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2020 – today
- 2024
[j10]Vijay Kakani, Cheng-Bin Jin, Hakil Kim
:
Segmentation-based ID preserving iris synthesis using generative adversarial networks. Multim. Tools Appl. 83(9): 27589-27617 (2024)- 2022
- [j9]Mingjie Liu, Wei Zou, Wentao Wang, Cheng-Bin Jin, Junsheng Chen, Chang Hao Piao:
Multi-Conditional Constraint Generative Adversarial Network-Based MR Imaging from CT Scan Data. Sensors 22(11): 4043 (2022)
2010 – 2019
- 2019
- [j8]Mingjie Liu, Cheng-Bin Jin, Bin Yang, Xuenan Cui, Hakil Kim:
Online multiple object tracking using confidence score-based appearance model learning and hierarchical data association. IET Comput. Vis. 13(3): 312-318 (2019) - [j7]Trung Dung Do, Cheng-Bin Jin, Van Huan Nguyen, Hakil Kim:
Mixture separability loss in a deep convolutional network for image classification. IET Image Process. 13(1): 135-141 (2019) - [j6]Cheng-Bin Jin, Hakil Kim, Mingjie Liu, Wonmo Jung, Seongsu Joo, Eunsik Park, Young Saem Ahn, In Ho Han, Jae Il Lee, Xuenan Cui:
Deep CT to MR Synthesis Using Paired and Unpaired Data. Sensors 19(10): 2361 (2019) - [j5]Vijay Kakani, Hakil Kim, Mahendar Kumbham, Donghun Park, Cheng-Bin Jin, Van Huan Nguyen:
Feasible Self-Calibration of Larger Field-of-View (FOV) Camera Sensors for the Advanced Driver-Assistance System (ADAS). Sensors 19(15): 3369 (2019) - [c4]Mingjie Liu, Cheng-Bin Jin, Donghun Park, Hakil Kim:
Integrated Detection and Tracking for ADAS Using Deep Neural Network. MIPR 2019: 71-76 - [i3]Trung Dung Do, Cheng-Bin Jin, Hakil Kim, Van Huan Nguyen:
Mixture separability loss in a deep convolutional network for image classification. CoRR abs/1906.06633 (2019) - 2018
- [j4]Wei Li, Cheng-Bin Jin, Mingjie Liu, Hakil Kim, Xuenan Cui:
Local similarity refinement of shape-preserved warping for parallax-tolerant image stitching. IET Image Process. 12(5): 661-668 (2018) - [j3]Mingjie Liu, Cheng-Bin Jin, Bin Yang, Xuenan Cui, Hakil Kim:
Occlusion-robust object tracking based on the confidence of online selected hierarchical features. IET Image Process. 12(11): 2023-2029 (2018) - [c3]Cheng-Bin Jin, Hakil Kim, Wonmo Jung, Seongsu Joo, Eunsik Park, Young Saem Ahn, In Ho Han, Jae Il Lee, Xuenan Cui:
CT-Based MR Synthesis Using Adversarial Cycle-Consistent Networks with Paired Data Learning. CISP-BMEI 2018: 1-6 - [c2]Mingjie Liu, Cheng-Bin Jin, Bin Yang, Xuenan Cui, Hakil Kim:
Scale-Invarinat Kernelized Correlation Filter using Convolutional Feature for Object Tracking. VEHITS 2018: 335-340 - [i2]Cheng-Bin Jin, Wonmo Jung, Seongsu Joo, Eunsik Park, Young Saem Ahn, In Ho Han, Jae-Il Lee, Xuenan Cui:
Deep CT to MR Synthesis using Paired and Unpaired Data. CoRR abs/1805.10790 (2018) - 2017
- [i1]Cheng-Bin Jin, Shengzhe Li, Hakil Kim:
Real-Time Action Detection in Video Surveillance using Sub-Action Descriptor with Multi-CNN. CoRR abs/1710.03383 (2017) - 2015
- [j2]Shengzhe Li, Van Huan Nguyen, Mingjie Ma, Cheng-Bin Jin, Trung Dung Do, Hakil Kim:
A simplified nonlinear regression method for human height estimation in video surveillance. EURASIP J. Image Video Process. 2015: 32 (2015) - [j1]Thi Ly Vu, Trung Dung Do, Cheng-Bin Jin, Shengzhe Li, Van Huan Nguyen, Hakil Kim, Chong Ho Lee:
Improvement of Accuracy for Human Action Recognition by Histogram of Changing Points and Average Speed Descriptors. J. Comput. Sci. Eng. 9(1): 29-38 (2015) - [c1]Cheng-Bin Jin, Shengzhe Li, Trung Dung Do, Hakil Kim:
Real-Time Human Action Recognition Using CNN Over Temporal Images for Static Video Surveillance Cameras. PCM (2) 2015: 330-339
Coauthor Index
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