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Domen Mongus
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Journal Articles
- 2023
- [j24]Marko Bizjak
, Domen Mongus
Novel Half-Spaces Based 3D Building Reconstruction Using Airborne LiDAR Data. Remote. Sens. 15(5): 1269 (2023) - [j23]Damjan Strnad
Detection and Monitoring of Woody Vegetation Landscape Features Using Periodic Aerial Photography. Remote. Sens. 15(11): 2766 (2023) - [j22]Domen Kavran, Domen Mongus
Graph Neural Network-Based Method of Spatiotemporal Land Cover Mapping Using Satellite Imagery. Sensors 23(14): 6648 (2023) - [j21]Dino Vlahek
An Efficient Iterative Approach to Explainable Feature Learning. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2606-2618 (2023) - 2022
- [j20]Jernej Cukjati
IoT and Satellite Sensor Data Integration for Assessment of Environmental Variables: A Case Study on NO2. Sensors 22(15): 5660 (2022) - 2021
- [j19]Dino Vlahek
Method for estimating tensiomyography parameters from motion capture data. Informatica (Slovenia) 45(2) (2021) - [j18]Borut Zalik
Lossless chain code compression with an improved Binary Adaptive Sequential Coding of zero-runs. J. Vis. Commun. Image Represent. 75: 103050 (2021) - [j17]Domen Mongus
A Complete Environmental Intelligence System for LiDAR-Based Vegetation Management in Power-Line Corridors. Remote. Sens. 13(24): 5159 (2021) - 2020
- [j16]Borut Zalik
Can burrows-Wheeler transform be replaced in chain code compression? Inf. Sci. 525: 109-118 (2020) - [j15]Danijel Zlaus
Efficient Method for Parallel Computation of Geodesic Transformation on CPU. IEEE Trans. Parallel Distributed Syst. 31(4): 935-947 (2020) - 2019
- [j14]Borut Zalik, Krista Rizman Zalik, Eva Zupancic, Niko Lukac
Chain code compression with modified interpolative coding. Comput. Electr. Eng. 77: 27-36 (2019) - [j13]Nikolaj Sarlah
Kinematic GPR-TPS Model for Infrastructure Asset Identification with High 3D Georeference Accuracy Developed in a Real Urban Test Field. Remote. Sens. 11(12): 1457 (2019) - 2018
- [j12]Domen Mongus
Segmentation schema for enhancing land cover identification: A case study using Sentinel 2 data. Int. J. Appl. Earth Obs. Geoinformation 66: 56-68 (2018) - [j11]Borut Zalik, Domen Mongus, Niko Lukac
Efficient chain code compression with interpolative coding. Inf. Sci. 439-440: 39-49 (2018) - 2017
- [j10]David Jesenko
Two-level evolutionary algorithm for discovering relations between nodes' features in a complex network. Appl. Soft Comput. 56: 82-93 (2017) - [j9]Borut Zalik, Domen Mongus, Krista Rizman Zalik, Niko Lukac
Boolean operations on rasterized shapes represented by chain codes using space filling curves. J. Vis. Commun. Image Represent. 49: 420-432 (2017) - 2016
- [j8]Borut Zalik, Domen Mongus, Krista Rizman Zalik, Niko Lukac
Chain code compression using string transformation techniques. Digit. Signal Process. 53: 1-10 (2016) - [j7]Borut Zalik, Domen Mongus, Yong Kui Liu, Niko Lukac
Unsigned Manhattan chain code. J. Vis. Commun. Image Represent. 38: 186-194 (2016) - 2015
- [j6]Domen Mongus, Borut Zalik:
Detection of Ground in Point-clouds Generated from Stereo-pair Images. Informatica (Slovenia) 39(3) (2015) - [j5]Bojan Rupnik, Domen Mongus, Borut Zalik:
Point Density Evaluation of Airborne LiDAR Datasets. J. Univers. Comput. Sci. 21(4): 587-603 (2015) - [j4]Borut Zalik, Domen Mongus, Niko Lukac
A universal chain code compression method. J. Vis. Commun. Image Represent. 29: 8-15 (2015) - 2014
- [j3]Simon Gangl, Domen Mongus, Borut Zalik:
An efficient eigenspace updating scheme for high-dimensional systems. Int. J. Appl. Math. Comput. Sci. 24(1): 123-131 (2014) - [j2]Domen Mongus, Borut Zalik:
Computationally Efficient Method for the Generation of a Digital Terrain Model From Airborne LiDAR Data Using Connected Operators. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(1): 340-351 (2014) - 2012
- [j1]Domen Mongus, Blaz Repnik, Marjan Mernik, Borut Zalik:
A hybrid evolutionary algorithm for tuning a cloth-simulation model. Appl. Soft Comput. 12(1): 266-273 (2012)
Conference and Workshop Papers
- 2024
- [c9]Domen Kavran, Domen Mongus, Niko Lukac:
Buildings, Approximate True Orthophoto Construction From Satellite Imagery Using Semantic Segmentation and the ICP Algorithm. CITS 2024: 1-7 - 2019
- [c8]Domen Mongus, Simon Juric:
Generation of traversability maps based on 3D point-clouds. NextComp 2019: 1-5 - 2018
- [c7]David Jesenko, Matej Brumen, Niko Lukac
Visualization and Analytics Tool for Multi-dimensional Data. ICBDE 2018: 11-15 - [c6]Danijel Zlaus, Domen Mongus:
In-place SIMD Accelerated Mathematical Morphology. ICBDE 2018: 76-79 - 2013
- [c5]Saso Pecnik, Domen Mongus, Borut Zalik:
Evaluation of Optimized Visualization of LiDAR Point Clouds, Based on Visual Perception. CHI-KDD 2013: 366-385 - [c4]Denis Horvat, Borut Zalik, Marjan Slak Rupnik
Visualising the Attributes of Biological Cells, Based on Human Perception. CHI-KDD 2013: 386-399 - 2011
- [c3]Denis Spelic, Domen Mongus, Borut Zalik:
Lossless Compression of Segmented CT Medical Images According to the Hounsfield Scale. DICTA 2011: 297-301 - [c2]Yong Kui Liu, Peng Jie Wang, Dan Dan Zhao, Denis Spelic, Domen Mongus, Borut Zalik:
Pixel-Level Algorithms for Drawing Curves. TPCG 2011: 33-40 - 2009
- [c1]Aida Kamisalic, Domen Mongus, Luka Pavlic, Sandi Pohorec, Andrej Sevcnikar, Mateja Verlic, Tatjana Welzer, Marko Hölbl
Aspects in Information Modelling and Knowledge Bases Research. EJC 2009: 418-438
Informal and Other Publications
- 2019
- [i1]Danijel Zlaus, Domen Mongus:
Efficient method for parallel computation of geodesic transformation on CPU. CoRR abs/1911.13074 (2019)
Coauthor Index
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