Kunal Chelani

Doctoral Student at Signal Processing and Biomedical Engineering

Kunal Chelani is a PhD student in the research group Computer vision and medical image analysis. His research interests focus around developing robust 3D vision algorithms for robotics and mixed reality. Kunal is currently exploring the privacy aspect of 3D reconstruction algorithms by trying to counter recently suggested solutions that claim to preserve scene privacy.

Source: chalmers.se
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Showing 2 publications


Privacy-Preserving Representations are not Enough: Recovering Scene Content from Camera Poses

Kunal Chelani, Torsten Sattler, Fredrik Kahl et al
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 2023-June, p. 13132-13141
Paper in proceeding

How privacy-preserving are line clouds? Recovering scene details from 3D lines

Kunal Chelani, Fredrik Kahl, Torsten Sattler
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p. 15663-15673
Paper in proceeding

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Showing 1 research projects


Understanding and Overcoming the Limitations of Convolutional Neural Networks for Visual Localization (VisLocLearn)

Torsten Sattler Imaging and Image Analysis
Kunal Chelani Imaging and Image Analysis
Chalmers AI Research Centre

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