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Face and Expression Recognition

Face and Expression Recognition

55 faculty research Face and Expression Recognition on GradNova.

B
Advanced MIMO Systems Optimization
Face and Expression Recognition
Indoor and Outdoor Localization Technologies
Neural Networks and Applications
+1
J
Applied Machine Learning
Computer Vision
Data Mining
Online Learning and Analytics
+4
S
Data Stream Mining Techniques
Evolutionary Algorithms and Applications
Face and Expression Recognition
Neural Networks and Applications
+1
M
Advanced Clustering Algorithms Research
Advanced Image and Video Retrieval Techniques
Face and Expression Recognition
Image Retrieval and Classification Techniques
+1
C
Enzyme Structure and Function
Face and Expression Recognition
Neuroscience and Neuropharmacology Research
Protein Structure and Dynamics
+1
Y
Adversarial Robustness in Machine Learning
Domain Adaptation and Few-Shot Learning
Face and Expression Recognition
Sparse and Compressive Sensing Techniques
+1
A
Database and Knowledge-Base Systems
Formal Languages and Their Application to Databases
Graph Theory
Topic Modeling
+4
Y
Affective Computing
Computer Vision
Eye Gaze Tracking
Facial Activity Analysis
+8
C
Machine Learning
Face and Expression Recognition
Biometric Identification and Security
Ethics and Social Impacts of AI
+2
P
Face and Expression Recognition
Neural Networks and Applications
Remote Sensing in Agriculture
Smart Agriculture and AI
+1
S
AI-Based Problem Solving and Planning
Computability, Logic, AI Algorithms
Face and Expression Recognition
Logic, Programming, and Type Systems
+1
E
Intelligent and Autonomous Systems
Face Recognition and Analysis
Face and Expression Recognition
Video Surveillance and Tracking Methods
+2
G
Computer Vision
Machine Learning
Pattern Recognition
Face and Expression Recognition
+4
X
Advanced Neural Network Applications
Face and Expression Recognition
Medical Image Segmentation Techniques
Sparse and Compressive Sensing Techniques
+1
D
Daniel Boley

Professor, Distinguished University Teaching Professor

Computer Science

University of Minnesota

Face and Expression Recognition
Matrix Theory and Algorithms
Numerical Methods for Differential Equations
Sparse and Compressive Sensing Techniques
+1
A
Advanced Image and Video Retrieval Techniques
Face and Expression Recognition
Face Recognition and Analysis
Human Pose and Action Recognition
+1
C
Blind Source Separation Techniques
Face and Expression Recognition
Neural Networks and Applications
Q
Qiang (Shawn) Cheng

Associate Professor, Division of Biomedical Informatics, Department of Internal Medicine (courtesy joint appointment)

Computer Science

University of Kentucky

Blind Source Separation Techniques
Face and Expression Recognition
Remote-Sensing Image Classification
Sparse and Compressive Sensing Techniques
+1
I
Machine Learning
Visual Computing and HCI
Infrared Thermography in Medicine
Non-Invasive Vital Sign Monitoring
+3
A
Data Assimilation
Data Fusion
Machine Learning
Reduced Order Modeling
+5
K
Computational Modeling of Visual Perception
Computer Vision
Machine Learning
Genomics and Phylogenetic Studies
+4
X
Domain Adaptation and Few-Shot Learning
Face and Expression Recognition
Face Recognition and Analysis
Generative Adversarial Networks and Image Synthesis
+1
B
Complex Systems and Decision Making
Face and Expression Recognition
Statistical Methods and Inference
Stochastic Gradient Optimization Techniques
T
Advanced Neural Network Applications
Digital Media and Visual Art
Face and Expression Recognition
Natural Language Processing Techniques
+1
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