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20212026
most citedAIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results

7 citations · 21 across the 26 of their papers we have counts for

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11 papers · 1 filter

eess.IV20261 cited

Surveillance Facial Image Quality Assessment: A Multi-dimensional Dataset and Lightweight Model

Yanwei Jiang, Wei Sun, Yingjie Zhou +8

Surveillance facial images are often captured under unconstrained conditions, resulting in severe quality degradation due to factors such as low resolution, motion blur, occlusion,…

eess.IV2025

DLADiff: A Dual-Layer Defense Framework against Fine-Tuning and Zero-Shot Customization of Diffusion Models

Jun Jia, Hongyi Miao, Yingjie Zhou +8

With the rapid advancement of diffusion models, a variety of fine-tuning methods have been developed, enabling high-fidelity image generation with high similarity to the target con…

eess.IV2025

CompressedVQA-HDR: Generalized Full-reference and No-reference Quality Assessment Models for Compressed High Dynamic Range Videos

Wei Sun, Linhan Cao, Kang Fu +5

Video compression is a standard procedure applied to all videos to minimize storage and transmission demands while preserving visual quality as much as possible. Therefore, evaluat…

eess.IV2025

ICME 2025 Generalizable HDR and SDR Video Quality Measurement Grand Challenge

Yixu Chen, Bowen Chen, Hai Wei +16

This paper reports IEEE International Conference on Multimedia \& Expo (ICME) 2025 Grand Challenge on Generalizable HDR and SDR Video Quality Measurement. With the rapid developmen…

eess.IV20247 cited

AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results

Ivan Molodetskikh, Artem Borisov, Dmitriy Vatolin +24

This paper presents the Video Super-Resolution (SR) Quality Assessment (QA) Challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with E…

eess.IV2024

SG-JND: Semantic-Guided Just Noticeable Distortion Predictor For Image Compression

Linhan Cao, Wei Sun, Xiongkuo Min +8

Just noticeable distortion (JND), representing the threshold of distortion in an image that is minimally perceptible to the human visual system (HVS), is crucial for image compress…