Kyungim Baek

26 papers A* 1A 1C 3Misc 4Journal 8Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Balancing Accuracy, Calibration, and Efficiency in Active Learning with Vision Transformers Under Label Noise.
CoRR
Moseli Mots'oehli, Hope Mogale, Kyungim Baek
2025 — conf
Simulating Refractive Distortions and Weather-Induced Artifacts for Resource-Constrained Autonomous Perception.
ICCVW
Moseli Mots'oehli, Feimei Chen, Hok Wai Chan, Itumeleng Tlali, Thulani Babeli, Kyungim Baek, Huaijin Chen
2025 J jnl
Simulating Refractive Distortions and Weather-Induced Artifacts for Resource-Constrained Autonomous Perception.
CoRR
Moseli Mots'oehli, Feimei Chen, Hok Wai Chan, Itumeleng Tlali, Thulani Babeli, Kyungim Baek, Huaijin Chen
2024 J jnl
GCI-ViTAL: Gradual Confidence Improvement with Vision Transformers for Active Learning on Label Noise.
CoRR
Moseli Mots'oehli, Kyungim Baek
2020 — conf
Conservative Data Exchange for Decentralized Cooperative Localization.
UR
Tetsuya Idota, Kyungim Baek
2020 — conf
Expanding CNN-Based Plant Phenotyping Systems to Larger Environments.
ECCV Workshops (6)
Jonas Krause, Kyungim Baek, Lipyeow Lim
2020 C conf
Increasing Small Unmanned Aerial System Real-Time Autonomy.
IGARSS
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, Norman Lay, Kamal Oudrihi
2019 — conf
A Guided Multi-Scale Categorization of Plant Species in Natural Images.
CVPR Workshops
Jonas Krause, Kyungim Baek, Lipyeow Lim
2018 A conf
What's That Plant? WTPlant is a Deep Learning System to Identify Plants in Natural Images.
BMVC
Jonas Krause, Gavin Sugita, Kyungim Baek, Lipyeow Lim
2015 J jnl
Selecting linear algebra kernel composition using response time prediction.
Softw. Pract. Exp.
Aurélie Hurault, Kyungim Baek, Henri Casanova
2014 Misc conf
Analyzing Traffic Density in Images with Low Temporal and Spatial Resolution.
IVCNZ
Michael Claveria, Kyungim Baek
2012 Misc conf
Probabilistic prediction of protein phosphorylation sites using kernel machines.
SAC
Mark Menor, Guylaine Poisson, Kyungim Baek
2011 Misc conf
Efficient clustering of populations using a minimal SNP panel.
SAC
Mahdi Belcaid, Kyungim Baek, David Haymer, Guylaine Poisson
2011 — conf
Relevance units machine for classification.
BMEI
Mark Menor, Kyungim Baek
2010 Misc conf
Virus DNA-fragment classification using taxonomic hidden Markov model profiles.
SAC
Mark Menor, Kyungim Baek, Mahdi Belcaid, Yannick Gingras, Guylaine Poisson
2005 J jnl
EM in high-dimensional spaces.
IEEE Trans. Syst. Man Cybern. Part B
Bruce A. Draper, Daniel L. Elliott, Jeremy Hayes, Kyungim Baek
2004 J jnl
Implementing the expert object recognition pathway.
Mach. Vis. Appl.
Bruce A. Draper, Kyungim Baek, Jeff Boody
2004 J jnl
Integration of form and motion within a generative model of visual cortex.
Neural Networks
Paul Sajda, Kyungim Baek
2003 C conf
Implementing the Expert Object Recognition Pathway.
ICVS
Bruce A. Draper, Kyungim Baek, Jeff Boody
2003 J jnl
Recognizing faces with PCA and ICA.
Comput. Vis. Image Underst.
Bruce A. Draper, Kyungim Baek, Marian Stewart Bartlett, J. Ross Beveridge
2002 — conf
A Biologically Plausible Approach to Cat and Dog Discrimination.
SSPR/SPR
Bruce A. Draper, Kyungim Baek, Jeff Boody
2002 — conf
Factor Analysis or Background Suppression.
ICPR (2)
Kyungim Baek, Bruce A. Draper
2002 — conf
PCA vs. ICA: A Comparison on the FERET Data Set.
JCIS
Kyungim Baek, Bruce A. Draper, J. Ross Beveridge, Kai She
2000 — conf
Unsupervised Learning of Biologically Plausible Object Recognition Strategies.
Biologically Motivated Computer Vision
Bruce A. Draper, Kyungim Baek
1999 C conf
ADORE: Adaptive Object Recognition.
ICVS
Bruce A. Draper, José Bins, Kyungim Baek
1998 A* conf
Bagging in Computer Vision.
CVPR
Bruce A. Draper, Kyungim Baek