15 citations · 24 across the 25 of their papers we have counts for
4 papers · 1 filter
Exploring Audio Hallucination in Egocentric Video Understanding
Ashish Seth, Xinhao Mei, Changsheng Zhao +9
Egocentric videos provide a distinctive setting in which sound serves as crucial cues to understand user activities and surroundings, particularly when visual information is unstab…
EgoAVU: Egocentric Audio-Visual Understanding
Ashish Seth, Xinhao Mei, Changsheng Zhao +9
Understanding egocentric videos plays a vital role for embodied intelligence. Recent multi-modal large language models (MLLMs) can accept both visual and audio inputs. However, due…
Towards a Systematic Evaluation of Hallucinations in Large-Vision Language Models
Ashish Seth, Dinesh Manocha, Chirag Agarwal
Large Vision-Language Models (LVLMs) have demonstrated remarkable performance in complex multimodal tasks. However, these models still suffer from hallucinations, particularly when…
DeAR: Debiasing Vision-Language Models with Additive Residuals
Ashish Seth, Mayur Hemani, Chirag Agarwal
Large pre-trained vision-language models (VLMs) reduce the time for developing predictive models for various vision-grounded language downstream tasks by providing rich, adaptable…