Fei-Fei Li

Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning

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

Comments 17 pages, 10 figures

Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering

Siddharth Karamcheti, Ranjay Krishna, Li Fei-Fei, Christopher D. Manning

Comments Accepted at ACL-IJCNLP 2021. 17 pages, 16 Figures

Discovering Generalizable Skills via Automated Generation of Diverse Tasks

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

Comments RSS 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

Comments ICRA 2021

Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

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

Comments RSS 2020; First two authors contributed equally

Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction

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

Comments Equal advising and contribution for last two authors

SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies

Linxi Fan, Guanzhi Wang, De-An Huang, Zhiding Yu, Li Fei-Fei, Yuke Zhu, Anima Anandkumar

Comments ICML 2021. Website: https://linxifan.github.io/secant-site/

Metadata Normalization

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

Comments Accepted to CVPR 2021. Project page: https://mml.stanford.edu/MDN/

Adaptive Procedural Task Generation for Hard-Exploration Problems

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

Comments ICLR 2021

Experimental discovery of bulk-disclination correspondence

Yang Liu, Shuwai Leung, Fei-Fei Li, Zhi-Kang Lin, Xiufeng Tao, Yin Poo, Jian-Hua Jiang

Comments 4 figures

Journal ref Nature 589, 381-385 (2021)

Learning Multi-Arm Manipulation Through Collaborative Teleoperation

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

Comments First two authors contributed equally

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

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

Representation Learning with Statistical Independence to Mitigate Bias

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

Comments WACV 2021

Conceptual Metaphors Impact Perceptions of Human-AI Collaboration

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

Comments CSCW 2020

Journal ref PACM HCI Volume 4 CSCW 2, 2020

Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson's Disease Motor Severity

Mandy Lu, Kathleen Poston, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Juan Carlos Niebles, Ehsan Adeli

Comments Accepted as a conference paper at MICCAI (Medical Image Computing and Computer Assisted Intervention), Lima, Peru, October 2020. 11 pages, LaTeX

Learning Physical Graph Representations from Visual Scenes

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

Comments 23 pages; corrected affiliations and acknowledgments

DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs

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

Comments IJCAI 2020

Procedure Planning in Instructional Videos

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

Comments 14 pages, 7 figures

Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation

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

Comments CoRL 2019

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

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

Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy

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

Comments Accepted to FAT* 2020

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

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

Deep Bayesian Active Learning for Multiple Correct Outputs

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

Comments 18 pages, 9 figures

Learning Predicates as Functions to Enable Few-shot Scene Graph Prediction

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

Comments 14 pages, 10 figures, preprint

Scene Graph Prediction with Limited Labels

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

Comments ICCV 2019, 10 pages, 9 figures

Journal ref International Conference on Computer Vision, 2019

Motion Reasoning for Goal-Based Imitation Learning

De-An Huang, Yu-Wei Chao, Chris Paxton, Xinke Deng, Li Fei-Fei, Juan Carlos Niebles, Animesh Garg, Dieter Fox

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

Comments Published at IROS 2019

Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning

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

Comments IROS 2019

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

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

Comments https://hype.stanford.edu

KETO: Learning Keypoint Representations for Tool Manipulation

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