Jooyoung Hahn

The list of papers can be also viewed in the following links.

Park, Y., Song, C. H., T., Hahn, J., Kang., M, ReSDF: Redistancing implicit surfaces using neural networks, Journal of Computational Physics, v502, 112803, 2024. DOI: 10.1016/j.jcp.2024.112803
Hahn, J., Mikula, K., Frolkovič, P., Laplacian regularized eikonal equation with Soner boundary condition on polyhedral meshes, Computers & Mathematics with Applications, v156, pp. 74-86, 2024. DOI: 10.1016/j.camwa.2023.12.016

Park, Y., Lee, T., Hahn, J., Kang., M, p-Poisson surface reconstruction in curl-free flow from point clouds, Thirty-seventh Conference on Neural Information Processing Systems, 2023. Paper Link Open Review
Park, Y., Song, C. H., Hahn, J. Kang, M., ReSDF: Redistancing Implicit Surfaces using Neural Networks, arXiv:2305.081744, 2023. DOI: 10.48550/arXiv.2305.08174

Hahn, J., Mikula, K., Frolkovič, P., Priesching, P., Balažovjech, M., Basara, B., Second-order accurate finite volume method for G-equation on polyhedral meshes, Japan Journal of Industrial and Applied Mathematics, 2023. DOI: 10.1007/s13160-023-00574-x

Hahn, J., Mikula, K., Frolkovič, Laplacian regularized eikonal equation with Soner boundary condition on polyhedral meshes, arXiv:2301.11656, 2023. DOI: 10.48550/arXiv.2301.11656

Hahn, J., Mikula, K., Frolkovič, P., Basara, B., Finite volume method with the Soner boundary condition for computing the signed distance function on polyhedral meshes, International Journal for Numerical Methods in Engineering, 2022, 123(4), pp. 1057-1077. DOI: 10.1002/nme.6888

Frolkovič, P., Mikula, K., Hahn, J., Martin, D., Basara, B., Flux balanced approximation with least-squares gradient for diffusion equation on polyhedral mesh, Discrete and Continuous Dynamical Systems - Series S, 2021, 14(3), pp. 865-879. DOI: 10.3934/dcdss.2020350

Pyszczek, R., Hahn, J., Priesching, P., Teodorczyk, A., Numerical Modeling of Spark Ignition in Internal Combustion Engines, Journal of Energy Resources Technology, Transactions of the ASME, 2020, 142(2), 022202 EN. DOI: 10.1115/1.4044222
Hahn, J., Mikula, K., Frolkovič, P., Balažovjech, M., Basara, B., Cell-centered finite volume method for regularized mean curvature flow on polyhedral meshes, In: Klöfkorn, R., Keilegavlen, E., Radu, F.A., Fuhrmann, J. (eds) Finite Volumes for Complex Applications IX - Methods, Theoretical Aspects, Examples. FVCA 2020, Springer Proceedings in Mathematics & Statistics, vol 323, Springer, Cham, pp. 755-763. DOI: 10.1007/978-3-030-43651-3_72

Hahn, J., Mikula, K., Frolkovič, P., Medl'a, M., Basara, B., Iterative inflow-implicit outflow-explicit finite volume scheme for level-set equations on polyhedron meshes, Computers and Mathematics with Applications, 2019, 77(6), pp. 1639-1654. DOI: 10.1016/j.camwa.2018.06.033

Hahn, J., Mikula, K., Frolkovič, P., Basara, B., Inflow-Based Gradient Finite Volume Method for a Propagation in a Normal Direction in a Polyhedron Mesh, Journal of Scientific Computing, 2017, 72, pp. 442-465. DOI: 10.1007/s10915-017-0364-4
Hahn, J., Mikula, K., Frolkovič, P., Basara, B., Semi-implicit level set method with inflow-based gradient in a polyhedron mesh, In: Cancès, C., Omnes, P. (eds) Finite Volumes for Complex Applications VIII - Hyperbolic, Elliptic and Parabolic Problems. FVCA 2017, Springer Proceedings in Mathematics & Statistics, vol 200. Springer, Cham, pp. 81-89. DOI: 10.1007/978-3-319-57394-6_9

Hintermüller, M., Rautenberg, C.N., Hahn, J., Functional-analytic and numerical issues in splitting methods for total variation-based image reconstruction, Inverse Problems, 2014, 30(5), 055014. DOI: 10.1088/0266-5611/30/5/055014

Duan, Y., Wang, Y., Hahn, J., A fast augmented Lagrangian method for Euler's elastica models, Numerical Mathematics: Theory, Methods and Applications, 2013, 6(1), pp. 47-71. DOI: 10.4208/nmtma.2013.mssvm03
Hahn, J., Qiu, J., Sugisaki, E., Jia, L., Tai, X.-C., Seah, H.S., Stroke-based surface reconstruction, Numerical Mathematics: Theory, Methods and Applications, 2013, 6(1), pp. 297-324. DOI: 10.4208/nmtma.2013.mssvm16

Duan, Y., Wang, Y., Tai, X.-C., Hahn, J., A fast augmented Lagrangian method for Euler's elastica model, In: Bruckstein, A.M., ter Haar Romeny, B.M., Bronstein, A.M., Bronstein, M.M. (eds) Scale Space and Variational Methods in Computer Vision, Lecture Notes in Computer Science, vol 6667, Springer, Berlin, Heidelberg, pp. 144-156. DOI: 10.1007/978-3-642-24785-9_13
Hahn, J., Wu, C., Tai, X.-C., Augmented Lagrangian method for generalized TV-stokes model, Journal of Scientific Computing, 2012, 50, pp. 235-264. DOI: 10.1007/s10915-011-9482-6
Hahn, J., Chung, G.J., Wang, Y., Tai, X.-C., Fast algorithms for p-elastica energy with the application to image inpainting and curve reconstruction, In: Bruckstein, A.M., ter Haar Romeny, B.M., Bronstein, A.M., Bronstein, M.M. (eds) Scale Space and Variational Methods in Computer Vision, Lecture Notes in Computer Science, vol 6667, Springer, Berlin, Heidelberg, pp. 169-182. DOI: 10.1007/978-3-642-24785-9_15

Hahn, J., Tai, X.-C., Borok, S., Bruckstein, A.M., Orientation-matching minimization for image denoising and inpainting, International Journal of Computer Vision, 2011, 92, pp. 308-324. DOI: 10.1007/s11263-010-0371-5
Tai, X.-C., Hahn, J., Chung, G.J., A Fast Algorithm for Euler's Elastica Model Using Augmented Lagrangian Method, SIAM Journal on Imaging Sciences, 2011, 4(1)}, pp. 313-344. DOI: 10.1137/100803730

Hahn, J., Lee, C.-O., Geometric attraction-driven flow for image segmentation and boundary detection, Journal of Visual Communication and Image Representation, 2010, 21(1), pp. 56-66. DOI: 10.1016/j.jvcir.2009.10.005

Hahn, J., Lee, C.-O., A nonlinear structure tensor with the diffusivity matrix composed of the image gradient, Journal of Mathematical Imaging and Vision, 2009, 34, pp. 137-151. DOI: 10.1007/s10851-009-0138-1
Tai, X.-C., Borok, S., Hahn, J., Image denoising using TV-stokes equation with an orientation-matching minimization, In: Tai, X.-C., Mørken, K., Lysaker, M., Lie, K.A. (eds) Scale Space and Variational Methods in Computer Vision, Lecture Notes in Computer Science, vol 5567, Springer, Berlin, Heidelberg, pp. 490-501. DOI: 10.1007/978-3-642-02256-2_41

Kwon, M.J., Hahn, J., Park, H., A fast spherical inflation method of the cerebral cortex by deformation of a simplex mesh on the polar coordinates, International Journal of Imaging Systems and Technology, 2008, 18, pp. 9-16. DOI: 10.1002/ima.20140

Lee, C.-O., Jeon, K., Ha, Y., Hahn, J., A variational approach to blending based on warping for non-overlapped images, Computer Vision and Image Understanding, 2007, 105(2), pp. 112-120. DOI: 10.1016/j.cviu.2006.09.001

Lee, S.-H., Seo, J.K., Park, C., Lee, B.I., Woo, E.J., Lee, S.Y., Kwon, O., Hahn, J., Conductivity image reconstruction from defective data in MREIT: Numerical simulation and animal experiment, IEEE Transactions on Medical Imaging, 2006, 25(2), pp. 168-176. DOI: 10.1109/TMI.2005.862150

Papers