activity
20192023
most citedRevisiting CycleGAN for semi-supervised segmentation

28 citations · 44 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 2 cited

Building Scalable Video Understanding Benchmarks through Sports

Aniket Agarwal, Alex Zhang, Karthik Narasimhan +3

Existing benchmarks for evaluating long video understanding falls short on two critical aspects, either lacking in scale or quality of annotations. These limitations arise from the…

cs.CV2021★ 1 cited

RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition

Jun Chen, Aniket Agarwal, Sherif Abdelkarim +2

The visual relationship recognition (VRR) task aims at understanding the pairwise visual relationships between interacting objects in an image. These relationships typically have a…

cs.CV2020★ 13 cited

Visual Relationship Detection using Scene Graphs: A Survey

Aniket Agarwal, Ayush Mangal, Vipul

Understanding a scene by decoding the visual relationships depicted in an image has been a long studied problem. While the recent advances in deep learning and the usage of deep ne…

cs.CV2020

Exploring Long Tail Visual Relationship Recognition with Large Vocabulary

Sherif Abdelkarim, Aniket Agarwal, Panos Achlioptas +5

Several approaches have been proposed in recent literature to alleviate the long-tail problem, mainly in object classification tasks. In this paper, we make the first large-scale s…

cs.CV2019★ 28 cited

Revisiting CycleGAN for semi-supervised segmentation

Arnab Kumar Mondal, Aniket Agarwal, Jose Dolz +1

In this work, we study the problem of training deep networks for semantic image segmentation using only a fraction of annotated images, which may significantly reduce human annotat…