| A shearlet approach to edge analysis and detection S Yi, D Labate, GR Easley, H Krim IEEE Transactions on Image Processing 18 (5), 929-941, 2009 | 477 | 2009 |
| Only train once: A one-shot neural network training and pruning framework T Chen, B Ji, T Ding, B Fang, G Wang, Z Zhu, L Liang, Y Shi, S Yi, X Tu Advances in Neural Information Processing Systems 34, 19637-19651, 2021 | 140 | 2021 |
| Edge detection and processing using shearlets S Yi, D Labate, GR Easley, H Krim 2008 15th IEEE International Conference on Image Processing, 1148-1151, 2008 | 40 | 2008 |
| A zero-watermarking algorithm based on DWT and chaotic modulation H Cao, H Xiang, X Li, M Liu, S Yi, F Wei Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and …, 2006 | 32 | 2006 |
| Orthant Based Proximal Stochastic Gradient Method for -Regularized Optimization T Chen, T Ding, B Ji, G Wang, Y Shi, J Tian, S Yi, X Tu, Z Zhu Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 30 | 2021 |
| Neural network compression via sparse optimization T Chen, B Ji, Y Shi, T Ding, B Fang, S Yi, X Tu arXiv preprint arXiv:2011.04868, 2020 | 17 | 2020 |
| Evaluating documents with embedded mathematical expressions S Yi, N Nikolic, X Tu, I Stojiljkovic, J Mojasevic US Patent 10,540,424, 2020 | 11 | 2020 |
| Human activity as a manifold-valued random process S Yi, H Krim, LK Norris IEEE Transactions on Image Processing 21 (8), 3416-3428, 2012 | 10 | 2012 |
| Spatially sparse convolutional neural networks for inking applications T Chen, Y Shi, S Yi US Patent 11,188,744, 2021 | 9 | 2021 |
| Half-space proximal stochastic gradient method for group-sparsity regularized problem T Chen, G Wang, T Ding, B Ji, S Yi, Z Zhu arXiv preprint arXiv:2009.12078, 2020 | 8 | 2020 |
| False positive reduction of microcalcification cluster detection in digital breast tomosynthesis N Xu, S Yi, P Mendonca, T Tian, R Samala, HP Chan Medical Imaging 2014: Image Processing 9034, 674-680, 2014 | 8 | 2014 |
| Human activity modeling as brownian motion on shape manifold S Yi, H Krim, LK Norris International Conference on Scale Space and Variational Methods in Computer …, 2011 | 8 | 2011 |
| System and method for drawing beautification T Chen, X Tu, S Yi, KT Beck, RL Townsend, ML Fu US Patent 10,733,710, 2020 | 4 | 2020 |
| Line tracking with automatic model initialization by graph matching and cycle detection S Yi, A Swaminathan, B Jiang, SHN Shoushtari US Patent 9,582,896, 2017 | 4 | 2017 |
| Visually enhanced digital ink Y Sun, S Yi, X Tu US Patent 11,023,661, 2021 | 3 | 2021 |
| A Half-Space Stochastic Projected Gradient Method for Group Sparsity Regularization T Chen, G Wang, D Tianyu, B Ji, S Yi, Z Zhu | 3 | 2020 |
| A invertible dimension reduction of curves on a manifold S Yi, H Krim, LK Norris 2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011 | 3 | 2011 |
| Shape dynamic analysis S Yi North Carolina State University, 2011 | 3 | 2011 |
| Semantic segmentation for stroke classification in inking application T Chen, G Ganesan, F Biyi, S Yi US Patent 11,631,262, 2023 | 2 | 2023 |
| Subspace Learning of Dynamics on a Shape Manifold: A Generative Modeling Approach S Yi, H Krim IEEE Transaction on Image Processing 23 (11), 4907 - 4919, 2014 | 2 | 2014 |
Hamid KrimProfessor of ECE, Director of VISSTA Laboratory, North Carolina State UniversityPreverjeni e-poštni naslov na ncsu.edu