Tootfinder

David Loggan spent 12 years sketching & engraving the town & colleges of Cambridge before publishing his book of plates in 1690 as 'Cantabrigia Illustrata'. Background: https://www.museumofcambridge.org.uk/2025/10/david-loggans-views-of-ca…

David Loggan’s views of Cambridge: An extraordinary visual testimony of 17th century Cambridge
By Dr N. Henry The Museum of Cambridge has on display, on the first floor, an antique print of David Loggan’s views of Cambridge from the east and the west. This print was once part of Cantabrigia …

PAL-Net: A Point-Wise CNN with Patch-Attention for 3D Facial Landmark Localization
Ali Shadman Yazdi, Annalisa Cappella, Benedetta Baldini, Riccardo Solazzo, Gianluca Tartaglia, Chiarella Sforza, Giuseppe Baselli
https://arxiv.org/abs/2510.00910

PAL-Net: A Point-Wise CNN with Patch-Attention for 3D Facial Landmark Localization
Manual annotation of anatomical landmarks on 3D facial scans is a time-consuming and expertise-dependent task, yet it remains critical for clinical assessments, morphometric analysis, and craniofacial research. While several deep learning methods have been proposed for facial landmark localization, most focus on pseudo-landmarks or require complex input representations, limiting their clinical applicability. This study presents a fully automated deep learning pipeline (PAL-Net) for localizing 5…

Continuing a bit with the #photos from our #schwarzwald #vacations : (unknowingly) we walked along the Western-way. It was pretty cool because the trail was very diverse as you can see on the photo…

Finally done creating a bookmarklet that lets me do a series of three clean-up #Wikibase edits on #WikimediaCommons files for this notorious user that uploads thousands of files.
The edits replace a creator=<some value> statement into a known value referring to this user’s

File:04578jfRecoletos Church Bulletin Baluarte San Andres Landmarks Intramurosfvf 46.jpg - Wikimedia Commons

Gaussian Semantic Field for One-shot LiDAR Global Localization
Pengyu Yin, Shenghai Yuan, Haozhi Cao, Xingyu Ji, Ruofei Bai, Siyu Chen, Lihua Xie
https://arxiv.org/abs/2510.12101

Gaussian Semantic Field for One-shot LiDAR Global Localization
We present a one-shot LiDAR global localization algorithm featuring semantic disambiguation ability based on a lightweight tri-layered scene graph. While landmark semantic registration-based methods have shown promising performance improvements in global localization compared with geometric-only methods, landmarks can be repetitive and misleading for correspondence establishment. We propose to mitigate this problem by modeling semantic distributions with continuous functions learned from a popu…

"Famous UK landmarks at risk from climate damage, Aviva warns"
#UK #UnitedKingdom #Climate #ClimateChange

Introspection in Learned Semantic Scene Graph Localisation
Manshika Charvi Bissessur, Efimia Panagiotaki, Daniele De Martini
https://arxiv.org/abs/2510.07053 https://

Introspection in Learned Semantic Scene Graph Localisation
This work investigates how semantics influence localisation performance and robustness in a learned self-supervised, contrastive semantic localisation framework. After training a localisation network on both original and perturbed maps, we conduct a thorough post-hoc introspection analysis to probe whether the model filters environmental noise and prioritises distinctive landmarks over routine clutter. We validate various interpretability methods and present a comparative reliability analysis. …

Replaced article(s) found for stat.AP. https://arxiv.org/list/stat.AP/new
[1/1]:
- Spatio-Temporal-Network Point Processes for Modeling Crime Events with Landmarks
Zheng Dong, Jorge Mateu, Yao Xie