Gaze Estimation by Attention-Induced Hierarchical Variational Auto-Encoder

Identification of autism spectrum disorder based on electroencephalography: A systematic review

Appearance-Based Gaze Estimation for ASD Diagnosis

Automatic classification of ASD children using appearance-based features from videos

Variational Abnormal Behavior Detection With Motion Consistency

Attention mechanism-based CNN for facial expression recognition

Classifying ASD children with LSTM based on raw videos

Cross-Level Parallel Network for Crowd Counting

CNN-Based Facial Expression Recognition from Annotated RGB-D Images for Human–Robot Interaction

Crowd Counting Via Residual Building Block Convolutional Neural Network

Distributed Face Recognition Based on Load Balancing and Dynamic Prediction

Real-time face recognition based on pre-identification and multi-scale classification

Residual Attention Regression for 3D Hand Pose Estimation

A Novel Convolutional Neural Network for Facial Expression Recognition

A Novel Hand Gesture Recognition Based on High-Level Features

Hand Gesture Recognition with Generalized Hough Transform and DC-CNN Using Realsense

Human fall detection using normalized shape aspect ratio

Identification of ASD Children based on Video Data

Recognition of pedestrian activity based on dropped-object detection

An Integrative Framework of Human Hand Gesture Segmentation for Human–Robot Interaction

A new image-based immersive tool for dementia diagnosis using pairwise ranking and learning

Robust Visual Tracking Based on Improved Perceptual Hashing for Robot Vision

Visual tracking based on improved foreground detection and perceptual hashing

A human-oriented mutual assistive framework using collaborative filtering towards disasters

A novel marker-less lung tumor localization strategy on low-rank fluoroscopic images with similarity learning

Building recognition in urban environments: A survey of state-of-the-art and future challenges

Classifying Normal and Abnormal Status Based on Video Recordings of Epileptic Patients

Using Permutation Entropy to Measure the Changes in EEG Signals During Absence Seizures

Using Relevance Feedback to Distinguish the Changes in EEG During Different Absence Seizure Phases