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Robust Aerial Object Tracking in High Dynamic Flight Maneuvers
(2015)ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesIntegrating drones into the civil airspace is one of the biggest challenges for civil aviation, responsible authorities and involved com- panies around the world in the upcoming years. For a full integration into non-segregated airspace such a system has to provide the capability to automatically detect and avoid other airspace users. Electro-optical cameras have proven to be an adequate sensor to detect all types of aerial objects, ...Conference Paper -
Manifold-Valued Image Generation withWasserstein Generative Adversarial Nets
(2019)Proceedings of the 33rd AAAI Conference on Artificial IntelligenceConference Paper -
Progressive prioritized multi-view stereo
(2016)Proceedings of the 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016)Conference Paper -
Acquiring Common Sense Spatial Knowledge Through Implicit Spatial Templates
(2018)Proceedings of 32nd AAAI Conference on Artificial IntelligenceConference Paper -
Deep Unfolding Network for Image Super-Resolution
(2020)2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Learning-based single image super-resolution (SISR) methods are continuously showing superior effectiveness and efficiency over traditional model-based methods, largely due to the end-to-end training. However, different from model-based methods that can handle the SISR problem with different scale factors, blur kernels and noise levels under a unified MAP (maximum a posteriori) framework, learning-based methods generally lack such ...Conference Paper -
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects
(2020)Lecture Notes in Computer Science ~ Computer Vision – ECCV 2020Recent advances in image generation gave rise to powerful tools for semantic image editing. However, existing approaches can either operate on a single image or require an abundance of additional information. They are not capable of handling the complete set of editing operations, that is addition, manipulation or removal of semantic concepts. To address these limitations, we propose SESAME, a novel generator-discriminator pair for Semantic ...Conference Paper -
Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds
(2020)Lecture Notes in Computer Science ~ Computer Vision – ECCV 2020Humans can robustly recognize and localize objects by integrating visual and auditory cues. While machines are able to do the same now with images, less work has been done with sounds. This work develops an approach for dense semantic labelling of sound-making objects, purely based on binaural sounds. We propose a novel sensor setup and record a new audio-visual dataset of street scenes with eight professional binaural microphones and a ...Conference Paper -
Video Object Segmentation with Episodic Graph Memory Networks
(2020)Lecture Notes in Computer Science ~ Computer Vision – ECCV 2020 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part IIConference Paper -
Efficient volumetric fusion of airborne and street-side data for urban reconstruction
(2017)Proceedings of the 23rd International Conference on Pattern Recognition, ICPR 2016Conference Paper -
A smartphone-based 3D pipeline for the creative industry - The replicate eu project
(2017)International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ~ 3D Virtual Reconstruction and Visualization of Complex ArchitecturesDuring the last two decades we have witnessed great improvements in ICT hardware and software technologies. Three-dimensional content is starting to become commonplace now in many applications. Although for many years 3D technologies have been used in the generation of assets by researchers and experts, nowadays these tools are starting to become commercially available to every citizen. This is especially the case for smartphones, that ...Conference Paper