12 papers
RUTA: Principled Visual Token Allocation via Rate-Utility Optimization
Jian Zou, Xiaoyu Xu, Zhihua Wang +3
High-resolution images and long videos provide vision-language models with rich context for multimodal reasoning and fine-grained perception, but the resulting long visual token se…
CachedSearch: Training-Free Cached Exploration for Test-Time Search in Video Diffusion
Shreshth Saini, Neil Birkbeck, Yilin Wang +2
Test-time search lets small video diffusion models rival larger ones, but costs 2-10x more. All candidates are fully denoised, although most are discarded. Training-free caching ma…
Context and Pixel Aware Large Language Model for Video Quality Assessment
Wen Wen, Yaohong Wu, Yue Sheng +3
Video quality assessment (VQA) is a challenging research topic with broad applications. Traditional hand-crafted and discriminative learning-based VQA models mainly focus on pixel-…
Subjective Portrait Region Cropping in Landscape Videos with Temporal Annotation Smoothing
Cheng-Han Lee, Maniratnam Mandal, Neil Birkbeck +3
With the rise of mobile video consumption on diverse handheld display resolutions and orientation modes, altering videos to aspect ratios poses challenges. Static cropping and bord…
LumaFlux: Lifting 8-Bit Worlds to HDR Reality with Physically-Guided Diffusion Transformers
Shreshth Saini, Hakan Gedik, Neil Birkbeck +3
The rapid adoption of HDR-capable devices has created a pressing need to convert the 8-bit Standard Dynamic Range (SDR) content into perceptually and physically accurate 10-bit Hig…
MDS-VQA: Model-Informed Data Selection for Video Quality Assessment
Jian Zou, Xiaoyu Xu, Zhihua Wang +3
Learning-based video quality assessment (VQA) has advanced rapidly, yet progress is increasingly constrained by a disconnect between model design and dataset curation. Model-centri…