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cs.CV2026

StreamGaze: Gaze-Guided Temporal Reasoning and Proactive Understanding in Streaming Videos

Daeun Lee, Subhojyoti Mukherjee, Branislav Kveton +6

Streaming video understanding requires models not only to process temporally incoming frames, but also to anticipate user intention for realistic applications such as Augmented Rea…

cs.CV2026

ViT-AdaLA: Adapting Vision Transformers with Linear Attention

Yifan Li, Seunghyun Yoon, Viet Dac Lai +4

Vision Transformers (ViTs) based vision foundation models (VFMs) have achieved remarkable performance across diverse vision tasks, but suffer from quadratic complexity that limits…

cs.CV2026

ImageEdit-R1: Boosting Multi-Agent Image Editing via Reinforcement Learning

Yiran Zhao, Yaoqi Ye, Xiang Liu +2

With the rapid advancement of commercial multi-modal models, image editing has garnered significant attention due to its widespread applicability in daily life. Despite impressive…

cs.CV2025

FIFA: Unified Faithfulness Evaluation Framework for Text-to-Video and Video-to-Text Generation

Liqiang Jing, Viet Lai, Seunghyun Yoon +2

Video Multimodal Large Language Models (VideoMLLMs) have achieved remarkable progress in both Video-to-Text and Text-to-Video tasks. However, they often suffer fro hallucinations,…

cs.CV2025

Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage

Saehyung Lee, Seunghyun Yoon, Trung Bui +2

Multimodal large language models (MLLMs) excel at generating highly detailed captions but often produce hallucinations. Our analysis reveals that existing hallucination detection m…

cs.CV2025

Understanding Generative AI Capabilities in Everyday Image Editing Tasks

Mohammad Reza Taesiri, Brandon Collins, Logan Bolton +4

Generative AI (GenAI) holds significant promise for automating everyday image editing tasks, especially following the recent release of GPT-4o on March 25, 2025. However, what subj…