activity
20242026
collaborators
Showing cs.CVShow all

9 papers · 1 filter

cs.CV2026

AttriBE: Quantifying Attribute Expressivity in Body Embeddings for Recognition and Identification

Basudha Pal, Siyuan Huang, Anirudh Nanduri +2

Person re-identification (ReID) systems that match individuals across images or video frames are essential in many real-world applications. However, existing methods are often infl…

cs.CV2025

TOGA: Temporally Grounded Open-Ended Video QA with Weak Supervision

Ayush Gupta, Anirban Roy, Rama Chellappa +3

We address the problem of video question answering (video QA) with temporal grounding in a weakly supervised setup, without any temporal annotations. Given a video and a question,…

cs.CV2025

Cross-Spectral Body Recognition with Side Information Embedding: Benchmarks on LLCM and Analyzing Range-Induced Occlusions on IJB-MDF

Anirudh Nanduri, Siyuan Huang, Rama Chellappa

Vision Transformers (ViTs) have demonstrated impressive performance across a wide range of biometric tasks, including face and body recognition. In this work, we adapt a ViT model…

cs.CV2025

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning

Yijun Yang, Zhao-Yang Wang, Qiuping Liu +8

Providing effective treatment and making informed clinical decisions are essential goals of modern medicine and clinical care. We are interested in simulating disease dynamics for…

cs.CV2025

Multi-Domain Biometric Recognition using Body Embeddings

Anirudh Nanduri, Siyuan Huang, Rama Chellappa

Biometric recognition becomes increasingly challenging as we move away from the visible spectrum to infrared imagery, where domain discrepancies significantly impact identification…

cs.CV2025

A Quantitative Evaluation of the Expressivity of BMI, Pose and Gender in Body Embeddings for Recognition and Identification

Basudha Pal, Siyuan Huang, Rama Chellappa

Person Re-identification (ReID) systems that match individuals across images or video frames are essential in many real-world applications. However, existing methods are often infl…