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)

Adaptive Parameter Balancing for Composite Optimization Problems in Imaging. - Byung-Woo Hong; Ja-Keoung Koo; Hendrik Dirks; Martin Burger 001 (CoRR, 2016)

Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems. - Byung-Woo Hong; Ja-Keoung Koo; Hendrik Dirks; Martin Burger 001 (GCPR, 2017)

Multi-Label Segmentation via Residual-Driven Adaptive Regularization. - Byung-Woo Hong; Ja-Keoung Koo; Stefano Soatto (CoRR, 2017)

Shape from Projections via Differentiable Forward Projector. - Ja-Keoung Koo; Qiongyang Chen; Jakob Andreas Bærentzen; Anders B. Dahl; Vedrana Andersen Dahl (CoRR, 2020)

Adaptive Regularization of Some Inverse Problems in Image Analysis. - Byung-Woo Hong; Ja-Keoung Koo; Martin Burger 001; Stefano Soatto (IEEE Trans. Image Process., 2020)

A Tomographic Reconstruction Method using Coordinate-based Neural Network with Spatial Regularization. - Ja-Keoung Koo; Elise Otterlei Brenne; Anders Bjorholm Dahl; Vedrana Andersen Dahl (NLDL, 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 Bayesian Based Unrolling Approach to Single-Photon Lidar Imaging through Obscurants. - Jakeoung Koo; Abderrahim Halimi; Aurora Maccarone; Gerald S. Buller; Stephen McLaughlin 001 (EUSIPCO, 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 001 (ICASSP, 2022)

A Bayesian Based Deep Unrolling Algorithm for Single-Photon Lidar Systems. - Jakeoung Koo; Abderrahim Halimi; Stephen McLaughlin 001 (IEEE J. Sel. Top. Signal Process., 2022)

Bayesian Deep Unfolding with Graph Attention for Dual-Peak Single-Photon Lidar Imaging. - Jakeoung Koo; Abderrahim Halimi; Stephen McLaughlin 001 (EUSIPCO, 2024)

Attention enhanced machine instinctive vision with human-inspired saliency detection. - Habib Khan; Muhammad Talha Usman; Imad Rida; Jakeoung Koo (Image Vis. Comput., 2024)

Visionary vigilance: Optimized YOLOV8 for fallen person detection with large-scale benchmark dataset. - Habib Khan; Inam Ullah 001; Mohammad Shabaz; Muhammad Faizan Omer; Muhammad Talha Usman; Mohammed Seghir Guellil; Jakeoung Koo (Image Vis. Comput., 2024)

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)

Bilateral Feature Fusion with hexagonal attention for robust saliency detection under uncertain environments. - Habib Khan; Muhammad Talha Usman; Jakeoung Koo (Inf. Fusion, 2025)

Efficient Deepfake Detection via Layer-Frozen Assisted Dual Attention Network for Consumer Imaging Devices. - Muhammad Talha Usman; Habib Khan; Sushil Kumar Singh 004; Mi Young Lee; JaKeoung Koo (IEEE Trans. Consumer Electron., 2025)

Graph Attention-Driven Bayesian Deep Unrolling for Dual-Peak Single-Photon Lidar Imaging. - Kyungmin Choi; Jakeoung Koo; Steve McLaughlin 001; Abderrahim Halimi (CoRR, 2025)