Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research interests include Video Analysis and Summarization, Advanced Image and Video Retrieval Techniques, Image Retrieval and Classification Techniques, and Anomaly Detection Techniques and Applications.
Adaptive Joint Spatio-Temporal Graph Learning Network for Traffic Data Forecasting
Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster
Multimedia Research Toward the Metaverse
A Survey on Data-driven COVID-19 and Future Pandemic Management
A Survey on Data-driven COVID-19 and Future Pandemic Management
Deep Learning With Weak Supervision for Disaster Scene Description in Low-Altitude Imagery
Florida public hurricane loss model: Software system for insurance loss projection
Digital Assets and Blockchain-Based Multimedia Data Management
Multimedia Meets Deep Reinforcement Learning
Passing the Torch—Continue Moving Forward
Deep Learning With Weak Supervision for Disaster Scene Description in Low-Altitude Imagery
Generalized Structure for Adaptable Immersive Learning Environments
Multimedia in Virtual Reality and Augmented Reality
Embracing Multimodal Data in Multimedia Data Analysis
Multimedia Research for Response and Management of COVID-19 and Future Pandemics
Multimedia Data Analysis With Edge Computing
Evolutionary Programming Based Deep Learning Feature Selection and Network Construction for Visual Data Classification
Challenges in Energy-Efficient Deep Neural Network Training with FPGA
Confidence Estimation Using Machine Learning in Immersive Learning Environments
Unconstrained Flood Event Detection Using Adversarial Data Augmentation
A Power Efficient Neural Network Implementation on Heterogeneous FPGA and GPU Devices
Multimedia for Autonomous Driving
Genetic Algorithm Based Deep Learning Model Selection for Visual Data Classification
Is Artificial Intelligence New to Multimedia?
A Survey on Deep Learning
Multimedia Big Data Analytics
Dynamic Sampling in Convolutional Neural Networks for Imbalanced Data Classification
Multimodal deep representation learning for video classification
Multimodal deep learning based on multiple correspondence analysis for disaster management
SCC-IRG JST: Multimodal Data Analytics and Integration for Effective COVID-19, Pandemics and Compound Disaster Response and Management
SCC-IRG JST: Multimodal Data Analytics and Integration for Effective COVID-19, Pandemics and Compound Disaster Response and Management
Island Population Responses to Environmental Stresses
SCC-PG: JST: Multimodal Data Analytics and Integration for Emergency Response and Disaster Management
Conference: Puerto Rico Honey Bee and Evolution of Invasive Organisms on Islands; August 13-15, 2019; San Juan, Puerto Rico
BDD: Data-Driven Critical Information Exchange in Disaster Affected Public-Private Networks