Tae Hyung Kim

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 13

Top Topics

Top Venues

Publications

Min Young Lim, Seong-Hee Park, Soo-Hyun Lee, Tae Hyung Kim, Dongwoo Kang, Youn Kyu Lee
Enhancing Nighttime Vehicle Detection via Transformer-based Data Augmentation. ICTC (2023)
Congyu Liao, Uten Yarach, Xiaozhi Cao, Siddharth Srinivasan Iyer, Nan Wang, Tae Hyung Kim, Qiyuan Tian, Berkin Bilgic, Adam B. Kerr, Kawin Setsompop
High-fidelity mesoscale in-vivo diffusion MRI through gSlider-BUDA and circular EPI with S-LORAKS reconstruction. NeuroImage 275 (2023)
Mengze Gao, Huihui Ye, Tae Hyung Kim, Zijing Zhang, Seohee So, Berkin Bilgic
Accurate parameter estimation using scan-specific unsupervised deep learning for relaxometry and MR fingerprinting. CoRR (2021)
Guodong Rong, Byung Hyun Shin, Hadi Tabatabaee, Qiang Lu, Steve Lemke, Martins Mozeiko, Eric Boise, Geehoon Uhm, Mark Gerow, Shalin Mehta, Eugene Agafonov, Tae Hyung Kim, Eric Sterner, Keunhae Ushiroda, Michael Reyes, Dmitry Zelenkovsky, Seonman Kim
LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving. CoRR (2020)
Guodong Rong, Byung Hyun Shin, Hadi Tabatabaee, Qiang Lu, Steve Lemke, Martins Mozeiko, Eric Boise, Geehoon Uhm, Mark Gerow, Shalin Mehta, Eugene Agafonov, Tae Hyung Kim, Eric Sterner, Keunhae Ushiroda, Michael Reyes, Dmitry Zelenkovsky, Seonman Kim
LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving. ITSC (2020)
Tae Hyung Kim, Justin P. Haldar
Efficient Iterative Solutions to Complex-Valued Nonlinear Least-Squares Problems with Mixed Linear and Antilinear Operators. CoRR (2020)
Tae Hyung Kim, Justin P. Haldar
Learning How to Interpolate Fourier Data With Unknown Autoregressive Structure: An Ensemble-Based Approach. ACSSC (2019)
Tae Hyung Kim, Pratyush Garg, Justin P. Haldar
LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space. CoRR (2019)
Tae Hyung Kim, Justin P. Haldar
The Fourier radial error spectrum plot: A more nuanced quantitative evaluation of image reconstruction quality. ISBI (2018)
Rodrigo A. Lobos, Tae Hyung Kim, W. Scott Hoge, Justin P. Haldar
Navigator-Free EPI Ghost Correction With Structured Low-Rank Matrix Models: New Theory and Methods. IEEE Trans. Medical Imaging 37 (11) (2018)
Justin P. Haldar, Tae Hyung Kim
Computational imaging with loraks: Reconstructing linearly predictable signals using low-rank matrix regularization. ACSSC (2017)
Rodrigo A. Lobos, Tae Hyung Kim, W. Scott Hoge, Justin P. Haldar
Navigator-free EPI Ghost Correction with Structured Low-Rank Matrix Models: New Theory and Methods. CoRR (2017)
Heeseo Chae, Jae Hyuk Ju, Tae Hyung Kim
The reliable design by the wireless network redundancy for remote control mechanism of the heavy unmanned ground vehicle. AIM (2017)
Tae Hyung Kim, Justin P. Haldar
SMS-LORAKS: Calibrationless simultaneous multislice MRI using low-rank matrix modeling. ISBI (2015)
Michael P. Wellman, Tae Hyung Kim, Quang Duong
Analyzing Incentives for Protocol Compliance in Complex Domains: A Case Study of Introduction-Based Routing. CoRR (2013)