N. Zhang (Ning)

I am currently a final-year Ph.D. student (AIO) working on drone-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 scene-understanding algorithms to help First Responders in different emergency scenarios.

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Applied Earth Sciences (AES)

Zhang, N. , Nex, F. C. , Vosselman, G. , & Kerle, N. (2023). Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation. In CVPR 2023 (pp. 18537-18546) https://openaccess.thecvf.com/content/CVPR2023/html/Zhang_Lite-Mono_A_Lightweight_CNN_and_Transformer_Architecture_for_Self-Supervised_Monocular_CVPR_2023_paper.html

Zhang, N. , Nex, F. C. , Vosselman, G. , & Kerle, N. (2022). Training a disaster victim detection network for UAV search and rescue using harmonious composite images. Remote sensing, 14(13), 1-19. [2977]. https://doi.org/10.3390/rs14132977

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. (2022). LISU: Low-light indoor scene understanding with joint learning of reflectance restoration. ISPRS journal of photogrammetry and remote sensing, 183, 470-481. https://doi.org/10.1016/j.isprsjprs.2021.11.010

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

See all research output of this employee

H2020 - INGENIOUS

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

https://ingenious-first-responders.eu/the-ingenious-1st-fsx-was-successful/

+31534899819

n.zhang@utwente.nl

Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds (building no. 19), room 2104
Hallenweg 8
7522NH Enschede
The Netherlands

Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds 2104
P.O. Box 217
7500 AE Enschede
The Netherlands

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Applied Earth Sciences (AES)

University of Twente Drienerlolaan 5
7522 NB Enschede

+31 (0)53 489 9111
info@utwente.nl
Route

Welcome...

PhD Candidate

About Me

Organisations

Publications

UT Research Information System

Projects

Finished Projects

H2020 - INGENIOUS

Media

Contact Details

Visiting Address

Mailing Address

Organisations

Social Media