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. (pp. 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. (pp. 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). Assessing the Non-Uniqueness of a Well Test Interpretation Model Using a Bayesian Approach. In SPE Virtual Europec 2020 ; proceedings. (p. SPE-200617-MS). Society of Petroleum Engineers (SPE). https://doi.org/10.2118/200617-ms
• Statistical Characterisation of Fluvial Sand Bodies: Implications for Complex Reservoir Models
  
  Franzel, M., Jones, S., Jermyn, I., Allen, M., & McCaffrey, K. (2019, September). Statistical Characterisation of Fluvial Sand Bodies: Implications for Complex Reservoir Models. Presented at Petroleum Geostatistics 2019. https://doi.org/10.3997/2214-4609.201902215
• Shape-constrained and unconstrained density estimation using geometric exploration
  
  Dasgupta, S., Pati, D., Jermyn, I. H., & Srivastava, A. (2018). Shape-constrained and unconstrained density estimation using geometric exploration. In 2018 IEEE Statistical Signal Processing Workshop (SSP 2018) : 10-13 June 2018, Freiburg im Breisgau, Germany. (pp. 358-362). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ssp.2018.8450768
• Elastic 3D shape analysis using square-root normal field representation
  
  Laga, H., Jermyn, I. H., Kurtek, S., & Srivastava, A. (2017). Elastic 3D shape analysis using square-root normal field representation. In 2017 IEEE 56th Annual Conference on Decision and Control (CDC) : Melbourne, Australia, 12-15 December 2017 ; proceedings. (pp. 2711-2717). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/cdc.2017.8264053
• Numerical inversion of SRNFs for efficient elastic shape analysis of star-shaped objects
  
  Xie, Q., Jermyn, I., Kurtek, S., & Srivastava, A. (2014). Numerical inversion of SRNFs for efficient elastic shape analysis of star-shaped objects. In D. Fleet, T. Pajdla, B. Schiele, & T. Tuytelaars (Eds.), Computer vision - ECCV 2014 : 13th European Conference Zurich, Switzerland, September 6-12, 2014 ; proceedings, part V. (pp. 485-499). Springer Verlag. https://doi.org/10.1007/978-3-319-10602-1_32
• A multi-layer phase field model for extracting multiple near-circular objects
  
  Molnar, C., Kato, Z., & Jermyn, I. (2012). A multi-layer phase field model for extracting multiple near-circular objects. In ICPR 2012 : the 21st International Conference on Pattern Recognition, November 11-15, 2012, Tsukuba International Congress Center, Tsukuba Science City, Japan. (pp. 1427-1430). Institute of Electrical and Electronics Engineers.
• Elastic shape matching of parameterized surfaces using square root normal fields
  
  Jermyn, I. H., Kurtek, S., Klassen, E., & Srivastava, A. (2012). Elastic shape matching of parameterized surfaces using square root normal fields. In A. Fitzgibbon, S. Lazebnik, P. Perona, Y. Sato, & C. Schmid (Eds.), Computer vision - ECCV 2012 : 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012. Proceedings. Part V. (pp. 804-817). Springer Verlag. https://doi.org/10.1007/978-3-642-33715-4_58
• A phase field method for tomographic reconstruction from limited data
  
  Hewett, R. J., Jermyn, I., Heath, M. T., & Kamalabadi, F. (2012). A phase field method for tomographic reconstruction from limited data. In R. Bowden, J. Collomosse, & K. Mikolajczyk (Eds.), Proceedings of the British Machine Vision Conference (pp. 1-11). BMVA Press. https://doi.org/10.5244/c.26.120
• 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). A multi-layer `gas of circles’ Markov random field model for the extraction of overlapping near-circular objects. In J. Blanc-Talon, R. Kleihorst, W. Philips, D. Popescu, & P. Scheunders (Eds.), Advanced Concepts for Intelligent Vision Systems: 13th International Conference, ACIVS 2011, Ghent, Belgium, August 22-25, 2011, proceedings (pp. 171-182). Springer Verlag. https://doi.org/10.1007/978-3-642-23687-7_16
• 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). A theoretical and numerical study of a phase field higher-order active contour model of directed networks. In R. Kimmel, R. Klette, & A. Sugimoto (Eds.), Computer Vision – ACCV 2010: 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010 ; revised selected papers, Part II. (pp. 647-659). Springer Verlag. https://doi.org/10.1007/978-3-642-19309-5_50
• Segmentation of networks from VHR remote sensing images using a directed phase field HOAC model
  
  El Ghoul, A., Jermyn, I., & Zerubia, J. (2010). Segmentation of networks from VHR remote sensing images using a directed phase field HOAC model. In N. Paparoditis, M. PierrotDeseilligny, E. Mallet, & O. Tournaire (Eds.), PCV 2010: Photogrammetric computer vision and image analysis part 1. (pp. 215-220). International Society for Photogrammetry and Remote Sensing (ISPRS).
• 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). Extraction of arbitrarily shaped objects using stochastic multiple birth-and-death dynamics and active contours. In C. Bouman, I. Pollak, & P. Wolfe (Eds.), Computational Imaging VIII: proceedings of SPIE-IS&T Electronic Imaging.. SPIE. https://doi.org/10.1117/12.839191
• 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). A marked point process model with strong prior shape information for extraction of multiple, arbitrarily-shaped objects. In K. Yetongnon, R. Chbeir, & A. Dipanda (Eds.), The Fifth International Conference on Signal Image Technology & Internet Based Systems SITIS 2009 ; proceedings (pp. 180-186). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/sitis.2009.38
• A Markov random field model for extracting near-circular shapes
  
  Blaskovics, T., Kato, Z., & Jermyn, I. (2009). A Markov random field model for extracting near-circular shapes. In 2009 IEEE International Conference on Image Processing ICIP 2009 ; proceedings. (pp. 1073-1076). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/icip.2009.5413472
• A phase field higher-order active contour model of directed networks
  
  El Ghoul, A., Jermyn, I., & Zerubia, J. (2009). A phase field higher-order active contour model of directed networks. In 2009 IEEE 12th International Conference on Computer Vision Workshops ; proceedings. (pp. 398-404). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/iccvw.2009.5457672
• 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). Inflection point model under phase field higher-order active contours for network extraction from VHR satellite images. In 17th European Signal Processing Conference 2009 ; proceedings. (pp. 607-611). Institute of Electrical and Electronics Engineers.
• Segmentation of Circular Objects using Markov Random Fields. = Kör alakú objektumok szegmentálása Markov mezõ segítségével.
  
  Blaskovics, t, Jermyn, I., & Kato, Z. (2009). Segmentation of Circular Objects using Markov Random Fields. = Kör alakú objektumok szegmentálása Markov mezõ segítségével (T. Sziranyi & D. Chetverikov, Eds.).
• Lattice Green functions and diffusion for modelling traffic routing in ad hoc networks
  
  Sigelle, M., Jermyn, I., Perreau, S., & Jayasuriya, A. (2009). Lattice Green functions and diffusion for modelling traffic routing in ad hoc networks. In Final proceedings of the 2009 7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt 2009). (pp. 1-5). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/wiopt.2009.5291591
• Bayesian classification of shapes hidden in point cloud data
  
  Srivastava, A., & Jermyn, I. (2009). Bayesian classification of shapes hidden in point cloud data. In IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009 (DSP/SPE 2009) ; proceedings (pp. 359-364). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/dsp.2009.4785949
• 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). Phase diagram of a long bar under a higher-order active contour energy: application to hydrographic network extraction from VHR satellite images. In 19th International Conference on Pattern Recognition 2008, (ICPR 2008) (pp. 1-4). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/icpr.2008.4761894
• 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). An extended phase field higher-order active contour model for networks and its application to road network extraction from VHR satellite images. In D. Forsyth, P. Torr, & A. Zisserman (Eds.), Computer Vision - ECCV 2008 ; part III. (pp. 509-520). Springer Verlag. https://doi.org/10.1007/978-3-540-88690-7_38
• Indexing of mid-resolution satellite images with structural attributes
  
  Bhattacharya, A., Roux, M., Maitre, H., Jermyn, I., Descombes, X., & Zerubia, J. (2008). Indexing of mid-resolution satellite images with structural attributes. In C. Jun, J. Jie, & S. Nayak (Eds.), International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, part B4. (pp. 187-192). International Society for Photogrammetry and Remote Sensing.
• 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). Extraction of main and secondary roads in VHR images using a higher-order phase field model. In J. Chen, J. Jiang, & W. Förstner (Eds.), International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, part B3a. (pp. 215-222). International Society for Photogrammetry and Remote Sensing.
• Phase field higher-order active contours for object extraction from remote sensing images
  
  Jermyn, I. H. (2008). Phase field higher-order active contours for object extraction from remote sensing images. In Proceedings of European Space Agency/European Union Satellite Centre Conference on Image Information Mining.
• Phase diagram of a higher-order active contour energy: the case of a long bar
  
  El Ghoul, A., Jermyn, I., & Zerubia, J. (2008). Phase diagram of a higher-order active contour energy: the case of a long bar. In Proceedings of Reconnaissance des formes et Intelligence Artificielle.

Journal Article

• 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 (Applied Statistics), 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
• 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. (n.d.). Paralogues of the PXY and ER receptor kinases enforce radial patterning in plant vascular tissue. BioRxiv (Preprint Server for Biology) [Submitted].