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Chapter and Conference Paper
ODCN: Optimized Dilated Convolution Network for 3D Shape Segmentation
3D shape segmentation is a vital and fundamental issue in 3D shape analysis tasks, and the multi-view paradigm is one of practical approaches to solve it. The typical multi-view paradigm contains an image-base...
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Chapter and Conference Paper
Level Set Image Segmentation Based on Non-independent and Identically Distributed
Aiming at the problems of traditional image segmentation methods such as single image type and falling into false boundary, a level set image segmentation algorithm based on non-independent and identically dis...
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Article
Emotion information visualization through learning of 3D morphable face model
Analysis and visualization of human facial expressions and its applications are useful but challenging. This paper presents a novel approach to analyze the facial expressions from images through learning of a ...
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Article
SORCNet: robust non-rigid shape correspondence with enhanced descriptors by Shared Optimized Res-CapsuleNet
3D non-rigid shape correspondence, as an important research topic in 3D shape analysis, is useful but challenging in computer graphics, computer vision, and pattern recognition. Despite recent success of sever...
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Article
Multitask learning for image translation and salient object detection from multimodal remote sensing images
This paper presents a novel and efficient multitask learning framework for image translation and saliency detection from remote sensing images, which mainly contains the image translation network-weight sharin...
