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20212025
most citedEmotion Neural Transducer for Fine-Grained Speech Emotion Recognition

34 citations · 67 across the 6 of their papers we have counts for

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6 papers

cs.CV2025

Robust Dynamic Facial Expression Recognition

Feng Liu, Hanyang Wang, Siyuan Shen

The study of Dynamic Facial Expression Recognition (DFER) is a nascent field of research that involves the automated recognition of facial expressions in video data. Although exist…

cs.SD2024★ 34 cited

Emotion Neural Transducer for Fine-Grained Speech Emotion Recognition

Siyuan Shen, Yu Gao, Feng Liu +2

The mainstream paradigm of speech emotion recognition (SER) is identifying the single emotion label of the entire utterance. This line of works neglect the emotion dynamics at fine…

cs.SD2023

Mingling or Misalignment? Temporal Shift for Speech Emotion Recognition with Pre-trained Representations

Siyuan Shen, Feng Liu, Aimin Zhou

Fueled by recent advances of self-supervised models, pre-trained speech representations proved effective for the downstream speech emotion recognition (SER) task. Most prior works…

cs.CV2021★ 5 cited

LMR-CBT: Learning Modality-fused Representations with CB-Transformer for Multimodal Emotion Recognition from Unaligned Multimodal Sequences

Ziwang Fu, Feng Liu, Hanyang Wang +5

Learning modality-fused representations and processing unaligned multimodal sequences are meaningful and challenging in multimodal emotion recognition. Existing approaches use dire…

cs.CV2021★ 28 cited

A cross-modal fusion network based on self-attention and residual structure for multimodal emotion recognition

Ziwang Fu, Feng Liu, Hanyang Wang +4

The audio-video based multimodal emotion recognition has attracted a lot of attention due to its robust performance. Most of the existing methods focus on proposing different cross…

cs.CV2021

EvoGAN: An Evolutionary Computation Assisted GAN

Feng Liu, HanYang Wang, Jiahao Zhang +4

The image synthesis technique is relatively well established which can generate facial images that are indistinguishable even by human beings. However, all of these approaches uses…