Jakeoung Koo

According to our database, Jakeoung Koo authored at least 18 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Graph Attention-Driven Bayesian Deep Unrolling for Dual-Peak Single-Photon Lidar Imaging.

Kyungmin Choi, Jakeoung Koo, Steve McLaughlin, Abderrahim Halimi

CoRR, April, 2025

Efficient Deepfake Detection via Layer-Frozen Assisted Dual Attention Network for Consumer Imaging Devices.

Muhammad Talha Usman, Habib Khan, Sushil Kumar Singh, Mi Young Lee, JaKeoung Koo

IEEE Trans. Consumer Electron., February, 2025

Bilateral Feature Fusion with hexagonal attention for robust saliency detection under uncertain environments.

Habib Khan, Muhammad Talha Usman, Jakeoung Koo

Inf. Fusion, 2025

Lightweight transformer-driven multi-scale trapezoidal attention network for saliency detection.

Muhammad Talha Usman, Habib Khan, Imad Rida, Jakeoung Koo

Eng. Appl. Artif. Intell., 2025

2024

Visionary vigilance: Optimized YOLOV8 for fallen person detection with large-scale benchmark dataset.

Habib Khan, Inam Ullah, Mohammad Shabaz, Muhammad Faizan Omer, Muhammad Talha Usman, Mohammed Seghir Guellil, Jakeoung Koo

Image Vis. Comput., 2024

Attention enhanced machine instinctive vision with human-inspired saliency detection.

Habib Khan, Muhammad Talha Usman, Imad Rida, Jakeoung Koo

Image Vis. Comput., 2024

Bayesian Deep Unfolding with Graph Attention for Dual-Peak Single-Photon Lidar Imaging.

Jakeoung Koo, Abderrahim Halimi, Stephen McLaughlin

Proceedings of the 32nd European Signal Processing Conference, 2024

2022

A Bayesian Based Deep Unrolling Algorithm for Single-Photon Lidar Systems.

Jakeoung Koo, Abderrahim Halimi, Stephen McLaughlin

IEEE J. Sel. Top. Signal Process., 2022

Robust Bayesian Reconstruction of Multispectral Single-Photon 3D Lidar Data with Non-Uniform Background.

Abderrahim Halimi, Jakeoung Koo, Robert A. Lamb, Gerald S. Buller, Steve McLaughlin

Proceedings of the IEEE International Conference on Acoustics, 2022

A Bayesian Based Unrolling Approach to Single-Photon Lidar Imaging through Obscurants.

Jakeoung Koo, Abderrahim Halimi, Aurora Maccarone, Gerald S. Buller, Stephen McLaughlin

Proceedings of the 30th European Signal Processing Conference, 2022

2021

DALM, Deformable Attenuation-Labeled Mesh for Tomographic Reconstruction and Segmentation.

Ja-Keoung Koo, Anders Bjorholm Dahl, Vedrana Andersen Dahl

IEEE Trans. Computational Imaging, 2021

A Tomographic Reconstruction Method using Coordinate-based Neural Network with Spatial Regularization.

Ja-Keoung Koo, Elise Otterlei Brenne, Anders Bjorholm Dahl, Vedrana Andersen Dahl

Proceedings of the 2021 Northern Lights Deep Learning Workshop, 2021

2020

Adaptive Regularization of Some Inverse Problems in Image Analysis.

Byung-Woo Hong, Ja-Keoung Koo, Martin Burger, Stefano Soatto

IEEE Trans. Image Process., 2020

Shape from Projections via Differentiable Forward Projector.

Ja-Keoung Koo, Qiongyang Chen, Jakob Andreas Bærentzen, Anders B. Dahl, Vedrana Andersen Dahl

CoRR, 2020

2017

Multi-Label Segmentation via Residual-Driven Adaptive Regularization.

Byung-Woo Hong, Ja-Keoung Koo, Stefano Soatto

CoRR, 2017

Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems.

Byung-Woo Hong, Ja-Keoung Koo, Hendrik Dirks, Martin Burger

Proceedings of the Pattern Recognition - 39th German Conference, 2017

2016

Adaptive Parameter Balancing for Composite Optimization Problems in Imaging.

Byung-Woo Hong, Ja-Keoung Koo, Hendrik Dirks, Martin Burger

CoRR, 2016

2015

Joint estimation of motion and illumination change in a sequence of images.

Ja-Keoung Koo, Hyo-Hun Kim, Byung-Woo Hong

J. Electronic Imaging, 2015