Recent publications

• Center Direction Network for Grasping Point Localization on Cloths

  Domen Tabernik, Jon Natanael Muhovič, Matej Urbas, and Danijel Skočaj

  IEEE Robotics and Automation Letters, IEEE, 2024
• Dense Center-Direction Regression for Object Counting and Localization with Point Supervision

  Domen Tabernik, Jon Natanael Muhovič, and Danijel Skočaj

  Pattern Recognition, 2024
• Towards the deep learning recognition of cultivated terraces based on Lidar data: The case of Slovenia

  Rok Ciglič, Anže Glušič, Lenart Štaut, and Luka Čehovin Zajc

  Moravian Geographical Reports, 2024
• A New Dataset and a Distractor-Aware Architecture for Transparent Object Tracking

  Alan Lukežič, Žiga Trojer, Jiří Matas, and Matej Kristan

  International Journal of Computer Vision, Springer, 2024
• Multi-Year Time Series Transfer Learning: Application of Early Crop Classification

  Matej Račič, Krištof Oštir, Anže Zupanc, and Luka Čehovin Zajc

  Remote Sensing, MDPI, 2024
• Automated detection and segmentation of cracks in concrete surfaces using joined segmentation and classification deep neural network

  Domen Tabernik, Matic Šuc, and Danijel Skočaj

  Construction and Building Materials, 2023
• eWaSR — An Embedded-Compute-Ready Maritime Obstacle Detection Network

  Matija Tersek, Lojze Žust, and Matej Kristan

  Sensors, MDPI, 2023
• Low-Cost Open-Source Robotic Platform for Education

  Luka Čehovin Zajc, Anže Rezelj, and Danijel Skočaj

  Transactions on Learning Technologies, IEEE, 2023
• Learning with Weak Annotations for Robust Maritime Obstacle Detection

  Lojze Žust and Matej Kristan

  Sensors, MDPI, 2022
• A Discriminative Single-Shot Segmentation Network for Visual Object Tracking

  Alan Lukežič, Jiří Matas, and Matej Kristan

  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
• Detection of surface defects on pharmaceutical solid oral dosage forms with convolutional neural networks

  Domen Rački, Dejan Tomaževič, and Danijel Skočaj

  Neural Computing and Applications, Springer, 2021
• WaSR -- A Water Segmentation and Refinement Maritime Obstacle Detection Network

  Borja Bovcon and Matej Kristan

  IEEE Transactions on Cybernetics, TCYB, 2021
• Reconstruction by inpainting for visual anomaly detection

  Vitjan Zavrtanik, Matej Kristan, and Danijel Skočaj

  Pattern Recognition, Elsevier, 2021
• HIDRA 1.0: deep-learning-based ensemble sea level forecasting in the northern Adriatic

  Lojze Žust, Anja Fettich, Matej Kristan, and Matjaž Ličer

  Geoscientific Model Development, Copernicus Publications, 2021
• Mixed supervision for surface-defect detection: from weakly to fully supervised learning

  Jakob Božič, Domen Tabernik, and Danijel Skočaj

  Computers in Industry, Elsevier, 2021
• Deep reinforcement learning for map-less goal-driven robot navigation

  Matej Dobrevski and Danijel Skočaj

  International Journal of Advanced Robotic Systems, 2021
• A modular toolkit for visual tracking performance evaluation

  Luka Čehovin Zajc

  SoftwareX, Elsevier, 2020
• Performance Evaluation Methodology for Long-Term Single Object Tracking

  Alan Lukežič, Luka Čehovin Zajc, Tomáš Vojíř, Jiří Matas, and Matej Kristan

  IEEE Transactions on Cybernetics, 2020
• Segmentation-Based Deep-Learning Approach for Surface-Defect Detection

  Domen Tabernik, Samo Šela, Jure Skvarč, and Danijel Skočaj

  Journal of Intelligent Manufacturing, 2020
• A segmentation-based approach for polyp counting in the wild

  Vitjan Zavrtanik, Martin Vodopivec, and Matej Kristan

  Engineering Applications of Artificial Intelligence, Elsevier, 2020