mlsanityData to 7 Oct 2026

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition

arXiv 2605.27451 ↗First posted 24 May 2026cs.CVcited by 12

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Abstract (arXiv)

The 10th Affective & Behavior Analysis in-the-Wild (ABAW) Workshop and Competition, held at CVPR 2026, continues to advance research on modelling, analysis, understanding of human affect and behavior in real-world, unconstrained environments. The workshop maintains its dual structure, comprising both a competition and a paper track. The ABAW Competition introduces a diverse set of challenges targeting key aspects of affective and behavioral understanding, including continuous affect (valence-arousal) estimation, discrete affect (expression and action unit) recognition, as well as more complex behavior analysis tasks, such as emotional mimicry intensity estimation, ambivalence/hesitancy recognition and fine-grained violence detection. These challenges are built upon large-scale in-the-wild datasets, providing comprehensive benchmarks for state-of-the-art approaches. In parallel, the paper track presents a wide range of contributions spanning pose, motion & behavior estimation, affect modelling & multimodal learning, benchmarks, datasets & evaluation protocols, fairness, robustness & deployment. Overall, the 10th ABAW Workshop and Competition continues to serve as a key platform for benchmarking, collaboration and innovation, shaping the development of next-generation multimodal, human-centered AI systems.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 18 of its 22 references that are in the map. First posted on arXiv 24 May 2026.

Builds on

18 of 22 references.

References · 18

  1. 2018Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyondcited by 216
  2. 2022MixAugment & Mixup: Augmentation Methods for Facial Expression Recognitioncited by 31
  3. 2024Behaviour4All: in-the-wild Facial Behaviour Analysis Toolkitcited by 16
  4. 2025DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarioscited by 13
  5. 2026Conflict-Aware Multimodal Fusion for Ambivalence and Hesitancy Recognitioncited by 11
  6. 2026BROTHER: Behavioral Recognition Optimized Through Heterogeneous Ensemble Regularization for Ambivalence and Hesitancycited by 7
  7. 2026Team LEYA in 10th ABAW Competition: Multimodal Ambivalence/Hesitancy Recognition Approachcited by 4
  8. 2026Solution for 10th Competition on Ambivalence/Hesitancy (AH) Video Recognition Challenge using Divergence-Based Multimodal Fusioncited by 4
  9. 2026Nuanced Emotion Recognition Based on a Segment-based MLLM Framework Leveraging Qwen3-Omni for AH Detectioncited by 3
  10. 2026Multimodal Emotion Regression with Multi-Objective Optimization and VAD-Aware Audio Modeling for the 10th ABAW EMI Trackcited by 2
  11. 2026Solution to the 10th ABAW Expression Recognition Challenge: A Robust Multimodal Framework with Safe Cross-Attention and Modality Dropoutcited by 1
  12. 2026Hierarchical Granularity Alignment and State Space Modeling for Robust Multimodal AU Detection in the Wildcited by 1
6 more
  1. 2026Stage-Adaptive Reliability Modeling for Continuous Valence-Arousal Estimationcited by 1
  2. 2026Multimodal Emotion Recognition via Bi-directional Cross-Attention and Temporal Modelingcited by 1
  3. 2026A Two-Stage Dual-Modality Model for Facial Emotional Expression Recognitioncited by 1
  4. 2026HSEmotion Team at ABAW-10 Competition: Facial Expression Recognition, Valence-Arousal Estimation, Action Unit Detection and Fine-Grained Violence Classificationcited by 1
  5. 2026Team RAS in 10th ABAW Competition: Multimodal Valence and Arousal Estimation Approachcited by 1
  6. 2026Distance-aware Soft Prompt Guidance for Multimodal Valence-Arousal Estimationcited by 1

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12 papers.