Bagging in Computer Vision. - Bruce A. Draper; Kyungim Baek (CVPR, 1998)

ADORE: Adaptive Object Recognition. - Bruce A. Draper; José Bins; Kyungim Baek (ICVS, 1999)

Unsupervised Learning of Biologically Plausible Object Recognition Strategies. - Bruce A. Draper; Kyungim Baek (Biologically Motivated Computer Vision, 2000)

Factor Analysis or Background Suppression. - Kyungim Baek; Bruce A. Draper (ICPR (2), 2002)

PCA vs. ICA: A Comparison on the FERET Data Set. - Kyungim Baek; Bruce A. Draper; J. Ross Beveridge; Kai She (JCIS, 2002)

A Biologically Plausible Approach to Cat and Dog Discrimination. - Bruce A. Draper; Kyungim Baek; Jeff Boody (SSPR/SPR, 2002)

Recognizing faces with PCA and ICA. - Bruce A. Draper; Kyungim Baek; Marian Stewart Bartlett; J. Ross Beveridge (Comput. Vis. Image Underst., 2003)

Implementing the expert object recognition pathway. - Bruce A. Draper; Kyungim Baek; Jeff Boody (Mach. Vis. Appl., 2004)

Integration of form and motion within a generative model of visual cortex. - Paul Sajda; Kyungim Baek (Neural Networks, 2004)

EM in high-dimensional spaces. - Bruce A. Draper; Daniel L. Elliott; Jeremy Hayes; Kyungim Baek (IEEE Trans. Syst. Man Cybern. Part B, 2005)

Virus DNA-fragment classification using taxonomic hidden Markov model profiles. - Mark Menor; Kyungim Baek; Mahdi Belcaid; Yannick Gingras; Guylaine Poisson (SAC, 2010)

Relevance units machine for classification. - Mark Menor; Kyungim Baek (BMEI, 2011)

Efficient clustering of populations using a minimal SNP panel. - Mahdi Belcaid; Kyungim Baek; David Haymer; Guylaine Poisson (SAC, 2011)

Probabilistic prediction of protein phosphorylation sites using kernel machines. - Mark Menor; Guylaine Poisson; Kyungim Baek (SAC, 2012)

Analyzing Traffic Density in Images with Low Temporal and Spatial Resolution. - Michael Claveria; Kyungim Baek (IVCNZ, 2014)

Selecting linear algebra kernel composition using response time prediction. - Aurélie Hurault; Kyungim Baek; Henri Casanova (Softw. Pract. Exp., 2015)

What's That Plant? WTPlant is a Deep Learning System to Identify Plants in Natural Images. - Jonas Krause; Gavin Sugita; Kyungim Baek; Lipyeow Lim (BMVC, 2018)

WTPlant (What's That Plant?): A Deep Learning System for Identifying Plants in Natural Images. - Jonas Krause; Gavin Sugita; Kyungim Baek; Lipyeow Lim (ICMR, 2018)

A Guided Multi-Scale Categorization of Plant Species in Natural Images. - Jonas Krause; Kyungim Baek; Lipyeow Lim (CVPR Workshops, 2019)

Expanding CNN-Based Plant Phenotyping Systems to Larger Environments. - Jonas Krause; Kyungim Baek; Lipyeow Lim (ECCV Workshops (6), 2020)

Increasing Small Unmanned Aerial System Real-Time Autonomy. - Richard Carney; Monique Chyba; Chris Gray; Julian Pereda; Elizabeth Swantek; Alan Tong; Kyungim Baek; William Koch; Guylaine Poisson; Ryan L. Perroy; Timothy Sullivan; Charlie Tommy; et al. (IGARSS, 2020)

Conservative Data Exchange for Decentralized Cooperative Localization. - Tetsuya Idota; Kyungim Baek (UR, 2020)

GCI-ViTAL: Gradual Confidence Improvement with Vision Transformers for Active Learning on Label Noise. - Moseli Mots'oehli; Kyungim Baek (CoRR, 2024)

Balancing Accuracy, Calibration, and Efficiency in Active Learning with Vision Transformers Under Label Noise. - Moseli Mots'oehli; Hope Mogale; Kyungim Baek (CoRR, 2025)

Simulating Refractive Distortions and Weather-Induced Artifacts for Resource-Constrained Autonomous Perception. - Moseli Mots'oehli; Feimei Chen; Hok Wai Chan; Itumeleng Tlali; Thulani Babeli; Kyungim Baek; Huaijin Chen 005 (CoRR, 2025)