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20242026
most citedAIM 2024 Challenge on Video Saliency Prediction: Methods and Results

8 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results

Andrey Moskalenko, Alexey Bryncev, Ivan Kosmynin +40

This paper presents an overview of the NTIRE 2026 Challenge on Video Saliency Prediction. The goal of the challenge participants was to develop automatic saliency map prediction me…

cs.CV2025

AIM 2025 Low-light RAW Video Denoising Challenge: Dataset, Methods and Results

Alexander Yakovenko, George Chakvetadze, Ilya Khrapov +17

This paper reviews the AIM 2025 (Advances in Image Manipulation) Low-Light RAW Video Denoising Challenge. The task is to develop methods that denoise low-light RAW video by exploit…

cs.CV2025

NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results

Nikolay Safonov, Alexey Bryncev, Andrey Moskalenko +28

This paper presents an overview of the NTIRE 2025 Challenge on UGC Video Enhancement. The challenge constructed a set of 150 user-generated content videos without reference ground…

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…