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James Okae
Department of Computer EngineeringPhysical Sciences

James Okae

11 Publications5 Research Themes3 Open Access
KNUST Profile
Research Overview & Focus

This researcher has made significant contributions to the field of vision-based systems, advancing the integration of advanced computational techniques into real-world applications across diverse domains. Their work focuses on developing innovative methods for stereo matching and depth estimation, with a particular emphasis on leveraging mutual interaction principles for robust system performance. The researcher's research is characterized by its interdisciplinary approach, merging concepts from computer vision, robotics, and energy management to address challenges in smart grid optimization and image processing.

Key Research Themes (5)
Physical Sciences

Advanced Vision and Imaging

Physical Sciences

Image Enhancement Techniques

Physical Sciences

Image Processing Techniques and Applications

Physical Sciences

Infrared Target Detection Methodologies

Physical Sciences

Smart Grid Energy Management

Publications (11)

DMCNet: Toward Lightweight Volumetric Stereo Matching

2024Advanced Vision and ImagingDOI: 10.1109/jsen.2024.3368028

Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion

Open Access
2023Advanced Vision and ImagingDOI: 10.48550/arxiv.2303.13959

Robust Stereo Matching Using Discriminative Multilevel Features and Multimodal Bifurcated Cost Volume Network

2023Advanced Vision and ImagingDOI: 10.1109/jsen.2023.3246960

Improved stereo matching framework with embedded multilevel attention

2022Advanced Vision and ImagingDOI: 10.1117/1.jei.31.3.033037

Concealed multiscale feature extraction network for automatic four-bar target detection in infrared imaging

2022Infrared Target Detection MethodologiesDOI: 10.1117/1.oe.61.6.063104

Robust Scale-Aware Stereo Matching Network

2021Advanced Vision and ImagingDOI: 10.1109/tai.2021.3115401

Robust statistical approach to stereo disparity maps denoising and refinement

2020Advanced Vision and ImagingDOI: 10.1007/s11768-020-00014-y

A novel depth estimation approach based on bidirectional matching for stereo vision systems

2020Advanced Vision and ImagingDOI: 10.1080/01691864.2020.1803127

A Novel Method for Night-Time Single Image Dehazing

Open Access
2019Image Enhancement TechniquesDOI: 10.4236/jcc.2019.711006

Optimization of stereo vision depth estimation using edge-based disparity map

2017Image Processing Techniques and Applications

The Design and Realization of Smart Energy Management System based on Supply-Demand Coordination

Open Access
2017Smart Grid Energy ManagementDOI: 10.1016/j.ifacol.2017.08.033
Academic Metrics
DepartmentDepartment of Computer Engineering
Total Publications11
Research Themes5
Open Access Papers3

Department of Computer Engineering

Kwame Nkrumah University of Science and Technology

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