activity
20182026
most citedEfficient Video Instance Segmentation via Tracklet Query and Proposal

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

collaborators

6 papers

cs.CV2026

DesignSense: A Human Preference Dataset and Reward Modeling Framework for Graphic Layout Generation

Varun Gopal, Rishabh Jain, Aradhya Mathur +6

Graphic layouts serve as an important and engaging medium for visual communication across different channels. While recent layout generation models have demonstrated impressive cap…

cs.CV2025

Unsupervised Memorability Modeling from Tip-of-the-Tongue Retrieval Queries

Sree Bhattacharyya, Yaman Kumar Singla, Sudhir Yarram +3

Visual content memorability has intrigued the scientific community for decades, with applications ranging widely, from understanding nuanced aspects of human memory to enhancing co…

cs.CV2024

Forecasting Future Videos from Novel Views via Disentangled 3D Scene Representation

Sudhir Yarram, Junsong Yuan

Video extrapolation in space and time (VEST) enables viewers to forecast a 3D scene into the future and view it from novel viewpoints. Recent methods propose to learn an entangled…

cs.CV2022

Deformable VisTR: Spatio temporal deformable attention for video instance segmentation

Sudhir Yarram, Jialian Wu, Pan Ji +2

Video instance segmentation (VIS) task requires classifying, segmenting, and tracking object instances over all frames in a video clip. Recently, VisTR has been proposed as end-to-…

cs.CV2022★ 4 cited

Efficient Video Instance Segmentation via Tracklet Query and Proposal

Jialian Wu, Sudhir Yarram, Hui Liang +4

Video Instance Segmentation (VIS) aims to simultaneously classify, segment, and track multiple object instances in videos. Recent clip-level VIS takes a short video clip as input e…

cs.CV2018★ 1 cited

City-Scale Road Audit System using Deep Learning

Sudhir Yarram, Girish Varma, C. V. Jawahar

Road networks in cities are massive and is a critical component of mobility. Fast response to defects, that can occur not only due to regular wear and tear but also because of extr…