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- Tsinghua UniversityCN5 papers
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- Alibaba Group (China)CN1 paper
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4 papers · 2 filters
OCFER-Net: Recognizing Facial Expression in Online Learning System
Yi Huo, Lei Zhang
Recently, online learning is very popular, especially under the global epidemic of COVID-19. Besides knowledge distribution, emotion interaction is also very important. It can be o…
VAD-Net: Multidimensional Facial Expression Recognition in Intelligent Education System
Yi Huo, Yun Ge
Current FER (Facial Expression Recognition) dataset is mostly labeled by emotion categories, such as happy, angry, sad, fear, disgust, surprise, and neutral which are limited in ex…
Multi-modal Reference Learning for Fine-grained Text-to-Image Retrieval
Zehong Ma, Hao Chen, Wei Zeng +2
Fine-grained text-to-image retrieval aims to retrieve a fine-grained target image with a given text query. Existing methods typically assume that each training image is accurately…
Soften the Mask: Adaptive Temporal Soft Mask for Efficient Dynamic Facial Expression Recognition
Meng-zhu Li, Quanxing Zha, Hongjun Wu
Dynamic Facial Expression Recognition (DFER) facilitates the understanding of psychological intentions through non-verbal communication. Existing methods struggle to manage irrelev…