(Please cite all of Fei-Fei’s papers with the name L. Fei-Fei.)
2018
Learning Task-Oriented Grasping for Tool Manipulation with Simulated Self-Supervision
Kuan Fang, Yuke Zhu, Animesh Garg, Virja Mehta, Andrey Kuryenkov, Li Fei-Fei, Silvio Savarese
RSS 2018
Bedside Computer Vision -- Moving Artificial Intelligence from Driver Assistance to Patient Safety
Serena Yeung, N. Lance Downing, Li Fei-Fei, Arnold Milstein
New England Journal of Medicine 2018
Emergence of Structured Behaviors from Curiosity-Based Intrinsic Motivation
Nick Haber*, Damian Mrowca*, Li Fei-Fei, Daniel L. K. Yamins
CogSci 2018
Image Generation from Scene Graphs
Justin Johnson, Agrim Gupta, Li Fei-Fei
CVPR 2018
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, Alexandre Alahi
CVPR 2018
Referring Relationships
Ranjay Krishna, Ines Chami, Michael Bernstein, and Li Fei-Fei
CVPR 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, and Juan Carlos Niebles
CVPR 2018 (spotlight)
Finding "It": Weakly-Supervised Reference-Aware Visual Grounding in Instructional Video
De-An Huang*, Shyamal Buch*, Lucio Dery, Animesh Garg, Li Fei-Fei, and Juan Carlos Niebles
CVPR 2018 (oral)
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks
Danfei Xu*, Suraj Nair*, Yuke Zhu, Julian Gao, Animesh Garg, Li Fei-Fei, Silvio Savarese
ICRA 2018
Scaling Human-Object Interaction Recognition through Zero-Shot Learning
Liyue Shen, Serena Yeung, Judy Hoffman, Greg Mori, Li Fei-Fei
WACV 2018
2017
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
Machine Learning for Health Workshop, NIPS 2017 (Best Workshop Paper Award)
Viewpoint Invariant Convolutional Networks for Identifying Risky Hand Hygiene Scenarios
Michelle Guo, Albert Haque, Serena Yeung, Jeffrey Jopling, Lance Downing, Alexandre Alahi, Brandi Campbell, Kayla Deru, William Beninati, Arnold Milstein, Li Fei-Fei
Machine Learning for Health Workshop, NIPS 2017
Vision-Based Prediction of ICU Mobility Care Activities using Recurrent Neural Networks
Gabriel M. Bianconi, Rishab Mehra, Serena Yeung, Francesca Salipur, Jeffrey Jopling, Lance Downing, Albert Haque, Alexandre Alahi, Brandi Campbell, Kayla Deru, William Beninati, Arnold Milstein, Li Fei-Fei
Machine Learning for Health Workshop, NIPS 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
PNAS 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
ISRR 2017
Crowd Research: Open and Scalable University Laboratories
Rajan Vaish, Snehalkumar Gaikwad, Geza Kovacs, Andreas Veit, Ranjay Krishna, Imanol Arrieta Ibarra, Camelia Simoiu, Michael Wilber, Serge Belongie, Sharad C. Goel, James Davis, Michael Bernstein
UIST 2017 (Best Paper Honorable Mention)
Label Efficient Learning of Transferable Representations across Domains and Tasks
Zelun Luo, Yuliang Zou, Judy Hoffman, Li Fei-Fei
NIPS 2017
End-to-End, Single-Stream Temporal Action Detection in Untrimmed Videos
Shyamal Buch, Victor Escorcia, Bernard Ghanem, Li Fei-Fei, Juan Carlos Niebles
BMVC 2017 (oral)
Fine-grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach
Timnit Gebru, Judy Hoffman, Li Fei-Fei
ICCV 2017
Visual Semantic Planning using Deep Successor Representations
Yuke Zhu*, Daniel Gordon*, Eric Kolve, Dieter Fox, Li Fei-Fei, Abhinav Gupta, Roozbeh Mottaghi, Ali Farhadi
ICCV 2017
Dense-Captioning Events in Videos
Ranjay Krishna, Kenji Hata, Frederic Ren, Li Fei-Fei, Juan Carlos Niebles
ICCV 2017
Inferring and Executing Programs for Visual Reasoning
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross Girshick
ICCV 2017 (oral)
Characterizing and Improving Stability in Neural Style Transfer
Agrim Gupta, Justin Johnson, Alexandre Alahi, Li Fei-Fei
ICCV 2017
Adversarially Robust Policy Learning through Active Construction of Physically-Plausible Perturbations
Ajay Mandlekar*, Yuke Zhu*, Animesh Garg*, Li Fei-Fei, Silvio Savarese
IROS 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, Amit Singh, Jeffrey Jopling, Lance Downing, William Beninati, Terry Platchek, Arnold Milstein, Li Fei-Fei
MLHC 2017
Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos
De-An Huang, Joseph J. Lim, Li Fei-Fei, and Juan Carlos Niebles
CVPR 2017
Scene Graph Generation by Iterative Message Passing
Danfei Xu, Yuke Zhu, Christopher B. Choy, Li Fei-Fei
CVPR 2017
Knowledge Acquisition for Visual Question Answering via Iterative Querying
Yuke Zhu, Joseph J. Lim, Li Fei-Fei
CVPR 2017
Learning to learn from noisy web videos
Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei
CVPR 2017
SST: Single-Stream Temporal Action Proposals
Shyamal Buch, Victor Escorcia, Chuanqi Shen, Bernard Ghanem, Juan Carlos Niebles
CVPR 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross Girshick
CVPR 2017
A Hierarchical Approach for Generating Descriptive Image Paragraphs
Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei
CVPR 2017 (spotlight)
Unsupervised Learning of Long-Term Motion Dynamics for Videos
Zelun Luo, Boya Peng, De-An Huang, Alexandre Alahi, Li Fei-Fei
CVPR 2017
Jointly Learning Energy Expenditures and Activities using Egocentric Multimodal Signals
Katsuyuki Nakamura, Serena Yeung, Alexandre Alahi, Li Fei-Fei
CVPR 2017
Tracking Millions of Humans in Crowded Space
Alexandre Alahi, Vignesh Ramanathan, Li Fei-Fei
Group and Crowd Behavior for Computer Vision
Learning to Predict Human Behaviour in Crowded Scenes
Alexandre Alahi, Vignesh Ramanathan, Kratarth Goel, Alexandre Robicquet, Amir Abbas Sadeghian, Li Fei-Fei, Silvio Savarese
Group and Crowd Behavior for Computer Vision
Fine-Grained Car Detection for Visual Census Estimation
Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei
AAAI 2017
Scalable Annotation of Fine-Grained Objects Without Experts
Timnit Gebru, Jonathan Krause, Jia Deng, Li Fei-Fei
CHI 2017
Unsupervised Camera Localization in Crowded Spaces
Alexandre Alahi, Judson Wilson, Li Fei-Fei, 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, Li Fei-Fei, Ali Farhadi
ICRA 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 Ayman Shamma, Michael Bernstrein, Li Fei-Fei
IJCV 2017
A Glimpse Far into the Future: Understanding Long-term Crowd Worker Accuracy
Kenji Hata, Ranjay Krishna, Li Fei-Fei, Michael Bernstein
CSCW 2017
2016
Vision-Based Classification of Developmental Disorders Using Eye-Movements
Guido Pusiol, Andre Esteva, Scott S. Hall, Michael Frank, Arnold Milstein, Li Fei-Fei
MICCAI 2016
Visual Relationship Detection with Language Priors
Cewu Lu*, Ranjay Krishna*, Michael Bernstein, Li Fei-Fei
ECCV 2016 (oral)
Connectionist Temporal Modeling for Weakly Supervised Action Labeling
De-An Huang, Li Fei-Fei, Juan Carlos Niebles
ECCV 2016
Towards Viewpoint Invariant 3D Human Pose Estimation
Albert Haque, Boya Peng*, Zelun Luo*, Alexandre Alahi, Serena Yeung, Li Fei-Fei
ECCV 2016
Perceptual Losses for Real-time Style Transfer and Single Image Super-Resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei
ECCV 2016
What's the point: Semantic segmentation with point supervision
Amy Bearman, Olga Russakovsky, Vittorio Ferrari and Li Fei-Fei
ECCV 2016
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition
Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei
ECCV 2016
Visualizing and Understanding Recurrent Networks
Andrej Karpathy*, Justin Johnson*, Li Fei-Fei
ICLR 2016 Workshop
Recurrent Attention Models for Depth-Based Person Identification
Albert Haque, Alexandre Alahi, Li Fei-Fei
CVPR 2016
End-to-end Learning of Action Detection from Frame Glimpses in Videos
Serena Yeung, Olga Russakovsky, Greg Mori, Li Fei-Fei
CVPR 2016
Social LSTM: Human Trajectory Prediction in Crowded Spaces
Alexandre Alahi*, Kratarth Goel*, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, Silvio Savarese
CVPR 2016 (spotlight)
Detecting Events and Key Actors in Multi-person Videos
Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander Gorban, Kevin Murphy, Li Fei-Fei
CVPR 2016 (oral)
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
Justin Johnson*, Andrej Karpathy*, Li Fei-Fei
CVPR 2016 (oral)
Visual7W: Grounded Question Answering in Images
Yuke Zhu, Oliver Groth, Michael Bernstein, Li Fei-Fei
CVPR 2016
Human-object Interactions are More than the Sum of Their Parts
Christopher Baldassano, Diane M. Beck, Li Fei-Fei
Cerebral Cortex 2016
Typicality Sharpens Category Representations in Object-Selective Cortex
Marius Cătălin Iordan, Michelle R. Greene, Diane M. Beck, Li Fei-Fei
Neuroimage 2016
Embracing Error to Enable Rapid Crowdsourcing
Ranjay Krishna, Kenji Hata, Stephanie Chen, Joshua Kravitz, David A. Shamma, Li Fei-Fei, Michael S. Bernstein
CHI: ACM Conference on Human Factors in Computing Systems, 2016
Estimations of Object Frequency are Frequently Overestimated
Michelle R. Greene
Cognition 2016
Visual Scenes Are Categorized by Function
Michelle R. Greene, Christopher Baldassano, Diane M. Beck, Li Fei-Fei
Journal of Experimental Psychology: General 2016
Towards More Gender Diversity in CS through an Artificial Intelligence Summer Program for High School Girls
Marie E. Vachovsky, Grace Wu, Sorathan Chaturapruek, Olga Russakovsky, Rick Sommer, Li Fei-Fei
SIGCSE 2016
2015
What You See is What You Expect: Rapid Scene Understanding Benefits from Prior Experience
Michelle R. Greene, Abraham P. Botros, Diane M. Beck, Li Fei-Fei
Attention, Perception, & Psychophysics 2015
Generating Semantically Precise Scene Graphs from Textual Descriptions for Improved Image Retrieval
Sebastian Schuster, Ranjay Krishna, Angel Chang, Li Fei-Fei, Christopher D. Manning
Empirical Methods in Natural Language Processing (EMNLP) - Vision and Language Workshop 2015 (oral)
Locally-Optimized Inter-Subject Alignment of Functional Cortical Regions
Marius Cătălin Iordan, Armand Joulin, Diane M. Beck, Li Fei-Fei
Machine Learning and Interpretation in Neuroimaging (MLINI) Workshop, NIPS 2015
RGB-W: When Vision Meets Wireless
Alexandre Alahi, Albert Haque, Li Fei-Fei
ICCV 2015
Improving Image Classification with Location Context
Kevin Tang, Manohar Paluri, Li Fei-Fei, Rob Fergus, Lubomir Bourdev
ICCV 2015
Learning temporal embeddings for complex video analysis
Vignesh Ramanathan, Kevin Tang, Greg Mori and Li Fei-Fei
ICCV 2015
Love Thy Neighbors: Image Annotation by Exploiting Image Metadata
Justin Johnson*, Lamberto Ballan*, Li Fei-Fei
ICCV 2015
Image Retrieval using Scene Graphs
Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David Ayman Shamma, Michael Bernstein, Li Fei-Fei
CVPR 2015
Deep Visual-Semantic Alignments for Generating Image Descriptions
Andrej Karpathy, Li Fei-Fei
CVPR 2015 (oral)
Fine-Grained Recognition without Part Annotations
Jonathan Krause, Hailin Jin, Jianchao Yang, Li Fei-Fei
CVPR 2015
Best of both worlds: human-machine collaboration for dense object annotation
Olga Russakovsky, Li-Jia Li, Li Fei-Fei
CVPR 2015
Parcellating connectivity in spatial maps
Christopher Baldassano, Diane M. Beck, Li Fei-Fei
PeerJ 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 Bernstein, Alexander C. Berg, Li Fei-Fei
IJCV 2015
Basic Level Category Structure Emerges Gradually Across Human Ventral Visual Cortex
Marius Cătălin Iordan, Michelle R. Greene, Diane M. Beck, Li Fei-Fei
Journal of Cognitive Neuroscience 2015
2014
Deep Fragment Embeddings for Bidirectional Image-Sentence Mapping
Andrej Karpathy, Armand Joulin, Li Fei-Fei
NIPS 2014
Joint person naming in videos and coreference resolution in text
Vignesh Ramanathan, Armand Joulin, Percy Liang and Li Fei-Fei
ECCV 2014
Reasoning About Object Affordances in a Knowledge Base Representation
Yuke Zhu, Alireza Fathi, and Li Fei-Fei
ECCV 2014
Efficient Image and Video Co-localization with Frank-Wolfe Algorithm
Armand Joulin*, Kevin Tang*, Li Fei-Fei
ECCV 2014
Discovering the Signatures of Joint Attention in Child-Caregiver Interaction
Pusiol, G., Soriano, L., Fei-Fei, L., Frank, M. C.
CogSci 2014
Large-Scale Video Classification with Convolutional Neural Networks
Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul Sukthankar, Li Fei-Fei
CVPR 2014 (oral)
Socially-aware Large-scale Crowd Forecasting
Alexandre Alahi, Vignesh Ramanathan, and Li Fei-Fei
CVPR 2014 (oral)
Co-localization in Real-World Images
Kevin Tang, Armand Joulin, Li-Jia Li, Li Fei-Fei
CVPR 2014
Scalable Multi-Label Annotation
Jia Deng, Olga Russakovsky, Jonathan Krause, Michael Bernstein, Alexander C. Berg and Li Fei-Fei.
CHI 2014
Visual Categorization is Automatic and Obligatory: Evidence from a Stroop-like Paradigm
Michelle Greene, Li Fei-Fei
Journal of Vision, 2014
Learning Features and Parts for Fine-Grained Recognition
Jonathan Krause, Timnit Gebru, Jia Deng, Li-Jia Li, Li Fei-Fei
ICPR, 2014
2013
Free your Camera: 3D Indoor Scene Understanding from Arbitrary Camera Motion
Axel Furlan, Stephen Miller, Domenico Giorgio Sorrenti, Li Fei-Fei, Silvio Savarese
BMVC 2013
3D Object Representations for Fine-Grained Categorization
Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei
ICCV 2013, Workshop on 3D Representation and Recognition
Combining the Right Features for Complex Event Recognition
Kevin Tang, Bangpeng Yao, Li Fei-Fei, Daphne Koller
ICCV 2013
Video Event Understanding using Natural Language Descriptions
Vignesh Ramananthan, Percy Liang, and Li Fei-Fei
ICCV 2013
Detecting avocados to zucchinis: what have we done, and where are we going?
O. Russakovsky, Jia Deng, Zhiheng Huang, Alexander C. Berg and Li Fei-Fei
ICCV 2013
Discovering Object Functionality
B. Yao, J. Ma, and L. Fei-Fei
ICCV 2013
Object Bank: An Object-Level Image Representation for High-Level Visual Recognition
L.-J. Li and H. Su and Y. Lim and L. Fei-Fei
IJCV 2013
Fine-Grained Crowdsourcing for Fine-Grained Recognition
J. Deng, J. Krause, and L. Fei-Fei
CVPR 2013 (oral)
Social Role Discovery in Human Events
V. Ramanathan, B. Yao, and L. Fei-Fei
CVPR 2013 (oral)
Discriminative Segment Annotation in Weakly Labeled Video
K. Tang, R. Sukthankar, J. Yagnik, and L. Fei-Fei
CVPR 2013 (oral)
Good Exemplars of Natural Scene Categories Elicit Clearer Patterns than Bad Exemplars but not Greater BOLD Activity
A. Torralbo, D.B. Walther, B. Chai, E. Caddigan, L. Fei-Fei, and D.M. Beck
PLoS ONE. 2013 (Article)
Differential Connectivity Within the Parahippocampal Place Area
C. Baldassano, D.M. Beck, and L. Fei-Fei
NeuroImage 2013
Object Discovery in 3D Scenes via Shape Analysis
A. Karpathy, S. Miller, and L. Fei-Fei
ICRA 2013 (oral)
2012
Shifting Weights: Adapting Object Detectors from Image to Video
K. Tang, V. Ramanathan, L. Fei-Fei, and D. Koller
NIPS 2012
Discovering Voxel-Level Connectivity Between Cortical Regions
Christopher Baldassano, Marius Cătălin Iordan, Diane M. Beck, Li Fei-Fei
Machine Learning and Interpretation in Neuroimaging (MLINI) Workshop, NIPS 2012
Object-centric spatial pooling for image classification
O. Russakovsky, Y. Lin, K. Yu, and L. Fei-Fei
ECCV 2012
Action Recognition with Exemplar Based 2.5D Graph Matching
B. Yao and L. Fei-Fei
ECCV 2012 (oral)
Voxel-Level Functional Connectivity using Spatial Regularization
Christopher Baldassano, Marius Cătălin Iordan, Diane M. Beck, and Li Fei-Fei
NeuroImage 2012
Crowdsourcing Annotations for Visual Object Detection
H. Su, J. Deng, and L. Fei-Fei
AAAI Human Computation Workshop 2012
Web Image Prediction Using Multivariate Point Processes
G. Kim, L. Fei-Fei, and E. Xingi
KDD 2012
Efficient Euclidean Projections onto the Intersection of Norm Balls
H. Su*, A. Yu*, and L. Fei-Fei
ICML 2012
A Codebook-Free and Annotation-Free Approach for Fine-Grained Image Categorization
B. Yao, G. Bradski, and L. Fei-Fei
ICML 2012
Learning Latent Temporal Structure for Complex Event Detection
K. Tang, L. Fei-Fei, and D. Koller
CVPR 2012
Hedging Your Bets: Optimizing Accuracy-Specificity Trade-offs in Large Scale Visual Recognition
J. Deng, J. Krause, A. Berg, and L. Fei-Fei
CVPR 2012
Recognizing Human Actions in Still Images by Modeling the Mutual Context of Objects and Human Poses
B. Yao and L. Fei-Fei
PAMI 2012
2011
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition
J. Deng, S. Satheesh, A. C. Berg, and L. Fei-Fei
NIPS 2011
Large-Scale Category Structure Aware Image Categorization
B. Zhao, L. Fei-Fei and E. Xing
NIPS 2011
Human Action Recognition by Learning Bases of Action Attributes and Parts
B. Yao, X. Jiang, A. Khosla, A.L. Lin, L.J. Guibas, and L. Fei-Fei
ICCV 2011
Distributed cosegmentation vis submodular optimization on anisotropic diffusion
G. Kim, E.P. Xing, L. Fei-Fei, and T. Kanade
ICCV 2011
ReV ReVision: Automated Classification, Analysis and Redesign of Chart Imagesision: Automated Classification, Analysis and Redesign of Chart Images
M. Savva, N. Kong, A. Chhajta, L. Fei-Fei, M. Agrawala, and J. Heer
UIST 2011
Classifying Actions and Measuring Action Similarity by Modeling the Mutual Context of Objects and Human Poses
B. Yao, A. Khosla, and L. Fei-Fei
ICML 2011
Simple line drawings suffice for functional MRI decoding of natural scene categories
D. B. Walther, B. Chai, E. Caddigan, D. M. Beck and L. Fei-Fei
PNAS 2011
Hierarchical Semantic Indexing for Large Scale Image Retrieval
J. Deng, A. Berg, and L. Fei-Fei
CVPR 2011
Combining Randomization and Discrimination for Fine-Grained Image Categorization
B. Yao*, A. Khosla*, and L. Fei-Fei
CVPR 2011
Online Detection of Unusual Events in Videos via Dynamic Sparse Coding
B. Zhao, L. Fei-Fei, and E.P. Xing
CVPR 2011
2010
Object Bank: A High-Level Image Representation for Scene Classification and Semantic Feature Sparsification
L.-J. Li*, H. Su*, E.P. Xing and L. Fei-Fei
NIPS 2010
Large Margin Learning of Upstream Scene Understanding Models
J. Zhu, L.-J. Li, L. Fei-Fei and E.P. Xing
NIPS 2010
What does classifying more than 10,000 image categories tell us?
J. Deng, A. Berg, K. Li and L. Fei-Fei
ECCV 2010
Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification
J. C. Niebles, C.-W. Chen and L. Fei-Fei
ECCV 2010
Image Segmentation with Topic Random Fields
B. Zhao, L. Fei-Fei and E. P. Xing
ECCV 2010
Objects as Attributes for Scene Classification
L.J. Li*, H. Su*, Y. Lim and L. Fei-Fei
ECCV 2010 workshop on Parts and Attributes
Attribute learning in large-scale datasets
O. Russakovsky and L. Fei-Fei
Parts and Attributes Workshop at ECCV 2010
Learning object categories from Internet image searches
R. Fergus, L. Fei-Fei, P. Perona and A. Zisserman
Proc. Of IEEE, Special Issue on Internet Vision 2010
What, Where and Who? Telling the Story of an Image by Activity Classification, Scene Recognition and Object Categorization
L. Fei-Fei and L.-J. Li
Book chapter in "Studies in Computational Intelligence- Computer Vision". Volume 285/2010
Multi-view Object Categorization and Pose Estimation
S. Savarese, and L. Fei-Fei
Book chapter in "Studies in Computational Intelligence- Computer Vision". Volume 285/2010
To err is human: investigating neural function by correlating error patterns with human behavior
D. B. Walther, D. M. Beck, and L. Fei-Fei
MIT Press, Cambridge, Massachusetts. 2010
Grouplet: a Structured Image Representation for Recognizing Human and Object Interactions
B. Yao and L. Fei-Fei
CVPR 2010 (oral)
Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities
B. Yao and L. Fei-Fei
CVPR 2010 (oral)
Building and Using a Semantivisual Image Hierarchy
Li-Jia Li*, Chong Wang*, Yongwhan Lim, David Blei and Li Fei-Fei
CVPR 2010
Efficient Extraction of Human Motion Volumes by Tracking
J. C. Niebles, B. Han and L. Fei-Fei
CVPR 2010
Connecting Modalities: Semi-supervised Segmentation and Annotation of Images Using Unaligned Text Corpora
R. Socher and L. Fei-Fei
CVPR 2010
2009
Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions
B. Yao, D.B. Walther, D.M. Beck*, L. Fei-Fei*
NIPS 2009
Exploring Functional Connectivity of the Human Brain using Multivariate Information Analysis
B. Chai†, D.B. Walther†, D.M. Beck*, L. Fei-Fei*
NIPS 2009
OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning
L.-J. Li and L. Fei-Fei
IJCV 2009
Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories
H. Su*, M. Sun*, L. Fei-Fei and S. Savarese
ICCV 2009
Neural mechanisms of rapid natural scene categorization in human visual cortex
Peelen, Marius V. and Fei-Fei, Li and Kastner, Sabine
Nature 2009
Natural scene categories revealed in distributed patterns of activity in the human brain
D.B. Walther, E. Caddigan, L. Fei-Fei*, D.M. Beck*
Journal of Neuroscience, 2009
Towards Total Scene Understanding:Classification, Annotation and Segmentation in an Automatic Framework
L.-J. Li, R. Socher and L. Fei-Fei
CVPR 2009 (oral)
Simultaneous Image Classification and Annotation
Chong Wang, David Blei and L. Fei-Fei
CVPR 2009
ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li and L. Fei-Fei
CVPR 2009
A Multi-View Probabilistic Model for 3D Object Classes
*M. Sun, *H. Su, S. Savarese and L. Fei-Fei
CVPR 2009
2008
Extracting Moving People from Internet Videos
J.C. Niebles, B. Han, A. Ferencz and L. Fei-Fei
ECCV 2008
Towards scalable dataset construction: An active learning approach
B.Collins, J. Deng, L. Kai and L. Fei-Fei
ECCV 2008
View synthesis for recognizing unseen poses of object classes.
S.Savarese and L. Fei-Fei
ECCV 2008
Unsupervised learning of human action categories using spatial-temporal words
J.C. Niebles, H. Wang and L. Fei-Fei.
IJCV 2008
Spatial-temporal correlations for unsupervised action classification
S. Savarese, A. Del Pozo, J.C. Niebles and L. Fei-Fei.
IEEE Workshop on Motion and Video Computing, 2008
2007
3D generic object categorization, localization and pose estimation
S. Savarese and L. Fei-Fei
ICCV 2007
What, where and who? Classifying event by scene and object recognition
L.-J. Li and L. Fei-Fei.
ICCV 2007
Spatially coherent latent topic model for concurrent object segmentation and classification
L. Cao and L. Fei-Fei.
ICCV 2007
Task-set switching with natural scenes: Measuring the cost of deploying top-down attention.
D. Walther and L. Fei-Fei.
Journal of Vision 2007
OPTIMOL: automatic Object Picture collecTion via Incremental MOdel Learning.
L.-J. Li, G. Wang and L. Fei-Fei.
CVPR 2007
A hierarchical model model of shape and appearance for human action classification.
J. C. Niebles and L. Fei-Fei.
CVPR 2007
Learning generative visual models for 101 object categories.
L. Fei-Fei, R. Fergus and P. Perona.
Computer Vision and Image Understanding, 2007
What do we perceive in a glance of a real-world scene?
Fei-Fei, L., Iyer, A., Koch, C., Perona, P.
Journal of Vision, 2007
2006
Unsupervised learning of human action categories using spatial-temporal words
J.C. Niebles, H. Wang, L. Fei-Fei.
BMVC 2006
Knowledge transfer in learning to recognize visual object classes.
L. Fei-Fei.
ICDL 2006
Using dependent regions for object categorization in a generative framework.
G. Wang, Y. Zhang, and L. Fei-Fei.
CVPR 2006
One-Shot learning of object categories
L. Fei-Fei, R. Fergus and P. Perona
PAMI 2006
2005
Binding is local problem for natural objects and scenes.
R. VanRullen, L. Reddy and L. Fei-Fei.
Vision Research, 2005
Why does natural scene categorization require little attention? Exploring attentional requirements for natural and synthetic stimuli.
L. Fei-Fei, R. VanRuellen, C. Koch and P. Perona.
Vision Cognition, 2005
Learning Object Categories from Google's Image Search
R. Fergus, L. Fei-Fei, P. Perona and A. Zisserman
ICCV 2005
A Bayesian Hierarchical Model for Learning Natural Scene Categories
L. Fei-Fei and P. Perona
CVPR 2005
2004 and before
Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories
L. Fei-Fei, R. Fergus, and P. Perona.
CVPR 2004 Workshop on Generative-Model Based Vision
A Bayesian approach to
unsupervised One-Shot learning of Object categories
L. Fei-Fei, R. Fergus, and P. Perona
ICCV 2003
What do reflections tell us about the shape of a mirror?
S. Savarese, L. Fei-Fei, and P. Perona
Applied Perception in Graphics and Visualization 2004
Rapid natural scene categorization in the near absence of attention
F.F. Li, R. VanRullen, C. Koch and P. Perona
Proc. Natl. Acad. Sci. 99
Reconstruction of natural scenes from ensemble responses in the LGN.
G.B. Stanley, F.F. Li, and Y. Dan
Journal of Neuroscience, 1999
Dissertations
Fine-Grained Recognition: Data, Recognition, and Application.
Jonathan Krause
Stanford University. PhD Thesis. 2016
Connecting Images and Natural Language.
Andrej Karpathy
Stanford University. PhD Thesis. 2016
Human-Centric Video Understanding with Weak Supervision.
Vignesh Ramanathan
Stanford University. PhD Thesis. 2016
Uncovering the Neural Representation of Multiple Dimensions of Object Categorization in Human Visual Cortex.
Marius Cătălin Iordan
Stanford University. PhD Thesis. 2016
Visual Genome: Crowdsourced Visual Knowledge Representations.
Ranjay Krishna
Stanford University. Masters Thesis. 2016 [Christofer Stephenson Memorial Award]
Scaling up object detection.
Olga Russakovsky
Stanford University. PhD Thesis. 2015
Visual scene perception in the human brain: connections to memory, categorization, and social cognition.
Chris Baldassano
Stanford University. PhD Thesis. 2015
Visual learning with weakly labeled video.
Kevin Tang
Stanford University. PhD Thesis. 2015
Understanding human actions in still images.
Bangpeng Yao
Stanford University. PhD Thesis. 2013
Large scale visual recognition.
Jia Deng
Princeton University. PhD Thesis. 2012
Semantic image understanding: from the web, in large scale, with real-world challenging data.
Jia Li
Stanford University. PhD Thesis. 2011
Extracting moving people and categorizing their activities in video.
Juan Carlos Niebles
Princeton University. PhD Thesis. 2011
Visual recognition: computational models and human psychophysics.
L. Fei-Fei
California Insitute of Technology. PhD Thesis. 2005
