mlsanityData to 14 Oct 2026

AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge

arXiv 1605.01600 ↗First posted 5 May 2016cs.CV cs.HC cs.MMcited by 69

Not on the map. Why?

Abstract (arXiv)

The Audio/Visual Emotion Challenge and Workshop (AVEC 2016) "Depression, Mood and Emotion" will be the sixth competition event aimed at comparison of multimedia processing and machine learning methods for automatic audio, visual and physiological depression and emotion analysis, with all participants competing under strictly the same conditions. The goal of the Challenge is to provide a common benchmark test set for multi-modal information processing and to bring together the depression and emotion recognition communities, as well as the audio, video and physiological processing communities, to compare the relative merits of the various approaches to depression and emotion recognition under well-defined and strictly comparable conditions and establish to what extent fusion of the approaches is possible and beneficial. This paper presents the challenge guidelines, the common data used, and the performance of the baseline system on the two tasks.

Key facts. Cited by 69 papers in the map (data through 14 Oct 2026). First posted on arXiv 5 May 2016.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 12; 2022: 15; 2023: 10; 2024: 14; 2025: 13; 2026: 5.

69 papers.

Sort:

By area:

  1. 2023MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learningcited by 33
  2. 2021Pre-training strategies and datasets for facial representation learningcited by 26
  3. 2022Continuous Emotion Recognition using Visual-audio-linguistic information: A Technical Report for ABAW3cited by 20
  4. 2021Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognitioncited by 19
  5. 2022Audio-Visual Fusion for Emotion Recognition in the Valence-Arousal Space Using Joint Cross-Attentioncited by 18
  6. 2021Representation learning through cross-modal conditional teacher-student training for speech emotion recognitioncited by 17
  7. 2021Continuous Emotion Recognition with Audio-visual Leader-follower Attentive Fusioncited by 15
  8. 2022Multi-modal Depression Estimation based on Sub-attentional Fusioncited by 15
  9. 2024DAIC-WOZ: On the Validity of Using the Therapist's prompts in Automatic Depression Detection from Clinical Interviewscited by 15
  10. 2024DepMamba: Progressive Fusion Mamba for Multimodal Depression Detectioncited by 14
  11. 2023From the Lab to the Wild: Affect Modeling via Privileged Informationcited by 12
  12. 2024HiQuE: Hierarchical Question Embedding Network for Multimodal Depression Detectioncited by 12
38 more
  1. 2021End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networkscited by 9
  2. 2023Affect Recognition in Conversations Using Large Language Modelscited by 9
  3. 2021Multistage linguistic conditioning of convolutional layers for speech emotion recognitioncited by 8
  4. 2022Supervised Contrastive Learning for Affect Modellingcited by 8
  5. 2023DEPAC: a Corpus for Depression and Anxiety Detection from Speechcited by 8
  6. 2024LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wildcited by 8
  7. 2022End-to-End Label Uncertainty Modeling in Speech Emotion Recognition using Bayesian Neural Networks and Label Distribution Learningcited by 7
  8. 2023Scaling Representation Learning from Ubiquitous ECG with State-Space Modelscited by 7
  9. 2025Mamba-VA: A Mamba-based Approach for Continuous Emotion Recognition in Valence-Arousal Spacecited by 6
  10. 2025The First MPDD Challenge: Multimodal Personality-aware Depression Detectioncited by 6
  11. 2025Human Behavior Atlas: Benchmarking Unified Psychological and Social Behavior Understandingcited by 6
  12. 2022Automatic Depression Detection via Learning and Fusing Features from Visual Cuescited by 5
  13. 2022A knowledge-driven vowel-based approach of depression classification from speech using data augmentationcited by 5
  14. 2024Depression Detection and Analysis using Large Language Models on Textual and Audio-Visual Modalitiescited by 5
  15. 2022Facial Expression Analysis Using Decomposed Multiscale Spatiotemporal Networkscited by 4
  16. 2022Label Uncertainty Modeling and Prediction for Speech Emotion Recognition using t-Distributionscited by 4
  17. 2021Use of Affective Visual Information for Summarization of Human-Centric Videoscited by 3
  18. 2022Toward Knowledge-Driven Speech-Based Models of Depression: Leveraging Spectrotemporal Variations in Speech Vowelscited by 3
  19. 2023MultiMediate'23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactionscited by 3
  20. 2025Large Language Models for Depression Recognition in Spoken Language Integrating Psychological Knowledgecited by 3
  21. 2021A Novel Markovian Framework for Integrating Absolute and Relative Ordinal Emotion Informationcited by 2
  22. 2021Predicting Mood Disorder Symptoms with Remotely Collected Videos Using an Interpretable Multimodal Dynamic Attention Fusion Networkcited by 2
  23. 2022Neural Architecture Searching for Facial Attributes-based Depression Recognitioncited by 2
  24. 2022Deep Insights of Learning based Micro Expression Recognition: A Perspective on Promises, Challenges and Research Needscited by 2
  25. 2023Attention-Based Acoustic Feature Fusion Network for Depression Detectioncited by 2
  26. 2024Emotion Recognition from the perspective of Activity Recognitioncited by 2
  27. 2024Robust and Explainable Depression Identification from Speech Using Vowel-Based Ensemble Learning Approachescited by 2
  28. 2025PicPersona-TOD : A Dataset for Personalizing Utterance Style in Task-Oriented Dialogue with Image Personacited by 2
  29. 2025Automatic Depression Assessment using Machine Learning: A Comprehensive Surveycited by 2
  30. 2025Unveiling the Landscape of Clinical Depression Assessment: From Behavioral Signatures to Psychiatric Reasoningcited by 2
  31. 2022Benchmarking Domain Generalization on EEG-based Emotion Recognitioncited by 1
  32. 2022Multi-Task Learning for Depression Detection in Dialogscited by 1
  33. 2023Cost-effective Models for Detecting Depression from Speechcited by 1
  34. 2024Speech-Based Depression Prediction Using Encoder-Weight-Only Transfer Learning and a Large Corpuscited by 1
  35. 2025Explainable Multimodal Depression Recognition in Clinical Interviews via PHQ-Aligned Symptom Summarizationcited by 1
  36. 2025AnxietyFaceTrack: A Smartphone-Based Non-Intrusive Approach for Detecting Social Anxiety Using Facial Featurescited by 1
  37. 2026OmniSapiens: A Foundation Model for Social Behavior Processing via Heterogeneity-Aware Relative Policy Optimizationcited by 1
  38. 2021Significance of Speaker Embeddings and Temporal Context for Depression Detectioncited by 0

50 most cited of 69 All 69 (JSON)