3 citations · 5 across the 6 of their papers we have counts for
6 papers
Team RAS in 11th ABAW Competition: Multimodal Ambivalence Recognition Approach
Elena Ryumina, Maxim Markitantov, Alexandr Axyonov +4
Automatic recognition of ambivalence and hesitancy is challenging because these states may be expressed through inconsistent linguistic, acoustic, facial, and contextual patterns,…
Team RAS in 10th ABAW Competition: Multimodal Valence and Arousal Estimation Approach
Elena Ryumina, Maxim Markitantov, Alexandr Axyonov +4
Continuous emotion recognition in terms of valence and arousal under in-the-wild (ITW) conditions remains a challenging problem due to large variations in appearance, head pose, il…
Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach
Elena Ryumina, Maxim Markitantov, Alexandr Axyonov +3
Compound Expression Recognition (CER), a subfield of affective computing, aims to detect complex emotional states formed by combinations of basic emotions. In this work, we present…
Audio-Visual Compound Expression Recognition Method based on Late Modality Fusion and Rule-based Decision
Elena Ryumina, Maxim Markitantov, Dmitry Ryumin +2
This paper presents the results of the SUN team for the Compound Expressions Recognition Challenge of the 6th ABAW Competition. We propose a novel audio-visual method for compound…
SUN Team's Contribution to ABAW 2024 Competition: Audio-visual Valence-Arousal Estimation and Expression Recognition
Denis Dresvyanskiy, Maxim Markitantov, Jiawei Yu +3
As emotions play a central role in human communication, automatic emotion recognition has attracted increasing attention in the last two decades. While multimodal systems enjoy hig…
An Audio-Video Deep and Transfer Learning Framework for Multimodal Emotion Recognition in the wild
Denis Dresvyanskiy, Elena Ryumina, Heysem Kaya +3
In this paper, we present our contribution to ABAW facial expression challenge. We report the proposed system and the official challenge results adhering to the challenge protocol.…