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Face and Expression Recognition

Face and Expression Recognition

98 faculty research Face and Expression Recognition on GradNova.

C
Machine Learning
Random Sketching
Statistical Learning Theory
Trustworthy Learning
+5
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
Advanced Image and Video Retrieval Techniques
Emotion and Mood Recognition
Face and Expression Recognition
Face Recognition and Analysis
+1
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
R
Raed Almomani, PhD

Lecturer II, Computer and Information Science

Computer Science

University of Michigan–Dearborn

Advanced Image and Video Retrieval Techniques
Face and Expression Recognition
Face Recognition and Analysis
Human Pose and Action Recognition
+1
C
Face and Expression Recognition
Neural Networks and Applications
Blind Source Separation Techniques
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 & 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
K
Blind Source Separation Techniques
Face and Expression Recognition
Matrix Theory and Algorithms
Sparse and Compressive Sensing Techniques
+1
X
Domain Adaptation and Few-Shot Learning
Face and Expression Recognition
Face Recognition and Analysis
Generative Adversarial Networks and Image Synthesis
+1
T
Advanced Neural Network Applications
Digital Media and Visual Art
Face and Expression Recognition
Natural Language Processing Techniques
+1
Y
Advanced Bandit Algorithms Research
Algorithms and Data Compression
Face and Expression Recognition
Machine Learning and Algorithms
+1
M
Clustering
Computational Neuroscience
Computer Vision
Denoising and Other Unsupervised Learning Problems
+13
A
Caching and Content Delivery
Cloud Computing and Resource Management
Face and Expression Recognition
Neural Networks and Applications
+1
M
Advanced Image and Video Retrieval Techniques
Augmented Reality Applications
Face and Expression Recognition
Face Recognition and Analysis
+1
A
Applied Optimization: Distance Geometry, Large-Scale Kernel Methods, and Algorithm Unrolling for Signal Processing
High-Dimensional Data Analysis: Matrix Completion, Compressive Sensing, and Structured Sparse Recovery
Mathematical Foundations of Ai: Interpretable Machine Learning, Dictionary Learning, and Geometry-Aware Representations
Sparse and Compressive Sensing Techniques
+4
O
Advanced Vision and Imaging
Cancer-Related Molecular Mechanisms Research
Natural Language Processing Techniques
Robotics and Sensor-Based Localization
+5
R
Face and Expression Recognition
Face Recognition and Analysis
Software Engineering Research
Software Reliability and Analysis Research
+1
C
Chandrajit Bajaj

Professor, Computational Applied Mathematics Chair in Visualization

Computer Science

The University of Texas at Austin

Bioinformatics and Computational Biology
Graphics and Visualization
Machine Learning
Scientific Computing
+5
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