activity
20242026
collaborators

11 papers

cs.AI2026

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…

cs.CV2026

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-…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

Seeing Beyond 8bits: Subjective and Objective Quality Assessment of HDR-UGC Videos

Shreshth Saini, Bowen Chen, Neil Birkbeck +3

High Dynamic Range (HDR) user-generated (UGC) videos are rapidly proliferating across social platforms, yet most perceptual video quality assessment (VQA) systems remain tailored t…

eess.IV2026

Rate-Distortion Optimization for Ensembles of Non-Reference Metrics

Xin Xiong, Samuel Fernández-Menduiña, Eduardo Pavez +3

Non-reference metrics (NRMs) can assess the visual quality of images and videos without a reference, making them well-suited for the evaluation of user-generated content. Nonethele…