Recently, I started reviewing for different conferences and journals. Based on my previous work, specifically the Superpixel Benchmark, I mostly reviewed papers on superpixel algorithms. For most of these algorithms, and additional related work, I made notes; in this article I want to keep track of the algorithms and benchmarks. The goal is to have an up-to-date list of superpixel algorithms and their implementations.
In the last few days I took some time to revisit some of my CMSimple plugins: News, a news article and blog plugin, Pictures, an image gallery plugin, YouTube, a plugin to create YouTube galleries, and BBClone, a plugin for web analytics with BBClone. In this article, I want to present the main features, the updated documentation as well as two demo applications to try out the plugins.
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.
As part of my stay in the Autonomous Vision Group in Tübingen, I also worked on the KITTI dataset. With the help of Bo Li, we were able to add a novel benchmark: the 3D object detection benchmark. In this article, I briefly want to introduce the benchmark and give some useful hints regarding submission.
Deep learning on 3D data is still challenging — partly due to the computational complexity of training on 3D grids. Thus, alternative data structures become more and more interesting. PointNets, for example, operate directly on unordered set of points, i.e. point clouds. Similarly, Point Set Generation Networks are able to directly predict point clouds from images. In this article, I briefly summarize both ideas.
This article presents visualizations of the qualitative and quantitative results from the superpixel benchmark published in CVIU. Based on NVD3 and Unite Gallery, the visualizations allow to interactively compare different superpixel algorithms in the browser.
In April, I visited Prof. Bernt Schiele’s Computer Vision and Multimodal Computing Department at the Max Planck Institute for Informatics in Saarbrücken. Aside from a presentation on my recent superpixel benchmark, I also met many interesting people and learned a lot about a career in research.
This article presents a very simple jQuery plugin and the corresponding Wordpress plugin allowing to easily create and reference labels in a LaTeX-style fashion.
Lifting convolutional neural networks to 3D data is challenging due to different data modalities (videos, image volumes, CAD models, LiDAR data etc.) as well as computational limitations (regarding runtime and memory). In this article, I want to summarize several recent papers addressing these problems and tackling different applications such as shape recognition, shape retrieval, medical image segmentation or object detection.