Publications for keyword deep learning

• 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
• 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
• HIDRA2: deep-learning ensemble sea level and storm tide forecasting in the presence of seiches – the case of the northern Adriatic

  Marko Rus, Anja Fettich, Matej Kristan, and Matjaž Ličer

  Geoscientific Model Development, Copernicus Publications, 2023
• 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
• Segmentation-Based Deep-Learning Approach for Surface-Defect Detection

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

  Journal of Intelligent Manufacturing, 2020
• Deep Learning for Large-Scale Traffic-Sign Detection and Recognition

  Domen Tabernik and Danijel Skočaj

  Transactions on Intelligent Transportation Systems, IEEE, 2019
• Lokalizacija in ocenjevanje lege predmeta v treh prostostnih stopnjah s središčnimi smernimi vektorji

  Domen Tabernik, Jon Natanael Muhovič, and Danijel Skočaj

  ERK, 2023
• HIDRA-T – A Transformer-Based Sea Level Forecasting Method

  Marko Rus, Anja Fettich, Matej Kristan, and Matjaž Ličer

  International Electrotechnical and Computer Science Conference (ERK), 2023
• Video-Based Ski Jump Style Scoring from Pose Trajectory

  Dejan Štepec and Danijel Skočaj

  IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2022
• Analiza robustnosti globokih nenadzorovanih metod za detekcijo vizualnih anomalij

  Jakob Božič, Vitjan Zavrtanik, and Danijel Skočaj

  ERK, 2021
• O klasifikaciji slik v ne-enolično določljive razrede

  Jon Natanael Muhovič, Domen Tabernik, and Danijel Skočaj

  ERK, 2020
• Adaptive Dynamic Window Approach for Local Navigation

  Matej Dobrevski and Danijel Skočaj

  2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2020
• End-to-end training of a two-stage neural network for defect detection

  Jakob Božič, Domen Tabernik, and Danijel Skočaj

  ICPR, 2020
• Deep-learning-based computer vision system for surface-defect detection

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

  Proceedings of the 12th International Conference on Computer Vision Systems, 2019
• Towards large-scale traffic sign detection and recognition

  Peter Uršič, Domen Tabernik, Rok Mandeljc, and Danijel Skočaj

  Proceedings of the 22nd Computer Vision Winter Workshop, 2017
• HIDRA3: A Robust Deep-Learning Model for Multi-Point Sea-Surface Height and Storm Surges Forecasting

  Marko Rus, Hrvoje Mihanović, Matjaž Ličer, and Matej Kristan

  55th International Liège Colloquium on Ocean Dynamics, 2024