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T. Sethuraman

4 papers hereh-index 347 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedCan Self Reported Symptoms Predict Daily COVID-19 Cases?

1 citations · 1 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CV2025

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory

Sethuraman TV, Savya Khosla, Vignesh Srinivasakumar +5

Dense video prediction tasks, such as object tracking and semantic segmentation, require video encoders that generate temporally consistent, spatially dense features for every fram…

cs.CV2025

REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders

Savya Khosla, Sethuraman TV, Barnett Lee +2

We introduce the Region Encoder Network (REN), a fast and effective model for generating region-based image representations using point prompts. Recent methods combine class-agnost…

cs.LG2021★ 1 cited

Can Self Reported Symptoms Predict Daily COVID-19 Cases?

Parth Patwa, Viswanatha Reddy, Rohan Sukumaran +6

The COVID-19 pandemic has impacted lives and economies across the globe, leading to many deaths. While vaccination is an important intervention, its roll-out is slow and unequal ac…

cs.LG2021

COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms

Rohan Sukumaran, Parth Patwa, T V Sethuraman +9

It is crucial for policymakers to understand the community prevalence of COVID-19 so combative resources can be effectively allocated and prioritized during the COVID-19 pandemic.…

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