Projects I have worked on during my PhD at TU Munich
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans (CVPR'20)
We present a novel approach that converts partial and noisy RGB-D scans into high-quality 3D scene reconstructions by inferring unobserved scene geometry.
Our approach is fully self-supervised and can hence be trained solely on real-world, incomplete scans.
To achieve self-supervision, we remove frames from a given (incomplete) 3D scan in order to make it even more incomplete; self-supervision is then formulated by correlating the two levels of partialness of...
Projects I have worked on during my Master's studies at TU Munich
To this end, we first prepare a suitable dataset containing partial scans, each one correlated with complete ground-truth representations. We base this on the widely used ModelNet40 dataset which features high-quality CAD scans of 40 different object...
Projects I have worked on during my Bachelor's studies at the University of Augsburg
It adds a new custom layer to the AlexNet architecture which performs spatial pyramid pooling in order to remove the network’s need for fixed-size input images.
This was part of my Bachelor’s Thesis which I wrote at the Multimedia Computing and Computer Vision Lab, University of Augsburg under the supervision...