| Improved static hand gesture classification on deep convolutional neural networks using novel sterile training technique JW Smith, S Thiagarajan, R Willis, Y Makris, M Torlak Ieee Access 9, 10893-10902, 2021 | 55 | 2021 |
| Efficient 3-D near-field MIMO-SAR imaging for irregular scanning geometries JW Smith, M Torlak IEEE Access 10, 10283-10294, 2022 | 50 | 2022 |
| Near-field MIMO-ISAR millimeter-wave imaging JW Smith, ME Yanik, M Torlak 2020 IEEE Radar Conference (RadarConf20), 1-6, 2020 | 27 | 2020 |
| An FCNN-based super-resolution mmWave radar framework for contactless musical instrument interface JW Smith, O Furxhi, M Torlak IEEE Transactions on Multimedia 24, 2315-2328, 2021 | 20 | 2021 |
| Efficient CNN-based super resolution algorithms for mmWave mobile radar imaging C Vasileiou, J Smith, S Thiagarajan, M Nigh, Y Makris, M Torlak 2022 IEEE International Conference on Image Processing (ICIP), 3803-3807, 2022 | 17 | 2022 |
| A vision transformer approach for efficient near-field SAR super-resolution under array perturbation JW Smith, Y Alimam, G Vedula, M Torlak 2022 IEEE Texas Symposium on Wireless and Microwave Circuits and Systems …, 2022 | 14 | 2022 |
| Complex-valued neural networks for data-driven signal processing and signal understanding JW Smith arXiv preprint arXiv:2309.07948, 2023 | 9 | 2023 |
| Deep-Learning-Based Multiband Signal Fusion for 3-D SAR Superresolution JW Smith, M Torlak IEEE Transactions on Aerospace and Electronic Systems 60 (1), 8-24, 2023 | 9 | 2023 |
| Novel Hybrid-Learning Algorithms for Improved Millimeter-Wave Imaging Systems J Smith arXiv preprint arXiv:2306.15341, 2023 | 4 | 2023 |
| Frequency Estimation Using Complex-Valued Shifted Window Transformer JW Smith, M Torlak IEEE Geoscience and Remote Sensing Letters, 2024 | 1 | 2024 |
| Emerging Approaches for THz Array Imaging: A Tutorial Review and Software Tool JW Smith, M Torlak arXiv preprint arXiv:2309.08844, 2023 | 1 | 2023 |
| Dual Radar SAR Controller J Smith arXiv preprint arXiv:2309.00006, 2023 | 1 | 2023 |
| Deep Learning-Based Multiband Signal Fusion for 3-D SAR Super-Resolution JW Smith, M Torlak US Patent App. 18/483,904, 2024 | | 2024 |
| Cutting-Edge Techniques for Depth Map Super-Resolution R Peterson, J Smith arXiv preprint arXiv:2306.15244, 2023 | | 2023 |
Murat TorlakProfessor of Electrical Engineering, University of Texas at Dallas在 utdallas.edu 的电子邮件经过验证
