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

Contact Details

Publications (2)
Projects (1)

Showing 2 publications

2023

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

2021

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

2020–2024

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 (CHAIR)

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