Fei-Fei Li

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

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

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

Comments Technical report of the SURREAL system. See more details at https://surreal.stanford.edu

Causal Induction from Visual Observations for Goal Directed Tasks

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

Comments 13 pages, 6 figures

Regression Planning Networks

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

Comments Accepted at NeurIPS 2019

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

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

Comments arXiv admin note: substantial text overlap with arXiv:1810.10191

Peeking into the Future: Predicting Future Person Activities and Locations in Videos

Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander Hauptmann, Li Fei-Fei

Comments In CVPR 2019. Code, models and more results are available at: https://next.cs.cmu.edu/

D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation

Chien-Yi Chang, De-An Huang, Yanan Sui, Li Fei-Fei, Juan Carlos Niebles

Comments To appear in CVPR 2019

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation

Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan Yuille, Li Fei-Fei

Comments To appear in CVPR 2019 as oral. Code for Auto-DeepLab released at https://github.com/tensorflow/models/tree/master/research/deeplab

Information Maximizing Visual Question Generation

Ranjay Krishna, Michael Bernstein, Li Fei-Fei

Comments CVPR 2019

Journal ref IEEE Conference on Computer Vision and Pattern Recognition, 2019

Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks

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

Comments CVPR 2019 paper with supplementary material

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

Michelle A. Lee, Yuke Zhu, Krishnan Srinivasan, Parth Shah, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg

Comments ICRA 2019

Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration

De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles

Comments CVPR 2019

Audio-Linguistic Embeddings for Spoken Sentences

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

Comments International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2019

DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

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

Composing Text and Image for Image Retrieval - An Empirical Odyssey

Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays

Vision-Based Gait Analysis for Senior Care

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

Comments Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216

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

Comments Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216

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

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

Comments Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216

Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference

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

A Fully Private Pipeline for Deep Learning on Electronic Health Records

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

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

Comments Published at the Conference on Robot Learning (CoRL) 2018

Learning to Play with Intrinsically-Motivated Self-Aware Agents

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

Comments In NIPS 2018. 10 pages, 5 figures

Flexible Neural Representation for Physics Prediction

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

Comments 23 pages, 20 figures

Learning to Decompose and Disentangle Representations for Video Prediction

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

MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels

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

Journal ref published at ICML 2018

Graph Distillation for Action Detection with Privileged Modalities

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

Comments ECCV 2018

Progressive Neural Architecture Search

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

Comments To appear in ECCV 2018 as oral. The code and checkpoint for PNASNet-5 trained on ImageNet (both Mobile and Large) can now be downloaded from https://github.com/tensorflow/models/tree/master/research/slim#Pretrained. Also see https://github.com/chenxi116/PNASNet.TF for refactored and simplified TensorFlow code; see https://github.com/chenxi116/PNASNet.pytorch for exact conversion to PyTorch

HiDDeN: Hiding Data With Deep Networks

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

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

Comments arXiv admin note: text overlap with arXiv:1806.02031 by other authors

Topological light-trapping on a dislocation

Fei-Fei Li, Hai-Xiao Wang, Zhan Xiong, Qun Lou, Ping Chen, Rui-Xin Wu, Yin Poo, Jian-Hua Jiang, Sajeev John

Journal ref Nature Communications 9, 2462 (2018)