Related references
Note: Only part of the references are listed.LQGDNet: A Local Quaternion and Global Deep Network for Facial Depression Recognition
Yuanyuan Shang et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2023)
Multimodal Spatiotemporal Representation for Automatic Depression Level Detection
Mingyue Niu et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2023)
MDN: A Deep Maximization-Differentiation Network for Spatio-Temporal Depression Detection
Wheidima Carneiro de Melo et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2023)
Depression Level Prediction Using Deep Spatiotemporal Features and Multilayer Bi-LTSM
Md Azher Uddin et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2022)
Facial Depression Recognition by Deep Joint Label Distribution and Metric Learning
Xiuzhuang Zhou et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2022)
Video-Based Depression Level Analysis by Encoding Deep Spatiotemporal Features
Mohamad Al Jazaery et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2021)
Automatic depression recognition using CNN with attention mechanism from videos
Lang He et al.
NEUROCOMPUTING (2021)
Visually Interpretable Representation Learning for Depression Recognition from Facial Images
Xiuzhuang Zhou et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2020)
Epileptic Seizure Detection in EEG Signals Using a Unified Temporal-Spectral Squeeze-and-Excitation Network
Yang Li et al.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2020)
Unified Spatio-Temporal Attention Networks for Action Recognition in Videos
Dong Li et al.
IEEE TRANSACTIONS ON MULTIMEDIA (2019)
Automatic Depression Analysis Using Dynamic Facial Appearance Descriptor and Dirichlet Process Fisher Encoding
Lang He et al.
IEEE TRANSACTIONS ON MULTIMEDIA (2019)
SCAN: Self-and-Collaborative Attention Network for Video Person Re-Identification
Ruimao Zhang et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2019)
Bilinear Attention Networks for Person Retrieval
Pengfei Fang et al.
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)
SQUEEZE-AND-EXCITATION WIDE RESIDUAL NETWORKS IN IMAGE CLASSIFICATION
Xian Zhong et al.
2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) (2019)
Pooling the Convolutional Layers in Deep ConvNets for Video Action Recognition
Shichao Zhao et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2018)
Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics
Yu Zhu et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2018)
Artificial Intelligent System for Automatic Depression Level Analysis Through Visual and Vocal Expressions
Asim Jan et al.
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS (2018)
Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-grained Image Recognition
Jianlong Fu et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Major depressive disorder
Christian Otte et al.
NATURE REVIEWS DISEASE PRIMERS (2016)
Automated Depression Diagnosis Based on Facial Dynamic Analysis and Sparse Coding
Lingyun Wen et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2015)
A narrative review of the Beck Depression Inventory (BDI) and implications for its use in an alcohol-dependent population
A. McPherson et al.
JOURNAL OF PSYCHIATRIC AND MENTAL HEALTH NURSING (2010)
Dynamic texture recognition using local binary patterns with an application to facial expressions
Guoying Zhao et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2007)