53 citations · 122 across the 13 of their papers we have counts for
25 papers
DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-scale Consistency
Zongxin Yang, Xin Yu, Yi Yang
Compared to 2D object bounding-box labeling, it is very difficult for humans to annotate 3D object poses, especially when depth images of scenes are unavailable. This paper investi…
Self-Supervised Visibility Learning for Novel View Synthesis
Yujiao Shi, Hongdong Li, Xin Yu
We address the problem of novel view synthesis (NVS) from a few sparse source view images. Conventional image-based rendering methods estimate scene geometry and synthesize novel v…
ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring
Dongxu Li, Chenchen Xu, Kaihao Zhang +5
Video deblurring models exploit consecutive frames to remove blurs from camera shakes and object motions. In order to utilize neighboring sharp patches, typical methods rely mainly…
Modeling the Probabilistic Distribution of Unlabeled Data forOne-shot Medical Image Segmentation
Yuhang Ding, Xin Yu, Yi Yang
Existing image segmentation networks mainly leverage large-scale labeled datasets to attain high accuracy. However, labeling medical images is very expensive since it requires soph…
Iterative Optimisation with an Innovation CNN for Pose Refinement
Gerard Kennedy, Zheyu Zhuang, Xin Yu +1
Object pose estimation from a single RGB image is a challenging problem due to variable lighting conditions and viewpoint changes. The most accurate pose estimation networks implem…
Uncertainty-Aware Deep Calibrated Salient Object Detection
Jing Zhang, Yuchao Dai, Xin Yu +3
Existing deep neural network based salient object detection (SOD) methods mainly focus on pursuing high network accuracy. However, those methods overlook the gap between network ac…