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07/20/2023
Vesper: A Compact and Effective Pretrained Model for Speech Emotion Recognition
This paper presents a paradigm that adapts general large-scale pretraine...
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03/03/2023
DWFormer: Dynamic Window transFormer for Speech Emotion Recognition
Speech emotion recognition is crucial to human-computer interaction. The...
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02/27/2023
DST: Deformable Speech Transformer for Emotion Recognition
Enabled by multi-head self-attention, Transformer has exhibited remarkab...
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02/27/2023
SpeechFormer++: A Hierarchical Efficient Framework for Paralinguistic Speech Processing
Paralinguistic speech processing is important in addressing many issues,...
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02/21/2023
Understanding Dynamic Human-Robot Proxemics in the Case of Four-Legged Canine-Inspired Robots
Recently, quadruped robots have been well developed with potential appli...
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11/28/2022
Superpoint Transformer for 3D Scene Instance Segmentation
Most existing methods realize 3D instance segmentation by extending thos...
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07/06/2022
Context Sensing Attention Network for Video-based Person Re-identification
Video-based person re-identification (ReID) is challenging due to the pr...
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05/29/2022
CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI
Human language expression is based on the subjective construal of the si...
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04/12/2022
Compact Model Training by Low-Rank Projection with Energy Transfer
Low-rankness plays an important role in traditional machine learning, bu...
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03/08/2022
SpeechFormer: A Hierarchical Efficient Framework Incorporating the Characteristics of Speech
Transformer has obtained promising results on cognitive speech signal pr...
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10/09/2021
Weight Evolution: Improving Deep Neural Networks Training through Evolving Inferior Weight Values
To obtain good performance, convolutional neural networks are usually ov...
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06/22/2021
Key-Sparse Transformer with Cascaded Cross-Attention Block for Multimodal Speech Emotion Recognition
Speech emotion recognition is a challenging and important research topic...
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03/17/2021
A Measurement of In-Betweenness and Inference Based on Shape Theories
We propose a statistical framework to investigate whether a given subpop...
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03/03/2021
To Deconvolve, or Not to Deconvolve: Inferences of Neuronal Activities using Calcium Imaging Data
With the increasing popularity of calcium imaging data in neuroscience r...
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01/30/2021
LSSED: a large-scale dataset and benchmark for speech emotion recognition
Speech emotion recognition is a vital contributor to the next generation...
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05/14/2019
Listwise View Ranking for Image Cropping
Rank-based Learning with deep neural network has been widely used for im...
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04/23/2019
BIT: Biologically Inspired Tracker
Visual tracking is challenging due to image variations caused by various...
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12/27/2017
Geometry Processing of Conventionally Produced Mouse Brain Slice Images
Brain mapping research in most neuroanatomical laboratories relies on co...
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12/04/2017
Learning Reduced-Resolution and Super-Resolution Networks in Synch
Recent studies have shown that deep convolutional neural networks achiev...
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06/09/2017
Manifold Regularized Slow Feature Analysis for Dynamic Texture Recognition
Dynamic textures exist in various forms, e.g., fire, smoke, and traffic ...
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05/15/2017
Single Image Super-Resolution Using Multi-Scale Convolutional Neural Network
Methods based on convolutional neural network (CNN) have demonstrated tr...
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02/08/2017
Multi-scale Convolutional Neural Networks for Crowd Counting
Crowd counting on static images is a challenging problem due to scale va...
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01/28/2016