| Real-time 3D reconstruction from single-photon lidar data using plug-and-play point cloud denoisers J Tachella, Y Altmann, N Mellado, A Mccarthy, R Tobin, GS Buller, ... Nature Communications 10, 2019 | 197 | 2019 |
| Advances in single-photon lidar for autonomous vehicles: Working principles, challenges, and recent advances J Rapp, J Tachella, Y Altmann, S McLaughlin, VK Goyal IEEE Signal Processing Magazine 37 (4), 62-71, 2020 | 121 | 2020 |
| Bayesian 3D reconstruction of complex scenes from single-photon lidar data J Tachella, Y Altmann, X Ren, A McCarthy, GS Buller, S Mclaughlin, ... SIAM Journal on Imaging Sciences 12 (1), 521-550, 2019 | 96 | 2019 |
| Equivariant Imaging: Learning Beyond the Range Space D Chen, J Tachella, ME Davies Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 89 | 2021 |
| Seeing Around Corners with Edge-Resolved Transient Imaging J Rapp, C Saunders, J Tachella, J Murray-Bruce, Y Altmann, JY Tourneret, ... Nature Communications 11 (5929), 2020 | 58 | 2020 |
| Robust equivariant imaging: a fully unsupervised framework for learning to image from noisy and partial measurements D Chen, J Tachella, ME Davies Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 51 | 2022 |
| Submerged single-photon LiDAR imaging sensor used for real-time 3D scene reconstruction in scattering underwater environments A Maccarone, K Drummond, A McCarthy, UK Steinlehner, J Tachella, ... Optics Express 31 (10), 16690-16708, 2023 | 35 | 2023 |
| The neural tangent link between CNN denoisers and non-local filters J Tachella, J Tang, M Davies Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 32* | 2021 |
| Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning D Chen, M Davies, MJ Ehrhardt, CB Schönlieb, F Sherry, J Tachella IEEE Signal Processing Magazine 40 (1), 134-147, 2023 | 25 | 2023 |
| A Sketching Framework for Reduced Data Transfer in Photon Counting Lidar MP Sheehan, J Tachella, ME Davies IEEE Transactions on Computational Imaging, 2021 | 25 | 2021 |
| Bayesian 3D Reconstruction of Subsampled Multispectral Single-photon Lidar Signals J Tachella, Y Altmann, M Márquez, H Arguello-Fuentes, JY Tourneret, ... IEEE Transactions on Computational Imaging, 2019 | 25 | 2019 |
| Sensing Theorems for Unsupervised Learning in Linear Inverse Problems J Tachella, D Chen, M Davies Journal of Machine Learning Research 24 (39), 1-45, 2023 | 23* | 2023 |
| 3D reconstruction using single-photon lidar data exploiting the widths of the returns J Tachella, Y Altmann, S McLaughlin, JY Tourneret ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 20 | 2019 |
| Robust 3d reconstruction of dynamic scenes from single-photon lidar using beta-divergences Q Legros, J Tachella, R Tobin, A McCarthy, S Meignen, GS Buller, ... IEEE Transactions on Image Processing 30, 1716-1727, 2020 | 18 | 2020 |
| Unsupervised Learning From Incomplete Measurements for Inverse Problems J Tachella, D Chen, M Davies NeurIPS 2022, 2022 | 16* | 2022 |
| Fast surface detection in single-photon lidar waveforms J Tachella, Y Altmann, S McLaughlin, JY Tourneret 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 11 | 2019 |
| On fast object detection using single-photon lidar data J Tachella, Y Altmann, S McLaughlin, JY Tourneret Wavelets and Sparsity XVIII 11138, 252-261, 2019 | 9 | 2019 |
| Bayesian restoration of high-dimensional photon-starved images J Tachella, Y Altmann, M Pereyra, S McLaughlin, JY Tourneret 2018 26th European Signal Processing Conference (EUSIPCO), 747-751, 2018 | 8 | 2018 |
| Surface detection for sketched single photon lidar MP Sheehan, J Tachella, ME Davies 2021 29th European Signal Processing Conference (EUSIPCO), 621-625, 2021 | 7 | 2021 |
| Sketched RT3D: How to reconstruct billions of photons per second J Tachella, MP Sheehan, ME Davies ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 6 | 2022 |
Stephen McLaughlinHeriot-Watt UniversityVerified email at hw.ac.uk
