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Article
Active site remodelling accompanies thioester bond formation in the SUMO E1
E1 enzymes activate ubiquitin (Ub) and ubiquitin-like (Ubl) proteins in two steps by carboxy-terminal adenylation and thioester bond formation to a conserved catalytic cysteine in the E1 Cys domain. The struct...
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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...
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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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Article
Open AccessG2MF-WA: Geometric multi-model fitting with weakly annotated data
In this paper we address the problem of geometric multi-model fitting using a few weakly annotated data points, which has been little studied so far. In weak annotating (WA), most manual annotations are suppos...
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Article
Open AccessApplication of evolutionary and swarm optimization in computer vision: a literature survey
Evolutionary algorithms (EAs) and swarm algorithms (SAs) have shown their usefulness in solving combinatorial and NP-hard optimization problems in various research fields. However, in the field of computer vis...
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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
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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Article
Open AccessTowards uniform point distribution in feature-preserving point cloud filtering
While a popular representation of 3D data, point clouds may contain noise and need filtering before use. Existing point cloud filtering methods either cannot preserve sharp features or result in uneven point d...
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Article
Unsupervised contrastive learning with simple transformation for 3D point cloud data
Though a number of point cloud learning methods have been proposed to handle unordered points, most of them are supervised and require labels for training. By contrast, unsupervised learning of point cloud dat...
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Article
Segmentation-driven feature-preserving mesh denoising
Feature-preserving mesh denoising has received noticeable attention in visual media, with the aim of recovering high-fidelity, clean mesh shapes from the ones that are contaminated by noise. Existing denoising...
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Article
Open Access3D face recognition: A comprehensive survey in 2022
In the past ten years, research on face recognition has shifted to using 3D facial surfaces, as 3D geometric information provides more discriminative features. This comprehensive survey reviews 3D face recogni...
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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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Article
Open AccessSingle-stage object detector with attention mechanism for squamous cell carcinoma feature detection using histopathological images
Squamous cell carcinoma is the most common type of cancer that occurs in squamous cells of epithelial tissue. Histopathological evaluation of tissue samples is the gold standard approach used for carcinoma dia...
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Article
Veintr: robust end-to-end full-hand vein identification with transformer
Hand vein identification stands out to be an increasingly popular approach for biometric identification due to its distinctiveness and convenience. While state-of-the-art techniques are able to achieve good pe...
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Article
Open AccessNoise4Denoise: Leveraging noise for unsupervised point cloud denoising
Existing deep learning-based point cloud denoising methods are generally trained in a supervised manner that requires clean data as ground-truth labels. However, in practice, it is not always feasible to obtai...
