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Ion Giosan
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2020 – today
- 2024
- [i1]Mihnea Bogdan Jurca, Remco Royen, Ion Giosan, Adrian Munteanu:
RT-GS2: Real-Time Generalizable Semantic Segmentation for 3D Gaussian Representations of Radiance Fields. CoRR abs/2405.18033 (2024) - 2023
- [c17]Vasile Lup, Ion Giosan:
VTSeg: Video Transformer for Semantic Segmentation. ICCP 2023: 95-102 - 2022
- [j2]Horatiu Florea, Andra Petrovai, Ion Giosan, Florin Oniga, Robert Varga, Sergiu Nedevschi:
Enhanced Perception for Autonomous Driving Using Semantic and Geometric Data Fusion. Sensors 22(13): 5061 (2022) - [c16]Mihnea Bogdan Jurca, Ion Giosan:
A modern approach for positional football analysis using computer vision. ICCP 2022: 275-282 - 2020
- [j1]Mircea Paul Muresan, Ion Giosan, Sergiu Nedevschi:
Stabilization and Validation of 3D Object Position Using Multimodal Sensor Fusion and Semantic Segmentation. Sensors 20(4): 1110 (2020) - [c15]Mircea Paul Muresan, Dragos Gabriel Cireap, Ion Giosan:
Automatic Vision Inspection Solution for the Manufacturing Process of Automotive Components Through Plastic Injection Molding. ICCP 2020: 423-430 - [c14]Paul Gordan, Hanniel Boros, Ion Giosan:
Location Estimation of an Urban Scene using Computer Vision Techniques. VISIGRAPP (4: VISAPP) 2020: 268-275
2010 – 2019
- 2019
- [c13]Selma Evelyn Catalina Goga, Ion Giosan, Sergiu Nedevschi:
Curb detection in urban traffic scenarios using LiDARs point cloud and semantically segmented color images. ITSC 2019: 3433-3440 - 2017
- [c12]Mircea Paul Muresan, Sergiu Nedevschi, Ion Giosan:
Real-time object detection using a sparse 4-layer LIDAR. ICCP 2017: 317-322 - [c11]Gyorgy Jasko, Ion Giosan, Sergiu Nedevschi:
Animal detection from traffic scenarios based on monocular color vision. ICCP 2017: 363-368 - [c10]Robert Varga, Arthur Daniel Costea, Horatiu Florea, Ion Giosan, Sergiu Nedevschi:
Super-sensor for 360-degree environment perception: Point cloud segmentation using image features. ITSC 2017: 1-8 - 2016
- [c9]Ion Giosan, Sergiu Nedevschi:
Superpixels in Pedestrian Detection from Stereo Images in Urban Traffic Scenarios. VISIGRAPP (4: VISAPP) 2016: 501-508 - 2015
- [c8]Maria-Irina Barbu, Ion Giosan, Tiberiu Marita:
Height restriction barriers detection from traffic scenarios using stereo-vision. ICCP 2015: 209-215 - [c7]Ion Giosan, Sergiu Nedevschi, Ciprian Pocol:
Shape improvement of traffic pedestrian hypotheses by means of stereo-vision and superpixels. ICCP 2015: 217-222 - [c6]Lorenzo Patras, Ion Giosan, Sergiu Nedevschi:
Body gesture validation using multi-dimensional dynamic time warping on Kinect data. ICCP 2015: 301-307 - [c5]Raluca Brehar, Cristian Vancea, Tiberiu Marita, Ion Giosan, Sergiu Nedevschi:
Pedestrian detection in the context of multiple-sensor data alignment for far-infrared and stereo vision sensors. ICCP 2015: 385-392 - 2014
- [c4]Ion Giosan, Sergiu Nedevschi:
Superpixel-based obstacle segmentation from dense stereo urban traffic scenarios using intensity, depth and optical flow information. ITSC 2014: 1662-1668 - [c3]Ion Giosan, Sergiu Nedevschi:
Multi-feature Real Time Pedestrian Detection from Dense Stereo SORT-SGM Reconstructed Urban Traffic Scenarios. VISAPP (2) 2014: 131-142 - 2011
- [c2]Raluca Brehar, Ion Giosan, Andrei Vatavu, Mihai Negru, Sergiu Nedevschi:
Modeling the behavior of large scale reasoning systems using clustering and regression. ICCP 2011: 163-169
2000 – 2009
- 2008
- [c1]Ion Giosan, Sergiu Nedevschi:
Building Pedestrian Contour Hierarchies for Improving Detection in Traffic Scenes. ICCVG 2008: 154-163
Coauthor Index
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last updated on 2024-06-24 21:04 CEST by the dblp team
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