Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research interests include Advanced Image and Video Retrieval Techniques, Face and Expression Recognition, Multimodal Machine Learning Applications, and Face recognition and analysis.
Learning interpretable binary codes via semantic alignment for customized image retrieval
A Survey on Interpretability in Visual Recognition
Cross-modal alignment and contrastive learning for enhanced cancer survival prediction
Impact of gut microbiota dysbiosis on intestinal barrier integrity and systemic inflammation in a pre-eclampsia mouse model
Cross-Domain Few-Shot 3D Point Cloud Semantic Segmentation
Gut Microbiota Dysbiosis in Preeclampsia: Mechanisms, Biomarkers, and Probiotic‐Based Interventions
Dynamic Behavior Cloning With Temporal Feature Prediction: Enhancing Robotic Arm Manipulation in Moving Object Tasks
UniFa: A unified feature hallucination framework for any-shot object detection
FreeMask3D: Zero-Shot Point Cloud Instance Segmentation Without 3D Training
Generic Scene Graph Generation Model with Hierarchical Prompt Learning
Mind the Gap: Open Set Domain Adaptation via Mutual-to-Separate Framework
Introspective GAN: Learning to grow a GAN for incremental generation and classification
Event Graph Guided Compositional Spatial–Temporal Reasoning for Video Question Answering
Local context attention learning for fine-grained scene graph generation
Hierarchical image-to-image translation with nested distributions modeling
Calibration for Long-tailed Scene Graph Generation
Think Before Placement: Common Sense Enhanced Transformer for Object Placement
Data-efficient 3D instance segmentation by transferring knowledge from synthetic scans
HiFi-Score: Fine-Grained Image Description Evaluation with Hierarchical Parsing Graphs
RingMo: A Remote Sensing Foundation Model With Masked Image Modeling
CRIC: A VQA Dataset for Compositional Reasoning on Vision and Commonsense
Importance First: Generating Scene Graph of Human Interest
Hierarchical disentangling network for object representation learning
FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery
CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions
Rethinking class orders and transferability in class incremental learning
An Unsupervised Multi-Shot Person Re-Identification Method via Mutual Normalized Sparse Representation and Stepwise Learning