Video Emotion Recognition
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Benchmarks
Most implemented
Emotion Recognition in Audio and Video Using Deep Neural Networks
VAEmo: Efficient Representation Learning for Visual-Audio Emotion with Knowledge Injection
MTCAE-DFER: Multi-Task Cascaded Autoencoder for Dynamic Facial Expression Recognition
MultiMAE-DER: Multimodal Masked Autoencoder for Dynamic Emotion Recognition
Papers
CLIP-AUTT: Test-Time Personalization with Action Unit Prompting for Fine-Grained Video Emotion Recognition
Personalization in emotion recognition (ER) is essential for accurate interpretation of subtle and subject-specific expressive patterns. Recent advances in vision-language models (VLMs), such as CLIP, demonstrate strong …
Facial Expression RecognitionVideo Emotion RecognitionMultimodal Video Emotion Recognition with Reliable Reasoning Priors
This study investigates the integration of trustworthy prior reasoning knowledge from MLLMs into multimodal emotion recognition. We employ Gemini to generate fine-grained, modality-separable reasoning traces, which are i…
Multimodal Emotion RecognitionVideo Emotion RecognitionContrastive LearningVAEmo: Efficient Representation Learning for Visual-Audio Emotion with Knowledge Injection
Audiovisual emotion recognition (AVER) aims to infer human emotions from nonverbal visual-audio (VA) cues, offering modality-complementary and language-agnostic advantages. However, AVER remains challenging due to the in…
Contrastive LearningDynamic Facial Expression RecognitionEmotion RecognitionRepresentation Learning+2Visual and textual prompts for enhancing emotion recognition in video
Vision Large Language Models (VLLMs) exhibit promising potential for multi-modal understanding, yet their application to video-based emotion recognition remains limited by insufficient spatial and contextual awareness. T…
Emotion RecognitionVideo Emotion RecognitionVisual PromptingMTCAE-DFER: Multi-Task Cascaded Autoencoder for Dynamic Facial Expression Recognition
This paper expands the cascaded network branch of the autoencoder-based multi-task learning (MTL) framework for dynamic facial expression recognition, namely Multi-Task Cascaded Autoencoder for Dynamic Facial Expression …
Dynamic Facial Expression RecognitionFace DetectionFacial Emotion RecognitionFacial Expression Recognition+2VEMOCLAP: A video emotion classification web application
We introduce VEMOCLAP: Video EMOtion Classifier using Pretrained features, the first readily available and open-source web application that analyzes the emotional content of any user-provided video. We improve our previo…
ClassificationEmotion ClassificationVideo Emotion Recognition