Publications (11)
Few-Data Guided Learning Upon End-to-End Point Cloud Network for 3D Face Recognition
Yi Yu, Feipeng Da, Ziyu Zhang
3D face recognition has shown its potential in many application scenarios. Among numerous 3D face recognition methods, deep-learning-based methods have developed vigorously in rece…
Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection
Yi Yu, Xue Yang, Yansheng Li +3
Accurately estimating the orientation of visual objects with compact rotated bounding boxes (RBoxes) has become a prominent demand, which challenges existing object detection parad…
DMDC: Dynamic-mask-based dual camera design for snapshot Hyperspectral Imaging
Zeyu Cai, Chengqian Jin, Feipeng Da
Deep learning methods are developing rapidly in coded aperture snapshot spectral imaging (CASSI). The number of parameters and FLOPs of existing state-of-the-art methods (SOTA) con…
Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision
Yi Yu, Xue Yang, Qingyun Li +4
With the rapidly increasing demand for oriented object detection (OOD), recent research involving weakly-supervised detectors for learning rotated box (RBox) from the horizontal bo…
MLP-AMDC: An MLP Architecture for Adaptive-Mask-based Dual-Camera snapshot hyperspectral imaging
Zeyu Cai, Can Zhang, Xunhao Chen +3
Coded Aperture Snapshot Spectral Imaging (CASSI) system has great advantages over traditional methods in dynamically acquiring Hyper-Spectral Image (HSI), but there are the followi…
Parallax-Tolerant Image Stitching with Epipolar Displacement Field
Jian Yu, Feipeng Da
Image stitching with parallax is still a challenging task. Existing methods often struggle to maintain both the local and global structures of the image while reducing alignment ar…