Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research focused on Artificial intelligence and Pooling, with related work in Discriminative model, Embedding, Maximization. Notable publications include 'Multi-modal Factorized Bilinear Pooling with Co-attention Learning for Visual Question Answering', 'Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering', and 'Leveraging Content Sensitiveness and User Trustworthiness to Recommend Fine-Grained Privacy Settings for Social Image Sharing'.
Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment
Three-step action search networks with deep Q-learning for real-time object tracking
A neighbour scale fixed approach for influence maximization in social networks
A Novel Machine Learning Method Based Approach for Li-Ion Battery Prognostic and Health Management
A generalized least-squares approach regularized with graph embedding for dimensionality reduction
Deep Spatial and Temporal Network for Robust Visual Object Tracking
Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering
Leveraging Content Sensitiveness and User Trustworthiness to Recommend Fine-Grained Privacy Settings for Social Image Sharing
Integrating multi-level deep learning and concept ontology for large-scale visual recognition
Multi-modal Factorized Bilinear Pooling with Co-attention Learning for Visual Question Answering