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researcher

Maxim Markitantov

St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS)

3 papers hereh-index 9270 citations32 works total

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author position
  • middle author1

Across the 1 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3
affiliations
  • St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS)
HomepageORCID 0000-0001-7987-1025

identity via Semantic Scholar / OpenAlex

works on
affective computing 1ambivalence detection 1hesitancy recognition 1multimodal fusion 1text-centered model 1

From the 1 of 3 linked papers with an AI index.

collaborators

3 papers

cs.CV2026

Team RAS in 11th ABAW Competition: Multimodal Ambivalence Recognition Approach

Elena Ryumina, Maxim Markitantov, Alexandr Axyonov +4

The paper proposes a text‑centered multimodal fusion model that combines linguistic, acoustic, facial, and scene cues to recognize ambivalence and hesitancy in videos for the ABAW…

cs.CV2026

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…

cs.CV2025

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…

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