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20242026
most citedSubjective and Objective Quality Assessment of Banding Artifacts on Compressed Videos

1 citations · 1 across the 16 of their papers we have counts for

collaborators

21 papers

cs.CV2026

JLD: Perceptual Distance Through A Jacobian Lens

Shreshth Saini, Balu Adsumilli, Alan C. Bovik

Image compression, restoration, and generation all require a way to measure how different two images look to a person. Pixel error ignores how people see, while the most accurate p…

cs.LG2026

MEND: RL For Flow Models via Proximal Velocity Matching

Shreshth Saini, Neil Birkbeck, Yilin Wang +2

Reward post-training of flow models either reweights the model's own samples under a KL penalty or a frozen reference, often for thousands of updates, or backpropagates the reward…

cs.CV2026

CinematicVQA: Benchmarking Film-Grammar Reasoning in Large Vision-Language Models

Shuo Xing, Pooja Verlani, Balu Adsumilli +1

Cinematography, the craft of visual storytelling through framing, lighting, and camera operation, fundamentally shapes how audiences perceive and emotionally engage with video cont…

cs.CV2026

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models

Bowen Chen, Shreshth Saini, Balu Adsumilli +1

Pretrained diffusion models generate realistic images but are constrained by the statistical biases of their training data, limiting their ability to produce high dynamic range (HD…

cs.CV2026

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…

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

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

SparkVSR: Interactive Video Super-Resolution via Sparse Keyframe Propagation

Jiongze Yu, Xiangbo Gao, Pooja Verlani +4

Video Super-Resolution (VSR) aims to restore high-quality video frames from low-resolution (LR) estimates, yet most existing VSR approaches behave like black boxes at inference tim…

cs.CV2026

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…

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…

cs.CV2026

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…

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…

cs.LG2026

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…

eess.IV2025

Avoiding Quality Saturation in UGC Compression Using Denoised References

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

Video-sharing platforms must re-encode large volumes of noisy user-generated content (UGC) to meet streaming demands. However, conventional codecs, which aim to minimize the mean s…

cs.CV2025

CHUG: Crowdsourced User-Generated HDR Video Quality Dataset

Shreshth Saini, Alan C. Bovik, Neil Birkbeck +2

High Dynamic Range (HDR) videos enhance visual experiences with superior brightness, contrast, and color depth. The surge of User-Generated Content (UGC) on platforms like YouTube…

cs.CV2025★ 1 cited

Subjective and Objective Quality Assessment of Banding Artifacts on Compressed Videos

Qi Zheng, Li-Heng Chen, Chenlong He +6

Although there have been notable advancements in video compression technologies in recent years, banding artifacts remain a serious issue affecting the quality of compressed videos…

eess.IV2025

Rate-Distortion Optimization with Non-Reference Metrics for UGC Compression

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

Service providers must encode a large volume of noisy videos to meet the demand for user-generated content (UGC) in online video-sharing platforms. However, low-quality UGC challen…

cs.CV2025

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.CV2024

An Ensemble Approach to Short-form Video Quality Assessment Using Multimodal LLM

Wen Wen, Yilin Wang, Neil Birkbeck +1

The rise of short-form videos, characterized by diverse content, editing styles, and artifacts, poses substantial challenges for learning-based blind video quality assessment (BVQA…

cs.CV2024

YouTube SFV+HDR Quality Dataset

Yilin Wang, Joong Gon Yim, Neil Birkbeck +1

The popularity of Short form videos (SFV) has grown dramatically in the past few years, and has become a phenomenal video category with billions of viewers. Meanwhile, High Dynamic…