Fei-Fei Li

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

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

Comments 10 pages, 11 figures, accepted CSCW 2017

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

Comments ECCV 2016, data is released

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

Visual Relationship Detection with Language Priors

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

Comments ECCV 2016 Oral

Connectionist Temporal Modeling for Weakly Supervised Action Labeling

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

Comments To appear in ECCV 2016

Towards Viewpoint Invariant 3D Human Pose Estimation

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

Comments European Conference on Computer Vision (ECCV) 2016

What's the Point: Semantic Segmentation with Point Supervision

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

Comments ECCV (2016) submission

Locally-Optimized Inter-Subject Alignment of Functional Cortical Regions

Marius Cătălin Iordan, Armand Joulin, Diane M. Beck, Li Fei-Fei

Comments Presented at MLINI-2015 workshop, 2015 (arXiv:cs/0101200)

Visual7W: Grounded Question Answering in Images

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

Comments CVPR 2016

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

Justin Johnson, Alexandre Alahi, Li Fei-Fei

Detecting events and key actors in multi-person videos

Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander Gorban, Kevin Murphy, Li Fei-Fei

Comments Accepted for publication in CVPR'16

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

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

Comments 44 pages, 37 figures

Embracing Error to Enable Rapid Crowdsourcing

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

Comments 10 pages, 7 figures, CHI '16, CHI: ACM Conference on Human Factors in Computing Systems (2016)

DenseCap: Fully Convolutional Localization Networks for Dense Captioning

Justin Johnson, Andrej Karpathy, Li Fei-Fei

Visualizing and Understanding Recurrent Networks

Andrej Karpathy, Justin Johnson, Li Fei-Fei

Comments changing style, adding references, minor changes to text

Building a Large-scale Multimodal Knowledge Base System for Answering Visual Queries

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

Love Thy Neighbors: Image Annotation by Exploiting Image Metadata

Justin Johnson, Lamberto Ballan, Fei-Fei Li

Comments Accepted to ICCV 2015

SentenceRacer: A Game with a Purpose for Image Sentence Annotation

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

Comments 2 pages, 2 figures, 2 tables, potential CSCW poster submission

Improving Image Classification with Location Context

Kevin Tang, Manohar Paluri, Li Fei-Fei, Rob Fergus, Lubomir Bourdev

Learning Temporal Embeddings for Complex Video Analysis

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

Deep Visual-Semantic Alignments for Generating Image Descriptions

Andrej Karpathy, Li Fei-Fei

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

Comments 43 pages, 16 figures. v3 includes additional comparisons with PASCAL VOC (per-category comparisons in Table 3, distribution of localization difficulty in Fig 16), a list of queries used for obtaining object detection images (Appendix C), and some additional references

Affordances Provide a Fundamental Categorization Principle for Visual Scenes

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

Visual Noise from Natural Scene Statistics Reveals Human Scene Category Representations

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

VideoSET: Video Summary Evaluation through Text

Serena Yeung, Alireza Fathi, Li Fei-Fei

Deep Fragment Embeddings for Bidirectional Image Sentence Mapping

Andrej Karpathy, Armand Joulin, Li Fei-Fei

Efficient Euclidean Projections onto the Intersection of Norm Balls

Adams Wei Yu, Hao Su, Li Fei-Fei

Comments ICML2012