| Performance analysis of real-time DNN inference on Raspberry Pi D Velasco-Montero, J Fernández-Berni, R Carmona-Galán, ... Real-Time Image and Video Processing 2018 10670, 115-123, 2018 | 34 | 2018 |
| Impact of thermal throttling on long-term visual inference in a CPU-based edge device T Benoit-Cattin, D Velasco-Montero, J Fernández-Berni Electronics 9 (12), 2106, 2020 | 27 | 2020 |
| PreVIous: A methodology for prediction of visual inference performance on IoT devices D Velasco-Montero, J Fernández-Berni, R Carmona-Galán, ... IEEE Internet of Things Journal 7 (10), 9227-9240, 2020 | 24 | 2020 |
| Optimum selection of DNN model and framework for edge inference D Velasco-Montero, J Fernández-Berni, R Carmona-Galán, ... IEEE Access 6, 51680-51692, 2018 | 24 | 2018 |
| On the correlation of CNN performance and hardware metrics for visual inference on a low-cost CPU-based platform D Velasco-Montero, J Femández-Bemi, R Carmona-Gálán, ... 2019 International Conference on Systems, Signals and Image Processing …, 2019 | 13 | 2019 |
| Visual Inference for IoT Systems: A Practical Approach D Velasco-Montero, J Fernández-Berni, A Rodríguez-Vázquez Springer International Publishing, 2022 | 2 | 2022 |
| Towards an efficient smart camera trap for wildlife monitoring D Velasco-Montero, JFBR Carmona-Galán, AS Francisco 3rd International Workshop Camera Traps, AI and Ecology. Jena, Germany, 2023 | 1 | 2023 |
| Relevant Hardware Metrics for Performance Evaluation D Velasco-Montero, J Fernández-Berni, A Rodríguez-Vázquez Visual Inference for IoT Systems: A Practical Approach, 61-88, 2022 | 1 | 2022 |
| A Case Study: Remote Animal Monitoring D Velasco-Montero, J Fernández-Berni, A Rodríguez-Vázquez Visual Inference for IoT Systems: A Practical Approach, 125-159, 2022 | 1 | 2022 |
| On-The-Fly Deployment of Deep Neural Networks on Heterogeneous Hardware in a Low-Cost Smart Camera D Velasco-Montero, J Fernández-Berni, R Carmona-Galán, ... Proceedings of the 12th International Conference on Distributed Smart …, 2018 | 1 | 2018 |
| Extracción de características en imágenes de rayos X de cuadros D Velasco Montero | 1 | 2016 |
| A Pipelining-Based Heterogeneous Scheduling and Energy-Throughput Optimization Scheme for CNNs Leveraging Apache TVM D Velasco-Montero, B Goossens, J Fernández-Berni, ... IEEE Access 11, 35007-35021, 2023 | | 2023 |
| Contributions to the realization of DNN-based visual inference on embedded systems D Velasco Montero | | 2023 |
| Automatic Bat Counting and Reporting Based on Artificial Vision and an IoT Data Management Platform D Velasco-Montero, V Galvín-Coronil, J Sancho-Giaever, E Tena López, ... | | 2023 |
| Low-Power Low-Cost Reconfigurable IoT Device for Remote Wildlife Monitoring V Galvín-Coronil, J Sancho-Giaever, D Velasco-Montero, ... | | 2023 |
| Optimal Selection of Software and Models for Visual Inference D Velasco-Montero, J Fernández-Berni, A Rodríguez-Vázquez Visual Inference for IoT Systems: A Practical Approach, 31-60, 2022 | | 2022 |
| Embedded Vision for the Internet of Things: A Survey on State-of-the-Art Hardware, Software, and Deep Learning Models D Velasco-Montero, J Fernández-Berni, A Rodríguez-Vázquez Visual Inference for IoT Systems: A Practical Approach, 5-30, 2022 | | 2022 |
| Prediction of Visual Inference Performance D Velasco-Montero, J Fernández-Berni, A Rodríguez-Vázquez Visual Inference for IoT Systems: A Practical Approach, 89-124, 2022 | | 2022 |
| Performance assessment of deep learning frameworks through metrics of CPU hardware exploitation on an embedded platform D Velasco-Montero, J Fernández-Berni, R Carmona-Galán, ... International journal of electrical and computer engineering systems 11 (1 …, 2020 | | 2020 |
| CNN Performance Prediction on a CPU-based Edge Platform D Velasco-Montero, J Fernández-Berni, R Carmona-Galán, ... Proceedings of the 13th International Conference on Distributed Smart …, 2019 | | 2019 |
