121 citations · 180 across the 3 of their papers we have counts for
6 papers
Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks
Tanmay Gupta, Kevin Shih, Saurabh Singh +1
An important goal of computer vision is to build systems that learn visual representations over time that can be applied to many tasks. In this paper, we investigate a vision-langu…
No Fuss Distance Metric Learning using Proxies
Yair Movshovitz-Attias, Alexander Toshev, Thomas K. Leung +2
We address the problem of distance metric learning (DML), defined as learning a distance consistent with a notion of semantic similarity. Traditionally, for this problem supervisio…
Swapout: Learning an ensemble of deep architectures
Saurabh Singh, Derek Hoiem, David Forsyth
We describe Swapout, a new stochastic training method, that outperforms ResNets of identical network structure yielding impressive results on CIFAR-10 and CIFAR-100. Swapout sample…
Where To Look: Focus Regions for Visual Question Answering
Kevin J. Shih, Saurabh Singh, Derek Hoiem
We present a method that learns to answer visual questions by selecting image regions relevant to the text-based query. Our method exhibits significant improvements in answering qu…
Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization
Kevin J. Shih, Arun Mallya, Saurabh Singh +1
We present a simple deep learning framework to simultaneously predict keypoint locations and their respective visibilities and use those to achieve state-of-the-art performance for…
Unsupervised Discovery of Mid-Level Discriminative Patches
Saurabh Singh, Abhinav Gupta, Alexei A. Efros
The goal of this paper is to discover a set of discriminative patches which can serve as a fully unsupervised mid-level visual representation. The desired patches need to satisfy t…