Compressive sensing for the photonic mixer device M Heredia Conde Compressive Sensing for the Photonic Mixer Device: Fundamentals, Methods and …, 2017 | 63 | 2017 |
One-bit time-resolved imaging A Bhandari, MH Conde, O Loffeld IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (7), 1630-1641, 2020 | 28 | 2020 |
A nullspace based L1 minimizing Kalman filter approach to sparse CS reconstruction O Loffeld, A Seel, MH Conde, L Wang Proceedings of EUSAR 2016: 11th European Conference on Synthetic Aperture …, 2016 | 22 | 2016 |
From weighted least squares estimation to sparse CS reconstruction O Loffeld, T Espeter, MH Conde 2015 3rd International Workshop on Compressed Sensing Theory and its …, 2015 | 18 | 2015 |
A material-sensing time-of-flight camera MH Conde IEEE Sensors Letters 4 (7), 1-4, 2020 | 17 | 2020 |
Pseudo-passive time-of-flight imaging: Simultaneous illumination, communication, and 3D sensing F Ahmed, MH Conde, PL Martínez, T Kerstein, B Buxbaum IEEE Sensors Journal 22 (21), 21218-21231, 2022 | 15 | 2022 |
Sparse CS reconstruction by nullspace based l1 minimizing Kalman filtering O Loffeld, A Seel, MH Conde, L Wang 2016 International Conference on Communications (COMM), 449-454, 2016 | 15 | 2016 |
Fast multipath estimation for PMD sensors MH Conde, T Kerstein, B Buxbaum, O Loffeld 5th International Workshop on Compressed Sensing Theory and its Applications …, 2018 | 14 | 2018 |
Adaptive high dynamic range for time-of-flight cameras MH Conde, K Hartmann, O Loffeld IEEE Transactions on Instrumentation and Measurement 64 (7), 1885-1906, 2014 | 14 | 2014 |
Single-shot real-time multiple-path time-of-flight depth imaging for multi-aperture and macro-pixel sensors MH Conde, K Kagawa, T Kokado, S Kawahito, O Loffeld ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 11 | 2020 |
Low-light image enhancement for multiaperture and multitap systems MH Conde, B Zhang, K Kagawa, O Loffeld IEEE Photonics Journal 8 (2), 1-25, 2016 | 10 | 2016 |
A genetic algorithm for compressive sensing sparse recovery MH Conde, O Loffeld 2017 IEEE International Symposium on Signal Processing and Information …, 2017 | 8 | 2017 |
Sparsity-aware 3-d tof sensing AL Paredes, MH Conde, O Loffeld IEEE Sensors Journal 23 (4), 3973-3989, 2023 | 7 | 2023 |
Fast approximate construction of best complex antipodal spherical codes MH Conde, O Loffeld arXiv preprint arXiv:1705.03280, 2017 | 7 | 2017 |
Efficient and robust inverse lighting of a single face image using compressive sensing M Heredia Conde, D Shahlaei, V Blanz, O Loffeld Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 7 | 2015 |
Subpixel spatial response of PMD pixels MH Conde, K Hartmann, O Loffeld 2014 IEEE International Conference on Imaging Systems and Techniques (IST …, 2014 | 7 | 2014 |
A 2-tap macro-pixel-based indirect ToF CMOS image sensor for multi-frequency demodulation PF Shahandashti, P López, VM Brea, D García-Lesta, M Heredia-Conde 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 1430-1434, 2022 | 6 | 2022 |
Pseudo-passive indoor ToF sensing exploiting visible light communication sources F Ahmed, MH Conde, O Loffeld 2021 IEEE Sensors, 1-4, 2021 | 6 | 2021 |
Sparse signal recovery via kalman-filter-based ℓ1 minimization DA Hage, MH Conde, O Loffeld Signal Processing 171, 107487, 2020 | 6 | 2020 |
Performance Evaluation of State-of-the-Art High-Resolution Time-of-Flight Cameras AL Paredes, Q Song, MH Conde IEEE Sensors Journal 23 (12), 13711-13727, 2023 | 5 | 2023 |