Vehicle classification in video using virtual detection lines. - Roberts Kadikis; Karlis Freivalds (ICMV, 2013)

Recurrent neural network based virtual detection line. - Roberts Kadikis (ICMV, 2017)

Generation of synthetic training data for object detection in piles. - Elvijs Buls; Roberts Kadikis; Ricards Cacurs; Janis Arents (ICMV, 2018)

FCN and LSTM Based Computer Vision System for Recognition of Vehicle Type, License Plate Number, and Registration Country. - Nauris Dorbe; Aigars Jaundalders; Roberts Kadikis; Krisjanis Nesenbergs (Autom. Control. Comput. Sci., 2018)

Automated Quality Assessment of Hand Washing Using Deep Learning. - Maksims Ivanovs; Roberts Kadikis; Martins Lulla; Aleksejs Rutkovskis; Atis Elsts (CoRR, 2020)

Hand-Washing Video Dataset Annotated According to the World Health Organization's Hand-Washing Guidelines. - Martins Lulla; Aleksejs Rutkovskis; Andreta Slavinska; Aija Vilde; Anastasija Gromova; Maksims Ivanovs; Ansis Skadins; Roberts Kadikis; Atis Elsts (Data, 2021)

Perturbation-based methods for explaining deep neural networks: A survey. - Maksims Ivanovs; Roberts Kadikis; Kaspars Ozols (Pattern Recognit. Lett., 2021)

Sim2Real image translation to improve a synthetic dataset for a bin picking task. - Diana Duplevska; Maksims Ivanovs; Janis Arents; Roberts Kadikis (ETFA, 2022)

Synthetic Data of Randomly Piled, Similar Objects for Deep Learning-Based Object Detection. - Janis Arents; Bernd Lesser; Andis Bizuns; Roberts Kadikis; Elvijs Buls; Modris Greitans (ICIAP (2), 2022)

CNN for Hand Washing Movement Classification: What Matters More - the Approach or the Dataset? - Atis Elsts; Maksims Ivanovs; Roberts Kadikis; Olegs Sabelnikovs (IPTA, 2022)

Dataset of Annotated Virtual Detection Line for Road Traffic Monitoring. - Ivars Namatevs; Roberts Kadikis; Anatolijs Zencovs; Laura Leja; Artis Dobrajs (Data, 2022)

Improving Semantic Segmentation of Urban Scenes for Self-Driving Cars with Synthetic Images. - Maksims Ivanovs; Kaspars Ozols; Artis Dobrajs; Roberts Kadikis (Sensors, 2022)

The IMOCO4.E reference framework for intelligent motion control systems. - 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; et al. (ETFA, 2023)

Synthetic Image Generation With a Fine-Tuned Latent Diffusion Model for Organ on Chip Cell Image Classification. - Maksims Ivanovs; Laura Leja; Karlis Zviedris; Roberts Rimsa; Karina Narbute; Valerija Movcana; Felikss Rumnieks; Arnis Strods; Kevin Gillois; Gatis Mozolevskis; Arturs Abols; Roberts Kadikis (SPA, 2023)

Synthetic Data Generation for Visual Detection of Flattened PET Bottles. - Vitalijs Fescenko; Janis Arents; Roberts Kadikis (Mach. Learn. Knowl. Extr., 2023)

Organ-On-A-Chip (OOC) Image Dataset for Machine Learning and Tissue Model Evaluation. - Valerija Movcana; Arnis Strods; Karina Narbute; Felikss Rumnieks; Roberts Rimsa; Gatis Mozolevskis; Maksims Ivanovs; Roberts Kadikis; Karlis Zviedris; Laura Leja; Anastasija Zujeva; Tamara Laimina; et al. (Data, 2024)

Automated Pollen Recognition in Optical and Holographic Microscopy Images. - Swarn Singh Warshaneyan; Maksims Ivanovs; Blaz Cugmas; Inese Berzina; Laura Goldberga; Mindaugas Tamosiunas; Roberts Kadikis (AICCONF, 2025)