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Roberts Kadikis
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Journal Articles
- 2024
- [j7]Valerija Movcana
, Arnis Strods
Organ-On-A-Chip (OOC) Image Dataset for Machine Learning and Tissue Model Evaluation. Data 9(2): 28 (2024) - 2023
- [j6]Vitalijs Fescenko
Synthetic Data Generation for Visual Detection of Flattened PET Bottles. Mach. Learn. Knowl. Extr. 5(1): 14-28 (2023) - 2022
- [j5]Ivars Namatevs
Dataset of Annotated Virtual Detection Line for Road Traffic Monitoring. Data 7(4): 40 (2022) - [j4]Maksims Ivanovs
Improving Semantic Segmentation of Urban Scenes for Self-Driving Cars with Synthetic Images. Sensors 22(6): 2252 (2022) - 2021
- [j3]Martins Lulla
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) - 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)
Conference and Workshop Papers
- 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
- [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
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 - 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
Informal and Other Publications
- 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)
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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