Tae Koo Kang

According to our database, Tae Koo Kang authored at least 8 papers between 2018 and 2025.

Collaborative distances:

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

2025

Fusion-attention network using dense scale-invariant feature transform flow image and point cloud for 3D pedestrian detection.

Sang-Kyoo Park, Jun Ho Chung, Dong Sung Pae, Tae Koo Kang, Myo Taeg Lim

Multim. Tools Appl., April, 2025

2023

Deep Learning-Based Autonomous Excavation: A Bucket-Trajectory Planning Algorithm.

JaeMyung Huh, JangHo Bae, Donghyeon Lee, Jaewon Kwak, Chanyoung Moon, Chulwhan Im, Yeonho Ko, Tae Koo Kang, Daehie Hong

IEEE Access, 2023

2022

ADM-Net: attentional-deconvolution module-based net for noise-coupled traffic sign recognition.

Jun Ho Chung, Dong Won Kim, Tae Koo Kang, Myo Taeg Lim

Multim. Tools Appl., 2022

2021

Binary dense sift flow based two stream CNN for human action recognition.

Sang-Kyoo Park, Jun Ho Chung, Tae Koo Kang, Myo Taeg Lim

Multim. Tools Appl., 2021

2020

Traffic Sign Recognition in Harsh Environment Using Attention Based Convolutional Pooling Neural Network.

Jun Ho Chung, Dong Won Kim, Tae Koo Kang, Myo Taeg Lim

Neural Process. Lett., 2020

2019

Advanced digital image stabilization using similarity-constrained optimization.

Dong Sung Pae, Chi Gun An, Tae Koo Kang, Myo Taeg Lim

Multim. Tools Appl., 2019

PPG and EMG Based Emotion Recognition using Convolutional Neural Network.

Min-Seop Lee, Ye Ri Cho, Yun Kyu Lee, Dong Sung Pae, Myo Taeg Lim, Tae Koo Kang

Proceedings of the 16th International Conference on Informatics in Control, 2019

2018

Pattern matching for industrial object recognition using geometry-based vector mapping descriptors.

Oung Tak You, Dong Sung Pae, Sung Hee Kim, Kyeong Eun Kim, Myo Taeg Lim, Tae Koo Kang

Pattern Anal. Appl., 2018