Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research interests include Advanced Image and Video Retrieval Techniques, Image Retrieval and Classification Techniques, Multimodal Machine Learning Applications, and Domain Adaptation and Few-Shot Learning.
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models
Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction
Spatial-Temporal Graph Convolutional Network for Video-Based Person Re-Identification
Context-Aware Multi-View Summarization Network for Image-Text Matching
NFATc1 Promotes Epithelial-Mesenchymal Transition and Facilitates Colorectal Cancer Metastasis by Targeting SNAI1
Adversarial Training Towards Robust Multimedia Recommender System
An End-to-End Architecture for Class-Incremental Object Detection with Knowledge Distillation
Social Anchor-Unit Graph Regularized Tensor Completion for Large-Scale Image Retagging
Multi-View Image Classification With Visual, Semantic and View Consistency
Zigzag Learning for Weakly Supervised Object Detection
Semi-supervised feature selection analysis with structured multi-view sparse regularization
Enhancing Micro-video Understanding by Harnessing External Sounds
Bundled Local Features for Image Representation
DisturbLabel: Regularizing CNN on the Loss Layer
Multiview Hessian Semisupervised Sparse Feature Selection for Multimedia Analysis
Recognizing human group action by layered model with multiple cues
Hierarchical Part Matching for Fine-Grained Visual Categorization
Super-Bit Locality-Sensitive Hashing
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