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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
CAMG: Context-Aware Moment Graph Network for Multimodal Temporal Activity Localization via Language
Temporal Activity Localization via Language (TALL) is a challenging task for language based video understanding, especially when a video contains multiple moments of interest and the language query has words d...
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Chapter and Conference Paper
A Differential Privacy Mechanism for Deceiving Cyber Attacks in IoT Networks
Protecting Internet of Things (IoT) network from private data breach is a grand challenge. Data breach may occur when networks’ statistical information is disclosed due to network scanning or data stored on th...
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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...
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Chapter and Conference Paper
Unsupervised Deep Features for Privacy Image Classification
Sharing images online poses security threats to a wide range of users due to the unawareness of privacy information. Deep features have been demonstrated to be a powerful representation for images. However, d...