| Tracking More Than 100 Arbitrary Objects at 25 FPS Through Deep Learning L Vaquero, VM Brea, M Mucientes Pattern Recognition, 108205, 2021 | 13 | 2021 |
| Depth estimation and image restoration by deep learning from defocused images S Nazir, L Vaquero, M Mucientes, VM Brea, D Coltuc IEEE Transactions on Computational Imaging, 2023 | 8 | 2023 |
| 2hded: Net for joint depth estimation and image deblurring from a single out-of-focus image S Nazir, L Vaquero, M Mucientes, VM Brea, D Coltuc 2022 IEEE International Conference on Image Processing (ICIP), 2006-2010, 2022 | 3 | 2022 |
| SiamMT: Real-Time Arbitrary Multi-Object Tracking L Vaquero, M Mucientes, VM Brea International Conference on Pattern Recognition (ICPR), 707-714, 2020 | 3 | 2020 |
| Real-time siamese multiple object tracker with enhanced proposals L Vaquero, VM Brea, M Mucientes Pattern Recognition 135, 109141, 2023 | 2 | 2023 |
| Visual Multi-Object Tracking through Deep Learning LV Otal Visual Multi-Object Tracking through Deep Learning, 2023 | | 2023 |
| Fast Multi-Object Tracking with Feature Pyramid and Region Proposal Networks L Vaquero, VM Brea, M Mucientes 2022 26th International Conference on Pattern Recognition (ICPR), 3485-3491, 2022 | | 2022 |
| Real-time siamese multiple object tracker with enhanced proposals L Vaquero Otal, VM Brea Sánchez, MF Mucientes Molina Elsevier, 2022 | | 2022 |
| Tracking more than 100 arbitrary objects at 25 FPS through deep learning L Vaquero Otal, VM Brea Sánchez, MF Mucientes Molina Elsevier, 2021 | | 2021 |
| Tracking visual de mútiples objetos con redes convolucionales profundas L Vaquero Otal | | 2019 |
| Sistema de tracking visual de objetos mediante técnicas de aprendizaje profundo L Vaquero Otal | | 2018 |
Manuel MucientesUniversity of Santiago de Compostela (Spain)Verified email at usc.es
