| Variational autoencoders for 3D data processing S Molnár, L Tamás Artificial Intelligence Review 57 (2), 42, 2024 | 7 | 2024 |
| ToFNest: Efficient normal estimation for time-of-flight depth cameras S Molnár, B Kelényi, L Tamás Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 7 | 2021 |
| Feature pyramid network based efficient normal estimation and filtering for time-of-flight depth cameras S Molnár, B Kelényi, L Tamas Sensors 21 (18), 6257, 2021 | 5 | 2021 |
| Segmentation methods evaluation on grapevine leaf diseases S Molnár, L Tamás 2023 18th Conference on Computer Science and Intelligence Systems (FedCSIS …, 2023 | 4 | 2023 |
| Representation learning for point clouds with variational autoencoders S Molnár, L Tamás European conference on computer vision, 727-737, 2022 | 4 | 2022 |
| Bacterial-fungicidal vine disease detection with proximal aerial images DE Székely, D Dobra, AE Dobre, V Domşa, BG Drăghici, TA Ileni, ... Heliyon 10 (14), 2024 | 3 | 2024 |
| Feature pyramid network based proximal vine canopy segmentation S Molnár, B Keresztes, L Tamás IFAC-PapersOnLine 56 (2), 8920-8925, 2023 | 3 | 2023 |
| Embedded gpu based autonomous robot use cases S Molnar, LA Romulus, L Tamas 2022 30th Mediterranean Conference on Control and Automation (MED), 462-467, 2022 | 3 | 2022 |
| 3D Object Recognition using Time of Flight Camera with Embedded GPU on Mobile Robots. B Kelényi, S Molnár, L Tamás VISIGRAPP (4: VISAPP), 849-856, 2022 | 2 | 2022 |
| CNN Based ToF Image Processing. ML Pop, S Molnar, A Pop, B Kelenyi, L Tamas, A Cozma SciPy, 148-153, 2021 | 1 | 2021 |
| Close proximity aerial image for precision viticulture. A review S Molnár, L Tamás Journal of Plant Diseases and Protection 132 (1), 57, 2025 | | 2025 |
