Michael Schleiss

According to our database, Michael Schleiss authored at least 6 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

SCAR: Satellite Imagery-Based Calibration for Aerial Recordings.

Henry Hölzemann, Michael Schleiss

CoRR, February, 2026

2025

Using Simulations to Develop Terrain-Relative Navigation for Mars-UAVs: Is it realistic enoughƒ.

Max Hofacker, Michael Schleiss, Thomas Pany, Roger Förstner

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2025

2022

VPAIR - Aerial Visual Place Recognition and Localization in Large-scale Outdoor Environments.

Michael Schleiss, Fahmi Rouatbi, Daniel Cremers

CoRR, 2022

2020

VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results.

Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Apostolos Axenopoulos, Arne Schumann, Athanasios Psaltis, Ayush Jain, Bin Dong, Changlin Li, Chen Chen, Chengzhen Duan, Chongyang Zhang, Daniel Stadler, Dheeraj Reddy Pailla, Dong Yin, Faizan Khan, Fanman Meng, Guangyu Gao, Guosheng Zhang, Hansheng Chen, Hao Zhou, Haonian Xie, Heqian Qiu, Hongliang Li, Ioannis Athanasiadis, Jincai Cui, Jingkai Zhou, Jong Hwan Ko, Joo Chan Lee, Jun Yu, Jungyeop Yoo, Lars Wilko Sommer, Lu Xiong, Michael Schleiss, Ming-Hsuan Yang, Mingyu Liu, Minjian Zhang, Murari Mandal, Petros Daras, Pratik Narang, Qiong Liu, Qiu Shi, Qizhang Lin, Rohit Ramaprasad, Sai Wang, Sarvesh Mehta, Shuai Li, Shuqin Huang, Sungtae Moon, Taijin Zhao, Ting Sun, Wei Guo, Wei Tian, Weida Qin, Weiping Yu, Wenxiang Lin, Xi Zhao, Xiaogang Jia, Xin He, Xingjie Zhao, Xuanxin Liu, Yan Ding, Yan Luo, Yang Xiao, Yi Wang, Yingjie Liu, Yongwoo Kim, Yu Sun, Yuehan Yao, Yuyao Huang, Zehui Gong, Zhenyu Xu, Zhipeng Luo, Zhiguo Cao, Zhiwei Wei, Zhongjie Fan, Zichen Song, Ziming Liu

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2018

Analysis of the discriminative generalized Hough transform as a proposal generator for a deep network in automatic pedestrian and car detection.

Eric Gabriel, Michael Schleiss, Hauke Schramm, Carsten Meyer

J. Electronic Imaging, 2018

Artificial Intelligence and Deep Learning Applications for Automotive Manufacturing.

André Luckow, Ken Kennedy, Marcin Ziolkowski, Emil Djerekarov, Matthew Cook, Edward B. Duffy, Michael Schleiss, Bennie Vorster, Edwin Weill, Ankit Kulshrestha, Melissa C. Smith

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018