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08/28/2023
Time-Frequency Transformer: A Novel Time Frequency Joint Learning Method for Speech Emotion Recognition
In this paper, we propose a novel time-frequency joint learning method f...
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06/02/2023
Learning Local to Global Feature Aggregation for Speech Emotion Recognition
Transformer has emerged in speech emotion recognition (SER) at present. ...
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02/17/2023
Deep Implicit Distribution Alignment Networks for Cross-Corpus Speech Emotion Recognition
In this paper, we propose a novel deep transfer learning method called d...
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10/22/2022
Speech Emotion Recognition via an Attentive Time-Frequency Neural Network
Spectrogram is commonly used as the input feature of deep neural network...
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11/30/2021
Seeking Salient Facial Regions for Cross-Database Micro-Expression Recognition
This paper focuses on the research of cross-database micro-expression re...
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10/19/2020
SMA-STN: Segmented Movement-Attending Spatiotemporal Network forMicro-Expression Recognition
Correctly perceiving micro-expression is difficult since micro-expressio...
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09/03/2020
Spatial Transformer Point Convolution
Point clouds are unstructured and unordered in the embedded 3D space. In...
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08/13/2020
DFEW: A Large-Scale Database for Recognizing Dynamic Facial Expressions in the Wild
Recently, facial expression recognition (FER) in the wild has gained a l...
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12/19/2018
Cross-Database Micro-Expression Recognition: A Benchmark
Cross-database micro-expression recognition (CDMER) is one of recently e...
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11/30/2018
Cross-database non-frontal facial expression recognition based on transductive deep transfer learning
Cross-database non-frontal expression recognition is a very meaningful b...
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07/26/2017
Learning a Target Sample Re-Generator for Cross-Database Micro-Expression Recognition
In this paper, we investigate the cross-database micro-expression recogn...
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05/12/2017
