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Chapter and Conference Paper
TopFormer: Topology-Aware Transformer for Point Cloud Registration
The extraction of robust feature descriptors is crucial for achieving accurate point cloud registration. While the attention mechanism plays an important role in enabling sparse point features to learn global ...
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Chapter and Conference Paper
Anatomical Landmarks Localization for 3D Foot Point Clouds
3D anatomical landmarks play an important role in health research. Their automated prediction/localization thus becomes a vital task. In this paper, we introduce a deformation method for 3D anatomical landmark...
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Chapter and Conference Paper
A Cascaded Approach for Keyframes Extraction from Videos
Keyframes extraction, a fundamental problem in video processing and analysis, has remained a challenge to date. In this paper, we introduce a novel method to effectively extract keyframes of a video. It consis...
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Chapter and Conference Paper
Deep Detection for Face Manipulation
It has become increasingly challenging to distinguish real faces from their visually realistic fake counterparts, due to the great advances of deep learning based face manipulation techniques in recent years. ...
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Chapter and Conference Paper
Deep Patch-Based Human Segmentation
3D human segmentation has seen noticeable progress in recent years. It, however, still remains a challenge to date. In this paper, we introduce a deep patch-based method for 3D human segmentation. We first ext...
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Chapter and Conference Paper
Tag-Based Semantic Features for Scene Image Classification
The existing image feature extraction methods are primarily based on the content and structure information of images, and rarely consider the contextual semantic information. Regarding some types of images suc...