Kyungim Baek's Publications
Refereed Publications
- Carney, R., Chyba, M., Gray, C., Pereda, J., Swantek, E., Tong, A., Baek, K., Koch, W., Poisson, G., Perroy, R., Sullivan, T., Tommy, C., Lay, N., and Oudrihi, K., Increasing small unmanned aerial system real-time autonomy.
IEEE International Geoscience and Remote Sensing Symposium (IGARSS),
pp.6592-6529, 2020.
- Krause, J., Baek, K., and Lim, L., Expanding CNN-based plant phenotyping systems to larger environments.
In: Bartoli A., Fusiello A. (Eds.) Computer Vision - ECCV 2020 Workshops. Lecture Notes in Computer Science,
Vol.12540, Springer, Cham, pp.418-432, 2020.
- Idota, T. and Baek, K., Conservative data exchange for decentralized cooperative localization.
17th International Conference on Ubiquitous Robots,
Kyoto, Japan, June, pp.472-478, 2020.
- Krause, J., Baek, K., and Lim, L., A guided multi-scale categorization of plant species in natural images.
Computer Vision and Pattern Recognition (CVPR) Workshop on Computer Vision Problems in Plant Phenotyping (CVPPP 2019),
Long Beach, CA, June, 2019.
- Krause, J., Baek, K., Lim, L., and Sugita, G., What's that plant? WTPlant is a deep learning system to identify plants in natural images.
British Machine Vision Conference (BMVC) Workshop on Computer Vision Problems in Plant Phenotyping (CVPPP 2018),
Newcastle, UK, September, 2018.
- Krause, J., Sugita, G., Baek, K., and Lim, L., WTPlant (What's that plant?): a deep learning system for identifying plants in natural images. (Demonstration paper)
ACM International Conference on Multimedia Retrieval (ICMR),
Yokohama, Japan, June, 2018.
- Baek, K., Learning deep architectures for protein structure prediction.
Proceedings of the 7th International Conference on Bioinformatics and Computational Biology (BICoB-2015),
Honolulu, Hawaii, March 9-11, pp.137-142, 2015.
- Hurault, A., Baek, K., and Casanova, H.,
Selecting linear algebra kernel composition using response time prediction.
Software: Practice and Experience, 45(12), pp.1659-1676, 2015.
- Menor, M., Baek, K., and Poisson, G.,
Prediction of mature microRNA and piwi-interacting RNA without a genome reference or precursors.
International Journal of Molecular Sciences, 16(1), pp.1466-1481, 2015.
- Baek, K., Deep machine learning in bioinformatics.
Proceedings of the Seoul International Conference on Life Sciences and Biological Engineering,
Seoul, Korea, January 8-10, pp.401-402, 2015.
- Claveria, M. and Baek, K., Analyzing traffic density in images with low temporal and spatial resolution.
Proceedings of the 29th International Conference on Image and Vision Computing New Zealand,
Hamilton, New Zealand, November 19-21, pp.154-159, 2014.
- Menor, M., Baek, K., and Poisson, G., Multiclass relevance units machine: Benchmark
evaluation and application to small ncRNA discovery.
BMC Genomics, 14(Suppl 2):S6, 2013.
(extended version of the ISCB-Asia/SCCG proceeding)
- Menor, M., Baek, K., and Poisson, G., Probabilistic prediction of protein phosphorylation
sites using classification relevance units machines.
ACM SIGAPP Applied Computing Review, Vol.12, No.4, pp.8-20,
2012. (extended version of the ACM-SAC BIO 2012 proceeding)
- Menor, M., Baek, K., and Poisson, G.,
Multiclass relevance units machine: Benchmark evaluation and application to small ncRNA discovery.
ISCB-Asia/SCCG 2012 Proceedings Track,
Shenzhen, China, December 17-19, 2012.
- Menor, M., Poisson, G., and Baek, K.,
Probabilistic prediction of protein phosphorylation sites using kernel machines.
Proceedings of the 27th ACM Symposium on Applied Computing Conference Track on
Bioinformatics and Computational Systems Biology (ACM-SAC BIO),
Riva Del Garda Congress Center, Italy, March, pp.1393-1398, 2012.
- Menor, M. and Baek, K., Relevance units machine for classification.
Proceedings of the 4th International Conference on BioMedical Engineering and Informatics,
Shanghai, China, October 15-17, pp.2281-2285, 2011.
- Belcaid, M., Baek, K., Haymer, D., and Poisson, G.,
Efficient clustering of populations using a minimal SNP panel.
Proceedings of the 26th ACM Symposium on Applied Computing
Conference Track on Bioinformatics and Computational Systems Biology (ACM-SAC BIO),
Taichung, Taiwan, March 21-24, pp.83-88, 2011.
- Fabel, S., Baek, K., and Berkelman, P., Robotic surgical instrument wrist pose estimation.
Proceedings of the 32nd Annual International Conferene of the IEEE Engineering in Medicine and Biology
Society (EMBC'10), Buenos Aires, Argentina, August 31-September 4, pp.971-974, 2010.
- Menor, M., Baek, K., Belcaid, M., Gingras, Y., and Poisson, G.,
Virus DNA-fragment classification using taxonomic Hidden Markov Model profiles.
Proceedings of the 25th ACM Symposium on Applied Computing
Conference Track on Bioinformatics and Computational Systems Biology (ACM-SAC BIO),
Sierre, Switzerland, March 22-26, pp.1567-1571, 2010.
- Draper, B.A., Elliott, D.L., Hayes, J., and Baek, K., EM in high dimensional spaces.
IEEE Transactions on Systems, Man and Cybernetics, Vol.35, No.3, pp.571-577,
2005.
- Baek, K. and Sajda, P., Inferring figure-ground using a recurrent integrate-and-fire
neural circuit. IEEE Transactions on Neural Systems and Rehabilitation Engineering,
Vol.13, No.2, pp.125-130, 2005.
- Sajda, P. and Baek, K., Integration of form and motion within a generative model of
visual cortex. Neural Networks: Special Issue on Vision and Brain, Vol.17,
pp.809-821, 2004.
- Draper, B.A., Baek, K., and Boody, J., Implementing the expert object recognition
pathway. Machine Vision and Applications, Vol.16, No.1, pp.27-32, 2004.
- Baek, K., Kim, D.H., and Sajda, P., Inferring direction of figure using a recurrent
integrate-and-fire neural circuit. Proceedings of the 26th Annual International Conference of the
IEEE Engineering in Medicine and Biology Society (EMBC'04), San Francisco, California,
September 1-5, pp.4576-4579, 2004.
- Baek, K. and Sajda, P., A probabilistic network model for integrating visual cues and
inferring intermediate-level representations. Proceedings of the 3rd IEEE International Workshop on Statistical and
Computational Theories of Vision (SCTV'03), Nice, France, October 12, pp.3-10, 2003.
- Draper, B.A., Baek, K., Bartlett, M.S., and Beveridge, J.R., Recognizing faces with
PCA and ICA. Computer Vision and Image Understanding, Vol.91, pp.115-137, 2003.
- Draper, B.A., Baek, K., and Boody, J., Implementing the expert object recognition
pathway. Winner: Best Cognitive Vision Paper Award,
International Conference on Computer Vision Systems, Graz, Austria, April 1-3, 2003.
Lecture Notes in Computer Science, Springer-Verlag, Vol. 2626, pp.1-11, 2003.
- Baek, K. and Draper, B.A., Factor analysis for background suppression. International
Conference on Pattern Recognition (ICPR '02), Quebec, Canada. August 11-15, Vol. 2, pp.643-646, 2002.
- Draper, B.A., Baek, K., and Boody, J., A biologically plausible approach to cat and
dog discrimination. Joint IAPR International Workshops on Statistical, Syntactical and
Structural Pattern Recognition (SSSPR'02), Windsor, Canada, August 6-9, 2002.
Lecture Notes in Computer Science, Springer-Verlag, Vol. 2396, pp.779-788, 2002.
- Baek, K., Draper, B.A., Beveridge, J.R., and She, K., PCA vs. ICA: A comparison on the
FERET data set. The 6th Joint Conference on Information Sciences, Durham,
North Carolina, March 8-14, pp.824-827, 2002.
- Draper, B.A. and Baek, K., Unsupervised learning of biologically plausible object
recognition strategies. IEEE International Workshop on Biologically Motivated Computer
Vision (BMCV '00), Seoul, Korea, May 15-17, 2000.
In S.-W. Lee, H. H. Buelthoff, and T. Poggio, editors, Biologically Motivated Computer Vision,
Lecture Notes in Computer Science, Springer-Verlag, Vol. 1811, pp.238-247, 2000.
- Draper, B.A., Bins, J., and Baek, K., ADORE: Adaptive object recognition. Videre,
Vol.1, No.4, pp.86-99, 2000.
- Draper, B.A., Bins, J., and Baek, K., ADORE: Adaptive object recognition.
International Conference on Computer Vision Systems, Los Palmas, Gran Canaria, Spain,
Jan. 13-15, 1999.
Lecture Notes in Computer Science, Springer-Verlag, Vol. 1542, pp.522-537, 1999.
- Draper, B.A. and Baek, K., Bagging in Computer Vision. IEEE Conference on Computer
Vision and Pattern Recognition, CVPR'98, Santa Barbara CA, June 23-25, pp. 144-149, 1998.
- Lee, R., Baek, K., Han, H., Jung, W., Jung, H., Im, K., Park, M., and Ihm, I.,
SGRT: Design and implementation of an advanced rendering system. Journal of Korean
Information Science Society (C), Vol.4, No.5, pp.633-643, 1998.
- Baek, K. and Ihm, I., SGVR: A collaborative volume visualization system. Journal of
Korean Information Science Society (A), Vol.24, No.5, pp.417-428, 1997.
- Lee, R., Baek, K., and Ihm, I., Enhancing the speed of splatting with indexing and
implementation of the user interface. Journal of Korean Information Science Society
(A), Vol.23, No.5, pp.443-453, May, 1996.
- Lee, R., Baek, K., Han, H., Jung, W., Eo, S., and Ihm, I., Design and implementation
of an advanced rendering system. The Korean Information Science Society Fall Conference,
Yongin, Korea, October, 1996.
- Rhee, T., Baek, K., Lee, R., and Ihm, I., Case study: Construction of sogang volume
rendering system V0.55. Computer Graphics Society '95, pp.112-114, Seoul, Korea,
November, 1995.
- Baek, K., Rhee, T., Lee, R., and Ihm, I., SGVR: Construction of scientific visualization
system for collaboration. Proceedings of the 22nd Korean Information
Science Society Fall Conference, Vol.22, No.2, pp. 563-566, Incheon, Korea, October, 1995.
Book Chapters
- Sajda, P., Baek, K., and Finkel, L., Bayesian networks for modeling cortical integration.
Handbook of Neural Engineering, M. Akay (Editor), Wiley/IEEE Press, 2007. pp.585-600.
- Sajda, P. and Baek, K., Integration of form and motion within a generative model of visual cortex.
Vision and Brain: How the Brain Sees - New Approaches to Computer Vision,
S. Grossberg, L. Finkel, and D.J. Field (Editors), Amsterdam: Elsevier Science & Technology Books, 2005.
pp.809-822.
Refereed Conference and Workshop Posters
- Poisson, G., Poisson, C., Coulombe-Murray, X., Bergeron, A., Belcaid, M., Ouangraoua, A., and Baek, K.,
Amalgamation of information. 22nd Annual International Conference on Intelligent Systems for
Molecular Biology (ISMB) - Art & Science Exhibition, Boston, MA, July 10-15, 2014.
- Menor, M., Baek, K., and Poisson, G.,
Prediction of mature miRNA and piRNA without a genome reference or precursors.
NIH, NIGMS Fifth Biennial National IDeA Symposium of Biomedical Research Excellence (NISBRE),
Washington, D.C., June 16-18, 2014.
- Belcaid, M., Poisson, G., Schanzenbach, D., and Baek, K.,
Inferring hierarchical population structure through a consensus of significant evolutionary events.
15th Annual International Conference on Research in Computational Molecular Biology (RECOMB),
Vancouver, BC, Canada, March 28-31, 2011.
- Baek, K. and Sajda, P., A probabilistic network model of the influence of local
figure-ground representations on the perception of motion. The 5th Annual Vision
Sciences Society (VSS) Meeting, Sarasota, Florida, May 6-11, 2005.
Non-Refereed Journal Articles
- Baek, K. and Sajda P.,
A probabilistic network model of the influence of local figure-ground representations on
the perception of motion. Journal of Vision, Vol.5, No.8, p.842.
(Abstract of the presentation made in VSS '05.) 2005.
Technical Reports
- Menor, M., Baek, K., and Poisson G.,
Multiple-genome annotation of genome fragments using hidden Markov model profiles.
Technical Report, Dept. of ICS, University of Hawaii at Manoa, Jan. 2008.
Dissertation and Thesis
- Baek, K.,
An algorithmic implementation of expert object recognition in the ventral visual pathway.
Ph.D. Dissertation, Department of Computer Science, Colorado State University, Fall 2002.
- Baek, K.,
On building a collaborative volume visualization system. Masters Thesis,
Department of Computer Science, Sogang University, Seoul, Korea, February 1996.
Last updated: July, 2019