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20152020
most citedNAS-Bench-101: Towards Reproducible Neural Architecture Search

252 citations · 611 across the 14 of their papers we have counts for

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12 papers · 1 filter

cs.CV2019

The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction

Junwei Liang, Lu Jiang, Kevin Murphy +2

This paper studies the problem of predicting the distribution over multiple possible future paths of people as they move through various visual scenes. We make two main contributio…

cs.CV2019

Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction

Steven Hickson, Karthik Raveendran, Alireza Fathi +2

We propose 4 insights that help to significantly improve the performance of deep learning models that predict surface normals and semantic labels from a single RGB image. These ins…

cs.CV2019

Unsupervised Learning of Object Structure and Dynamics from Videos

Matthias Minderer, Chen Sun, Ruben Villegas +3

Extracting and predicting object structure and dynamics from videos without supervision is a major challenge in machine learning. To address this challenge, we adopt a keypoint-bas…

cs.CV20197 cited

Relational Action Forecasting

Chen Sun, Abhinav Shrivastava, Carl Vondrick +3

This paper focuses on multi-person action forecasting in videos. More precisely, given a history of H previous frames, the goal is to detect actors and to predict their future acti…

cs.CV2019

VideoBERT: A Joint Model for Video and Language Representation Learning

Chen Sun, Austin Myers, Carl Vondrick +2

Self-supervised learning has become increasingly important to leverage the abundance of unlabeled data available on platforms like YouTube. Whereas most existing approaches learn l…

cs.CV201925 cited

Unsupervised Discovery of Parts, Structure, and Dynamics

Zhenjia Xu, Zhijian Liu, Chen Sun +4

Humans easily recognize object parts and their hierarchical structure by watching how they move; they can then predict how each part moves in the future. In this paper, we propose…