs.

Jingwei Ji, Ranjay Krishna, Li Fei-Fei, Juan Carlos Niebles

CoRR, 2019

Deep Bayesian Active Learning for Multiple Correct Outputs.

Khaled Jedoui, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei

CoRR, 2019

IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data.

Ajay Mandlekar, Fabio Ramos, Byron Boots, Li Fei-Fei, Animesh Garg, Dieter Fox

CoRR, 2019

Bias-Resilient Neural Network.

Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Juan Carlos Niebles, Kilian M. Pohl

CoRR, 2019

Causal Induction from Visual Observations for Goal Directed Tasks.

Suraj Nair, Yuke Zhu, Silvio Savarese, Li Fei-Fei

CoRR, 2019

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

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

CoRR, 2019

SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning.

Linxi Fan, Yuke Zhu, Jiren Zhu, Zihua Liu, Orien Zeng, Anchit Gupta, Joan Creus-Costa, Silvio Savarese, Li Fei-Fei

CoRR, 2019

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

CoRR, 2019

HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models.

Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Li Fei-Fei, Michael S. Bernstein

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

Regression Planning Networks.

Danfei Xu, Roberto Martín-Martín, De-An Huang, Yuke Zhu, Silvio Savarese, Li Fei-Fei

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

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

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

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

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

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

Proceedings of the International Conference on Robotics and Automation, 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

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

Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction.

Apoorva Dornadula, Austin Narcomey, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei

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

Situational Fusion of Visual Representation for Visual Navigation.

William B. Shen, Danfei Xu, Yuke Zhu, Li Fei-Fei, Leonidas J. Guibas, Silvio Savarese

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

Scene Graph Prediction With Limited Labels.

Ranjay Krishna, Vincent S. Chen, Paroma Varma, Michael S. Bernstein, Christopher Ré, Li Fei-Fei

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

Audio-linguistic Embeddings for Spoken Sentences.

Albert Haque, Michelle Guo, Prateek Verma, Li Fei-Fei

Proceedings of the IEEE International Conference on Acoustics, 2019

AI-Based Request Augmentation to Increase Crowdsourcing Participation.

Junwon Park, Ranjay Krishna, Pranav Khadpe, Li Fei-Fei, Michael S. Bernstein

Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Information Maximizing Visual Question Generation.

Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks.

Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation.

Kuan Fang, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei

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

Thoracic Disease Identification and Localization with Limited Supervision.

Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018

Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos.

Serena Yeung, Olga Russakovsky, Ning Jin, Mykhaylo Andriluka, Greg Mori, Li Fei-Fei

Int. J. Comput. Vis., 2018

Vision-Based Gait Analysis for Senior Care.

David Xue, Anin Sayana, Evan Darke, Kelly Shen, Jun-Ting Hsieh, Zelun Luo, Li-Jia Li, N. Lance Downing, Arnold Milstein, Li Fei-Fei

CoRR, 2018

Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference.

Edward Chou, Josh Beal, Daniel Levy, Serena Yeung, Albert Haque, Li Fei-Fei

CoRR, 2018

A Fully Private Pipeline for Deep Learning on Electronic Health Records.

Edward Chou, Thao Nguyen, Josh Beal, Albert Haque, Li Fei-Fei

CoRR, 2018

Privacy-Preserving Action Recognition for Smart Hospitals using Low-Resolution Depth Images.

Edward Chou, Matthew Tan, Cherry Zou, Michelle Guo, Albert Haque, Arnold Milstein, Li Fei-Fei

CoRR, 2018

Measuring Depression Symptom Severity from Spoken Language and 3D Facial Expressions.

Albert Haque, Michelle Guo, Adam S. Miner, Li Fei-Fei

CoRR, 2018

DDRprog: A CLEVR Differentiable Dynamic Reasoning Programmer.

Joseph Suarez, Justin Johnson, Li Fei-Fei

CoRR, 2018

Learning to Play with Intrinsically-Motivated Self-Aware Agents.

Nick Haber, Damian Mrowca, Li Fei-Fei, Daniel L. K. Yamins

CoRR, 2018

Scaling Human-Object Interaction Recognition Through Zero-Shot Learning.

Liyue Shen, Serena Yeung, Judy Hoffman, Greg Mori, Li Fei-Fei

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 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

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Engagement Learning: Expanding Visual Knowledge by Engaging Online Participants.

Ranjay Krishna, Donsuk Lee, Li Fei-Fei, Michael S. Bernstein

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

Flexible neural representation for physics prediction.

Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li Fei-Fei, Josh Tenenbaum, Daniel L. K. Yamins

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

Learning to Decompose and Disentangle Representations for Video Prediction.

Jun-Ting Hsieh, Bingbin Liu, De-An Huang, Li Fei-Fei, Juan Carlos Niebles

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

Learning to Play With Intrinsically-Motivated, Self-Aware Agents.

Nick Haber, Damian Mrowca, Stephanie Wang, Li Fei-Fei, Daniel L. K. Yamins

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

Proceedings of the Machine Learning for Healthcare Conference, 2018

Neural Task Programming: Learning to Generalize Across Hierarchical Tasks.

Danfei Xu, Suraj Nair, Yuke Zhu, Julian Gao, Animesh Garg, Li Fei-Fei, Silvio Savarese

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

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

Proceedings of the 35th International Conference on Machine Learning, 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

Proceedings of the 35th International Conference on Machine Learning, 2018

HiDDeN: Hiding Data With Deep Networks.

Jiren Zhu, Russell Kaplan, Justin Johnson, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2018, 2018

Graph Distillation for Action Detection with Privileged Modalities.

Zelun Luo, Jun-Ting Hsieh, Lu Jiang, Juan Carlos Niebles, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2018, 2018

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

Proceedings of the Computer Vision - ECCV 2018, 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

Proceedings of the Computer Vision - ECCV 2018, 2018

Dynamic Task Prioritization for Multitask Learning.

Michelle Guo, Albert Haque, De-An Huang, Serena Yeung, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2018, 2018

Neural Graph Matching Networks for Fewshot 3D Action Recognition.

Michelle Guo, Edward Chou, De-An Huang, Shuran Song, Serena Yeung, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2018, 2018

Thoracic Disease Identification and Localization With Limited Supervision.

Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei

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

Referring Relationships.

Ranjay Krishna, Ines Chami, Michael S. Bernstein, Li Fei-Fei

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

Image Generation From Scene Graphs.

Justin Johnson, Agrim Gupta, Li Fei-Fei

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

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

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

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

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

Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks.

Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, Alexandre Alahi

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

Iterative Visual Reasoning Beyond Convolutions.

Xinlei Chen, Li-Jia Li, Li Fei-Fei, Abhinav Gupta

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

Proceedings of the 2nd Annual Conference on Robot Learning, 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

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Emergence of Structured Behaviors from Curiosity-Based Intrinsic Motivation.

Nick Haber, Damian Mrowca, Li Fei-Fei, Daniel L. K. Yamins

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States.

Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Erez Lieberman Aiden, Li Fei-Fei

Proc. Natl. Acad. Sci. USA, 2017

Deep Visual-Semantic Alignments for Generating Image Descriptions.

Andrej Karpathy, Li Fei-Fei

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Evidence for similar patterns of neural activity elicited by picture- and word-based representations of natural scenes.

Manoj Kumar, Kara D. Federmeier, Li Fei-Fei, Diane M. Beck

NeuroImage, 2017

Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations.

Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Li Fei-Fei

Int. J. Comput. Vis., 2017

MentorNet: Regularizing Very Deep Neural Networks on Corrupted Labels.

Lu Jiang, Zhengyuan Zhou, Thomas Leung, Li-Jia Li, Li Fei-Fei

CoRR, 2017

Progressive Neural Architecture Search.

Chenxi Liu, Barret Zoph, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy

CoRR, 2017

Label Efficient Learning of Transferable Representations across Domains and Tasks.

Zelun Luo, Yuliang Zou, Judy Hoffman, Li Fei-Fei

CoRR, 2017

Graph Distillation for Action Detection with Privileged Information.

Zelun Luo, Lu Jiang, Jun-Ting Hsieh, Juan Carlos Niebles, Li Fei-Fei

CoRR, 2017

Tackling Over-pruning in Variational Autoencoders.

Serena Yeung, Anitha Kannan, Yann N. Dauphin, Li Fei-Fei

CoRR, 2017

Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US.

Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Erez Aiden Lieberman, Li Fei-Fei

CoRR, 2017

Label Efficient Learning of Transferable Representations acrosss Domains and Tasks.

Zelun Luo, Yuliang Zou, Judy Hoffman, Li Fei-Fei

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 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, N. Lance Downing, William Beninati, Amit Singh, Terry Platchek, Arnold Milstein, Li Fei-Fei

Proceedings of the Machine Learning for Health Care Conference, 2017

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

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations.

Ajay Mandlekar, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

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

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Unsupervised camera localization in crowded spaces.

Alexandre Alahi, Judson Wilson, Li Fei-Fei, Silvio Savarese

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 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

Proceedings of the IEEE International Conference on Computer Vision, 2017

Dense-Captioning Events in Videos.

Ranjay Krishna, Kenji Hata, Frederic Ren, Li Fei-Fei, Juan Carlos Niebles

Proceedings of the IEEE International Conference on Computer Vision, 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 B. Girshick

Proceedings of the IEEE International Conference on Computer Vision, 2017

Characterizing and Improving Stability in Neural Style Transfer.

Agrim Gupta, Justin Johnson, Alexandre Alahi, Li Fei-Fei

Proceedings of the IEEE International Conference on Computer Vision, 2017

Fine-Grained Recognition in the Wild: A Multi-task Domain Adaptation Approach.

Timnit Gebru, Judy Hoffman, Li Fei-Fei

Proceedings of the IEEE International Conference on Computer Vision, 2017

Knowledge Acquisition for Visual Question Answering via Iterative Querying.

Yuke Zhu, Joseph J. Lim, Li Fei-Fei

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

Learning to Learn from Noisy Web Videos.

Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei

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

Scene Graph Generation by Iterative Message Passing.

Danfei Xu, Yuke Zhu, Christopher B. Choy, Li Fei-Fei

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

Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals.

Katsuyuki Nakamura, Serena Yeung, Alexandre Alahi, Li Fei-Fei

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

Unsupervised Learning of Long-Term Motion Dynamics for Videos.

Zelun Luo, Boya Peng, De-An Huang, Alexandre Alahi, Li Fei-Fei

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

A Hierarchical Approach for Generating Descriptive Image Paragraphs.

Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei

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

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

Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos.

De-An Huang, Joseph J. Lim, Li Fei-Fei, Juan Carlos Niebles

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

A Glimpse Far into the Future: Understanding Long-term Crowd Worker Quality.

Kenji Hata, Ranjay Krishna, Li Fei-Fei, Michael S. Bernstein

Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

Scalable Annotation of Fine-Grained Categories Without Experts.

Timnit Gebru, Jonathan Krause, Jia Deng, Li Fei-Fei

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

End-to-End, Single-Stream Temporal Action Detection in Untrimmed Videos.

Shyamal Buch, Victor Escorcia, Bernard Ghanem, Li Fei-Fei, Juan Carlos Niebles

Proceedings of the British Machine Vision Conference 2017, 2017

Computer Vision-based Approach to Maintain Independent Living for Seniors.

Zelun Luo, Alisha Rege, Guido Pusiol, Arnold Milstein, Li Fei-Fei, N. Lance Downing

Proceedings of the AMIA 2017, 2017

Fine-Grained Car Detection for Visual Census Estimation.

Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Learning to Predict Human Behavior in Crowded Scenes.

Alexandre Alahi, Vignesh Ramanathan, Kratarth Goel, Alexandre Robicquet, Amir A. Sadeghian, Li Fei-Fei, Silvio Savarese

Proceedings of the Group and Crowd Behavior for Computer Vision, 1st Edition, 2017

Tracking Millions of Humans in Crowded Spaces.

Alexandre Alahi, Vignesh Ramanathan, Li Fei-Fei

Proceedings of the Group and Crowd Behavior for Computer Vision, 1st Edition, 2017

2016

ITOP Dataset.

Albert Haque, Boya Peng, Zelun Luo, Alexandre Alahi, Serena Yeung, Li Fei-Fei

Dataset, October, 2016

Leveraging the Wisdom of the Crowd for Fine-Grained Recognition.

Jia Deng, Jonathan Krause, Michael Stark, Li Fei-Fei

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Typicality sharpens category representations in object-selective cortex.

Marius Catalin Iordan, Michelle R. Greene, Diane M. Beck, Li Fei-Fei

NeuroImage, 2016

Crowdsourcing in Computer Vision.

Adriana Kovashka, Olga Russakovsky, Li Fei-Fei, Kristen Grauman

Found. Trends Comput. Graph. Vis., 2016

A Glimpse Far into the Future: Understanding Long-term Crowd Worker Accuracy.

Kenji Hata, Ranjay Krishna, Li Fei-Fei, Michael S. Bernstein

CoRR, 2016

Viewpoint Invariant 3D Human Pose Estimation with Recurrent Error Feedback.

Albert Haque, Boya Peng, Zelun Luo, Alexandre Alahi, Serena Yeung, Li Fei-Fei

CoRR, 2016

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

Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

Vision-Based Classification of Developmental Disorders Using Eye-Movements.

Guido Pusiol, Andre Esteva, Scott S. Hall, Michael C. Frank, Arnold Milstein, Li Fei-Fei

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Visual Relationship Detection with Language Priors.

Cewu Lu, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2016, 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

Proceedings of the Computer Vision - ECCV 2016, 2016

Perceptual Losses for Real-Time Style Transfer and Super-Resolution.

Justin Johnson, Alexandre Alahi, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2016, 2016

Connectionist Temporal Modeling for Weakly Supervised Action Labeling.

De-An Huang, Li Fei-Fei, Juan Carlos Niebles

Proceedings of the Computer Vision - ECCV 2016, 2016

Towards Viewpoint Invariant 3D Human Pose Estimation.

Albert Haque, Boya Peng, Zelun Luo, Alexandre Alahi, Serena Yeung, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2016, 2016

What's the Point: Semantic Segmentation with Point Supervision.

Amy L. Bearman, Olga Russakovsky, Vittorio Ferrari, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2016, 2016

Visual7W: Grounded Question Answering in Images.

Yuke Zhu, Oliver Groth, Michael S. Bernstein, Li Fei-Fei

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

End-to-End Learning of Action Detection from Frame Glimpses in Videos.

Serena Yeung, Olga Russakovsky, Greg Mori, Li Fei-Fei

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

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

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

DenseCap: Fully Convolutional Localization Networks for Dense Captioning.

Justin Johnson, Andrej Karpathy, Li Fei-Fei

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Recurrent Attention Models for Depth-Based Person Identification.

Albert Haque, Alexandre Alahi, Li Fei-Fei

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Social LSTM: Human Trajectory Prediction in Crowded Spaces.

Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, Silvio Savarese

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Embracing Error to Enable Rapid Crowdsourcing.

Ranjay A. Krishna, Kenji Hata, Stephanie Chen, Joshua Kravitz, David A. Shamma, Li Fei-Fei, Michael S. Bernstein

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

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

Proceedings of the AMIA 2016, 2016

2015

RGB-W Dataset.

Alexandre Alahi, Albert Haque, Li Fei-Fei

Dataset, December, 2015

Basic Level Category Structure Emerges Gradually across Human Ventral Visual Cortex.

Marius Catalin Iordan, Michelle R. Greene, Diane M. Beck, Li Fei-Fei

J. Cogn. Neurosci., 2015

ImageNet Large Scale Visual Recognition Challenge.

Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei

Int. J. Comput. Vis., 2015

Building a Large-scale Multimodal Knowledge Base for Visual Question Answering.

Yuke Zhu, Ce Zhang, Christopher Ré, Li Fei-Fei

CoRR, 2015

Visualizing and Understanding Recurrent Networks.

Andrej Karpathy, Justin Johnson, Li Fei-Fei

CoRR, 2015

SentenceRacer: A Game with a Purpose for Image Sentence Annotation.

Kenji Hata, Sherman Leung, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei

CoRR, 2015

Improving Image Classification with Location Context.

Kevin D. Tang, Manohar Paluri, Li Fei-Fei, Robert Fergus, Lubomir D. Bourdev

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning Temporal Embeddings for Complex Video Analysis.

Vignesh Ramanathan, Kevin D. Tang, Greg Mori, Li Fei-Fei

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Love Thy Neighbors: Image Annotation by Exploiting Image Metadata.

Justin Johnson, Lamberto Ballan, Li Fei-Fei

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

RGB-W: When Vision Meets Wireless.

Alexandre Alahi, Albert Haque, Li Fei-Fei

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Best of both worlds: Human-machine collaboration for object annotation.

Olga Russakovsky, Li-Jia Li, Li Fei-Fei

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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, Chuck Rosenberg, Li Fei-Fei

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

Fine-grained recognition without part annotations.

Jonathan Krause, Hailin Jin, Jianchao Yang, Li Fei-Fei

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

Image retrieval using scene graphs.

Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Li Fei-Fei

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

Generating Semantically Precise Scene Graphs from Textual Descriptions for Improved Image Retrieval.

Sebastian Schuster, Ranjay Krishna, Angel X. Chang, Li Fei-Fei, Christopher D. Manning

Proceedings of the Fourth Workshop on Vision and Language, 2015

2014

Object Bank: An Object-Level Image Representation for High-Level Visual Recognition.

Li-Jia Li, Hao Su, Yongwhan Lim, Li Fei-Fei

Int. J. Comput. Vis., 2014

VideoSET: Video Summary Evaluation through Text.

Serena Yeung, Alireza Fathi, Li Fei-Fei

CoRR, 2014

Affordances Provide a Fundamental Categorization Principle for Visual Scenes.

Michelle R. Greene, Christopher Baldassano, Andre Esteva, Diane M. Beck, Li Fei-Fei

CoRR, 2014

Visual Noise from Natural Scene Statistics Reveals Human Scene Category Representations.

Michelle R. Greene, Abraham P. Botros, Diane M. Beck, Li Fei-Fei

CoRR, 2014

Understanding the 3D layout of a cluttered room from multiple images.

Sid Ying-Ze Bao, Axel Furlan, Li Fei-Fei, Silvio Savarese

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Deep Fragment Embeddings for Bidirectional Image Sentence Mapping.

Andrej Karpathy, Armand Joulin, Li Fei-Fei

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Learning Features and Parts for Fine-Grained Recognition.

Jonathan Krause, Timnit Gebru, Jia Deng, Li-Jia Li, Li Fei-Fei

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Reasoning about Object Affordances in a Knowledge Base Representation.

Yuke Zhu, Alireza Fathi, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2014, 2014

Linking People in Videos with "Their" Names Using Coreference Resolution.

Vignesh Ramanathan, Armand Joulin, Percy Liang, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2014, 2014

Efficient Image and Video Co-localization with Frank-Wolfe Algorithm.

Armand Joulin, Kevin D. Tang, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2014, 2014

Co-localization in Real-World Images.

Kevin D. Tang, Armand Joulin, Li-Jia Li, Li Fei-Fei

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

Large-Scale Video Classification with Convolutional Neural Networks.

Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul Sukthankar, Li Fei-Fei

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

Socially-Aware Large-Scale Crowd Forecasting.

Alexandre Alahi, Vignesh Ramanathan, Li Fei-Fei

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

Discovering the Signatures of Joint Attention in Child-Caregiver Interaction.

Guido Pusiol, Laura Soriano, Michael C. Frank, Li Fei-Fei

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

Scalable multi-label annotation.

Jia Deng, Olga Russakovsky, Jonathan Krause, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

Social Role Recognition for Human Event Understanding.

Vignesh Ramanathan, Bangpeng Yao, Li Fei-Fei

Proceedings of the Human-Centered Social Media Analytics, 2014

Integrating Randomization and Discrimination for Classifying Human-Object Interaction Activities.

Aditya Khosla, Bangpeng Yao, Li Fei-Fei

Proceedings of the Human-Centered Social Media Analytics, 2014

2013

Differential connectivity within the Parahippocampal Place Area.

Christopher Baldassano, Diane M. Beck, Li Fei-Fei

NeuroImage, 2013

TRECVID 2013 GENIE: Multimedia Event Detection and Recounting.

Sangmin Oh, A. G. Amitha Perera, Ilseo Kim, Megha Pandey, Kevin J. Cannons, Hossein Hajimirsadeghi, Arash Vahdat, Greg Mori, Ben Miller, Scott McCloskey, You-Chi Cheng, Zhen Huang, Chin-Hui Lee, Chenliang Xu, Rohit Kumar, Wei Chen, Jason J. Corso, Li Fei-Fei, Daphne Koller, Vignesh Ramanathan, Kevin Tang, Armand Joulin, Alexandre Alahi

Proceedings of the 2013 TREC Video Retrieval Evaluation, 2013

Object discovery in 3D scenes via shape analysis.

Andrej Karpathy, Stephen D. Miller, Li Fei-Fei

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

3D Object Representations for Fine-Grained Categorization.

Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei

Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

Discovering Object Functionality.

Bangpeng Yao, Jiayuan Ma, Li Fei-Fei

Proceedings of the IEEE International Conference on Computer Vision, 2013

Combining the Right Features for Complex Event Recognition.

Kevin D. Tang, Bangpeng Yao, Li Fei-Fei, Daphne Koller

Proceedings of the IEEE International Conference on Computer Vision, 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

Proceedings of the IEEE International Conference on Computer Vision, 2013

Video Event Understanding Using Natural Language Descriptions.

Vignesh Ramanathan, Percy Liang, Li Fei-Fei

Proceedings of the IEEE International Conference on Computer Vision, 2013

Discriminative Segment Annotation in Weakly Labeled Video.

Kevin D. Tang, Rahul Sukthankar, Jay Yagnik, Li Fei-Fei

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

Social Role Discovery in Human Events.

Vignesh Ramanathan, Bangpeng Yao, Li Fei-Fei

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

Fine-Grained Crowdsourcing for Fine-Grained Recognition.

Jia Deng, Jonathan Krause, Li Fei-Fei

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

Free your Camera: 3D Indoor Scene Understanding from Arbitrary Camera Motion.

Axel Furlan, Stephen D. Miller, Domenico G. Sorrenti, Li Fei-Fei, Silvio Savarese

Proceedings of the British Machine Vision Conference, 2013

2012

Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses.

Bangpeng Yao, Li Fei-Fei

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Voxel-level functional connectivity using spatial regularization.

Christopher Baldassano, Marius Catalin Iordan, Diane M. Beck, Li Fei-Fei

NeuroImage, 2012

TRECVID 2012 GENIE: Multimedia Event Detection and Recounting.

A. G. Amitha Perera, Sangmin Oh, Megha Pandey, Tianyang Ma, Anthony Hoogs, Arash Vahdat, Kevin J. Cannons, Hossein Hajimirsadeghi, Greg Mori, Scott McCloskey, Ben Miller, Sharath Venkatesha, Pedro Davalos, Pradipto Das, Chenliang Xu, Jason J. Corso, Rohini K. Srihari, Ilseo Kim, You-Chi Cheng, Zhen Huang, Chin-Hui Lee, Kevin Tang, Li Fei-Fei, Daphne Koller

Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012

Shifting Weights: Adapting Object Detectors from Image to Video.

Kevin D. Tang, Vignesh Ramanathan, Li Fei-Fei, Daphne Koller

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Web image prediction using multivariate point processes.

Gunhee Kim, Li Fei-Fei, Eric P. Xing

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Efficient Euclidean Projections onto the Intersection of Norm Balls.

Adams Wei Yu, Hao Su, Li Fei-Fei

Proceedings of the 29th International Conference on Machine Learning, 2012

Crowdsourcing Annotations for Visual Object Detection.

Hao Su, Jia Deng, Li Fei-Fei

Proceedings of the 4th Human Computation Workshop, 2012

Action Recognition with Exemplar Based 2.5D Graph Matching.

Bangpeng Yao, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2012, 2012

Object-Centric Spatial Pooling for Image Classification.

Olga Russakovsky, Yuanqing Lin, Kai Yu, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2012, 2012

A codebook-free and annotation-free approach for fine-grained image categorization.

Bangpeng Yao, Gary R. Bradski, Li Fei-Fei

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

Learning latent temporal structure for complex event detection.

Kevin D. Tang, Li Fei-Fei, Daphne Koller

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

Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition.

Jia Deng, Jonathan Krause, Alexander C. Berg, Li Fei-Fei

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

Multi-Level Structured Image Coding on High-Dimensional Image Representation.

Li-Jia Li, Jun Zhu, Hao Su, Eric P. Xing, Li Fei-Fei

Proceedings of the Computer Vision, 2012

2011

ReVision: automated classification, analysis and redesign of chart images.

Manolis Savva, Nicholas Kong, Arti Chhajta, Li Fei-Fei, Maneesh Agrawala, Jeffrey Heer

Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology, 2011

GENIE TRECVID 2011 Multimedia Event Detection: Late-Fusion Approaches to Combine Multiple Audio-Visual features.

A. G. Amitha Perera, Sangmin Oh, Matthew J. Leotta, Ilseo Kim, Byungki Byun, Chin-Hui Lee, Scott McCloskey, Jingchen Liu, Ben Miller, Zhi Feng Huang, Arash Vahdat, Weilong Yang, Greg Mori, Kevin Tang, Daphne Koller, Li Fei-Fei, Kang Li, Gang Chen, Jason J. Corso, Yun Fu, Rohini K. Srihari

Proceedings of the 2011 TREC Video Retrieval Evaluation, 2011

Large-Scale Category Structure Aware Image Categorization.

Bin Zhao, Li Fei-Fei, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition.

Jia Deng, Sanjeev Satheesh, Alexander C. Berg, Li Fei-Fei

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 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

Proceedings of the IEEE International Conference on Computer Vision, 2011

Distributed cosegmentation via submodular optimization on anisotropic diffusion.

Gunhee Kim, Eric P. Xing, Li Fei-Fei, Takeo Kanade

Proceedings of the IEEE International Conference on Computer Vision, 2011

Online detection of unusual events in videos via dynamic sparse coding.

Bin Zhao, Li Fei-Fei, Eric P. Xing

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Combining randomization and discrimination for fine-grained image categorization.

Bangpeng Yao, Aditya Khosla, Li Fei-Fei

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Hierarchical semantic indexing for large scale image retrieval.

Jia Deng, Alexander C. Berg, Li Fei-Fei

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Multi-view Object Categorization and Pose Estimation.

Silvio Savarese, Li Fei-Fei

Proceedings of the Computer Vision: Detection, Recognition and Reconstruction, 2010

What, Where and Who? Telling the Story of an Image by Activity Classification, Scene Recognition and Object Categorization.

Li Fei-Fei, Li-Jia Li

Proceedings of the Computer Vision: Detection, Recognition and Reconstruction, 2010

Learning Object Categories From Internet Image Searches.

Robert Fergus, Li Fei-Fei, Pietro Perona, Andrew Zisserman

Proc. IEEE, 2010

OPTIMOL: Automatic Online Picture Collection via Incremental Model Learning.

Li-Jia Li, Li Fei-Fei

Int. J. Comput. Vis., 2010

Large Margin Learning of Upstream Scene Understanding Models.

Jun Zhu, Li-Jia Li, Li Fei-Fei, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification.

Li-Jia Li, Hao Su, Eric P. Xing, Li Fei-Fei

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Image Segmentation with Topic Random Field.

Bin Zhao, Li Fei-Fei, Eric P. Xing

Proceedings of the Computer Vision - ECCV 2010, 2010

Attribute Learning in Large-Scale Datasets.

Olga Russakovsky, Li Fei-Fei

Proceedings of the Trends and Topics in Computer Vision, 2010

Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification.

Juan Carlos Niebles, Chih-Wei Chen, Li Fei-Fei

Proceedings of the Computer Vision, 2010

Objects as Attributes for Scene Classification.

Li-Jia Li, Hao Su, Yongwhan Lim, Li Fei-Fei

Proceedings of the Trends and Topics in Computer Vision, 2010

What Does Classifying More Than 10, 000 Image Categories Tell Us?

Jia Deng, Alexander C. Berg, Kai Li, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2010, 2010

Modeling mutual context of object and human pose in human-object interaction activities.

Bangpeng Yao, Li Fei-Fei

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Grouplet: A structured image representation for recognizing human and object interactions.

Bangpeng Yao, Li Fei-Fei

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Connecting modalities: Semi-supervised segmentation and annotation of images using unaligned text corpora.

Richard Socher, Li Fei-Fei

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Efficient extraction of human motion volumes by tracking.

Juan Carlos Niebles, Bohyung Han, Li Fei-Fei

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Building and using a semantivisual image hierarchy.

Li-Jia Li, Chong Wang, Yongwhan Lim, David M. Blei, Li Fei-Fei

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions.

Bangpeng Yao, Dirk B. Walther, Diane M. Beck, Li Fei-Fei

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis.

Barry Chai, Dirk B. Walther, Diane M. Beck, Li Fei-Fei

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 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

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Mining discriminative adjectives and prepositions for natural scene recognition.

Bangpeng Yao, Juan Carlos Niebles, Li Fei-Fei

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

Simultaneous image classification and annotation.

Chong Wang, David M. Blei, Li Fei-Fei

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

A multi-view probabilistic model for 3D object classes.

Min Sun, Hao Su, Silvio Savarese, Li Fei-Fei

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Towards total scene understanding: Classification, annotation and segmentation in an automatic framework.

Li-Jia Li, Richard Socher, Li Fei-Fei

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

ImageNet: A large-scale hierarchical image database.

Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words.

Juan Carlos Niebles, Hongcheng Wang, Li Fei-Fei

Int. J. Comput. Vis., 2008

Variational Transform Invariant Mixture of Probabilistic PCA.

Jilin Tu, Yun Fu, Aleksandar Ivanovic, Thomas S. Huang, Li Fei-Fei

Proceedings of the 9th IEEE Workshop on Applications of Computer Vision (WACV 2008), 2008

View Synthesis for Recognizing Unseen Poses of Object Classes.

Silvio Savarese, Li Fei-Fei

Proceedings of the Computer Vision, 2008

Extracting Moving People from Internet Videos.

Juan Carlos Niebles, Bohyung Han, Andras Ferencz, Li Fei-Fei

Proceedings of the Computer Vision, 2008

Towards Scalable Dataset Construction: An Active Learning Approach.

Brendan Collins, Jia Deng, Kai Li, Li Fei-Fei

Proceedings of the Computer Vision, 2008

2007

Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories.

Li Fei-Fei, Robert Fergus, Pietro Perona

Comput. Vis. Image Underst., 2007

3D generic object categorization, localization and pose estimation.

Silvio Savarese, Li Fei-Fei

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

What, where and who? Classifying events by scene and object recognition.

Li-Jia Li, Li Fei-Fei

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Spatially Coherent Latent Topic Model for Concurrent Segmentation and Classification of Objects and Scenes.

Liangliang Cao, Li Fei-Fei

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

A Hierarchical Model of Shape and Appearance for Human Action Classification.

Juan Carlos Niebles, Li Fei-Fei

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning.

Li-Jia Li, Gang Wang, Li Fei-Fei

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

OPTIMOL: A Framework for Online Picture Collection via Incremental Model Learning.

Li-Jia Li, Juan Carlos Niebles, Li Fei-Fei

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

One-Shot Learning of Object Categories.

Li Fei-Fei, Robert Fergus, Pietro Perona

IEEE Trans. Pattern Anal. Mach. Intell., 2006

Variational Shift Invariant Probabilistic PCA for Face Recognition.

Jilin Tu, Aleksandar Ivanovic, Xun Xu, Li Fei-Fei, Thomas S. Huang

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Audio-Visual Speaker Localization Using Graphical Models.

Akash Kushal, Mandar Rahurkar, Li Fei-Fei, Jean Ponce, Thomas S. Huang

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Using Dependent Regions for Object Categorization in a Generative Framework.

Gang Wang, Ye Zhang, Li Fei-Fei

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005

Learning Object Categories from Google's Image Search.

Robert Fergus, Li Fei-Fei, Pietro Perona, Andrew Zisserman

Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

A Bayesian Hierarchical Model for Learning Natural Scene Categories.

Li Fei-Fei, Pietro Perona

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004

What do reflections tell us about the shape of a mirror?

Silvio Savarese, Li Fei-Fei, Pietro Perona

Proceedings of the 1st Symposium on Applied Perception in Graphics and Visualization, 2004

2003

A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories.

Li Fei-Fei, Robert Fergus, Pietro Perona

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003