Zobrazeno 1 - 10
of 791
pro vyhledávání: '"Gilg P"'
Autor:
Wolters, Philipp, Gilg, Johannes, Teepe, Torben, Herzog, Fabian, Fent, Felix, Rigoll, Gerhard
In this work, we present SpaRC, a novel Sparse fusion transformer for 3D perception that integrates multi-view image semantics with Radar and Camera point features. The fusion of radar and camera modalities has emerged as an efficient perception para
Externí odkaz:
http://arxiv.org/abs/2411.19860
Accurate online multiple-camera vehicle tracking is essential for intelligent transportation systems, autonomous driving, and smart city applications. Like single-camera multiple-object tracking, it is commonly formulated as a graph problem of tracki
Externí odkaz:
http://arxiv.org/abs/2410.02638
Autor:
Karagappa, Apoorva, Betz, Pawandeep Kaur, Gilg, Jonas, Zeumer, Moritz, Gerndt, Andreas, Preim, Bernhard
As the world increasingly relies on mathematical models for forecasts in different areas, effective communication of uncertainty in time series predictions is important for informed decision making. This study explores how users estimate probabilisti
Externí odkaz:
http://arxiv.org/abs/2408.12365
Taking advantage of multi-view aggregation presents a promising solution to tackle challenges such as occlusion and missed detection in multi-object tracking and detection. Recent advancements in multi-view detection and 3D object recognition have si
Externí odkaz:
http://arxiv.org/abs/2403.12573
Autor:
Wolters, Philipp, Gilg, Johannes, Teepe, Torben, Herzog, Fabian, Laouichi, Anouar, Hofmann, Martin, Rigoll, Gerhard
Low-cost, vision-centric 3D perception systems for autonomous driving have made significant progress in recent years, narrowing the gap to expensive LiDAR-based methods. The primary challenge in becoming a fully reliable alternative lies in robust de
Externí odkaz:
http://arxiv.org/abs/2403.07746
Multi-view aggregation promises to overcome the occlusion and missed detection challenge in multi-object detection and tracking. Recent approaches in multi-view detection and 3D object detection made a huge performance leap by projecting all views to
Externí odkaz:
http://arxiv.org/abs/2310.13350
Object detectors are at the heart of many semi- and fully autonomous decision systems and are poised to become even more indispensable. They are, however, still lacking in accessibility and can sometimes produce unreliable predictions. Especially con
Externí odkaz:
http://arxiv.org/abs/2309.03110
Autor:
Betz, Pawandeep Kaur, Stoll, Julien, Grappendorf, Valerie, Gilg, Jonas, Zeumer, Moritz, Klitz, Margrit, Spataro, Luca, Klein, Anna, Rothenhäusler, Lena, Bohnacker, Hartmut, Krämer, Hans, Meyer-Hermann, Michael, Somogyi, Sybille, Gerndt, Andreas, Kühn, Martin J.
Visual analytics tools can help illustrate the spread of infectious diseases and enable informed decisions on epidemiological and public health issues. To create visualisation tools that are intuitive, easy to use, and effective in communicating info
Externí odkaz:
http://arxiv.org/abs/2304.04635
Autor:
Samantha Gilg, Sebastian Acosta, Rohit S. Loomba, Claire Rizk, Gary E. Stapleton, David Faraoni, Fabio Savorgnan
Publikováno v:
Pediatric Investigation, Vol 8, Iss 2, Pp 135-138 (2024)
Externí odkaz:
https://doaj.org/article/f604f71e8f1043a6a3ae9d3c80be75c2
Autor:
Poorna Anandavadivelan, Daniele Cardinale, Rune Blomhoff, Berit Sunde, Kristoffer Lassen, Dyre Kleive, Christian Sturesson, Stefan Gilg, Truls Raastad, Sara Mijwel
Publikováno v:
Trials, Vol 25, Iss 1, Pp 1-13 (2024)
Abstract Background Patients diagnosed with pancreatic, biliary tract, and liver cancer often suffer from a progressive loss of muscle mass. Given the considerable functional impairments in these patients, high musculoskeletal weight loads may not be
Externí odkaz:
https://doaj.org/article/6aea0a7b100d4f31be5f46c6634b7cfb