| Truly shift-invariant convolutional neural networks A Chaman, I Dokmanic Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 123 | 2021 |
| Ghostbuster: Detecting the presence of hidden eavesdroppers A Chaman, J Wang, J Sun, H Hassanieh, R Roy Choudhury Proceedings of the 24th annual international conference on mobile computing …, 2018 | 102 | 2018 |
| Learning multiscale convolutional dictionaries for image reconstruction T Liu, A Chaman, D Belius, I Dokmanić IEEE Transactions on Computational Imaging 8, 425-437, 2022 | 41 | 2022 |
| Template matching for inventory management using fuzzy color histogram and spatial filters NK Verma, A Goyal, A Chaman, RK Sevakula, A Salour Industrial Electronics and Applications (ICIEA), 2015 IEEE 10th Conference …, 2015 | 23 | 2015 |
| Truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling A Chaman, I Dokmanić 2021 55th Asilomar Conference on Signals, Systems, and Computers, 1113-1120, 2021 | 17 | 2021 |
| FunkNN: Neural interpolation for functional generation AE Khorashadizadeh, A Chaman, V Debarnot, I Dokmanić arXiv preprint arXiv:2212.14042, 2022 | 10 | 2022 |
| Multipath-enabled private audio with noise A Chaman, YJ Liu, J Casebeer, I Dokmanić ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 5 | 2019 |
| Interpreting U-nets via task-driven multiscale dictionary learning T Liu, A Chaman, D Belius, I Dokmanic arXiv preprint arXiv:2011.12815, 2020 | 4 | 2020 |
| Detecting the presence of hidden wireless eavesdroppers A Chaman University of Illinois at Urbana-Champaign, 2018 | 3 | 2018 |
| Sampling, non-linearities and scales: rethinking convolutional neural networks from a signal processing perspective A Chaman University of Illinois at Urbana-Champaign, 2024 | | 2024 |
Ivan DokmanićAssociate Professor, Department of Mathematics and Computer Science, University of BaselVerified email at illinois.edu
