Zobrazeno 1 - 10
of 6 791
pro vyhledávání: '"Engelmann, P."'
A key motivation in the development of distributed Model Predictive Control (MPC) is to widen the computational bottleneck of centralized MPC for large-scale systems. Parallelizing computations among individual subsystems, distributed MPC has the pro
Externí odkaz:
http://arxiv.org/abs/2411.05627
Search query suggestions affect users' interactions with search engines, which then influences the information they encounter. Thus, bias in search query suggestions can lead to exposure to biased search results and can impact opinion formation. This
Externí odkaz:
http://arxiv.org/abs/2410.23879
The performance of neural networks scales with both their size and the amount of data they have been trained on. This is shown in both language and image generation. However, this requires scaling-friendly network architectures as well as large-scale
Externí odkaz:
http://arxiv.org/abs/2410.13924
Autor:
Takmaz, Ayca, Delitzas, Alexandros, Sumner, Robert W., Engelmann, Francis, Wald, Johanna, Tombari, Federico
Open-vocabulary 3D segmentation enables the exploration of 3D spaces using free-form text descriptions. Existing methods for open-vocabulary 3D instance segmentation primarily focus on identifying object-level instances in a scene. However, they face
Externí odkaz:
http://arxiv.org/abs/2409.18431
PrePaMS: Privacy-Preserving Participant Management System for Studies with Rewards and Prerequisites
Taking part in surveys, experiments, and studies is often compensated by rewards to increase the number of participants and encourage attendance. While privacy requirements are usually considered for participation, privacy aspects of the reward proce
Externí odkaz:
http://arxiv.org/abs/2409.10192
Autor:
Vogel, Mathias, Tateno, Keisuke, Pollefeys, Marc, Tombari, Federico, Rakotosaona, Marie-Julie, Engelmann, Francis
In this work, we tackle the task of point cloud denoising through a novel framework that adapts Diffusion Schr\"odinger bridges to points clouds. Unlike previous approaches that predict point-wise displacements from point features or learned noise di
Externí odkaz:
http://arxiv.org/abs/2408.16325
Current visual foundation models are trained purely on unstructured 2D data, limiting their understanding of 3D structure of objects and scenes. In this work, we show that fine-tuning on 3D-aware data improves the quality of emerging semantic feature
Externí odkaz:
http://arxiv.org/abs/2407.20229
Autor:
Burke, Jamie, Engelmann, Justin, Gibbon, Samuel, Hamid, Charlene, Moukaddem, Diana, Pugh, Dan, Farrah, Tariq, Strang, Niall, Dhaun, Neeraj, MacGillivray, Tom, King, Stuart, MacCormick, Ian J. C.
Purpose: To describe OCTolyzer: an open-source toolkit for retinochoroidal analysis in optical coherence tomography (OCT) and scanning laser ophthalmoscopy (SLO) images. Method: OCTolyzer has two analysis suites, for SLO and OCT images. The former en
Externí odkaz:
http://arxiv.org/abs/2407.14128
Autor:
Burke, Jamie, Gibbon, Samuel, Engelmann, Justin, Threlfall, Adam, Giarratano, Ylenia, Hamid, Charlene, King, Stuart, MacCormick, Ian J. C., MacGillivray, Tom
Purpose: The purpose of this study was to introduce SLOctolyzer: an open-source analysis toolkit for en face retinal vessels in infrared reflectance scanning laser ophthalmoscopy (SLO) images. Methods: SLOctolyzer includes two main modules: segmentat
Externí odkaz:
http://arxiv.org/abs/2406.16466
Education plays an indispensable role in fostering societal well-being and is widely regarded as one of the most influential factors in shaping the future of generations to come. As artificial intelligence (AI) becomes more deeply integrated into our
Externí odkaz:
http://arxiv.org/abs/2407.13077