activity
20232025
most citedAIM 2024 Challenge on Video Saliency Prediction: Methods and Results

8 citations · 30 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025★ 7 cited

LMME3DHF: Benchmarking and Evaluating Multimodal 3D Human Face Generation with LMMs

Woo Yi Yang, Jiarui Wang, Sijing Wu +6

The rapid advancement in generative artificial intelligence have enabled the creation of 3D human faces (HFs) for applications including media production, virtual reality, security…

eess.IV2024★ 7 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…

cs.CV2024★ 8 cited

AIM 2024 Challenge on Video Saliency Prediction: Methods and Results

Andrey Moskalenko, Alexey Bryncev, Dmitry Vatolin +30

This paper reviews the Challenge on Video Saliency Prediction at AIM 2024. The goal of the participants was to develop a method for predicting accurate saliency maps for the provid…

eess.IV2024★ 7 cited

AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results

Maksim Smirnov, Aleksandr Gushchin, Anastasia Antsiferova +29

Video quality assessment (VQA) is a crucial task in the development of video compression standards, as it directly impacts the viewer experience. This paper presents the results of…

cs.CV2024★ 1 cited

How Does Audio Influence Visual Attention in Omnidirectional Videos? Database and Model

Yuxin Zhu, Huiyu Duan, Kaiwei Zhang +5

Understanding and predicting viewer attention in omnidirectional videos (ODVs) is crucial for enhancing user engagement in virtual and augmented reality applications. Although both…

cs.CV2023

Audio-visual Saliency for Omnidirectional Videos

Yuxin Zhu, Xilei Zhu, Huiyu Duan +6

Visual saliency prediction for omnidirectional videos (ODVs) has shown great significance and necessity for omnidirectional videos to help ODV coding, ODV transmission, ODV renderi…

cs.CV2023

Perceptual Quality Assessment of Omnidirectional Audio-visual Signals

Xilei Zhu, Huiyu Duan, Yuqin Cao +6

Omnidirectional videos (ODVs) play an increasingly important role in the application fields of medical, education, advertising, tourism, etc. Assessing the quality of ODVs is signi…