Luc Van Gool

TL;DR: This paper evaluates the system's performance and user experience in ongoing acquisition and matching work on material from a Roman excavation in Tongeren, Belgium, and can acquire fragments approximately 10 times faster, and support a wider range of fragment sizes.

TL;DR: The generation of realistic 3D models for a virtual exhibition of the archaeological excavation site in Sagalassos, Turkey will be demonstrated, as the approach operates independently of object scale and requires only a single low-cost consumer photo or video camera.

TL;DR: Extensive experiments on AGWN removal and real image denoising demonstrate that the new network architecture design achieves state-of-the-art performance and the new degradation model can help to improve the practicability.

TL;DR: A novel variant of video summarization, namely building a summary that depends on the particular aspect of a video the viewer focuses on, is introduced, and a novel dataset is developed to investigate how well the generated summary reflects the underlying viewpoint.

TL;DR: Semantic One-Shot Video Object Segmentation (OSVOS-S) as discussed by the authors is based on a fully-convolutional neural network architecture that is able to successively transfer generic semantic information, learned on ImageNet, to the task of foreground segmentation, and finally to learning the appearance of a single annotated object of the test sequence.