activity
20152022
most citedRobust Adversarial Reinforcement Learning

384 citations · 1.8k across the 38 of their papers we have counts for

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Showing 2016Show all

5 papers · 1 filter

cs.CV20164 cited

An Uncertain Future: Forecasting from Static Images using Variational Autoencoders

Jacob Walker, Carl Doersch, Abhinav Gupta +1

In a given scene, humans can often easily predict a set of immediate future events that might happen. However, generalized pixel-level anticipation in computer vision systems is di…

cs.CV2016

Training Region-based Object Detectors with Online Hard Example Mining

Abhinav Shrivastava, Abhinav Gupta, Ross Girshick

The field of object detection has made significant advances riding on the wave of region-based ConvNets, but their training procedure still includes many heuristics and hyperparame…

cs.CV2016

Cross-stitch Networks for Multi-task Learning

Ishan Misra, Abhinav Shrivastava, Abhinav Gupta +1

Multi-task learning in Convolutional Networks has displayed remarkable success in the field of recognition. This success can be largely attributed to learning shared representation…

cs.CV2016

Marr Revisited: 2D-3D Alignment via Surface Normal Prediction

Aayush Bansal, Bryan Russell, Abhinav Gupta

We introduce an approach that leverages surface normal predictions, along with appearance cues, to retrieve 3D models for objects depicted in 2D still images from a large CAD objec…

cs.CV2016

"What happens if..." Learning to Predict the Effect of Forces in Images

Roozbeh Mottaghi, Mohammad Rastegari, Abhinav Gupta +1

What happens if one pushes a cup sitting on a table toward the edge of the table? How about pushing a desk against a wall? In this paper, we study the problem of understanding the…