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

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

collaborators

5 papers

cs.CV2026

OpenSAL360: Open-Source Crowdsourcing Platform for Omnidirectional Video Saliency Collection

Alexey Bryncev, Andrey Moskalenko, Kira Shilovskaya +2

Omnidirectional video saliency prediction plays an important role in many immersive multimedia applications, including viewport-adaptive streaming and compression, foveated renderi…

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

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…

cs.CV2024

Bridging the Gap Between Saliency Prediction and Image Quality Assessment

Kirillov Alexey, Andrey Moskalenko, Dmitriy Vatolin

Over the past few years, deep neural models have made considerable advances in image quality assessment (IQA). However, the underlying reasons for their success remain unclear, owi…