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2020 – today
- 2024
[j7]Valerija Movcana
, Arnis Strods, Karina Narbute, Felikss Rumnieks, Roberts Rimsa, Gatis Mozolevskis, Maksims Ivanovs, Roberts Kadikis, Karlis Zviedris, Laura Leja, Anastasija Zujeva, Tamara Laimina, Arturs Abols:
Organ-On-A-Chip (OOC) Image Dataset for Machine Learning and Tissue Model Evaluation. Data 9(2): 28 (2024)- 2023
- [j6]Vitalijs Fescenko, Janis Arents, Roberts Kadikis:
Synthetic Data Generation for Visual Detection of Flattened PET Bottles. Mach. Learn. Knowl. Extr. 5(1): 14-28 (2023) - [c8]Sajid Mohamed, Gijs van der Veen, Hans Kuppens, Matias Vierimaa, Tassos Kanellos, Henry Stoutjesdijk, Riccardo Masiero, Kalle Määttä, Jan Wytze van der Weit, Gabriel Ribeiro, Ansgar Bergmann, Davide Colombo, Javier Arenas, Alfie Keary, Martin Goubej, Benjamin Rouxel, Pekka Kilpeläinen, Roberts Kadikis, Mikel Armendia, Petr Blaha, Joep Stokkermans, Martin Cech, Arend-Jan Beltman:
The IMOCO4.E reference framework for intelligent motion control systems. ETFA 2023: 1-8 - [c7]Maksims Ivanovs, Laura Leja, Karlis Zviedris, Roberts Rimsa, Karina Narbute, Valerija Movcana, Felikss Rumnieks, Arnis Strods, Kevin Gillois, Gatis Mozolevskis, Arturs Abols, Roberts Kadikis:
Synthetic Image Generation With a Fine-Tuned Latent Diffusion Model for Organ on Chip Cell Image Classification. SPA 2023: 148-153 - 2022
- [j5]Ivars Namatevs, Roberts Kadikis, Anatolijs Zencovs, Laura Leja, Artis Dobrajs:
Dataset of Annotated Virtual Detection Line for Road Traffic Monitoring. Data 7(4): 40 (2022) - [j4]Maksims Ivanovs, Kaspars Ozols, Artis Dobrajs, Roberts Kadikis:
Improving Semantic Segmentation of Urban Scenes for Self-Driving Cars with Synthetic Images. Sensors 22(6): 2252 (2022) - [c6]Diana Duplevska, Maksims Ivanovs, Janis Arents, Roberts Kadikis:
Sim2Real image translation to improve a synthetic dataset for a bin picking task. ETFA 2022: 1-7 - [c5]Janis Arents, Bernd Lesser, Andis Bizuns, Roberts Kadikis, Elvijs Buls, Modris Greitans:
Synthetic Data of Randomly Piled, Similar Objects for Deep Learning-Based Object Detection. ICIAP (2) 2022: 706-717 - [c4]Atis Elsts, Maksims Ivanovs, Roberts Kadikis, Olegs Sabelnikovs:
CNN for Hand Washing Movement Classification: What Matters More - the Approach or the Dataset? IPTA 2022: 1-6 - 2021
- [j3]Martins Lulla, Aleksejs Rutkovskis, Andreta Slavinska, Aija Vilde, Anastasija Gromova, Maksims Ivanovs, Ansis Skadins, Roberts Kadikis, Atis Elsts:
Hand-Washing Video Dataset Annotated According to the World Health Organization's Hand-Washing Guidelines. Data 6(4): 38 (2021) - [j2]Maksims Ivanovs, Roberts Kadikis, Kaspars Ozols:
Perturbation-based methods for explaining deep neural networks: A survey. Pattern Recognit. Lett. 150: 228-234 (2021) - 2020
- [i1]Maksims Ivanovs, Roberts Kadikis, Martins Lulla, Aleksejs Rutkovskis, Atis Elsts:
Automated Quality Assessment of Hand Washing Using Deep Learning. CoRR abs/2011.11383 (2020)
2010 – 2019
- 2018
- [j1]Nauris Dorbe, Aigars Jaundalders, Roberts Kadikis, Krisjanis Nesenbergs:
FCN and LSTM Based Computer Vision System for Recognition of Vehicle Type, License Plate Number, and Registration Country. Autom. Control. Comput. Sci. 52(2): 146-154 (2018) - [c3]Elvijs Buls, Roberts Kadikis, Ricards Cacurs, Janis Arents:
Generation of synthetic training data for object detection in piles. ICMV 2018: 110411Z - 2017
- [c2]Roberts Kadikis:
Recurrent neural network based virtual detection line. ICMV 2017: 106961V - 2013
- [c1]Roberts Kadikis, Karlis Freivalds:
Vehicle classification in video using virtual detection lines. ICMV 2013: 90670Y
Coauthor Index
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