Welcome...

N. Zhang (Ning)

PhD Candidate

About Me

I am currently a Ph.D. candidate (AIO) working on UAV-based computer vision.

My research project is part of a large-scale research project funded through the Horizon 2020 funding scheme of the European Commission, entitled INGENIOUS. My research focuses on developing drone-based computer vision algorithms for scene understanding to help First Responders in different emergency scenarios.

Publications

Recent
Zhang, N. , Nex, F. C. , Vosselman, G. , & Kerle, N. (2022). Unsupervised harmonious image composition for disaster victim detection. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: Congress “Imaging today, foreseeing tomorrow”, Commission III (B3-2022 ed., Vol. 43, pp. 1189–1196). (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information ). Copernicus. https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1189-2022
Zhang, N. , Nex, F. C. , Kerle, N. , & Vosselman, G. (2021). Towards Learning Low-Light Indoor Semantic Segmentation with Illumination-Invariant Features. In N. Paparoditis, C. Mallet, F. Lafarge, M. Y. Yang, A. Yilmaz, J. D. Wegner, F. Remondino, T. Fuse, & I. Toschi (Eds.), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (B2-2021 ed., Vol. XLIII-B2-2021, pp. 427-432). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-427-2021
Zhang, N., & Zhang, L. (2018). SSGD: Superpixels using the shortest gradient distance. In 2017 IEEE International Conference on Image Processing (ICIP) (pp. 3869-3873). IEEE. https://doi.org/10.1109/ICIP.2017.8297007
Zhang, N., Zhang, L., & Cheng, Z. (2017). Towards simulating foggy and hazy images and evaluating their authenticity. In International Conference on Neural Information Processing (pp. 405-415). (Lecture Notes in Computer Science ). Springer. https://doi.org/10.1007/978-3-319-70090-8_42

UT Research Information System

Media

https://ingenious-first-responders.eu/ingenious-situational-awareness-algorithms-for-uavs/

Contact Details

Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC (building no. 75), room 2-067
Hengelosestraat 99
7514AE  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC  2-067
P.O. Box 217
7500 AE Enschede
The Netherlands