Part of my master thesis at the Max Planck Institute for Intelligent Systems was an initial proposal — outlining the general idea and the current state-of-the-art. Specifically, I worked on learning 3D shape completion on KITTI using 3D bounding boxes only. In this article, I want to present this proposal.
Weakly-supervised shape completion of cars on KITTI using variational auto-encoders; including two synthetic ShapeNet-based benchmark datasets.
My bachelor thesis, written at the Computer Vision Group at RWTH Aachen University, discusses superpixel segmentation utilizing depth information. Based on our own implementation of SEEDS , we examine the influence of depth information on the performance and compare several variants to other state-of-the-art approaches to superpixel segmentation.
Due to my bachelor thesis at RWTH Aachen University I am currently busy learning everything about superpixel segmentation — the oversegmentation of an image into groups of pixels using low-level features. In this article I want to give a short introduction by presenting my bachelor thesis proposal.