Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research interests include Advanced Neural Network Applications, Advanced Image and Video Retrieval Techniques, Domain Adaptation and Few-Shot Learning, and Advanced Vision and Imaging.
Delving Into the Devils of Bird’s-Eye-View Perception: A Review, Evaluation and Recipe
Context-Aware Mixup for Domain Adaptive Semantic Segmentation
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
Robust Self-Supervised LiDAR Odometry Via Representative Structure Discovery and 3D Inherent Error Modeling
DSNAS: Direct Neural Architecture Search Without Parameter Retraining
Graph-Guided Architecture Search for Real-Time Semantic Segmentation
Outdoor RGBD Instance Segmentation With Residual Regretting Learning
Libra R-CNN: Towards Balanced Learning for Object Detection
Hybrid Task Cascade for Instance Segmentation
Towards Instance-Level Image-To-Image Translation
Factorizable Net: An Efficient Subgraph-Based Framework for Scene Graph Generation