Staff profile

• Statistical modelling of shape and geometric structure
• Computer vision, image processing, and other applications
• Bayesian statistics

Authored book

• Elastic Shape Analysis of Three-Dimensional Objects
  Jermyn, I. H., Kurtek, S., Laga, H., & Srivastava, A. (2017). Elastic Shape Analysis of Three-Dimensional Objects. Springer. https://doi.org/10.1007/978-3-031-01819-0

Chapter in book

• Elastic shape analysis of surfaces and images
  Kurtek, S., Jermyn, I., Xie, Q., & Klassen, E. (2016). Elastic shape analysis of surfaces and images. In P. K. Turaga, & A. Srivastava (Eds.), Riemannian computing and statistical inferences in computer vision (257-277). Springer Verlag. https://doi.org/10.1007/978-3-319-22957-7_12
• Shape as an emergent property
  Jermyn, I. H. (2013). Shape as an emergent property. In S. Dickinson, & Z. Pizlo (Eds.), Shape perception in human and computer vision : an interdisciplinary perspective (187-199). Springer Verlag. https://doi.org/10.1007/978-1-4471-5195-1_13
• Detection and recognition of a collection of objects in a scene
  Descombes, X., & Jermyn, I. (2010). Detection and recognition of a collection of objects in a scene. In A. Mohammad-Djafari (Ed.), Inverse Problems in Vision and 3D Tomography. ISTE, Wiley

Conference Paper

• Assessing the Non-Uniqueness of a Well Test Interpretation Model Using a Bayesian Approach
  Cumming, J., Botsas, T., Jermyn, I., & Gringarten, A. (2020, December). Assessing the Non-Uniqueness of a Well Test Interpretation Model Using a Bayesian Approach. Presented at SPE Virtual Europec 2020
• Statistical Characterisation of Fluvial Sand Bodies: Implications for Complex Reservoir Models
  Franzel, M., Jones, S., Jermyn, I., Allen, M., & McCaffrey, K. (2019, December). Statistical Characterisation of Fluvial Sand Bodies: Implications for Complex Reservoir Models. Presented at Petroleum Geostatistics 2019
• Shape-constrained and unconstrained density estimation using geometric exploration
  Dasgupta, S., Pati, D., Jermyn, I. H., & Srivastava, A. (2018, June). Shape-constrained and unconstrained density estimation using geometric exploration. Presented at IEEE Statistical Signal Processing Workshop (SSP)., Freiburg, Germany
• Elastic 3D shape analysis using square-root normal field representation
  Laga, H., Jermyn, I. H., Kurtek, S., & Srivastava, A. (2017, December). Elastic 3D shape analysis using square-root normal field representation. Presented at 56th IEEE Conference on Decision and Control., Melbourne, Australia
• Numerical inversion of SRNFs for efficient elastic shape analysis of star-shaped objects
  Xie, Q., Jermyn, I., Kurtek, S., & Srivastava, A. (2014, September). Numerical inversion of SRNFs for efficient elastic shape analysis of star-shaped objects. Presented at Proc. European Conference on Computer Vision (ECCV), Zurich
• A multi-layer phase field model for extracting multiple near-circular objects
  Molnar, C., Kato, Z., & Jermyn, I. (2012, November). A multi-layer phase field model for extracting multiple near-circular objects. Presented at 21st International Conference on Pattern Recognition (ICPR2012)., Tsukuba, Japan
• Elastic shape matching of parameterized surfaces using square root normal fields
  Jermyn, I. H., Kurtek, S., Klassen, E., & Srivastava, A. (2012, October). Elastic shape matching of parameterized surfaces using square root normal fields. Presented at 12th European Conference on Computer Vision (ECCV), Florence, Italy
• A phase field method for tomographic reconstruction from limited data
  Hewett, R. J., Jermyn, I., Heath, M. T., & Kamalabadi, F. (2012, September). A phase field method for tomographic reconstruction from limited data. Presented at British Machine Vision Conference 2012 (BMVC), Guildford, Surrey
• A multi-layer `gas of circles' Markov random field model for the extraction of overlapping near-circular objects
  Nemeth, J., Kato, Z., & Jermyn, I. (2011, August). A multi-layer `gas of circles' Markov random field model for the extraction of overlapping near-circular objects. Presented at 13th International Conference Advanced Concepts for Intelligent Vision Systems (ACIVS 2011), Ghent
• A theoretical and numerical study of a phase field higher-order active contour model of directed networks
  El Ghoul, A., Jermyn, I., & Zerubia, J. (2010, November). A theoretical and numerical study of a phase field higher-order active contour model of directed networks. Presented at 10th Asian Conference on Computer Vision, Queenstown
• Segmentation of networks from VHR remote sensing images using a directed phase field HOAC model
  El Ghoul, A., Jermyn, I., & Zerubia, J. (2010, September). Segmentation of networks from VHR remote sensing images using a directed phase field HOAC model. Presented at ISPRS-Technical-Commission III Symposium on Photogrammetric Computer Vision and Image Analysis (PCV), Saint Mande
• Extraction of arbitrarily shaped objects using stochastic multiple birth-and-death dynamics and active contours
  Kulikova, M., Jermyn, I., Descombes, X., Zhizhina, E., & Zerubia, J. (2010, January). Extraction of arbitrarily shaped objects using stochastic multiple birth-and-death dynamics and active contours. Presented at SPIE Conference on Electronic Imaging, San Jose, USA
• A marked point process model with strong prior shape information for extraction of multiple, arbitrarily-shaped objects
  Kulikova, M., Jermyn, I., Descombes, X., Zhizhina, E., & Zerubia, J. (2009, December). A marked point process model with strong prior shape information for extraction of multiple, arbitrarily-shaped objects. Presented at Fifth International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2009, Marrakesh
• A Markov random field model for extracting near-circular shapes
  Blaskovics, T., Kato, Z., & Jermyn, I. (2009, November). A Markov random field model for extracting near-circular shapes. Presented at 16th IEEE International Conference on Image Processing (ICIP) 2009, Cairo
• A phase field higher-order active contour model of directed networks
  El Ghoul, A., Jermyn, I., & Zerubia, J. (2009, September). A phase field higher-order active contour model of directed networks. Presented at 2009 IEEE 12th International Conference on Computer Vision Workshops (Non-Rigid Shape Analysis and Deformable Image Alignment), at ICCV, Kyoto
• Inflection point model under phase field higher-order active contours for network extraction from VHR satellite images
  El Ghoul, A., Jermyn, I., & Zerubia, J. (2009, August). Inflection point model under phase field higher-order active contours for network extraction from VHR satellite images. Presented at 17th European Signal Processing Conference 2009, Glasgow, Scotland
• Segmentation of Circular Objects using Markov Random Fields. = Kör alakú objektumok szegmentálása Markov mezõ segítségével.
  Blaskovics, T., Jermyn, I., & Kato, Z. (2009, January). Segmentation of Circular Objects using Markov Random Fields. = Kör alakú objektumok szegmentálása Markov mezõ segítségével. Presented at 8th Conference of the Hungarian Association for Image Analysis and Pattern Recognition (KEPAF), Budapest, Hungary
• Lattice Green functions and diffusion for modelling traffic routing in ad hoc networks
  Sigelle, M., Jermyn, I., Perreau, S., & Jayasuriya, A. (2009, December). Lattice Green functions and diffusion for modelling traffic routing in ad hoc networks. Presented at 7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, 2009. WiOPT 2009., Seoul
• Bayesian classification of shapes hidden in point cloud data
  Srivastava, A., & Jermyn, I. (2009, January). Bayesian classification of shapes hidden in point cloud data. Presented at IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009 (DSP/SPE 2009 ), Marco Island, USA
• Phase diagram of a long bar under a higher-order active contour energy: application to hydrographic network extraction from VHR satellite images
  El Ghoul, A., Jermyn, I., & Zerubia, J. (2008, December). Phase diagram of a long bar under a higher-order active contour energy: application to hydrographic network extraction from VHR satellite images. Presented at 19th International Conference on Pattern Recognition, Tampa, Florida
• An extended phase field higher-order active contour model for networks and its application to road network extraction from VHR satellite images
  Peng, T., Jermyn, I., Prinet, V., & Zerubia, J. (2008, October). An extended phase field higher-order active contour model for networks and its application to road network extraction from VHR satellite images. Presented at 10th European Conference on Computer Vision,, Marseille
• Indexing of mid-resolution satellite images with structural attributes
  Bhattacharya, A., Roux, M., Maitre, H., Jermyn, I., Descombes, X., & Zerubia, J. (2008, July). Indexing of mid-resolution satellite images with structural attributes. Presented at Proc. InternXXIst ISPRS Congress, Technical Commission IVational Society for Photogrammetry and Remote Sensing (ISPRS), Beijing
• Extraction of main and secondary roads in VHR images using a higher-order phase field model
  Peng, T., Jermyn, I., Prinet, V., & Zerubia, J. (2008, July). Extraction of main and secondary roads in VHR images using a higher-order phase field model. Presented at XXIst ISPRS Congress Technical Commission III, Beijing
• Phase field higher-order active contours for object extraction from remote sensing images
  Jermyn, I. H. (2008, March). Phase field higher-order active contours for object extraction from remote sensing images. Presented at European Space Agency/European Union Satellite Centre Conference on Image Information Mining, Madrid, Spain
• Phase diagram of a higher-order active contour energy: the case of a long bar
  El Ghoul, A., Jermyn, I., & Zerubia, J. (2008, January). Phase diagram of a higher-order active contour energy: the case of a long bar. Presented at Reconnaissance des formes et Intelligence Artificielle, Amiens, France

Journal Article

• Paralogues of the PXY and ER receptor kinases enforce radial patterning in plant vascular tissue
  Wang, N., Bagdassarian, K. S., Doherty, R. E., Wang, X. Y., Kroon, J. T., Wang, W., Jermyn, I. H., Turner, S. R., & Etchells, J. P. Paralogues of the PXY and ER receptor kinases enforce radial patterning in plant vascular tissue. https://doi.org/10.1101/357244. Manuscript submitted for publication
• Structured prior distributions for the covariance matrix in latent factor models
  Heaps, S. E., & Jermyn, I. H. (2024). Structured prior distributions for the covariance matrix in latent factor models. Statistics and Computing, 34(4), Article 143. https://doi.org/10.1007/s11222-024-10454-0
• A Bayesian multi-region radial composite reservoir model for deconvolution in well test analysis
  Botsas, T., Cumming, J., & Jermyn, I. (2022). A Bayesian multi-region radial composite reservoir model for deconvolution in well test analysis. Journal of the Royal Statistical Society: Series C, 71(4), 951-968. https://doi.org/10.1111/rssc.12562
• 4D Atlas: Statistical Analysis of the Spatio-Temporal Variability in Longitudinal 3D Shape Data
  Laga, H., Padilla, M., Jermyn, I. H., Kurtek, S., Bennamoun, M., & Srivastava, A. (2022). 4D Atlas: Statistical Analysis of the Spatio-Temporal Variability in Longitudinal 3D Shape Data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2), 1335 - 1352. https://doi.org/10.1109/tpami.2022.3163720
• Modality-Constrained Density Estimation via Deformable Templates
  Dasgupta, S., Pati, D., Jermyn, I. H., & Srivastava, A. (2021). Modality-Constrained Density Estimation via Deformable Templates. Technometrics, 63(4), 536-547. https://doi.org/10.1080/00401706.2020.1867647
• Versatile method for quantifying and analyzing morphological differences in experimentally obtained images
  Bagdassarian, K., Connor, K., Jermyn, I., & Etchells, J. (2020). Versatile method for quantifying and analyzing morphological differences in experimentally obtained images. Plant Signaling & Behavior, 15(1), Article 1693092. https://doi.org/10.1080/15592324.2019.1693092
• Organ-specific genetic interactions between paralogues of the PXY and ER receptor kinases enforce radial patterning in Arabidopsis vascular tissue
  Wang, N., Bagdassarian, K., Doherty, R., Kroon, J., Connor, K., Wang, X., Wang, W., Jermyn, I., Turner, S., & Etchells, J. (2019). Organ-specific genetic interactions between paralogues of the PXY and ER receptor kinases enforce radial patterning in Arabidopsis vascular tissue. Development, 146(10), Article 177105. https://doi.org/10.1242/dev.177105
• Numerical Inversion of SRNF Maps for Elastic Shape Analysis of Genus-Zero Surfaces
  Laga, H., Xie, Q., Jermyn, I. H., & Srivastava, A. (2017). Numerical Inversion of SRNF Maps for Elastic Shape Analysis of Genus-Zero Surfaces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(12), 2451-2464. https://doi.org/10.1109/tpami.2016.2647596
• Accurate Morphology Preserving Segmentation of Overlapping Cells based on Active Contours
  Molnar, C., Jermyn, I. H., Kato, Z., Rahkama, V., Östling, P., Mikkonen, P., Pietiäinen, V., & Horvath, P. (2016). Accurate Morphology Preserving Segmentation of Overlapping Cells based on Active Contours. Scientific Reports, 6, Article 32412. https://doi.org/10.1038/srep32412
• Shape analysis of elastic curves in Euclidean spaces
  Srivastava, A., Klassen, E., Joshi, S., & Jermyn, I. (2011). Shape analysis of elastic curves in Euclidean spaces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(7), 1415-1428. https://doi.org/10.1109/tpami.2010.184
• A marked point process model including strong prior shape information applied to multiple object extraction from images
  Kulikova, M., Jermyn, I., Descombes, X., Zhizhina, E., & Zerubia, J. (2011). A marked point process model including strong prior shape information applied to multiple object extraction from images. International Journal of Computer Vision and Image Processing, 1(2), 1-12. https://doi.org/10.4018/ijcvip.2011040101
• Extended phase field higher-order active contour models for networks
  Peng, T., Jermyn, I., Prinet, V., & Zerubia, J. (2010). Extended phase field higher-order active contour models for networks. International Journal of Computer Vision, 88(1), 111-128. https://doi.org/10.1007/s11263-009-0304-3
• Looking for shapes in two-dimensional, cluttered point clouds
  Srivastava, A., & Jermyn, I. (2009). Looking for shapes in two-dimensional, cluttered point clouds. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(9), 1616-1629. https://doi.org/10.1109/tpami.2008.223
• A higher-order active contour model of a `gas of circles' and its application to tree crown extraction
  Horváth, P., Jermyn, I., Kato, Z., & Zerubia, J. (2009). A higher-order active contour model of a `gas of circles' and its application to tree crown extraction. Pattern Recognition, 42(5), 699-709. https://doi.org/10.1016/j.patcog.2008.09.008
• Incorporating generic and specific prior knowledge in a multiscale phase field model for road extraction from VHR images
  Peng, T., Jermyn, I., Prinet, V., & Zerubia, J. (2008). Incorporating generic and specific prior knowledge in a multiscale phase field model for road extraction from VHR images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1(2), 139-146. https://doi.org/10.1109/jstars.2008.922318