Live capture, rectification, and streaming of stereoscopic internet video for casual users. - M. Scott Bishop; Hyojin Kim 001; Viswanathan Swaminathan 001 (3DTV-Conference, 2012)

Piecewise Planar Scene Reconstruction and Optimization for Multi-view Stereo. - Hyojin Kim 001; Hong Xiao; Nelson L. Max (ACCV (4), 2012)

GPU-friendly Multi-view Stereo for Outdoor Planar Scene Reconstruction. - Hyojin Kim 001; Quinn Hunter; Mark A. Duchaineau; Kenneth I. Joy; Nelson L. Max (VISAPP (2), 2012)

Automatic registration of LiDAR and optical imagery using depth map stereo. - Hyojin Kim 001; Carlos D. Correa; Nelson L. Max (ICCP, 2014)

Image segmentation using consensus from hierarchical segmentation ensembles. - Hyojin Kim 001; Jayaraman J. Thiagarajan; Peer-Timo Bremer (ICIP, 2014)

A Randomized Ensemble Approach to Industrial CT Segmentation. - Hyojin Kim 001; Jayaraman J. Thiagarajan; Peer-Timo Bremer (ICCV, 2015)

LBANN: livermore big artificial neural network HPC toolkit. - Brian Van Essen; Hyojin Kim 001; Roger A. Pearce; Kofi Boakye; Barry Chen (MLHPC@SC, 2015)

Optimization of Plane Fits to Image Segments in Multi-view Stereo. - Nelson L. Max; Hyojin Kim 001 (WACV, 2015)

Dude (Duality descriptor): A robust descriptor for disparate images using line segment duality. - Youngwook Paul Kwon; Hyojin Kim 001; Goran Konjevod; Sara McMains (ICIP, 2016)

Lung nodule detection using 3D convolutional neural networks trained on weakly labeled data. - Rushil Anirudh; Jayaraman J. Thiagarajan; Timo Bremer; Hyojin Kim 001 (Computer-Aided Diagnosis, 2016)

Lose the Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion. - Rushil Anirudh; Hyojin Kim 001; Jayaraman J. Thiagarajan; K. Aditya Mohan; Kyle Champley; Timo Bremer (CVPR, 2018)

Facial Expression Recognition Using a Large Out-of-Context Dataset. - Elizabeth Tran; Michael B. Mayhew; Hyojin Kim 001; Piyush Karande; Alan David Kaplan (WACV Workshops, 2018)

Learning to Focus and Track Extreme Climate Events. - Sookyung Kim; Sunghyun Park 005; Sunghyo Chung; Joonseok Lee; Yunsung Lee; Hyojin Kim 001; Prabhat; Jaegul Choo (BMVC, 2019)

Deep-Hurricane-Tracker: Tracking and Forecasting Extreme Climate Events. - Sookyung Kim; Hyojin Kim 001; Joonseok Lee; Sangwoong Yoon; Samira Ebrahimi Kahou; Karthik Kashinath; Prabhat (WACV, 2019)

Improving Limited Angle CT Reconstruction with a Robust GAN Prior. - Rushil Anirudh; Hyojin Kim 001; Jayaraman J. Thiagarajan; K. Aditya Mohan; Kyle Champley (CoRR, 2019)

Extreme Few-view CT Reconstruction using Deep Inference. - Hyojin Kim 001; Rushil Anirudh; K. Aditya Mohan; Kyle Champley (CoRR, 2019)

A Visualization System for Performance Analysis of Image Classification Models. - Chanhee Park; Hyojin Kim 001; Kyungwon Lee (Visualization and Data Analysis, 2020)

Improved Protein-ligand Binding Affinity Prediction with Structure-Based Deep Fusion Inference. - Derek Jones; Hyojin Kim 001; Xiaohua Zhang; Adam T. Zemla; Garrett Stevenson; William D. Bennett; Dan Kirshner 001; Sergio Ernesto Wong; Felice C. Lightstone; Jonathan E. Allen (CoRR, 2020)

Predicting Small Molecule Transfer Free Energies by Combining Molecular Dynamics Simulations and Deep Learning. - W. F. Drew Bennett; Stewart He; Camille L. Bilodeau; Derek Jones; Delin Sun; Hyojin Kim 001; Jonathan E. Allen; Felice C. Lightstone; Helgi I. Ingólfsson (J. Chem. Inf. Model., 2020)

Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing Knowledge. - Anna M. Hiszpanski; Brian Gallagher; Karthik Chellappan; Peggy Li; Shusen Liu 001; Hyojin Kim 001; Jinkyu Han; Bhavya Kailkhura; David J. Buttler; Thomas Yong-Jin Han (J. Chem. Inf. Model., 2020)

Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields. - Albert W. Reed; Hyojin Kim 001; Rushil Anirudh; K. Aditya Mohan; Kyle Champley; Jingu Kang; Suren Jayasuriya (ICCV, 2021)

High-throughput virtual screening of small molecule inhibitors for SARS-CoV-2 protein targets with deep fusion models. - Garrett A. Stevenson; Derek Jones; Hyojin Kim 001; W. F. Drew Bennett; Brian J. Bennion; Monica Borucki; Feliza Bourguet; Aidan Epstein; Magdalena Franco; Brooke Harmon; Stewart He; Max P. Katz; et al. (SC, 2021)

Improved Protein-Ligand Binding Affinity Prediction with Structure-Based Deep Fusion Inference. - Derek Jones; Hyojin Kim 001; Xiaohua Zhang; Adam T. Zemla; Garrett Stevenson; W. F. Drew Bennett; Daniel A. Kirshner; Sergio Ernesto Wong; Felice C. Lightstone; Jonathan E. Allen (J. Chem. Inf. Model., 2021)

Pose Classification Using Three-Dimensional Atomic Structure-Based Neural Networks Applied to Ion Channel-Ligand Docking. - Heesung Shim; Hyojin Kim 001; Jonathan E. Allen; Heike Wulff (J. Chem. Inf. Model., 2022)

DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction. - Jiaming Liu 001; Rushil Anirudh; Jayaraman J. Thiagarajan; Stewart He; K. Aditya Mohan; Ulugbek S. Kamilov; Hyojin Kim 001 (ICCV, 2023)

Differentiable Forward Projector for X-ray Computed Tomography. - Hyojin Kim 001; Kyle Champley (CoRR, 2023)

Clustering Protein Binding Pockets and Identifying Potential Drug Interactions: A Novel Ligand-Based Featurization Method. - Garrett A. Stevenson; Dan Kirshner 001; Brian J. Bennion; Yue Yang; Xiaohua Zhang; Adam T. Zemla; Marisa W. Torres; Aidan Epstein; Derek Jones; Hyojin Kim 001; W. F. Drew Bennett; Sergio Ernesto Wong; et al. (J. Chem. Inf. Model., 2023)

Distributed Stochastic Optimization of a Neural Representation Network for Time-Space Tomography Reconstruction. - K. Aditya Mohan; Massimiliano Ferrucci; Chuck Divin; Garrett A. Stevenson; Hyojin Kim 001 (IEEE Trans. Computational Imaging, 2025)

Bimodal Visualization of Industrial X-Ray and Neutron Computed Tomography Data. - Xuan Huang; Haichao Miao; Hyojin Kim 001; Andrew Townsend; Kyle Champley; Joseph W. Tringe; Valerio Pascucci; Peer-Timo Bremer (IEEE Trans. Vis. Comput. Graph., 2025)