Professor Shyh Wei Teng
Deputy Dean, Institute of Innovation, Science and Sustainability
A survey on evaluation of blockchain-based agricultural traceability
Automatic Malleefowl Mound Detection Using LiDAR-based Ground and Habitat Features with Planar Terrain Modelling
Crop monitoring by multimodal remote sensing: A review
Thank you for attention: A survey on attention-based artificial neural networks for automatic speech recognition
Unveiling Soil-Vegetation Interactions: Reflection Relationships and an Attention-Based Deep Learning Approach for Carbon Estimation
Anti-aliasing deep image classifiers using novel depth adaptive blurring and activation function
A Robust Local Texture Descriptor in the Parametric Space of the Weibull Distribution
Comparative Analysis of Machine and Deep Learning Models for Soil Properties Prediction from Hyperspectral Visual Band
MCSNet+: Enhanced Convolutional Neural Network for Detection and Classification of Tribolium and Sitophilus Sibling Species in Actual Wheat Storage Environments
Auto-identification of two Sitophilus sibling species on stored wheat using deep convolutional neural network
Bidirectional Mapping Coupled GAN for Generalized Zero-Shot Learning
Human pose based video compression via forward-referencing using deep learning
Integrated generalized zero-shot learning for fine-grained classification
Soil Moisture, Organic Carbon, and Nitrogen Content Prediction with Hyperspectral Data Using Regression Models
Adversarial Network with Multiple Classifiers for Open Set Domain Adaptation
A novel fusion approach in the extraction of kernel descriptor with improved effectiveness and efficiency
Image representation using feature descriptors is crucial. A number of histogram-based...
Integrating Line Weber Local Descriptor and Deep Feature for Tire Indentation Mark Image Classification
Rice Freshness Identification Based on Visible Near-Infrared Spectroscopy and Colorimetric Sensor Array
In this work, two methods, which were visible near-infrared spectroscopy (VNIRS) and visible...
Robust Image Classification Using a Low-Pass Activation Function and DCT Augmentation
An Enhanced Local Texture Descriptor for Image Segmentation
Texture is an indispensable property to develop many vision based autonomous applications....
An Enhancement to the Spatial Pyramid Matching for Image Classification and Retrieval
Spatial pyramid matching (SPM) is one of the widely used methods to incorporate spatial...
Learning large margin multiple granularity features with an improved siamese network for person re-identification
Network representation learning: From traditional feature learning to deep learning
Network representation learning (NRL) is an effective graph analytics technique and promotes...
Rectified Softmax Loss with All-Sided Cost Sensitivity for Age Estimation
In Convolutional Neural Network (ConvNet) based age estimation algorithms, softmax loss is...
BackNet: An Enhanced Backbone Network for Accurate Detection of Objects with Large Scale Variations
Deep Convolutional Neural Networks (CNNs) have induced significant progress in the field of...
Distortion Robust Image Classification Using Deep Convolutional Neural Network with Discrete Cosine Transform
Convolutional Neural Networks are highly effective for image classification. However, it is still...
Enhanced Transfer Learning with ImageNet Trained Classification Layer
Parameter fine tuning is a transfer learning approach whereby learned parameters from pre-trained...
Hierarchical Colour Image Segmentation by Leveraging RGB Channels Independently
In this paper, we introduce a hierarchical colour image segmentation based on cuboid partitioning...
Improved Image Analysis Methodology for Detecting Changes in Evidence Positioning at Crime Scenes
This paper proposed an improved methodology to assist forensic investigators in detecting...
A detector of structural similarity for multi-modal microscopic image registration
This paper presents a Detector of Structural Similarity (DSS) to minimize the visual differences...
A Kernel-Based Approach for Content-Based Image Retrieval
Content-based image retrieval (CBIR)is a popular approach to retrieve images based on a query. In...
A Novel Perceptual Dissimilarity Measure for Image Retrieval
Similarity measure is an important research topic in image classification and retrieval. Given a...
COREG: a corner based registration technique for multimodal images
This paper presents a COrner based REGistration technique for multimodal images (referred to as...
Cuboid Colour Image Segmentation using Intuitive Distance Measure
In this paper, an improved algorithm for cuboid image segmentation is proposed. To address the...
Enhanced Colour Image Retrieval with Cuboid Segmentation
In this paper, we further investigate our recently proposed cuboid image segmentation algorithm...
Enhancing image registration performance by incorporating distribution and spatial distance of local descriptors
A data dependency similarity measure called mp-dissimilarity has been recently proposed. Unlike...
Enhancing the Effectiveness of Local Descriptor Based Image Matching
Image registration has received great attention from researchers over the last few decades. SIFT...
Image Clustering Using a Similarity Measure Incorporating Human Perception
Clustering similar images is an important task in image processing and computer vision. It...
A Hybrid Data Dependent Dissimilarity Measure for Image Retrieval
In image retrieval, an effective dissimilarity (or similarity) measure is required to retrieve...
Cuboid Segmentation for Effective Image Retrieval
Region-based image retrieval has been proven to be effective in finding relevant images. In this...
Improved Kernel Descriptors for Effective and Efficient Image Classification
Kernel descriptors have been proven to outperform existing histogram based local descriptors as...
Improved Tamura Features for Image Classification Using Kernel Based Descriptors
Tamura features are based on human visual perception and have huge potential in image...
A New Building Mask Using the Gradient of Heights for Automatic Building Extraction
A number of building detection methods have been proposed in the literature. However, they are...
A Robust Gradient Based Method for Building Extraction from LiDAR and Photogrammetric Imagery
Existing automatic building extraction methods are not effective in extracting buildings which...
Combining Pyramid Match Kernel and Spatial Pyramid for Image Classification
This paper proposes a new approach for image classification by combining pyramid match...
Enhancing SIFT-based image registration performance by building and selecting highly discriminating descriptors
In this paper we will investigate the gradient utilization in building SIFT ( Scale Invariant...
Extracting road centrelines from binary road images by optimizing geodesic lines
Binary road images can be obtained from remotely sensed images with the aid of classification and...
A novel multi-modal image registration method based on corners
Effective and efficient contour-based corner detectors
Corner detection is an essential operation in many computer vision applications. Among the...
Multimodal image registration technique based on improved local feature descriptors
Multimodal image registration has received significant research attention over the past decade,...
Rotation Invariant Spatial Pyramid Matching for Image Classification
Automatic extraction of buildings in an urban region
An improved building detection in complex sites using the LIDAR height variation and point density
Detection of structural similarity for multimodal microscopic image registration
Maximizing structural similarity in multimodal biomedical microscopic images for effective registration
Achieving high multi-modal registration performance using simplified Hough-transform with improved symmetric-SIFT
An effective method of estimating scale-invariant interest region for representing corner features
A general stochastic clustering method for automatic cluster discovery
Finding clusters in data is a challenging problem. Given a dataset, we usually do not know the...
An effective and efficient contour-based corner detector using simple triangular theory
Clustering gene expression data using ant-based heuristics
Feature-subspace aggregating: ensembles for stable and unstable learners
This paper introduces a new ensemble approach, Feature-Subspace Aggregating (Feating), which...
Improved symmetric-SIFT for Multi-modal image registration
Improving SIFT's performance by incorporating appropriate gradient information
Simplifying and improving ant-based clustering
Texture classification using multimodal invariant Local binary pattern
A comparative study of a practical stochastic clustering method with traditional methods
In many real-world clustering problems, there usually exist little information about the clusters...
An enhancement to SIFT-based techniques for image registration
Image registration using modified local ternary pattern
PTP1B regulates Eph receptor function and trafficking
Degree of differential prioritization
FaSS: Ensembles for stable learners
A study on the importance of differential prioritization in feature selection using toy datasets
Issues of grid-cluster retrievals in swarm-based clustering
Characteristics of predictor sets found using differential prioritization
Background: Feature selection plays an undeniably important role in classification problems...
Examining dissimilarity scaling in ant colony approaches to data clustering
In this paper, we provide the reasons why the dissimilarity-scaling parameter (α) in the...
Image indexing and retrieval based on vector quantization
To effectively utilize information stored in a digital image library, effective image indexing...
Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass gene expression data
Background: Due to the large number of genes in a typical microarray dataset, feature selection...
Investigating the class-specific relevance of predictor sets obtained from DDP-based feature selection technique
Feature selection is crucial to tumor classification due to the high dimensionality of microarray...
Comparison of retrieval effectiveness of colour-based techniques on MPEG-7 common colour dataset
Effects of codebook sizes, codeword dimensions, and colour spaces on retrieval performance of image retrieval using vector quantization
An evaluation of the robustness of image retrieval based on vector quantization