collaborators

10 papers

cs.CV2026

Pulling The REINS: Training-Free Safety Alignment of Video Diffusion Models via Representation Steering

Rohit Kundu, Arindam Dutta, Sarosij Bose +2

Open-weight video diffusion models can generate photorealistic unsafe content, from violence to misinformation, yet existing defenses either require expensive safety fine-tuning th…

cs.CV2026

Driving Video Retrieval for Complex Queries with Structured Grounding

Manyi Yao, Sparsh Garg, Christian Shelton +2

Video retrieval at scale is central to data curation and safety validation in autonomous driving, where users want to find not only scenes but also dynamic events such as cut-ins a…

cs.CV2026

SAGA: Source Attribution of Generative AI Videos

Rohit Kundu, Vishal Mohanty, Hao Xiong +3

The proliferation of generative AI has led to hyper-realistic synthetic videos, escalating misuse risks and outstripping binary real/fake detectors. We introduce SAGA (Source Attri…

cs.CV2025

CHROME: Clothed Human Reconstruction with Occlusion-Resilience and Multiview-Consistency from a Single Image

Arindam Dutta, Meng Zheng, Zhongpai Gao +5

Reconstructing clothed humans from a single image is a fundamental task in computer vision with wide-ranging applications. Although existing monocular clothed human reconstruction…

cs.LG2025

HEAL: An Empirical Study on Hallucinations in Embodied Agents Driven by Large Language Models

Trishna Chakraborty, Udita Ghosh, Xiaopan Zhang +5

Large language models (LLMs) are increasingly being adopted as the cognitive core of embodied agents. However, inherited hallucinations, which stem from failures to ground user ins…

cs.CV2025

TruthLens: Visual Grounding for Universal DeepFake Reasoning

Rohit Kundu, Shan Jia, Vishal Mohanty +2

Detecting DeepFakes has become a crucial research area as the widespread use of AI image generators enables the effortless creation of face-manipulated and fully synthetic content,…