8 papers · 1 filter
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…
AutoEdit: Automatic Hyperparameter Tuning for Image Editing
Chau Pham, Quan Dao, Mahesh Bhosale +3
Recent advances in diffusion models have revolutionized text-guided image editing, yet existing editing methods face critical challenges in hyperparameter identification. To get th…
YOLOv12: Attention-Centric Real-Time Object Detectors
Yunjie Tian, Qixiang Ye, David Doermann
Enhancing the network architecture of the YOLO framework has been crucial for a long time, but has focused on CNN-based improvements despite the proven superiority of attention mec…