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Jakeoung Koo
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2020 – today
- 2025
- [j9]Muhammad Talha Usman
, Habib Khan
Lightweight transformer-driven multi-scale trapezoidal attention network for saliency detection. Eng. Appl. Artif. Intell. 155: 110917 (2025) - [j8]Habib Khan
Bilateral Feature Fusion with hexagonal attention for robust saliency detection under uncertain environments. Inf. Fusion 121: 103165 (2025) - [j7]Muhammad Talha Usman
Efficient Deepfake Detection via Layer-Frozen Assisted Dual Attention Network for Consumer Imaging Devices. IEEE Trans. Consumer Electron. 71(1): 281-291 (2025) - [i6]Kyungmin Choi, Jakeoung Koo, Steve McLaughlin, Abderrahim Halimi:
Graph Attention-Driven Bayesian Deep Unrolling for Dual-Peak Single-Photon Lidar Imaging. CoRR abs/2504.02480 (2025) - 2024
- [j6]Habib Khan
Visionary vigilance: Optimized YOLOV8 for fallen person detection with large-scale benchmark dataset. Image Vis. Comput. 149: 105195 (2024) - [j5]Habib Khan
Attention enhanced machine instinctive vision with human-inspired saliency detection. Image Vis. Comput. 152: 105308 (2024) - [c5]Jakeoung Koo, Abderrahim Halimi, Stephen McLaughlin:
Bayesian Deep Unfolding with Graph Attention for Dual-Peak Single-Photon Lidar Imaging. EUSIPCO 2024: 646-650 - 2022
- [j4]Jakeoung Koo
A Bayesian Based Deep Unrolling Algorithm for Single-Photon Lidar Systems. IEEE J. Sel. Top. Signal Process. 16(4): 762-774 (2022) - [c4]Jakeoung Koo, Abderrahim Halimi, Aurora Maccarone, Gerald S. Buller, Stephen McLaughlin:
A Bayesian Based Unrolling Approach to Single-Photon Lidar Imaging through Obscurants. EUSIPCO 2022: 872-876 - [c3]Abderrahim Halimi
Robust Bayesian Reconstruction of Multispectral Single-Photon 3D Lidar Data with Non-Uniform Background. ICASSP 2022: 1531-1535 - [i5]Jakeoung Koo, Abderrahim Halimi, Steve McLaughlin:
A Bayesian Based Deep Unrolling Algorithm for Single-Photon Lidar Systems. CoRR abs/2201.10910 (2022) - 2021
- [j3]Ja-Keoung Koo
DALM, Deformable Attenuation-Labeled Mesh for Tomographic Reconstruction and Segmentation. IEEE Trans. Computational Imaging 7: 151-163 (2021) - [c2]Ja-Keoung Koo
A Tomographic Reconstruction Method using Coordinate-based Neural Network with Spatial Regularization. NLDL 2021 - 2020
- [j2]Byung-Woo Hong
Adaptive Regularization of Some Inverse Problems in Image Analysis. IEEE Trans. Image Process. 29: 2507-2521 (2020) - [i4]Ja-Keoung Koo, Qiongyang Chen, Jakob Andreas Bærentzen, Anders B. Dahl, Vedrana Andersen Dahl:
Shape from Projections via Differentiable Forward Projector. CoRR abs/2006.16120 (2020)
2010 – 2019
- 2017
- [c1]Byung-Woo Hong, Ja-Keoung Koo
Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems. GCPR 2017: 268-280 - [i3]Byung-Woo Hong, Ja-Keoung Koo, Stefano Soatto:
Multi-Label Segmentation via Residual-Driven Adaptive Regularization. CoRR abs/1702.08336 (2017) - [i2]Byung-Woo Hong, Ja-Keoung Koo, Martin Burger, Stefano Soatto:
Adaptive Regularization of Some Inverse Problems in Image Analysis. CoRR abs/1705.03350 (2017) - 2016
- [i1]Byung-Woo Hong, Ja-Keoung Koo, Hendrik Dirks, Martin Burger:
Adaptive Parameter Balancing for Composite Optimization Problems in Imaging. CoRR abs/1609.02356 (2016) - 2015
- [j1]Ja-Keoung Koo, Hyo-Hun Kim, Byung-Woo Hong:
Joint estimation of motion and illumination change in a sequence of images. J. Electronic Imaging 24(5): 053027 (2015)
Coauthor Index
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last updated on 2025-07-10 21:44 CEST by the dblp team
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