11 citations · 11 across the 1 of their papers we have counts for
7 papers
GRIT: General Robust Image Task Benchmark
Tanmay Gupta, Ryan Marten, Aniruddha Kembhavi +1
Computer vision models excel at making predictions when the test distribution closely resembles the training distribution. Such models have yet to match the ability of biological v…
Visual Semantic Role Labeling for Video Understanding
Arka Sadhu, Tanmay Gupta, Mark Yatskar +2
We propose a new framework for understanding and representing related salient events in a video using visual semantic role labeling. We represent videos as a set of related events,…
Learning Curves for Analysis of Deep Networks
Derek Hoiem, Tanmay Gupta, Zhizhong Li +1
Learning curves model a classifier's test error as a function of the number of training samples. Prior works show that learning curves can be used to select model parameters and ex…
Contrastive Learning for Weakly Supervised Phrase Grounding
Tanmay Gupta, Arash Vahdat, Gal Chechik +3
Phrase grounding, the problem of associating image regions to caption words, is a crucial component of vision-language tasks. We show that phrase grounding can be learned by optimi…
ViCo: Word Embeddings from Visual Co-occurrences
Tanmay Gupta, Alexander Schwing, Derek Hoiem
We propose to learn word embeddings from visual co-occurrences. Two words co-occur visually if both words apply to the same image or image region. Specifically, we extract four typ…
No-Frills Human-Object Interaction Detection: Factorization, Layout Encodings, and Training Techniques
Tanmay Gupta, Alexander Schwing, Derek Hoiem
We show that for human-object interaction detection a relatively simple factorized model with appearance and layout encodings constructed from pre-trained object detectors outperfo…