GradNova

Home
Find Faculty
Universities
Research
Home
/
Research
/

Multimodal Machine Learning Applications

Multimodal Machine Learning Applications

120 faculty research Multimodal Machine Learning Applications on GradNova.

M
Evacuation and Crowd Dynamics
Human-Automation Interaction and Safety
Multimodal Machine Learning Applications
Robotics and Automated Systems
+1
S
Ionosphere and Magnetosphere Dynamics
Multimodal Machine Learning Applications
Solar and Space Plasma Dynamics
Text Readability and Simplification
+1
Y
Advanced Image and Video Retrieval Techniques
Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Human Pose and Action Recognition
+1
S
Suman Banerjee

David J. DeWitt Professor and Associate Chair for Professional Programs

Computer Science

University of Wisconsin–Madison

Energy Efficient Wireless Sensor Networks
Hand Gesture Recognition Systems
Human Pose and Action Recognition
Multimodal Machine Learning Applications
+1
F
Adversarial Robustness in Machine Learning
Multimodal Machine Learning Applications
Topic Modeling
Y
Handwritten Text Recognition Techniques
Multimodal Machine Learning Applications
Natural Language Processing Techniques
Speech Recognition and Synthesis
+1
Z
Artificial Intelligence (computer Vision)
Multimodal Machine Learning Applications
Domain Adaptation and Few-Shot Learning
Advanced Image and Video Retrieval Techniques
+2
J
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Natural Language Processing Techniques
Speech and Dialogue Systems
+1
M
Mahdi Soltanolkotabi

Andrew and Erna Viterbi Early Career Chair and Professor of Electrical and Computer Engineering, Computer Science, and Industrial and Systems Engineering

Computer Science

University of Southern California

Artificial Intelligence in Healthcare and Education
COVID-19 Diagnosis Using AI
Multimodal Machine Learning Applications
K
Konstantinos Psounis

Professor of Electrical and Computer Engineering and Computer Science

Computer Science

University of Southern California

Domain Adaptation and Few-Shot Learning
Explainable Artificial Intelligence (xai)
Multimodal Machine Learning Applications
X
Xuezhe Ma

Research Assistant Professor of Computer Science

Computer Science

University of Southern California

Multimodal Machine Learning Applications
Natural Language Processing Techniques
Speech and Dialogue Systems
Speech Recognition and Synthesis
+1
P
Quantum Programming Languages
Type Theory
Topic Modeling
Multimodal Machine Learning Applications
+3
J
Jiebo Luo

Albert Arendt Hopeman Professor of Engineering Professor of Computer Science

Computer Science

University of Rochester

AI for Healthcare
Computer Vision
Data Mining
Human Computer Interaction
+8
N
Advanced Image and Video Retrieval Techniques
Complex Network Analysis Techniques
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
+1
D
Advanced Vision and Imaging
Human Pose and Action Recognition
Multimodal Machine Learning Applications
Reinforcement Learning in Robotics
+1
D
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Surgical Simulation and Training
E
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Surgical Simulation and Training
S
Shishir Shah

CS Director and OU Chief Artificial Intelligence Officer

Computer Science

University of Oklahoma

AI Systems Integration and Real-World Applications
Biomedical and Microscope Image Analysis
Computer Vision and Video Analytics
Human Motion and Behavior Recognition
+6
S
Advanced Neural Network Applications
Data Visualization and Analytics
Domain Adaptation and Few-Shot Learning
Human Pose and Action Recognition
+1
T
Clothing Recognition
Computer Vision
Gaze Pattern Analysis
Human-In-The Loop Recognition
+10
K
Advanced Image and Video Retrieval Techniques
Human Pose and Action Recognition
Multimodal Machine Learning Applications
Robot Manipulation and Learning
+1
S
Advanced Graph Neural Networks
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Recommender Systems and Techniques
+1
B
Artificial Intelligence in Games
Digital Games and Media
Multimodal Machine Learning Applications
Reinforcement Learning in Robotics
+1
S
Multimodal Machine Learning Applications
Natural Language Processing Techniques
Online Learning and Analytics
Text Readability and Simplification
+1
2

...

5
Next