Fei-Fei, Li F

8 publications

NeurIPS 2020 Learning Physical Graph Representations from Visual Scenes Daniel Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li F Fei-Fei, Jiajun Wu, Josh Tenenbaum, Daniel L Yamins

NeurIPS 2019 HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models Sharon Zhou, Mitchell Gordon, Ranjay Krishna, Austin Narcomey, Li F Fei-Fei, Michael Bernstein

NeurIPS 2019 Regression Planning Networks Danfei Xu, Roberto Martín-Martín, De-An Huang, Yuke Zhu, Silvio Savarese, Li F Fei-Fei

NeurIPS 2018 Flexible Neural Representation for Physics Prediction Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li F Fei-Fei, Josh Tenenbaum, Daniel L Yamins

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

NeurIPS 2018 Learning to Play with Intrinsically-Motivated, Self-Aware Agents Nick Haber, Damian Mrowca, Stephanie Wang, Li F Fei-Fei, Daniel L Yamins

NeurIPS 2017 Label Efficient Learning of Transferable Representations Acrosss Domains and Tasks Zelun Luo, Yuliang Zou, Judy Hoffman, Li F Fei-Fei

NeurIPS 2014 Deep Fragment Embeddings for Bidirectional Image Sentence Mapping Andrej Karpathy, Armand Joulin, Li F Fei-Fei