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Multimodal Machine Learning Applications

Multimodal Machine Learning Applications

254 faculty research Multimodal Machine Learning Applications on GradNova.

A
Artificial Intelligence (natural Language Processing)
Topic Modeling
Natural Language Processing Techniques
Explainable Artificial Intelligence (xai)
+2
Z
Artificial Intelligence (computer Vision)
Multimodal Machine Learning Applications
Domain Adaptation and Few-Shot Learning
Advanced Image and Video Retrieval Techniques
+2
D
Multimodal Machine Learning Applications
Social Robot Interaction and Hri
Speech and Dialogue Systems
Speech Recognition and Synthesis
+1
J
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Natural Language Processing Techniques
Speech and Dialogue Systems
+1
S
Swabha Swayamdipta

WiSE Gabilan Assistant Professor of Computer Science

Computer Science

University of Southern California

Explainable Artificial Intelligence (xai)
Multimodal Machine Learning Applications
Natural Language Processing Techniques
Text Readability and Simplification
+1
R
Ram Nevatia

Fletcher Jones Professor in Computer Science and Professor of Computer Science and Electrical and Computer Engineering

Computer Science

University of Southern California

Advanced Image and Video Retrieval Techniques
Domain Adaptation and Few-Shot Learning
Human Pose and Action Recognition
Multimodal Machine Learning Applications
+1
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
Programming Languages for Quantum Circuits
Programming Verification
Quantum Programming Languages
Type System Design for Quantum Computing
+6
D
Advanced Image and Video Retrieval Techniques
Human Pose and Action Recognition
Multimodal Machine Learning Applications
Video Analysis and Summarization
+1
C
Chenliang Xu

Associate Professor of Computer Science

Computer Science

University of Rochester

Algorithmic Fairness
Computer Vision
Multimodal AI
Video Understanding
+6
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
A
Adriana Kovashka

Associate Professor and Department Chair

Computer Science

University of Pittsburgh

Advanced Image and Video Retrieval Techniques
Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Human Pose and Action Recognition
+1
D
Domain Adaptation and Few-Shot Learning
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
T
Deep Learning
Information Extraction
Machine Learning
Natural Language Processing
+5
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
H
Domain Adaptation and Few-Shot Learning
Lung Cancer Treatments and Mutations
Multimodal Machine Learning Applications
Natural Language Processing Techniques
+1
D
Aerial Robotics
Educational Technologies
Human-Centered Computing (hcc)
Human-Computer Interaction (hci)
+11
M
3D/Multimodal Learning
Computer Vision
Human-Robot Interaction
Mechanical Design
+6
G
First-Person Vision
Human Behavior Modeling
Multi-Modal Deep Learning
Transfer Learning
+6
T
Clothing Recognition
Computer Vision
Gaze Pattern Analysis
Human-In-The Loop Recognition
+10
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