37 citations · 175 across the 18 of their papers we have counts for
5 papers · 1 filter
ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment
Robin Karlsson, Tomoki Hayashi, Keisuke Fujii +3
Recent self-supervised models have demonstrated equal or better performance than supervised methods, opening for AI systems to learn visual representations from practically unlimit…
CFT correlators, -algebras and Generalized Catalan Numbers
Robin Karlsson, Manuela Kulaxizi, Gim Seng Ng +2
In two spacetime dimensions the Virasoro heavy-heavy-light-light (HHLL) vacuum block in a certain limit is governed by the Catalan numbers. The equation for their generating functi…
Learning a Model for Inferring a Spatial Road Lane Network Graph using Self-Supervision
Robin Karlsson, David Robert Wong, Simon Thompson +1
Interconnected road lanes are a central concept for navigating urban roads. Currently, most autonomous vehicles rely on preconstructed lane maps as designing an algorithmic model i…
Probabilistic Rainfall Estimation from Automotive Lidar
Robin Karlsson, David Robert Wong, Kazunari Kawabata +2
Robust sensing and perception in adverse weather conditions remain one of the biggest challenges for realizing reliable autonomous vehicle mobility services. Prior work has establi…
Thermalization in Large-N CFTs
Robin Karlsson, Andrei Parnachev, Petar Tadić
In d-dimensional CFTs with a large number of degrees of freedom an important set of operators consists of the stress tensor and its products, multi stress tensors. Thermalization o…