28 citations · 53 across the 16 of their papers we have counts for
6 papers · 1 filter
SoccerNet 2023 Challenges Results
Anthony Cioppa, Silvio Giancola, Vladimir Somers +99
The SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vi…
dacl1k: Real-World Bridge Damage Dataset Putting Open-Source Data to the Test
Johannes Flotzinger, Philipp J. Rösch, Norbert Oswald +1
Recognising reinforced concrete defects (RCDs) is a crucial element for determining the structural integrity, traffic safety and durability of bridges. However, most of the existin…
Orientation-Guided Contrastive Learning for UAV-View Geo-Localisation
Fabian Deuser, Konrad Habel, Martin Werner +1
Retrieving relevant multimedia content is one of the main problems in a world that is increasingly data-driven. With the proliferation of drones, high quality aerial footage is now…
CLIP-ReIdent: Contrastive Training for Player Re-Identification
Konrad Habel, Fabian Deuser, Norbert Oswald
Sports analytics benefits from recent advances in machine learning providing a competitive advantage for teams or individuals. One important task in this context is the performance…
Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation
Fabian Deuser, Konrad Habel, Norbert Oswald
Cross-View Geo-Localisation is still a challenging task where additional modules, specific pre-processing or zooming strategies are necessary to determine accurate positions of ima…
NeRFtrinsic Four: An End-To-End Trainable NeRF Jointly Optimizing Diverse Intrinsic and Extrinsic Camera Parameters
Hannah Schieber, Fabian Deuser, Bernhard Egger +2
Novel view synthesis using neural radiance fields (NeRF) is the state-of-the-art technique for generating high-quality images from novel viewpoints. Existing methods require a prio…