A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories. - Li Fei-Fei 001; Robert Fergus; Pietro Perona (ICCV, 2003)

What do reflections tell us about the shape of a mirror? - Silvio Savarese; Li Fei-Fei 001; Pietro Perona (APGV, 2004)

A Bayesian Hierarchical Model for Learning Natural Scene Categories. - Li Fei-Fei 001; Pietro Perona (CVPR (2), 2005)

Learning Object Categories from Google's Image Search. - Robert Fergus; Li Fei-Fei 001; Pietro Perona; Andrew Zisserman (ICCV, 2005)

Using Dependent Regions for Object Categorization in a Generative Framework. - Gang Wang; Ye Zhang; Li Fei-Fei 001 (CVPR (2), 2006)

Audio-Visual Speaker Localization Using Graphical Models. - Akash Kushal; Mandar Rahurkar; Li Fei-Fei 001; Jean Ponce; Thomas S. Huang (ICPR (1), 2006)

Variational Shift Invariant Probabilistic PCA for Face Recognition. - Jilin Tu; Aleksandar Ivanovic; Xun Xu 003; Li Fei-Fei 001; Thomas S. Huang (ICPR (3), 2006)

One-Shot Learning of Object Categories. - Li Fei-Fei 001; Robert Fergus; Pietro Perona (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

OPTIMOL: A Framework for Online Picture Collection via Incremental Model Learning. - Li-Jia Li 001; Juan Carlos Niebles; Li Fei-Fei 001 (AAAI, 2007)

OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning. - Li-Jia Li 001; Gang Wang; Li Fei-Fei 001 (CVPR, 2007)

A Hierarchical Model of Shape and Appearance for Human Action Classification. - Juan Carlos Niebles; Li Fei-Fei 001 (CVPR, 2007)

Spatially Coherent Latent Topic Model for Concurrent Segmentation and Classification of Objects and Scenes. - Liangliang Cao; Li Fei-Fei 001 (ICCV, 2007)

What, where and who? Classifying events by scene and object recognition. - Li-Jia Li 001; Li Fei-Fei 001 (ICCV, 2007)

3D generic object categorization, localization and pose estimation. - Silvio Savarese; Li Fei-Fei 001 (ICCV, 2007)

Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories. - Li Fei-Fei 001; Robert Fergus; Pietro Perona (Comput. Vis. Image Underst., 2007)

Towards Scalable Dataset Construction: An Active Learning Approach. - Brendan Collins; Jia Deng 001; Kai Li 001; Li Fei-Fei 001 (ECCV (1), 2008)

Extracting Moving People from Internet Videos. - Juan Carlos Niebles; Bohyung Han; Andras Ferencz; Li Fei-Fei 001 (ECCV (4), 2008)

View Synthesis for Recognizing Unseen Poses of Object Classes. - Silvio Savarese; Li Fei-Fei 001 (ECCV (3), 2008)

Variational Transform Invariant Mixture of Probabilistic PCA. - Jilin Tu; Yun Fu 001; Aleksandar Ivanovic; Thomas S. Huang; Li Fei-Fei 001 (WACV, 2008)

Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words. - Juan Carlos Niebles; Hongcheng Wang; Li Fei-Fei 001 (Int. J. Comput. Vis., 2008)

ImageNet: A large-scale hierarchical image database. - Jia Deng 001; Wei Dong 003; Richard Socher; Li-Jia Li 001; Kai Li 001; Li Fei-Fei 001 (CVPR, 2009)

Towards total scene understanding: Classification, annotation and segmentation in an automatic framework. - Li-Jia Li 001; Richard Socher; Li Fei-Fei 001 (CVPR, 2009)

A multi-view probabilistic model for 3D object classes. - Min Sun 001; Hao Su 001; Silvio Savarese; Li Fei-Fei 001 (CVPR, 2009)

Simultaneous image classification and annotation. - Chong Wang 002; David M. Blei; Li Fei-Fei 001 (CVPR, 2009)

Mining discriminative adjectives and prepositions for natural scene recognition. - Bangpeng Yao; Juan Carlos Niebles; Li Fei-Fei 001 (CVPR Workshops, 2009)

Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories. - Hao Su 001; Min Sun 001; Li Fei-Fei 001; Silvio Savarese (ICCV, 2009)

Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis. - Barry Chai; Dirk B. Walther; Diane M. Beck; Li Fei-Fei 001 (NIPS, 2009)

Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions. - Bangpeng Yao; Dirk B. Walther; Diane M. Beck; Li Fei-Fei 001 (NIPS, 2009)

Building and using a semantivisual image hierarchy. - Li-Jia Li 001; Chong Wang 002; Yongwhan Lim; David M. Blei; Li Fei-Fei 001 (CVPR, 2010)

Efficient extraction of human motion volumes by tracking. - Juan Carlos Niebles; Bohyung Han; Li Fei-Fei 001 (CVPR, 2010)

Connecting modalities: Semi-supervised segmentation and annotation of images using unaligned text corpora. - Richard Socher; Li Fei-Fei 001 (CVPR, 2010)

Grouplet: A structured image representation for recognizing human and object interactions. - Bangpeng Yao; Li Fei-Fei 001 (CVPR, 2010)

Modeling mutual context of object and human pose in human-object interaction activities. - Bangpeng Yao; Li Fei-Fei 001 (CVPR, 2010)

What Does Classifying More Than 10, 000 Image Categories Tell Us? - Jia Deng 001; Alexander C. Berg; Kai Li 001; Li Fei-Fei 001 (ECCV (5), 2010)

Objects as Attributes for Scene Classification. - Li-Jia Li 001; Hao Su 001; Yongwhan Lim; Li Fei-Fei 001 (ECCV Workshops (1), 2010)

Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification. - Juan Carlos Niebles; Chih-Wei Chen; Li Fei-Fei 001 (ECCV (2), 2010)

Attribute Learning in Large-Scale Datasets. - Olga Russakovsky; Li Fei-Fei 001 (ECCV Workshops (1), 2010)

Image Segmentation with Topic Random Field. - Bin Zhao; Li Fei-Fei 001; Eric P. Xing (ECCV (5), 2010)

Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification. - Li-Jia Li 001; Hao Su 001; Eric P. Xing; Li Fei-Fei 001 (NIPS, 2010)

Large Margin Learning of Upstream Scene Understanding Models. - Jun Zhu 001; Li-Jia Li 001; Li Fei-Fei 001; Eric P. Xing (NIPS, 2010)

OPTIMOL: Automatic Online Picture Collection via Incremental Model Learning. - Li-Jia Li 001; Li Fei-Fei 001 (Int. J. Comput. Vis., 2010)

Learning Object Categories From Internet Image Searches. - Robert Fergus; Li Fei-Fei 001; Pietro Perona; Andrew Zisserman (Proc. IEEE, 2010)

What, Where and Who? Telling the Story of an Image by Activity Classification, Scene Recognition and Object Categorization. - Li Fei-Fei 001; Li-Jia Li 001 (Computer Vision: Detection, Recognition and Reconstruction, 2010)

Multi-view Object Categorization and Pose Estimation. - Silvio Savarese; Li Fei-Fei 001 (Computer Vision: Detection, Recognition and Reconstruction, 2010)

Hierarchical semantic indexing for large scale image retrieval. - Jia Deng 001; Alexander C. Berg; Li Fei-Fei 001 (CVPR, 2011)

Combining randomization and discrimination for fine-grained image categorization. - Bangpeng Yao; Aditya Khosla; Li Fei-Fei 001 (CVPR, 2011)

Online detection of unusual events in videos via dynamic sparse coding. - Bin Zhao; Li Fei-Fei 001; Eric P. Xing (CVPR, 2011)

Distributed cosegmentation via submodular optimization on anisotropic diffusion. - Gunhee Kim; Eric P. Xing; Li Fei-Fei 001; Takeo Kanade (ICCV, 2011)

Human action recognition by learning bases of action attributes and parts. - Bangpeng Yao; Xiaoye Jiang; Aditya Khosla; Andy Lai Lin; Leonidas J. Guibas; Li Fei-Fei 001 (ICCV, 2011)

Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition. - Jia Deng 001; Sanjeev Satheesh; Alexander C. Berg; Li Fei-Fei 001 (NIPS, 2011)

Large-Scale Category Structure Aware Image Categorization. - Bin Zhao; Li Fei-Fei 001; Eric P. Xing (NIPS, 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 001; Scott McCloskey; Jingchen Liu; Ben Miller; Zhi Feng Huang; Arash Vahdat; Weilong Yang; et al. (TRECVID, 2011)

ReVision: automated classification, analysis and redesign of chart images. - Manolis Savva; Nicholas Kong; Arti Chhajta; Li Fei-Fei 001; Maneesh Agrawala; Jeffrey Heer (UIST, 2011)

Multi-Level Structured Image Coding on High-Dimensional Image Representation. - Li-Jia Li 001; Jun Zhu 001; Hao Su 001; Eric P. Xing; Li Fei-Fei 001 (ACCV (2), 2012)

Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition. - Jia Deng 001; Jonathan Krause; Alexander C. Berg; Li Fei-Fei 001 (CVPR, 2012)

Learning latent temporal structure for complex event detection. - Kevin D. Tang; Li Fei-Fei 001; Daphne Koller (CVPR, 2012)

A codebook-free and annotation-free approach for fine-grained image categorization. - Bangpeng Yao; Gary R. Bradski; Li Fei-Fei 001 (CVPR, 2012)

Object-Centric Spatial Pooling for Image Classification. - Olga Russakovsky; Yuanqing Lin; Kai Yu 001; Li Fei-Fei 001 (ECCV (2), 2012)

Action Recognition with Exemplar Based 2.5D Graph Matching. - Bangpeng Yao; Li Fei-Fei 001 (ECCV (4), 2012)

Crowdsourcing Annotations for Visual Object Detection. - Hao Su 001; Jia Deng 001; Li Fei-Fei 001 (HCOMP@AAAI, 2012)

Efficient Euclidean Projections onto the Intersection of Norm Balls. - Adams Wei Yu; Hao Su 001; Li Fei-Fei 001 (ICML, 2012)

Web image prediction using multivariate point processes. - Gunhee Kim; Li Fei-Fei 001; Eric P. Xing (KDD, 2012)

Shifting Weights: Adapting Object Detectors from Image to Video. - Kevin D. Tang; Vignesh Ramanathan; Li Fei-Fei 001; Daphne Koller (NIPS, 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; et al. (TRECVID, 2012)

Voxel-level functional connectivity using spatial regularization. - Christopher Baldassano; Marius Catalin Iordan; Diane M. Beck; Li Fei-Fei 001 (NeuroImage, 2012)

Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses. - Bangpeng Yao; Li Fei-Fei 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Free your Camera: 3D Indoor Scene Understanding from Arbitrary Camera Motion. - Axel Furlan; Stephen D. Miller; Domenico G. Sorrenti; Li Fei-Fei 001; Silvio Savarese (BMVC, 2013)

Fine-Grained Crowdsourcing for Fine-Grained Recognition. - Jia Deng 001; Jonathan Krause; Li Fei-Fei 001 (CVPR, 2013)

Social Role Discovery in Human Events. - Vignesh Ramanathan; Bangpeng Yao; Li Fei-Fei 001 (CVPR, 2013)

Discriminative Segment Annotation in Weakly Labeled Video. - Kevin D. Tang; Rahul Sukthankar; Jay Yagnik; Li Fei-Fei 001 (CVPR, 2013)

Video Event Understanding Using Natural Language Descriptions. - Vignesh Ramanathan; Percy Liang; Li Fei-Fei 001 (ICCV, 2013)

Detecting Avocados to Zucchinis: What Have We Done, and Where Are We Going? - Olga Russakovsky; Jia Deng 001; Zhiheng Huang; Alexander C. Berg; Li Fei-Fei 001 (ICCV, 2013)

Combining the Right Features for Complex Event Recognition. - Kevin D. Tang; Bangpeng Yao; Li Fei-Fei 001; Daphne Koller (ICCV, 2013)

Discovering Object Functionality. - Bangpeng Yao; Jiayuan Ma; Li Fei-Fei 001 (ICCV, 2013)

3D Object Representations for Fine-Grained Categorization. - Jonathan Krause; Michael Stark 003; Jia Deng 001; Li Fei-Fei 001 (ICCV Workshops, 2013)

Object discovery in 3D scenes via shape analysis. - Andrej Karpathy; Stephen D. Miller; Li Fei-Fei 001 (ICRA, 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 001; et al. (TRECVID, 2013)

Differential connectivity within the Parahippocampal Place Area. - Christopher Baldassano; Diane M. Beck; Li Fei-Fei 001 (NeuroImage, 2013)

Integrating Randomization and Discrimination for Classifying Human-Object Interaction Activities. - Aditya Khosla; Bangpeng Yao; Li Fei-Fei 001 (Human-Centered Social Media Analytics, 2014)

Social Role Recognition for Human Event Understanding. - Vignesh Ramanathan; Bangpeng Yao; Li Fei-Fei 001 (Human-Centered Social Media Analytics, 2014)

Scalable multi-label annotation. - Jia Deng 001; Olga Russakovsky; Jonathan Krause; Michael S. Bernstein; Alexander C. Berg; Li Fei-Fei 001 (CHI, 2014)

Discovering the Signatures of Joint Attention in Child-Caregiver Interaction. - Guido Pusiol; Laura Soriano; Michael C. Frank; Li Fei-Fei 001 (CogSci, 2014)

Socially-Aware Large-Scale Crowd Forecasting. - Alexandre Alahi; Vignesh Ramanathan; Li Fei-Fei 001 (CVPR, 2014)

Large-Scale Video Classification with Convolutional Neural Networks. - Andrej Karpathy; George Toderici; Sanketh Shetty; Thomas Leung; Rahul Sukthankar; Li Fei-Fei 001 (CVPR, 2014)

Co-localization in Real-World Images. - Kevin D. Tang; Armand Joulin; Li-Jia Li 001; Li Fei-Fei 001 (CVPR, 2014)

Efficient Image and Video Co-localization with Frank-Wolfe Algorithm. - Armand Joulin; Kevin D. Tang; Li Fei-Fei 001 (ECCV (6), 2014)

Linking People in Videos with "Their" Names Using Coreference Resolution. - Vignesh Ramanathan; Armand Joulin; Percy Liang; Li Fei-Fei 001 (ECCV (1), 2014)

Reasoning about Object Affordances in a Knowledge Base Representation. - Yuke Zhu; Alireza Fathi; Li Fei-Fei 001 (ECCV (2), 2014)

Learning Features and Parts for Fine-Grained Recognition. - Jonathan Krause; Timnit Gebru; Jia Deng 001; Li-Jia Li 001; Li Fei-Fei 001 (ICPR, 2014)

Deep Fragment Embeddings for Bidirectional Image Sentence Mapping. - Andrej Karpathy; Armand Joulin; Li Fei-Fei 001 (NIPS, 2014)

Understanding the 3D layout of a cluttered room from multiple images. - Sid Ying-Ze Bao; Axel Furlan; Li Fei-Fei 001; Silvio Savarese (WACV, 2014)

Visual Noise from Natural Scene Statistics Reveals Human Scene Category Representations. - Michelle R. Greene; Abraham P. Botros; Diane M. Beck; Li Fei-Fei 001 (CoRR, 2014)

Affordances Provide a Fundamental Categorization Principle for Visual Scenes. - Michelle R. Greene; Christopher Baldassano; Andre Esteva; Diane M. Beck; Li Fei-Fei 001 (CoRR, 2014)

VideoSET: Video Summary Evaluation through Text. - Serena Yeung; Alireza Fathi; Li Fei-Fei 001 (CoRR, 2014)

Object Bank: An Object-Level Image Representation for High-Level Visual Recognition. - Li-Jia Li 001; Hao Su 001; Yongwhan Lim; Li Fei-Fei 001 (Int. J. Comput. Vis., 2014)

Generating Semantically Precise Scene Graphs from Textual Descriptions for Improved Image Retrieval. - Sebastian Schuster; Ranjay Krishna; Angel X. Chang; Li Fei-Fei 001; Christopher D. Manning (VL@EMNLP, 2015)

Image retrieval using scene graphs. - Justin Johnson 001; Ranjay Krishna; Michael Stark 003; Li-Jia Li 001; David A. Shamma; Michael S. Bernstein; Li Fei-Fei 001 (CVPR, 2015)

Fine-grained recognition without part annotations. - Jonathan Krause; Hailin Jin; Jianchao Yang; Li Fei-Fei 001 (CVPR, 2015)

Learning semantic relationships for better action retrieval in images. - Vignesh Ramanathan; Congcong Li; Jia Deng 001; Wei Han; Zhen Li 028; Kunlong Gu; Yang Song 009; Samy Bengio; Chuck Rosenberg 001; Li Fei-Fei 001 (CVPR, 2015)

Best of both worlds: Human-machine collaboration for object annotation. - Olga Russakovsky; Li-Jia Li 001; Li Fei-Fei 001 (CVPR, 2015)

RGB-W: When Vision Meets Wireless. - Alexandre Alahi; Albert Haque; Li Fei-Fei 001 (ICCV, 2015)

Love Thy Neighbors: Image Annotation by Exploiting Image Metadata. - Justin Johnson 001; Lamberto Ballan; Li Fei-Fei 001 (ICCV, 2015)

Learning Temporal Embeddings for Complex Video Analysis. - Vignesh Ramanathan; Kevin D. Tang; Greg Mori; Li Fei-Fei 001 (ICCV, 2015)

Improving Image Classification with Location Context. - Kevin D. Tang; Manohar Paluri; Li Fei-Fei 001; Robert Fergus; Lubomir D. Bourdev (ICCV, 2015)

SentenceRacer: A Game with a Purpose for Image Sentence Annotation. - Kenji Hata; Sherman Leung; Ranjay Krishna; Michael S. Bernstein; Li Fei-Fei 001 (CoRR, 2015)

Visualizing and Understanding Recurrent Networks. - Andrej Karpathy; Justin Johnson 001; Li Fei-Fei 001 (CoRR, 2015)

Building a Large-scale Multimodal Knowledge Base for Visual Question Answering. - Yuke Zhu; Ce Zhang 001; Christopher Ré; Li Fei-Fei 001 (CoRR, 2015)

ImageNet Large Scale Visual Recognition Challenge. - Olga Russakovsky; Jia Deng 001; Hao Su 001; Jonathan Krause; Sanjeev Satheesh; Sean Ma; Zhiheng Huang; Andrej Karpathy; Aditya Khosla; Michael S. Bernstein; Alexander C. Berg; Li Fei-Fei 001 (Int. J. Comput. Vis., 2015)

Basic Level Category Structure Emerges Gradually across Human Ventral Visual Cortex. - Marius Catalin Iordan; Michelle R. Greene; Diane M. Beck; Li Fei-Fei 001 (J. Cogn. Neurosci., 2015)

RGB-W Dataset. - Alexandre Alahi; Albert Haque; Li Fei-Fei 001 (Zenodo, 2015)

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 001 (AMIA, 2016)

Embracing Error to Enable Rapid Crowdsourcing. - Ranjay A. Krishna; Kenji Hata; Stephanie Chen; Joshua Kravitz; David A. Shamma; Li Fei-Fei 001; Michael S. Bernstein (CHI, 2016)

Social LSTM: Human Trajectory Prediction in Crowded Spaces. - Alexandre Alahi; Kratarth Goel; Vignesh Ramanathan; Alexandre Robicquet; Li Fei-Fei 001; Silvio Savarese (CVPR, 2016)

Recurrent Attention Models for Depth-Based Person Identification. - Albert Haque; Alexandre Alahi; Li Fei-Fei 001 (CVPR, 2016)

DenseCap: Fully Convolutional Localization Networks for Dense Captioning. - Justin Johnson 001; Andrej Karpathy; Li Fei-Fei 001 (CVPR, 2016)

Detecting Events and Key Actors in Multi-person Videos. - Vignesh Ramanathan; Jonathan Huang; Sami Abu-El-Haija; Alexander N. Gorban; Kevin Murphy 002; Li Fei-Fei 001 (CVPR, 2016)

End-to-End Learning of Action Detection from Frame Glimpses in Videos. - Serena Yeung; Olga Russakovsky; Greg Mori; Li Fei-Fei 001 (CVPR, 2016)

Visual7W: Grounded Question Answering in Images. - Yuke Zhu; Oliver Groth; Michael S. Bernstein; Li Fei-Fei 001 (CVPR, 2016)

What's the Point: Semantic Segmentation with Point Supervision. - Amy L. Bearman; Olga Russakovsky; Vittorio Ferrari; Li Fei-Fei 001 (ECCV (7), 2016)

Towards Viewpoint Invariant 3D Human Pose Estimation. - Albert Haque; Boya Peng; Zelun Luo; Alexandre Alahi; Serena Yeung; Li Fei-Fei 001 (ECCV (1), 2016)

Connectionist Temporal Modeling for Weakly Supervised Action Labeling. - De-An Huang; Li Fei-Fei 001; Juan Carlos Niebles (ECCV (4), 2016)

Perceptual Losses for Real-Time Style Transfer and Super-Resolution. - Justin Johnson 001; Alexandre Alahi; Li Fei-Fei 001 (ECCV (2), 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 001 (ECCV (3), 2016)

Visual Relationship Detection with Language Priors. - Cewu Lu; Ranjay Krishna; Michael S. Bernstein; Li Fei-Fei 001 (ECCV (1), 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 001 (MICCAI (2), 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 001 (SIGCSE, 2016)

Viewpoint Invariant 3D Human Pose Estimation with Recurrent Error Feedback. - Albert Haque; Boya Peng; Zelun Luo; Alexandre Alahi; Serena Yeung; Li Fei-Fei 001 (CoRR, 2016)

A Glimpse Far into the Future: Understanding Long-term Crowd Worker Accuracy. - Kenji Hata; Ranjay Krishna; Li Fei-Fei 001; Michael S. Bernstein (CoRR, 2016)

Crowdsourcing in Computer Vision. - Adriana Kovashka; Olga Russakovsky; Li Fei-Fei 001; Kristen Grauman (Found. Trends Comput. Graph. Vis., 2016)

Typicality sharpens category representations in object-selective cortex. - Marius Catalin Iordan; Michelle R. Greene; Diane M. Beck; Li Fei-Fei 001 (NeuroImage, 2016)

Leveraging the Wisdom of the Crowd for Fine-Grained Recognition. - Jia Deng 001; Jonathan Krause; Michael Stark 003; Li Fei-Fei 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

ITOP Dataset. - Albert Haque; Boya Peng; Zelun Luo; Alexandre Alahi; Serena Yeung; Li Fei-Fei 001 (Zenodo, 2016)

Tracking Millions of Humans in Crowded Spaces. - Alexandre Alahi; Vignesh Ramanathan; Li Fei-Fei 001 (Group and Crowd Behavior for Computer Vision, 2017)

Learning to Predict Human Behavior in Crowded Scenes. - Alexandre Alahi; Vignesh Ramanathan; Kratarth Goel; Alexandre Robicquet; Amir A. Sadeghian; Li Fei-Fei 001; Silvio Savarese (Group and Crowd Behavior for Computer Vision, 2017)

Fine-Grained Car Detection for Visual Census Estimation. - Timnit Gebru; Jonathan Krause; Yilun Wang; Duyun Chen; Jia Deng 001; Li Fei-Fei 001 (AAAI, 2017)

Computer Vision-based Approach to Maintain Independent Living for Seniors. - Zelun Luo; Alisha Rege; Guido Pusiol; Arnold Milstein; Li Fei-Fei 001; N. Lance Downing (AMIA, 2017)

End-to-End, Single-Stream Temporal Action Detection in Untrimmed Videos. - Shyamal Buch; Victor Escorcia; Bernard Ghanem; Li Fei-Fei 001; Juan Carlos Niebles (BMVC, 2017)

Scalable Annotation of Fine-Grained Categories Without Experts. - Timnit Gebru; Jonathan Krause; Jia Deng 001; Li Fei-Fei 001 (CHI, 2017)

A Glimpse Far into the Future: Understanding Long-term Crowd Worker Quality. - Kenji Hata; Ranjay Krishna; Li Fei-Fei 001; Michael S. Bernstein (CSCW, 2017)

Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos. - De-An Huang; Joseph J. Lim; Li Fei-Fei 001; Juan Carlos Niebles (CVPR, 2017)

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. - Justin Johnson 001; Bharath Hariharan; Laurens van der Maaten; Li Fei-Fei 001; C. Lawrence Zitnick; Ross B. Girshick (CVPR, 2017)

A Hierarchical Approach for Generating Descriptive Image Paragraphs. - Jonathan Krause; Justin Johnson 001; Ranjay Krishna; Li Fei-Fei 001 (CVPR, 2017)

Unsupervised Learning of Long-Term Motion Dynamics for Videos. - Zelun Luo; Boya Peng; De-An Huang; Alexandre Alahi; Li Fei-Fei 001 (CVPR, 2017)

Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals. - Katsuyuki Nakamura; Serena Yeung; Alexandre Alahi; Li Fei-Fei 001 (CVPR, 2017)

Scene Graph Generation by Iterative Message Passing. - Danfei Xu; Yuke Zhu; Christopher B. Choy; Li Fei-Fei 001 (CVPR, 2017)

Learning to Learn from Noisy Web Videos. - Serena Yeung; Vignesh Ramanathan; Olga Russakovsky; Liyue Shen; Greg Mori; Li Fei-Fei 001 (CVPR, 2017)

Knowledge Acquisition for Visual Question Answering via Iterative Querying. - Yuke Zhu; Joseph J. Lim; Li Fei-Fei 001 (CVPR, 2017)

Fine-Grained Recognition in the Wild: A Multi-task Domain Adaptation Approach. - Timnit Gebru; Judy Hoffman; Li Fei-Fei 001 (ICCV, 2017)

Characterizing and Improving Stability in Neural Style Transfer. - Agrim Gupta; Justin Johnson 001; Alexandre Alahi; Li Fei-Fei 001 (ICCV, 2017)

Inferring and Executing Programs for Visual Reasoning. - Justin Johnson 001; Bharath Hariharan; Laurens van der Maaten; Judy Hoffman; Li Fei-Fei 001; C. Lawrence Zitnick; Ross B. Girshick (ICCV, 2017)

Dense-Captioning Events in Videos. - Ranjay Krishna; Kenji Hata; Frederic Ren; Li Fei-Fei 001; Juan Carlos Niebles (ICCV, 2017)

Visual Semantic Planning Using Deep Successor Representations. - Yuke Zhu; Daniel Gordon; Eric Kolve; Dieter Fox; Li Fei-Fei 001; Abhinav Gupta 001; Roozbeh Mottaghi; Ali Farhadi (ICCV, 2017)

Unsupervised camera localization in crowded spaces. - Alexandre Alahi; Judson Wilson; Li Fei-Fei 001; Silvio Savarese (ICRA, 2017)

Target-driven visual navigation in indoor scenes using deep reinforcement learning. - Yuke Zhu; Roozbeh Mottaghi; Eric Kolve; Joseph J. Lim; Abhinav Gupta 001; Li Fei-Fei 001; Ali Farhadi (ICRA, 2017)

Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations. - Ajay Mandlekar; Yuke Zhu; Animesh Garg; Li Fei-Fei 001; Silvio Savarese (IROS, 2017)

AdaPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems. - James Harrison; Animesh Garg; Boris Ivanovic; Yuke Zhu; Silvio Savarese; Li Fei-Fei 001; Marco Pavone 001 (ISRR, 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; et al. (MLHC, 2017)

Label Efficient Learning of Transferable Representations acrosss Domains and Tasks. - Zelun Luo; Yuliang Zou; Judy Hoffman; Li Fei-Fei 001 (NIPS, 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 001; Erez Aiden Lieberman; Li Fei-Fei 001 (CoRR, 2017)

Tackling Over-pruning in Variational Autoencoders. - Serena Yeung; Anitha Kannan; Yann N. Dauphin; Li Fei-Fei 001 (CoRR, 2017)

Graph Distillation for Action Detection with Privileged Information. - Zelun Luo; Lu Jiang 004; Jun-Ting Hsieh; Juan Carlos Niebles; Li Fei-Fei 001 (CoRR, 2017)

Label Efficient Learning of Transferable Representations across Domains and Tasks. - Zelun Luo; Yuliang Zou; Judy Hoffman; Li Fei-Fei 001 (CoRR, 2017)

Progressive Neural Architecture Search. - Chenxi Liu 001; Barret Zoph; Jonathon Shlens; Wei Hua; Li-Jia Li 001; Li Fei-Fei 001; Alan L. Yuille; Jonathan Huang; Kevin Murphy 002 (CoRR, 2017)

MentorNet: Regularizing Very Deep Neural Networks on Corrupted Labels. - Lu Jiang 004; Zhengyuan Zhou; Thomas Leung; Li-Jia Li 001; Li Fei-Fei 001 (CoRR, 2017)

Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations. - Ranjay Krishna; Yuke Zhu; Oliver Groth; Justin Johnson 001; Kenji Hata; Joshua Kravitz; Stephanie Chen; Yannis Kalantidis; Li-Jia Li 001; David A. Shamma; Michael S. Bernstein; Li Fei-Fei 001 (Int. J. Comput. Vis., 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 001; Diane M. Beck (NeuroImage, 2017)

Deep Visual-Semantic Alignments for Generating Image Descriptions. - Andrej Karpathy; Li Fei-Fei 001 (IEEE Trans. Pattern Anal. Mach. Intell., 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 001; Erez Lieberman Aiden; Li Fei-Fei 001 (Proc. Natl. Acad. Sci. USA, 2017)

Emergence of Structured Behaviors from Curiosity-Based Intrinsic Motivation. - Nick Haber; Damian Mrowca; Li Fei-Fei 001; Daniel L. K. Yamins (CogSci, 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 001 (CoRL, 2018)

ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation. - Ajay Mandlekar; Yuke Zhu; Animesh Garg; Jonathan Booher; Max Spero; Albert Tung; Julian Gao; John Emmons; Anchit Gupta; Emre Orbay; Silvio Savarese; Li Fei-Fei 001 (CoRL, 2018)

Iterative Visual Reasoning Beyond Convolutions. - Xinlei Chen; Li-Jia Li 001; Li Fei-Fei 001; Abhinav Gupta 001 (CVPR, 2018)

Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks. - Agrim Gupta; Justin Johnson 001; Li Fei-Fei 001; Silvio Savarese; Alexandre Alahi (CVPR, 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 001; Juan Carlos Niebles (CVPR, 2018)

What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets. - De-An Huang; Vignesh Ramanathan; Dhruv Mahajan 001; Lorenzo Torresani; Manohar Paluri; Li Fei-Fei 001; Juan Carlos Niebles (CVPR, 2018)

Image Generation From Scene Graphs. - Justin Johnson 001; Agrim Gupta; Li Fei-Fei 001 (CVPR, 2018)

Referring Relationships. - Ranjay Krishna; Ines Chami; Michael S. Bernstein; Li Fei-Fei 001 (CVPR, 2018)

Thoracic Disease Identification and Localization With Limited Supervision. - Zhe Li 001; Chong Wang 002; Mei Han; Yuan Xue; Wei Wei 019; Li-Jia Li 001; Li Fei-Fei 001 (CVPR, 2018)

Neural Graph Matching Networks for Fewshot 3D Action Recognition. - Michelle Guo; Edward Chou; De-An Huang; Shuran Song; Serena Yeung; Li Fei-Fei 001 (ECCV (1), 2018)

Dynamic Task Prioritization for Multitask Learning. - Michelle Guo; Albert Haque; De-An Huang; Serena Yeung; Li Fei-Fei 001 (ECCV (16), 2018)

Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos. - Bingbin Liu; Serena Yeung; Edward Chou; De-An Huang; Li Fei-Fei 001; Juan Carlos Niebles (ECCV (3), 2018)

Progressive Neural Architecture Search. - Chenxi Liu 001; Barret Zoph; Maxim Neumann; Jonathon Shlens; Wei Hua; Li-Jia Li 001; Li Fei-Fei 001; Alan L. Yuille; Jonathan Huang; Kevin Murphy 002 (ECCV (1), 2018)

Graph Distillation for Action Detection with Privileged Modalities. - Zelun Luo; Jun-Ting Hsieh; Lu Jiang 004; Juan Carlos Niebles; Li Fei-Fei 001 (ECCV (14), 2018)

HiDDeN: Hiding Data With Deep Networks. - Jiren Zhu; Russell Kaplan; Justin Johnson 001; Li Fei-Fei 001 (ECCV (15), 2018)

MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels. - Lu Jiang 004; Zhengyuan Zhou; Thomas Leung; Li-Jia Li 001; Li Fei-Fei 001 (ICML, 2018)

Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go? - Zhengyuan Zhou; Panayotis Mertikopoulos; Nicholas Bambos; Peter W. Glynn; Yinyu Ye 001; Li-Jia Li 001; Li Fei-Fei 001 (ICML, 2018)

Neural Task Programming: Learning to Generalize Across Hierarchical Tasks. - Danfei Xu; Suraj Nair 003; Yuke Zhu; Julian Gao; Animesh Garg; Li Fei-Fei 001; Silvio Savarese (ICRA, 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; et al. (MLHC, 2018)

Learning to Play With Intrinsically-Motivated, Self-Aware Agents. - Nick Haber; Damian Mrowca; Stephanie Wang; Li Fei-Fei 001; Daniel L. K. Yamins (NeurIPS, 2018)

Learning to Decompose and Disentangle Representations for Video Prediction. - Jun-Ting Hsieh; Bingbin Liu; De-An Huang; Li Fei-Fei 001; Juan Carlos Niebles (NeurIPS, 2018)

Flexible neural representation for physics prediction. - Damian Mrowca; Chengxu Zhuang; Elias Wang; Nick Haber; Li Fei-Fei 001; Josh Tenenbaum 001; Daniel L. K. Yamins (NeurIPS, 2018)

Engagement Learning: Expanding Visual Knowledge by Engaging Online Participants. - Ranjay Krishna; Donsuk Lee; Li Fei-Fei 001; Michael S. Bernstein (UIST (Adjunct Volume), 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 001 (WACV, 2018)

Scaling Human-Object Interaction Recognition Through Zero-Shot Learning. - Liyue Shen; Serena Yeung; Judy Hoffman; Greg Mori; Li Fei-Fei 001 (WACV, 2018)

Learning to Play with Intrinsically-Motivated Self-Aware Agents. - Nick Haber; Damian Mrowca; Li Fei-Fei 001; Daniel L. K. Yamins (CoRR, 2018)

DDRprog: A CLEVR Differentiable Dynamic Reasoning Programmer. - Joseph Suarez; Justin Johnson 001; Li Fei-Fei 001 (CoRR, 2018)

Measuring Depression Symptom Severity from Spoken Language and 3D Facial Expressions. - Albert Haque; Michelle Guo; Adam S. Miner; Li Fei-Fei 001 (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 001 (CoRR, 2018)

A Fully Private Pipeline for Deep Learning on Electronic Health Records. - Edward Chou; Thao Nguyen; Josh Beal; Albert Haque; Li Fei-Fei 001 (CoRR, 2018)

Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference. - Edward Chou; Josh Beal; Daniel Levy; Serena Yeung; Albert Haque; Li Fei-Fei 001 (CoRR, 2018)

Vision-Based Gait Analysis for Senior Care. - David Xue; Anin Sayana; Evan Darke; Kelly Shen; Jun-Ting Hsieh; Zelun Luo; Li-Jia Li 001; N. Lance Downing; Arnold Milstein; Li Fei-Fei 001 (CoRR, 2018)

Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos. - Serena Yeung; Olga Russakovsky; Ning Jin 002; Mykhaylo Andriluka; Greg Mori; Li Fei-Fei 001 (Int. J. Comput. Vis., 2018)

Thoracic Disease Identification and Localization with Limited Supervision. - Zhe Li 001; Chong Wang 002; Mei Han; Yuan Xue; Wei Wei 019; Li-Jia Li 001; Li Fei-Fei 001 (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation. - Kuan Fang; Yuke Zhu; Animesh Garg; Silvio Savarese; Li Fei-Fei 001 (CoRL, 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 001; Juan Carlos Niebles (CVPR, 2019)

Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks. - Kuan Fang; Alexander Toshev; Li Fei-Fei 001; Silvio Savarese (CVPR, 2019)

Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration. - De-An Huang; Suraj Nair 003; Danfei Xu; Yuke Zhu; Animesh Garg; Li Fei-Fei 001; Silvio Savarese; Juan Carlos Niebles (CVPR, 2019)

Information Maximizing Visual Question Generation. - Ranjay Krishna; Michael S. Bernstein; Li Fei-Fei 001 (CVPR, 2019)

Peeking Into the Future: Predicting Future Person Activities and Locations in Videos. - Junwei Liang 001; Lu Jiang 004; Juan Carlos Niebles; Alexander G. Hauptmann; Li Fei-Fei 001 (CVPR, 2019)

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. - Chenxi Liu 001; Liang-Chieh Chen; Florian Schroff; Hartwig Adam; Wei Hua; Alan L. Yuille; Li Fei-Fei 001 (CVPR, 2019)

Composing Text and Image for Image Retrieval - an Empirical Odyssey. - Nam Vo; Lu Jiang 004; Chen Sun 002; Kevin Murphy 002; Li-Jia Li 001; Li Fei-Fei 001; James Hays (CVPR, 2019)

DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion. - Chen Wang 053; Danfei Xu; Yuke Zhu; Roberto Martin Martin; Cewu Lu; Li Fei-Fei 001; Silvio Savarese (CVPR, 2019)

AI-Based Request Augmentation to Increase Crowdsourcing Participation. - Junwon Park; Ranjay Krishna; Pranav Khadpe; Li Fei-Fei 001; Michael S. Bernstein (HCOMP, 2019)

Audio-linguistic Embeddings for Spoken Sentences. - Albert Haque; Michelle Guo; Prateek Verma; Li Fei-Fei 001 (ICASSP, 2019)

Situational Fusion of Visual Representation for Visual Navigation. - William B. Shen; Danfei Xu; Yuke Zhu; Li Fei-Fei 001; Leonidas J. Guibas; Silvio Savarese (ICCV, 2019)

Scene Graph Prediction with Limited Labels. - Vincent S. Chen; Paroma Varma; Ranjay Krishna; Michael S. Bernstein; Christopher Ré; Li Fei-Fei 001 (ICCV Workshops, 2019)

Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction. - Apoorva Dornadula; Austin Narcomey; Ranjay Krishna; Michael S. Bernstein; Li Fei-Fei 001 (ICCV Workshops, 2019)

Eidetic 3D LSTM: A Model for Video Prediction and Beyond. - Yunbo Wang; Lu Jiang 004; Ming-Hsuan Yang 001; Li-Jia Li 001; Mingsheng Long; Li Fei-Fei 001 (ICLR (Poster), 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 003; Silvio Savarese; Li Fei-Fei 001; Animesh Garg; Jeannette Bohg (ICRA, 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 001; Juan Carlos Niebles (IROS, 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 001 (IROS, 2019)

Regression Planning Networks. - Danfei Xu; Roberto Martín-Martín; De-An Huang; Yuke Zhu; Silvio Savarese; Li Fei-Fei 001 (NeurIPS, 2019)

HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models. - Sharon Zhou; Mitchell L. Gordon; Ranjay Krishna; Austin Narcomey; Li Fei-Fei 001; Michael S. Bernstein (NeurIPS, 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 001; Juan Carlos Niebles (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 001 (CoRR, 2019)

Dual Sequential Monte Carlo: Tunneling Filtering and Planning in Continuous POMDPs. - Yunbo Wang; Bo Liu 042; Jiajun Wu 001; Yuke Zhu; Simon S. Du; Li Fei-Fei 001; Joshua B. Tenenbaum (CoRR, 2019)

Causal Induction from Visual Observations for Goal Directed Tasks. - Suraj Nair 003; Yuke Zhu; Silvio Savarese; Li Fei-Fei 001 (CoRR, 2019)

Bias-Resilient Neural Network. - Ehsan Adeli 001; Qingyu Zhao; Adolf Pfefferbaum; Edith V. Sullivan; Li Fei-Fei 001; Juan Carlos Niebles; Kilian M. Pohl (CoRR, 2019)

IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data. - Ajay Mandlekar; Fabio Ramos 001; Byron Boots; Li Fei-Fei 001; Animesh Garg; Dieter Fox (CoRR, 2019)

Deep Bayesian Active Learning for Multiple Correct Outputs. - Khaled Jedoui; Ranjay Krishna; Michael S. Bernstein; Li Fei-Fei 001 (CoRR, 2019)

Action Genome: Actions as Composition of Spatio-temporal Scene Graphs. - Jingwei Ji; Ranjay Krishna; Li Fei-Fei 001; Juan Carlos Niebles (CoRR, 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 001; Matthew P. Lungren; Bhavik N. Patel (Nat. Mach. Intell., 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; et al. (npj Digit. Medicine, 2019)

Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs. - Jingwei Ji; Ranjay Krishna; Li Fei-Fei 001; Juan Carlos Niebles (CVPR, 2020)

Procedure Planning in Instructional Videos. - Chien-Yi Chang; De-An Huang; Danfei Xu; Ehsan Adeli 001; Li Fei-Fei 001; Juan Carlos Niebles (ECCV (11), 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 001 (ECCV (19), 2020)

Towards fairer datasets: filtering and balancing the distribution of the people subtree in the ImageNet hierarchy. - Kaiyu Yang; Klint Qinami; Li Fei-Fei 001; Jia Deng 001; Olga Russakovsky (FAT*, 2020)

Motion Reasoning for Goal-Based Imitation Learning. - De-An Huang; Yu-Wei Chao; Chris Paxton 001; Xinke Deng; Li Fei-Fei 001; Juan Carlos Niebles; Animesh Garg; Dieter Fox (ICRA, 2020)

IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data. - Ajay Mandlekar; Fabio Ramos 001; Byron Boots; Silvio Savarese; Li Fei-Fei 001; Animesh Garg; Dieter Fox (ICRA, 2020)

KETO: Learning Keypoint Representations for Tool Manipulation. - Zengyi Qin; Kuan Fang; Yuke Zhu; Li Fei-Fei 001; Silvio Savarese (ICRA, 2020)

6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints. - Chen Wang 053; Roberto Martín-Martín; Danfei Xu; Jun Lv; Cewu Lu; Li Fei-Fei 001; Silvio Savarese; Yuke Zhu (ICRA, 2020)

DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs. - Yunbo Wang; Bo Liu 042; Jiajun Wu 001; Yuke Zhu; Simon S. Du; Li Fei-Fei 001; Joshua B. Tenenbaum (IJCAI, 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 001; Kilian M. Pohl; Juan Carlos Niebles; Ehsan Adeli 001 (MICCAI (3), 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 001; Jiajun Wu 001; Josh Tenenbaum 001; Daniel L. K. Yamins (NeurIPS, 2020)

GTI: Learning to Generalize across Long-Horizon Tasks from Human Demonstrations. - Ajay Mandlekar; Danfei Xu; Roberto Martín-Martín; Silvio Savarese; Li Fei-Fei 001 (Robotics: Science and Systems, 2020)

Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations. - Ajay Mandlekar; Danfei Xu; Roberto Martín-Martín; Silvio Savarese; Li Fei-Fei 001 (CoRR, 2020)

iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes. - Bokui Shen; Fei Xia 002; Chengshu Li 002; Roberto Martín-Martín; Linxi Fan; Guanzhi Wang; Shyamal Buch; Claudia D'Arpino; Sanjana Srivastava; Lyne P. Tchapmi; Micael E. Tchapmi; Kent Vainio; et al. (CoRR, 2020)

Human-in-the-Loop Imitation Learning using Remote Teleoperation. - Ajay Mandlekar; Danfei Xu; Roberto Martín-Martín; Yuke Zhu; Li Fei-Fei 001; Silvio Savarese (CoRR, 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 001; Silvio Savarese (Int. J. Robotics Res., 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 001; Arnold Milstein (J. Am. Medical Informatics Assoc., 2020)

Illuminating the dark spaces of healthcare with ambient intelligence. - Albert Haque; Arnold Milstein; Li Fei-Fei 001 (Nat., 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 001; Nigam H. Shah (npj Digit. Medicine, 2020)

Conceptual Metaphors Impact Perceptions of Human-AI Collaboration. - Pranav Khadpe; Ranjay Krishna; Li Fei-Fei 001; Jeffrey T. Hancock; Michael S. Bernstein (Proc. ACM Hum. Comput. Interact., 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 001; Animesh Garg; Jeannette Bohg (IEEE Trans. Robotics, 2020)

Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering. - Siddharth Karamcheti; Ranjay Krishna; Li Fei-Fei 001; Christopher D. Manning (ACL/IJCNLP (1), 2021)

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks. - Chengshu Li 002; Fei Xia 002; Roberto Martín-Martín; Michael Lingelbach; Sanjana Srivastava; Bokui Shen; Kent Elliott Vainio; Cem Gokmen; Gokul Dharan; Tanish Jain; Andrey Kurenkov; C. Karen Liu; et al. (CoRL, 2021)

ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations. - Ruohan Gao; Yen-Yu Chang; Shivani Mall; Li Fei-Fei 001; Jiajun Wu 001 (CoRL, 2021)

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation. - Ajay Mandlekar; Danfei Xu; Josiah Wong; Soroush Nasiriany; Chen Wang 053; Rohun Kulkarni; Li Fei-Fei 001; Silvio Savarese; Yuke Zhu; Roberto Martín-Martín (CoRL, 2021)

BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments. - Sanjana Srivastava; Chengshu Li 002; Michael Lingelbach; Roberto Martín-Martín; Fei Xia 002; Kent Elliott Vainio; Zheng Lian; Cem Gokmen; Shyamal Buch; C. Karen Liu; Silvio Savarese; Hyowon Gweon; et al. (CoRL, 2021)

Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration. - Chen Wang 053; Claudia Pérez-D'Arpino; Danfei Xu; Li Fei-Fei 001; C. Karen Liu; Silvio Savarese (CoRL, 2021)

Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation. - Josiah Wong; Albert Tung; Andrey Kurenkov; Ajay Mandlekar; Li Fei-Fei 001; Silvio Savarese; Roberto Martín-Martín (CoRL, 2021)

Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks. - Bohan Wu; Suraj Nair 003; Li Fei-Fei 001; Chelsea Finn (CoRL, 2021)

Metadata Normalization. - Mandy Lu; Qingyu Zhao; Jiequan Zhang; Kilian M. Pohl; Li Fei-Fei 001; Juan Carlos Niebles; Ehsan Adeli 001 (CVPR, 2021)

Scalable Differential Privacy With Sparse Network Finetuning. - Zelun Luo; Daniel J. Wu; Ehsan Adeli 001; Li Fei-Fei 001 (CVPR, 2021)

Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction. - Bohan Wu; Suraj Nair 003; Roberto Martín-Martín; Li Fei-Fei 001; Chelsea Finn (CVPR, 2021)

Adaptive Procedural Task Generation for Hard-Exploration Problems. - Kuan Fang; Yuke Zhu; Silvio Savarese; Li Fei-Fei 001 (ICLR, 2021)

SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies. - Linxi Fan; Guanzhi Wang; De-An Huang; Zhiding Yu; Li Fei-Fei 001; Yuke Zhu; Animashree Anandkumar (ICML, 2021)

Learning Multi-Arm Manipulation Through Collaborative Teleoperation. - Albert Tung; Josiah Wong; Ajay Mandlekar; Roberto Martín-Martín; Yuke Zhu; Li Fei-Fei 001; Silvio Savarese (ICRA, 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 001 (ICRA, 2021)

iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes. - Bokui Shen; Fei Xia 002; Chengshu Li 002; Roberto Martín-Martín; Linxi Fan; Guanzhi Wang; Claudia Pérez-D'Arpino; Shyamal Buch; Sanjana Srivastava; Lyne Tchapmi; Micael Tchapmi; Kent Vainio; et al. (IROS, 2021)

Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control. - Chen Wang 053; Rui Wang; Ajay Mandlekar; Li Fei-Fei 001; Silvio Savarese; Danfei Xu (IROS, 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 001; Fan-Yun Sun; Fei-Fei Li 001; Nancy Kanwisher; et al. (NeurIPS Datasets and Benchmarks, 2021)

MOMA: Multi-Object Multi-Actor Activity Parsing. - Zelun Luo; Wanze Xie; Siddharth Kapoor; Yiyun Liang; Michael Cooper; Juan Carlos Niebles; Ehsan Adeli 001; Fei-Fei Li 001 (NeurIPS, 2021)

Discovering Generalizable Skills via Automated Generation of Diverse Tasks. - Kuan Fang; Yuke Zhu; Silvio Savarese; Li Fei-Fei 001 (Robotics: Science and Systems, 2021)

Representation Learning with Statistical Independence to Mitigate Bias. - Ehsan Adeli-Mosabbeb; Qingyu Zhao; Adolf Pfefferbaum; Edith V. Sullivan; Li Fei-Fei 001; Juan Carlos Niebles; Kilian M. Pohl (WACV, 2021)

Embodied Intelligence via Learning and Evolution. - Agrim Gupta; Silvio Savarese; Surya Ganguli; Li Fei-Fei 001 (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 001; Fan-Yun Sun; Li Fei-Fei 001; Nancy Kanwisher; et al. (CoRR, 2021)

Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning. - Kaylee Burns; Christopher D. Manning; Li Fei-Fei 001 (CoRR, 2021)

On the Opportunities and Risks of Foundation Models. - Rishi Bommasani; Drew A. Hudson; Ehsan Adeli 001; Russ B. Altman; Simran Arora; Sydney von Arx; Michael S. Bernstein; Jeannette Bohg; Antoine Bosselut; Emma Brunskill; Erik Brynjolfsson; Shyamal Buch; et al. (CoRR, 2021)

Visual Intelligence through Human Interaction. - Ranjay Krishna; Mitchell L. Gordon; Li Fei-Fei 001; Michael S. Bernstein (CoRR, 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; et al. (Medical Image Anal., 2021)

Neural Event Semantics for Grounded Language Understanding. - Shyamal Buch; Li Fei-Fei 001; Noah D. Goodman (Trans. Assoc. Comput. Linguistics, 2021)

Next Big Challenges in Core AI Technology. - Andreas Dengel 001; Oren Etzioni; Nicole DeCario; Holger H. Hoos; Li Fei-Fei 001; Junichi Tsujii; Paolo Traverso (Reflections on Artificial Intelligence for Humanity, 2021)

BEHAVIOR-1K: A Benchmark for Embodied AI with 1, 000 Everyday Activities and Realistic Simulation. - Chengshu Li 002; Ruohan Zhang; Josiah Wong; Cem Gokmen; Sanjana Srivastava; Roberto Martín-Martín; Chen Wang 053; Gabrael Levine; Michael Lingelbach; Jiankai Sun; Mona Anvari; Minjune Hwang; et al. (CoRL, 2022)

See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation. - Hao Li 076; Yizhi Zhang; Junzhe Zhu; Shaoxiong Wang; Michelle A. Lee; Huazhe Xu; Edward H. Adelson; Li Fei-Fei 001; Ruohan Gao; Jiajun Wu 001 (CoRL, 2022)

A Dual Representation Framework for Robot Learning with Human Guidance. - Ruohan Zhang; Dhruva Bansal; Yilun Hao; Ayano Hiranaka; Jialu Gao; Chen Wang 053; Roberto Martín-Martín; Li Fei-Fei 001; Jiajun Wu 001 (CoRL, 2022)

Revisiting the "Video" in Video-Language Understanding. - Shyamal Buch; Cristóbal Eyzaguirre; Adrien Gaidon; Jiajun Wu 001; Li Fei-Fei 001; Juan Carlos Niebles (CVPR, 2022)

ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer. - Ruohan Gao; Zilin Si; Yen-Yu Chang; Samuel Clarke; Jeannette Bohg; Li Fei-Fei 001; Wenzhen Yuan 001; Jiajun Wu 001 (CVPR, 2022)

Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning. - Liangqiong Qu; Yuyin Zhou; Paul Pu Liang; Yingda Xia; Feifei Wang; Ehsan Adeli 001; Li Fei-Fei 001; Daniel L. Rubin (CVPR, 2022)

PrivHAR: Recognizing Human Actions from Privacy-Preserving Lens. - Carlos Hinojosa; Miguel Marquez; Henry Arguello; Ehsan Adeli 001; Li Fei-Fei 001; Juan Carlos Niebles (ECCV (4), 2022)

MetaMorph: Learning Universal Controllers with Transformers. - Agrim Gupta; Linxi Fan; Surya Ganguli; Li Fei-Fei 001 (ICLR, 2022)

A Study of Face Obfuscation in ImageNet. - Kaiyu Yang; Jacqueline H. Yau; Li Fei-Fei 001; Jia Deng 001; Olga Russakovsky (ICML, 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 001; Kilian M. Pohl; Ehsan Adeli-Mosabbeb (MICCAI (8), 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 001; Juan Carlos Niebles; Ehsan Adeli 001; Fei-Fei Li 001 (NeurIPS, 2022)

ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward. - Zixian Ma; Rose E. Wang; Fei-Fei Li 001; Michael S. Bernstein; Ranjay Krishna (NeurIPS, 2022)

BEHAVIOR in Habitat 2.0: Simulator-Independent Logical Task Description for Benchmarking Embodied AI Agents. - Ziang Liu 008; Roberto Martín-Martín; Fei Xia 002; Jiajun Wu 001; Li Fei-Fei 001 (CoRR, 2022)

VIMA: General Robot Manipulation with Multimodal Prompts. - Yunfan Jiang 001; Agrim Gupta; Zichen Zhang 011; Guanzhi Wang; Yongqiang Dou; Yanjun Chen; Li Fei-Fei 001; Anima Anandkumar; Yuke Zhu; Linxi Fan (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 001; Anthony G. Francis; et al. (CoRR, 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 001; Jeannette Bohg (CoRR, 2022)

Advances, challenges and opportunities in creating data for trustworthy AI. - Weixin Liang; Girmaw Abebe Tadesse; Daniel E. Ho; Li Fei-Fei 001; Matei Zaharia; Ce Zhang 001; James Zou 001 (Nat. Mach. Intell., 2022)

Generalizable Task Planning Through Representation Pretraining. - Chen Wang 053; Danfei Xu; Li Fei-Fei 001 (IEEE Robotics Autom. Lett., 2022)

Author Correction: Advances, challenges and opportunities in creating data for trustworthy AI. - Weixin Liang; Girmaw Abebe Tadesse; Daniel E. Ho; Li Fei-Fei 001; Matei Zaharia; Ce Zhang 001; James Zou 001 (Nat. Mac. Intell., 2022)

Quantifying the Effect of Visual Impairments on Daily Activities in Virtual, Interactive Environments. - Wensi Ai; Sharon Lee; Li Fei-Fei 001; Jiajun Wu 001; Ruohan Zhang (CogSci, 2023)

Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation. - Yuanpei Chen; Chen Wang 053; Li Fei-Fei 001; C. Karen Liu (CoRL, 2023)

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models. - Wenlong Huang; Chen Wang 053; Ruohan Zhang; Yunzhu Li; Jiajun Wu 001; Li Fei-Fei 001 (CoRL, 2023)

MimicPlay: Long-Horizon Imitation Learning by Watching Human Play. - Chen Wang 053; Linxi Fan; Jiankai Sun; Ruohan Zhang; Li Fei-Fei 001; Danfei Xu; Yuke Zhu; Anima Anandkumar (CoRL, 2023)

NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities. - Ruohan Zhang; Sharon Lee; Minjune Hwang; Ayano Hiranaka; Chen Wang 053; Wensi Ai; Jin Jie Ryan Tan; Shreya Gupta; Yilun Hao; Gabrael Levine; Ruohan Gao; Anthony Norcia; et al. (CoRL, 2023)

The Object Folder Benchmark : Multisensory Learning with Neural and Real Objects. - Ruohan Gao; Yiming Dou; Hao Li 076; Tanmay Agarwal; Jeannette Bohg; Yunzhu Li; Li Fei-Fei 001; Jiajun Wu 001 (CVPR, 2023)

Rendering Humans from Object-Occluded Monocular Videos. - Tiange Xiang; Adam Sun; Jiajun Wu 001; Ehsan Adeli 001; Li Fei-Fei 001 (ICCV, 2023)

MaskViT: Masked Visual Pre-Training for Video Prediction. - Agrim Gupta; Stephen Tian; Yunzhi Zhang; Jiajun Wu 001; Roberto Martín-Martín; Li Fei-Fei 001 (ICLR, 2023)

VIMA: Robot Manipulation with Multimodal Prompts. - Yunfan Jiang 001; Agrim Gupta; Zichen Zhang 011; Guanzhi Wang; Yongqiang Dou; Yanjun Chen; Li Fei-Fei 001; Anima Anandkumar; Yuke Zhu; Linxi Fan (ICML, 2023)

Modeling Dynamic Environments with Scene Graph Memory. - Andrey Kurenkov; Michael Lingelbach; Tanmay Agarwal; Emily Jin; Chengshu Li 002; Ruohan Zhang; Li Fei-Fei 001; Jiajun Wu 001; Silvio Savarese; Roberto Martín-Martín (ICML, 2023)

Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear. - Ruohan Gao; Hao Li 076; Gokul Dharan; Zhuzhu Wang; Chengshu Li 002; Fei Xia 002; Silvio Savarese; Li Fei-Fei 001; Jiajun Wu 001 (ICRA, 2023)

Task-Driven Graph Attention for Hierarchical Relational Object Navigation. - Michael Lingelbach; Chengshu Li 002; Minjune Hwang; Andrey Kurenkov; Alan Lou; Roberto Martín-Martín; Ruohan Zhang; Li Fei-Fei 001; Jiajun Wu 001 (ICRA, 2023)

M-EMBER: Tackling Long-Horizon Mobile Manipulation via Factorized Domain Transfer. - Bohan Wu; Roberto Martín-Martín; Li Fei-Fei 001 (ICRA, 2023)

Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks. - Kuan Fang; Toki Migimatsu; Ajay Mandlekar; Li Fei-Fei 001; Jeannette Bohg (IROS, 2023)

Primitive Skill-Based Robot Learning from Human Evaluative Feedback. - Ayano Hiranaka; Minjune Hwang; Sharon Lee; Chen Wang 053; Li Fei-Fei 001; Jiajun Wu 001; Ruohan Zhang (IROS, 2023)

Model-Based Control with Sparse Neural Dynamics. - Ziang Liu 008; Genggeng Zhou; Jeff He; Tobia Marcucci; Fei-Fei Li 001; Jiajun Wu 001; Yunzhu Li (NeurIPS, 2023)

Siamese Masked Autoencoders. - Agrim Gupta; Jiajun Wu 001; Jia Deng 001; Fei-Fei Li 001 (NeurIPS, 2023)

Holistic Evaluation of Text-to-Image Models. - Tony Lee; Michihiro Yasunaga; Chenlin Meng; Yifan Mai 001; Joon Sung Park; Agrim Gupta; Yunzhi Zhang; Deepak Narayanan; Hannah Teufel; Marco Bellagente; Minguk Kang; Taesung Park; et al. (NeurIPS, 2023)

Dynamic-Resolution Model Learning for Object Pile Manipulation. - Yixuan Wang 003; Yunzhu Li; Katherine Driggs-Campbell; Li Fei-Fei 001; Jiajun Wu 001 (Robotics: Science and Systems, 2023)

The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects. - Ruohan Gao; Yiming Dou; Hao Li 076; Tanmay Agarwal; Jeannette Bohg; Yunzhu Li; Li Fei-Fei 001; Jiajun Wu 001 (CoRR, 2023)

HomE: Homography-Equivariant Video Representation Learning. - Anirudh Sriram; Adrien Gaidon; Jiajun Wu 001; Juan Carlos Niebles; Li Fei-Fei 001; Ehsan Adeli 001 (CoRR, 2023)

MindAgent: Emergent Gaming Interaction. - Ran Gong; Qiuyuan Huang; Xiaojian Ma 001; Hoi Vo; Zane Durante; Yusuke Noda; Zilong Zheng; Song-Chun Zhu; Demetri Terzopoulos; Li Fei-Fei 001; Jianfeng Gao 001 (CoRR, 2023)

D3Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Robotic Manipulation. - Yixuan Wang 003; Zhuoran Li; Mingtong Zhang; Katherine Rose Driggs-Campbell; Jiajun Wu 001; Li Fei-Fei 001; Yunzhu Li (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 001; Li Fei-Fei 001; Roberto Martín-Martín (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 001; Deqing Sun; Jiajun Wu 001 (CoRR, 2023)

Guest Editorial: Introduction to the Special Section on Graphs in Vision and Pattern Analysis. - Song Bai 001; Philip H. S. Torr; Ranjay Krishna; Li Fei-Fei 001; Abhinav Gupta 001; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

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 001; Ehsan Adeli 001 (BMVC, 2024)

TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction. - Yunfan Jiang 001; Chen Wang 053; Ruohan Zhang; Jiajun Wu 001; Li Fei-Fei 001 (CoRL, 2024)

Automated Creation of Digital Cousins for Robust Policy Learning. - Tianyuan Dai; Josiah Wong; Yunfan Jiang 001; Chen Wang 053; Cem Gokmen; Ruohan Zhang; Jiajun Wu 001; Li Fei-Fei 001 (CoRL, 2024)

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation. - Wenlong Huang; Chen Wang 053; Yunzhu Li; Ruohan Zhang; Li Fei-Fei 001 (CoRL, 2024)

D3Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Rearrangement. - Yixuan Wang 003; Mingtong Zhang; Zhuoran Li; Tarik Kelestemur; Katherine Rose Driggs-Campbell; Jiajun Wu 001; Li Fei-Fei 001; Yunzhu Li (CoRL, 2024)

BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. - Yunhao Ge; Yihe Tang; Jiashu Xu; Cem Gokmen; Chengshu Li 001; Wensi Ai; Benjamin Jose Martinez; Arman Aydin; Mona Anvari; Ayush K. Chakravarthy; Hong-Xing Yu; Josiah Wong; et al. (CVPR, 2024)

ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image. - Kyle Sargent; Zizhang Li; Tanmay Shah; Charles Herrmann; Hong-Xing Yu; Yunzhi Zhang; Eric Ryan Chan; Dmitry Lagun; Li Fei-Fei 001; Deqing Sun; Jiajun Wu 001 (CVPR, 2024)

Photorealistic Video Generation with Diffusion Models. - Agrim Gupta; Lijun Yu; Kihyuk Sohn; Xiuye Gu; Meera Hahn; Fei-Fei Li 001; Irfan Essa; Lu Jiang 004; José Lezama (ECCV (79), 2024)

Chain of Code: Reasoning with a Language Model-Augmented Code Emulator. - Chengshu Li 002; Jacky Liang; Andy Zeng 001; Xinyun Chen; Karol Hausman; Dorsa Sadigh; Sergey Levine; Li Fei-Fei 001; Fei Xia 002; Brian Ichter (ICML, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

MindAgent: Emergent Gaming Interaction. - Ran Gong; Qiuyuan Huang; Xiaojian Ma 001; Yusuke Noda; Zane Durante; Zilong Zheng; Demetri Terzopoulos; Li Fei-Fei 001; Jianfeng Gao 001; Hoi Vo (NAACL-HLT (Findings), 2024)

HourVideo: 1-Hour Video-Language Understanding. - Keshigeyan Chandrasegaran; Agrim Gupta; Lea M. Hadzic; Taran Kota; Jimming He; Cristóbal Eyzaguirre; Zane Durante; Manling Li; Jiajun Wu 001; Li Fei-Fei 001 (NeurIPS, 2024)

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making. - Manling Li; Shiyu Zhao; Qineng Wang; Kangrui Wang; Yu Zhou; Sanjana Srivastava; Cem Gokmen; Tony Lee; Li Erran Li; Ruohan Zhang; Weiyu Liu; Percy Liang; et al. (NeurIPS, 2024)

OccFusion: Rendering Occluded Humans with Generative Diffusion Priors. - Adam Sun; Tiange Xiang; Scott L. Delp; Li Fei-Fei 001; Ehsan Adeli 001 (NeurIPS, 2024)

DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation. - Chen Wang 053; Haochen Shi; Weizhuo Wang 001; Ruohan Zhang; Li Fei-Fei 001; C. Karen Liu (Robotics: Science and Systems, 2024)

Differentially Private Video Activity Recognition. - Zelun Luo; Yuliang Zou; Yijin Yang; Zane Durante; De-An Huang; Zhiding Yu; Chaowei Xiao; Li Fei-Fei 001; Animashree Anandkumar (WACV, 2024)

Wild2Avatar: Rendering Humans Behind Occlusions. - Tiange Xiang; Adam Sun; Scott L. Delp; Kazuki Kozuka; Li Fei-Fei 001; Ehsan Adeli 001 (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 001; Katsushi Ikeuchi; Hoi Vo; et al. (CoRR, 2024)

An Interactive Agent Foundation Model. - Zane Durante; Bidipta Sarkar; Ran Gong; Rohan Taori; Yusuke Noda; Paul Tang; Ehsan Adeli 001; Shrinidhi Kowshika Lakshmikanth; Kevin A. Schulman; Arnold Milstein; Demetri Terzopoulos; Ade Famoti; et al. (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 001; et al. (CoRR, 2024)

BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1, 000 Everyday Activities and Realistic Simulation. - Chengshu Li 002; Ruohan Zhang; Josiah Wong; Cem Gokmen; Sanjana Srivastava; Roberto Martín-Martín; Chen Wang 053; Gabrael Levine; Wensi Ai; Benjamin Jose Martinez; Hang Yin 010; Michael Lingelbach; et al. (CoRR, 2024)

BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. - Yunhao Ge; Yihe Tang; Jiashu Xu; Cem Gokmen; Chengshu Li 002; Wensi Ai; Benjamin Jose Martinez; Arman Aydin; Mona Anvari; Ayush K. Chakravarthy; Hong-Xing Yu; Josiah Wong; et al. (CoRR, 2024)

ARCap: Collecting High-quality Human Demonstrations for Robot Learning with Augmented Reality Feedback. - Sirui Chen; Chen Wang 053; Kaden Nguyen; Li Fei-Fei 001; C. Karen Liu (CoRR, 2024)

Data-driven discovery of movement-linked heterogeneity in neurodegenerative diseases. - Mark Endo; Favour Nerrise; Qingyu Zhao; Edith V. Sullivan; Li Fei-Fei 001; Victor W. Henderson; Kilian M. Pohl; Kathleen L. Poston; Ehsan Adeli 001 (Nat. Mac. Intell., 2024)

NeuHMR: Neural Rendering-Guided Human Motion Reconstruction. - Tiange Xiang; Kuan-Chieh Wang; Jaewoo Heo; Ehsan Adeli 001; Serena Yeung; Scott L. Delp; Li Fei-Fei 001 (3DV, 2025)

The Language of Motion: Unifying Verbal and Non-verbal Language of 3D Human Motion. - Changan Chen; Juze Zhang; Shrinidhi K. Lakshmikanth; Yusu Fang; Ruizhi Shao; Gordon Wetzstein; Li Fei-Fei 001; Ehsan Adeli 001 (CVPR, 2025)

An Interactive Agent Foundation Model. - Zane Durante; Ran Gong; Bidipta Sarkar; Naoki Wake; Rohan Taori; Paul Tang; Shrinidhi Kowshika Lakshmikanth; Kevin A. Schulman; Arnold Milstein; Hoi Vo; Ehsan Adeli 001; Demetri Terzopoulos; et al. (CVPR Workshops, 2025)

Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces. - Jihan Yang; Shusheng Yang; Anjali W. Gupta; Rilyn Han; Li Fei-Fei 001; Saining Xie (CVPR, 2025)

Re-thinking Temporal Search for Long-Form Video Understanding. - Jinhui Ye; Zihan Wang 008; Haosen Sun; Keshigeyan Chandrasegaran; Zane Durante; Cristóbal Eyzaguirre; Yonatan Bisk; Juan Carlos Niebles; Ehsan Adeli 001; Li Fei-Fei 001; Jiajun Wu 001; Manling Li (CVPR, 2025)

Foundation versus domain-specific models for left ventricular segmentation on cardiac ultrasound. - Chieh-Ju Chao; Yunqi Richard Gu; Wasan Kumar; Tiange Xiang; Lalith Appari; Justin Wu; Juan Maria Farina; Rachael Wraith; Jiwoong Jason Jeong; Reza Arsanjani; Garvan C. Kane; Jae K. Oh; et al. (npj Digit. Medicine, 2025)

Why Automate This? Exploring the Connection between Time Use, Well-being and Robot Automation Across Social Groups. - Ruchira Ray; Leona Pang; Sanjana Srivastava; Li Fei-Fei 001; Samantha Shorey; Roberto Martín-Martín (CoRR, 2025)

s1: Simple test-time scaling. - Niklas Muennighoff; Zitong Yang; Weijia Shi; Xiang Lisa Li; Li Fei-Fei 001; Hannaneh Hajishirzi; Luke Zettlemoyer; Percy Liang; Emmanuel J. Candès; Tatsunori Hashimoto (CoRR, 2025)

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. - Justin Johnson 001; Bharath Hariharan; Laurens van der Maaten; Fei-Fei Li 001; C. Lawrence Zitnick; Ross B. Girshick (Zenodo, 2025)

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 001; Svetlana Lazebnik; Yunzhu Li (CoRR, 2025)

BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities. - Yunfan Jiang 001; Ruohan Zhang; Josiah Wong; Chen Wang 053; Yanjie Ze; Hang Yin 010; Cem Gokmen; Shuran Song; Jiajun Wu 001; Li Fei-Fei 001 (CoRR, 2025)

Towards Fine-Grained Video Question Answering. - Wei Dai 013; Alan Luo; Zane Durante; Debadutta Dash; Arnold Milstein; Kevin A. Schulman; Ehsan Adeli 001; Fei-Fei Li 001 (CoRR, 2025)

Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization. - Kyle Sargent; Kyle Hsu; Justin Johnson 001; Li Fei-Fei 001; Jiajun Wu 001 (CoRR, 2025)

Repurposing 2D Diffusion Models with Gaussian Atlas for 3D Generation. - Tiange Xiang; Kai Li; Chengjiang Long; Christian Häne; Peihong Guo; Scott L. Delp; Ehsan Adeli 001; Li Fei-Fei 001 (CoRR, 2025)

WorldScore: A Unified Evaluation Benchmark for World Generation. - Haoyi Duan; Hong-Xing Yu; Sirui Chen; Li Fei-Fei 001; Jiajun Wu 001 (CoRR, 2025)

Chain-of-Modality: Learning Manipulation Programs from Multimodal Human Videos with Vision-Language-Models. - Chen Wang 053; Fei Xia 002; Wenhao Yu 003; Tingnan Zhang; Ruohan Zhang; C. Karen Liu; Li Fei-Fei 001; Jie Tan 001; Jacky Liang (CoRR, 2025)

RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning. - Zihan Wang 008; Kangrui Wang; Qineng Wang; Pingyue Zhang; Linjie Li; Zhengyuan Yang; Xing Jin; Kefan Yu; Minh Nhat Nguyen; Licheng Liu; Eli Gottlieb; Yiping Lu; et al. (CoRR, 2025)

Exploring Diffusion Transformer Designs via Grafting. - Keshigeyan Chandrasegaran; Michael Poli; Daniel Y. Fu; Dongjun Kim; Lea M. Hadzic; Manling Li; Agrim Gupta; Stefano Massaroli; Azalia Mirhoseini; Juan Carlos Niebles; Stefano Ermon; Li Fei-Fei 001 (CoRR, 2025)

UAD: Unsupervised Affordance Distillation for Generalization in Robotic Manipulation. - Yihe Tang; Wenlong Huang; Yingke Wang; Chengshu Li 002; Roy Yuan; Ruohan Zhang; Jiajun Wu 001; Li Fei-Fei 001 (CoRR, 2025)

The California Report on Frontier AI Policy. - Rishi Bommasani; Scott R. Singer; Ruth E. Appel; Sarah Cen; A. Feder Cooper; Elena Cryst; Lindsey A. Gailmard; Ian Klaus; Meredith M. Lee; Inioluwa Deborah Raji; Anka Reuel; Drew Spence; et al. (CoRR, 2025)

Spatial Mental Modeling from Limited Views. - Baiqiao Yin; Qineng Wang; Pingyue Zhang; Jianshu Zhang; Kangrui Wang; Zihan Wang 008; Jieyu Zhang 001; Keshigeyan Chandrasegaran; Han Liu; Ranjay Krishna; Saining Xie; Manling Li; et al. (CoRR, 2025)

Advancing Science- and Evidence-based AI Policy. - Rishi Bommasani; Sanjeev Arora; Jennifer T. Chayes; Yejin Choi 001; Mariano-Florentino Cuellar; Li Fei-Fei 001; Daniel E. Ho; Dan Jurafsky; Sanmi Koyejo; Hima Lakkaraju; Arvind Narayanan; Alondra Nelson; et al. (CoRR, 2025)