Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Artificial intelligence, Computer science, Segmentation, Computer vision, Exploit, and Convolutional neural network.
Single-View 3D Mesh Reconstruction for Seen and Unseen Categories
Semantic Consistent Embedding for Domain Adaptive Zero-Shot Learning
Contrastive Generative Network with Recursive-Loop for 3D point cloud generalized zero-shot classification
Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation
Progressive Self-Guided Loss for Salient Object Detection
Self-supervised 3D Skeleton Action Representation Learning with Motion Consistency and Continuity
Video Object Segmentation and Tracking
A Dilated Inception Network for Visual Saliency Prediction
MoNet: Deep Motion Exploitation for Video Object Segmentation
Learning Markov Clustering Networks for Scene Text Detection