activity
20162026
most citedRevisiting Unreasonable Effectiveness of Data in Deep Learning Era

304 citations · 704 across the 20 of their papers we have counts for

collaborators
Showing 2020Show all

7 papers · 1 filter

cs.CV2020211 cited

TNT: Target-driveN Trajectory Prediction

Hang Zhao, Jiyang Gao, Tian Lan +9

Predicting the future behavior of moving agents is essential for real world applications. It is challenging as the intent of the agent and the corresponding behavior is unknown and…

cs.CV202010 cited

The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020)

Samuel Albanie, Yang Liu, Arsha Nagrani +18

We present a new video understanding pentathlon challenge, an open competition held in conjunction with the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020.…

cs.CV2020

Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos

Anurag Arnab, Chen Sun, Arsha Nagrani +1

Despite the recent advances in video classification, progress in spatio-temporal action recognition has lagged behind. A major contributing factor has been the prohibitive cost of…

cs.CV2020

Multi-modal Transformer for Video Retrieval

Valentin Gabeur, Chen Sun, Karteek Alahari +1

The task of retrieving video content relevant to natural language queries plays a critical role in effectively handling internet-scale datasets. Most of the existing methods for th…

cs.CV202044 cited

VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation

Jiyang Gao, Chen Sun, Hang Zhao +4

Behavior prediction in dynamic, multi-agent systems is an important problem in the context of self-driving cars, due to the complex representations and interactions of road compone…

cs.CV2020

What Makes for Good Views for Contrastive Learning?

Yonglong Tian, Chen Sun, Ben Poole +3

Contrastive learning between multiple views of the data has recently achieved state of the art performance in the field of self-supervised representation learning. Despite its succ…