6 papers
TRACE: Evidence Grounding-Guided Multi-Video Event Understanding and Claim Generation
Pengyu Yan, Akhil Gorugantu, Mahesh Bhosale +3
Multi-video event understanding demands models that can locate and attribute query-relevant evidence scattered across long, heterogeneous video corpora. Existing large vision-langu…
Score-Control for Hallucination Reduction in Diffusion Models
Mahesh Bhosale, Naresh Kumar Devulapally, Abdul Wasi +3
Diffusion models have emerged as the backbone of modern generative AI, powering advances in vision, language, audio and other modalities. Despite their success, they suffer from ha…
CRAFT: Critic-Refined Adaptive Key-Frame Targeting for Multimodal Video Question Answering
Mahesh Bhosale, Abdul Wasi, Vishvesh Trivedi +3
Grounded multi-video question answering over real-world news events requires systems to surface query-relevant evidence across heterogeneous video archives while attributing every…
FairLLaVA: Fairness-Aware Parameter-Efficient Fine-Tuning for Large Vision-Language Assistants
Mahesh Bhosale, Abdul Wasi, Shantam Srivastava +5
While powerful in image-conditioned generation, multimodal large language models (MLLMs) can display uneven performance across demographic groups, highlighting fairness risks. In s…
PathDiff: Histopathology Image Synthesis with Unpaired Text and Mask Conditions
Mahesh Bhosale, Abdul Wasi, Yuanhao Zhai +7
Diffusion-based generative models have shown promise in synthesizing histopathology images to address data scarcity caused by privacy constraints. Diagnostic text reports provide h…
ICPR 2024 Competition on Rider Intention Prediction
Shankar Gangisetty, Abdul Wasi, Shyam Nandan Rai +8
The recent surge in the vehicle market has led to an alarming increase in road accidents. This underscores the critical importance of enhancing road safety measures, particularly f…