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Julius Pesonen I'm a research scientist in the Spectrophotogrammetry research group at Finnish Geospatial Research Institute. I'm currently pursuing a doctoral degree at Aalto University under the supervision of Dr. Arno Solin and I'm advised by Research Professor Eija Honkavaara. |
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ResearchI'm interested in computer vision, deep learning, remote sensing and robotics. In my doctoral works, I'm exploring weakly supervised and real-time deep learning methods in practical remote sensing applications with limited inference resources. |
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Detecting Wildfires on UAVs with Real-time Segmentation Trained by Larger Teacher Models
Julius Pesonen, Teemu Hakala, Väinö Karjalainen, Niko Koivumäki, Lauri Markelin, Anna-Maria Raita-Hakola, Juha Suomalainen, Ilkka Pölönen, Eija Honkavaara Accepted to WACV, 2025 code / arXiv UAV-onboard wildfire detection using small segmentation models distilled from larger ones with bounding box guidance. |
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Dense Road Surface Grip Map Prediction from Multimodal Image Data
Jyri Maanpää, Julius Pesonen, Heikki Hyyti, Iaroslav Melekhov, Juho Kannala, Petri Manninen, Antero Kukko, Juha Hyyppä Accepted to ICPR, 2024 code / arXiv Road slipperiness prediction from RGB, LiDAR, and thermal camera data for autonomous driving in adverse weather conditions. |
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Pixelwise Road Surface Slipperiness Estimation for Autonomous Driving with Weakly Supervised Learning
Julius Pesonen Master thesis, 2023 Aaltodoc Road slipperiness prediction from RGB for autonomous driving in adverse weather conditions at input camera resolution. |
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Design and source code from Jon Barron's website. |