Area of research
Computer Vision and Pattern Recognition
Research interest
Research interests include Video Surveillance and Tracking Methods, Advanced Image and Video Retrieval Techniques, Human Pose and Action Recognition, and Multimodal Machine Learning Applications.
Medical artificial intelligence for early detection of lung cancer: A survey
A Deep Semantic Segmentation Network With Semantic and Contextual Refinements
Towards Robust Category-level Articulation Pose Estimation via Integrated Differentiable Rendering
EntroFormer: An entropy-based sparse vision transformer for real-time semantic segmentation
Unlocking Generalization Power in LiDAR Point Cloud Registration
Deformation Field Fusion for Medical Image Registration
Pruning All-Rounder: Rethinking and Improving Inference Efficiency for Large Vision Language Models
Utterance-level Emotion Recognition in Conversation with Conversation-level Supervision
Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models
A Temporal Modeling Framework for Video Pre-Training on Video Instance Segmentation
Blended Latent Diffusion Under Attention Control for Real-World Video Editing
Contrastive Multitask Transformer for Hospital Mortality and Length-of-Stay Prediction
CTVIS: Consistent Training for Online Video Instance Segmentation
Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification
Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval
Contrastive pre-training and linear interaction attention-based transformer for universal medical reports generation
Jacobian norm with Selective Input Gradient Regularization for interpretable adversarial defense
Image Template Matching via Dense and Consistent Contrastive Learning
T-Person-Gan: Text-to-Person Image Generation with Identity-Consistency and Manifold Mix-Up
Jacobian Norm with Selective Input Gradient Regularization for Improved and Interpretable Adversarial Defense
T-Person-Gan: Text-to-Person Image Generation with Identity-Consistency and Manifold Mix-Up
Association of intensive management on quality of nursing with the infection rate in the operating room
Paradise: Real-Time, Generalized, and Distributed Provenance-Based Intrusion Detection
Novel controller design for finite-time synchronization of fractional-order memristive neural networks
Face reenactment via generative landmark guidance
Face Reenactment with Generative Landmark Guidance
Artificial intelligence quantified tumour-stroma ratio is an independent predictor for overall survival in resectable colorectal cancer
Multiparametric MRI and Whole Slide Image-Based Pretreatment Prediction of Pathological Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer: A Multicenter Radiopathomic Study
Serum Amyloid A Proteins Induce Pathogenic Th17 Cells and Promote Inflammatory Disease
Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification