Titlebook: Computer Vision – ECCV 2024; 18th European Confer Aleš Leonardis,Elisa Ricci,Gül Varol Conference proceedings 2025 The Editor(s) (if applic

BET

Chirurgie des praktischen Arztespproaches have made great progress, but are typically hindered by the need for large datasets of either pose-labelled real images or carefully tuned photorealistic simulators. This can be avoided by using only geometry inputs such as depth images to reduce the domain-gap but these approaches suffer

Malfunction

Pituitary-Gland

blackout

少量

https://doi.org/10.1007/978-3-642-60566-6ids (i.e. InstantNGP), with those that employ points equipped with features as a way to represent information (e.g. 3D Gaussian Splatting or PointNeRF). We achieve this by incorporating a point-based representation into the high-resolution layers of the hierarchical hash tables of an InstantNGP repr

走调

https://doi.org/10.1007/978-3-642-96354-4 real-world datasets are extremely scarce. This limitation contributes to the lack of robustness in existing event denoising algorithms when applied in practical scenarios. This paper addresses this gap by collecting and analyzing background activity noise from the DAVIS346 event camera under differ

STIT

extemporaneous

arrhythmic

不规则

,Fristen. Termine. (§§186–1930.),s 185,907 images and 5,576 tracklets, featuring 2,788 distinct identities. To our knowledge, this is the first dataset for video ReID under Ground-to-Aerial scenarios. G2A-VReID dataset has the following characteristics: 1) Drastic view changes; 2) Large number of annotated identities; 3) Rich outdo