Martin Weinmann - Inst Photogrammetry & Remote Sensing, Karlsruhe Inst Technol

基本信息

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职业迁徙

个人简介

Martin Weinmann (Member, IEEE) received the Diploma degree in electrical engineering and information technology from the Technical University of Karlsruhe, Karlsruhe, Germany, in 2009, and the Ph.D. degree in computer vision from the Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany, in 2015. He is currently a Postdoctoral Researcher with the Institute of Photogrammetry and Remote Sensing, KIT. His research interests include computer vision, pattern recognition, machine learning, photogrammetry, and remote sensing, where he published respective work in a diversity of reputable journals and conference proceedings. Dr. Weinmann served for several years as a Reviewer for the International Society for Photogrammetry and Remote Sensing, the Institute of Electrical and Electronics Engineers, and the German Society for Photogrammetry, Remote Sensing and Geoinformation.

研究兴趣

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3Rd Workshop on Maritime Computer Vision (macvi) 2025: Challenge Results

Benjamin Kiefer,Lojze Žust,Jon Muhovič,Matej Kristan,Janez Perš,Matija Teršek, Uma Mudenagudi Chaitra Desai,Arnold Wiliem, Marten Kreis,Nikhil Akalwadi,Yitong Quan, Zhiqiang Zhong, Zhe Zhang, Sujie Liu, Xuran Chen, Yang,Matej Fabijanić, Fausto Ferreira,Seongju Lee,Junseok Lee,Kyoobin Lee,Shanliang Yao,Runwei Guan, Xiaoyu Huang, Yi Ni, Himanshu Kumar, Yuan Feng, Yi-Ching Cheng, Tzu-Yu Lin, Chia-Ming Lee,Chih-Chung Hsu, Jannik Sheikh, Andreas Michel,Wolfgang Gross,Martin Weinmann, Josip Šarić, Yipeng Lin, Xiang Yang, Nan Jiang, Yutang Lu, Fei Feng, Ali Awad,Evan Lucas,Ashraf Saleem, Ching-Heng Cheng, Yu-Fan Lin

CoRR (2025)

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3 Rd Workshop on Maritime Computer Vision (macvi) 2025: Challenge Results

Benjamin Kiefer,Lojze Zust, Jon Muhovic,Matej Kristan,Janez Pers, Matija Tersek,Uma Mudenagudi,Chaitra Desai,Arnold Wiliem, Marten Kreis, Nikhil Akalwadi, Yitong Quan, Zhiqiang Zhong, Zhe Zhang, Sujie Liu, Xuran Chen, Yang, Matej Fabijanic,Fausto Ferreira,Seongju Lee, Junseok Lee,Kyoobin Lee, Shanliang Yao, Runwei Guan, Xiaoyu Huang, Yi Ni, Himanshu Kumar,Yuan Feng, Yi-Ching Cheng, Tzu-Yu Lin, Chia-Ming Lee,Chih-Chung Hsu, Jannik Sheikh, Andreas Michel,Wolfgang Gross,Martin Weinmann, Josip Saric, Yipeng Lin, Xiang Yang, Nan Jiang, Yutang Lu, Fei Feng, Ali Awad,Evan Lucas,Ashraf Saleem, Ching-Heng Cheng, Yu-Fan Lin

IEEE/CVF Winter Conference on Applications of Computer Visionpp.1457-1484, (2025)

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DustNet++: Deep Learning-Based Visual Regression for Dust Density Estimation