Sungchan Oh

According to our database, Sungchan Oh authored at least 18 papers between 2008 and 2024.

Collaborative distances:

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

2024

Trajectory Prediction using Attentive Visual Features.

Sungchan Oh, Jinyoung Moon

Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, 2024

2022

High-Resolution Canopy Height Model Generation and Validation Using USGS 3DEP LiDAR Data in Indiana, USA.

Sungchan Oh, Jinha Jung, Guofan Shao, Gang Shao, Joey Gallion, Songlin Fei

Remote. Sens., 2022

An Unsupervised Canopy-to-Root Pathing (UCRP) Tree Segmentation Algorithm for Automatic Forest Mapping.

Joshua Carpenter, Jinha Jung, Sungchan Oh, Brady S. Hardiman, Songlin Fei

Remote. Sens., 2022

2021

Tar Spot Disease Quantification Using Unmanned Aircraft Systems (UAS) Data.

Sungchan Oh, Da-Young Lee, Carlos Gongora-Canul, Akash Ashapure, Joshua Carpenter, Andres Cruz-Sancan, Mariela Fernández, Brenden Z. Lane, Darcy Telenko, Jinha Jung, Christian Cruz

Remote. Sens., 2021

Adversarial Training With Stochastic Weight Average.

Joong-won Hwang, Youngwan Lee, Sungchan Oh, Yuseok Bae

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Plant Counting of Cotton from UAS Imagery Using Deep Learning-Based Object Detection Framework.

Sungchan Oh, Anjin Chang, Akash Ashapure, Jinha Jung, Nothabo Dube, Murilo M. Maeda, Daniel Gonzalez, Juan Landivar

Remote. Sens., 2020

Estimation of Visual Rating of TAR Spot Disease of Corn Using Unmanned Aerial Systems (UAS) Data and Machine Learning Techniques.

Sungchan Oh, Da-Young Lee, Carlos Gongora-Canul, Andres Cruz-Sancan, Akash Ashapure, Mariela Fernández, Darcy Telenko, Jinha Jung, Christian Cruz

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Combining UAS and Sentinel-2 Data to Estimate Canopy Parameters of a Cotton Crop Using Machine Learning.

Akash Ashapure, Jinha Jung, Sungchan Oh, Anjin Chang, Nothabo Dube, Juan Landivar

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

A Comparative Study of RGB and Multispectral Sensor-Based Cotton Canopy Cover Modelling Using Multi-Temporal UAS Data.

Akash Ashapure, Jinha Jung, Anjin Chang, Sungchan Oh, Murilo M. Maeda, Juan Landivar

Remote. Sens., 2019

Automated Coregistration of Multisensor Orthophotos Generated from Unmanned Aerial Vehicle Platforms.

Youkyung Han, Jaewan Choi, Jinha Jung, Anjin Chang, Sungchan Oh, Junho Yeom

J. Sensors, 2019

A Global-Local Emebdding Module for Fashion Landmark Detection.

Sumin Lee, Sungchan Oh, Chanho Jung, Changick Kim

CoRR, 2019

A Global-Local Embedding Module for Fashion Landmark Detection.

Sumin Lee, Sungchan Oh, Chanho Jung, Changick Kim

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2014

Robust Estimation of Motion Blur Kernel Using a Piecewise-Linear Model.

Sungchan Oh, Gyeonghwan Kim

IEEE Trans. Image Process., 2014

2013

Virtual Halo Effect Using Graph-Cut Based Video Segmentation.

Sungchan Oh, Hyug-Jae Lee, Gyeonghwan Kim

IEICE Trans. Inf. Syst., 2013

2012

ArcMine: A GIS extension to support mine reclamation planning.

Sung-Min Kim, Yosoon Choi, Jangwon Suh, Sungchan Oh, Hyeong-Dong Park, Suk-Ho Yoon, Wa-Ra Go

Comput. Geosci., 2012

2009

A hardware implementation of pyramidal KLT feature tracker for driving assistance systems.

Wonjun Jang, Sungchan Oh, Gyeonghwan Kim

Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, 2009

2008

FPGA-based fast image warping with data-parallelization schemes.

Sungchan Oh, Gyeonghwan Kim

IEEE Trans. Consumer Electron., 2008

An architecture for on-the-fly correction of radial distortion using FPGA.

Sungchan Oh, Gyeonghwan Kim

Proceedings of the Real-Time Image Processing 2008, San Jose, CA, USA, January 28-29, 2008, 2008