313 citations · 1.3k across the 32 of their papers we have counts for
8 papers · 1 filter
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…
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…
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…
Scaling Audio-Visual Quality Assessment Dataset via Crowdsourcing
Renyu Yang, Jian Jin, Lili Meng +4
Audio-visual quality assessment (AVQA) research has been stalled by limitations of existing datasets: they are typically small in scale, with insufficient diversity in content and…
TABES: Trajectory-Aware Backward-on-Entropy Steering for Masked Diffusion Models
Shreshth Saini, Avinab Saha, Balu Adsumilli +3
Masked Diffusion Models (MDMs) have emerged as a promising non-autoregressive paradigm for generative tasks, offering parallel decoding and bidirectional context utilization. Howev…