Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research interests include Computer science, Artificial intelligence, Segmentation, Benchmark (surveying), Facial expression, and Pattern recognition (psychology).
ClipSAM: CLIP and SAM collaboration for zero-shot anomaly segmentation
Vote2Cap-DETR++: Decoupling Localization and Describing for End-to-End 3D Dense Captioning
Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image Classification
Executing your Commands via Motion Diffusion in Latent Space
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation
End-to-End 3D Dense Captioning with Vote2Cap-DETR
DCNet: Large-Scale Point Cloud Semantic Segmentation With Discriminative and Efficient Feature Aggregation
Uni3D: A Unified Baseline for Multi-Dataset 3D Object Detection
Automatic Loss Function Search for Adversarial Unsupervised Domain Adaptation
Performance-Aware Approximation of Global Channel Pruning for Multitask CNNs
A Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction
Pull & Push: Leveraging Differential Knowledge Distillation for Efficient Unsupervised Anomaly Detection and Localization
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification
An Efficient Multi-Task Network for Pedestrian Intrusion Detection
What Makes for Effective Few-shot Point Cloud Classification?
Curriculum-Style Local-to-Global Adaptation for Cross-Domain Remote Sensing Image Segmentation
SC-EADNet: A Self-Supervised Contrastive Efficient Asymmetric Dilated Network for Hyperspectral Image Classification
Transistor Compact Model Based on Multigradient Neural Network and Its Application in SPICE Circuit Simulations for Gate-All-Around Si Cold Source FETs
An epidermal sEMG tattoo-like patch as a new human–machine interface for patients with loss of voice
Cascade EF-GAN: Progressive Facial Expression Editing With Local Focuses
M$^3$Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening From CT Imaging
Fine-grained facial expression analysis using dimensional emotion model