Research map / Video / Video segmentation and tracking
Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the thermal and motion video-word descriptor instead of temperature difference matrix features | Thermal expression recognition · MMSE thermal videos | recognition accuracy: 62% -> 91% | Helped |
| Use the thermal and motion video-word descriptor instead of temperature difference matrix features | Thermal expression recognition · USTC-NVIE, six prototype expressions | recognition accuracy: 59% -> 71% | Helped |
| Use the 3D dynamic expression descriptor on spontaneous MMSE expressions rather than BP4D expressions | 3D dynamic facial expression descriptor + HMM · Six-class spontaneous expression recognition | recognition rate: 73.7% -> 74.8% | Helped |
| Use seven-frame AU windows rather than the automatically selected window within 31-frame subsequences | LN-based 4D polynomial fitting · MMSE 3D AU depth data | weighted average AUC: .857 -> .904 | Helped |
| Use seven-frame AU windows rather than the automatically selected window within 31-frame subsequences | LN-based 4D polynomial fitting · MMSE 3D AU depth data | weighted average F1: .803 -> .859 | Helped |
Closest papers by meaning
- OV-MER: Towards Open-Vocabulary Multimodal Emotion Recognition (ICML 2025 · similarity 0.87)
- FEEL: Quantifying Heterogeneity in Physiological Signals for Generalizable Emotion Recognition (NeurIPS 2025 · similarity 0.87)
- $E^3$: Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset (NeurIPS 2024 · similarity 0.87)
- AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models (ICML 2025 · similarity 0.86)
- Multi-to-Single: Reducing Multimodal Dependency in Emotion Recognition Through Contrastive Learning (AAAI 2025 · similarity 0.86)
- EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition (NeurIPS 2025 · similarity 0.85)
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