1. Multi Agent Reinforcement Learning for Karma Economies 

   Vaishampayan, Saurabh (2024)

   Recently, new class of dynamic resource allocation mechanisms, called karma mechanisms, have shown great promise in acheiving fair and efficient outcomes. The analysis of karma mechanisms relies on the availability of versatile computational tools to predict the Nash equilibrium of a "karma game". Existing algorithms used to compute Nash equilibria of a karma game are centralized in nature, severely limiting the size and complexity of ...

   Master Thesis

2. Synchronizing the Western Gotland Basin (Baltic Sea) and Lake Kalksjon (central Sweden) sediment records using common cosmogenic radionuclide production variations 

   Czymzik, Markus; Christl, Marcus; Dellwig, Olaf; et al. (2024)

   The Holocene

   Multi-archive studies of climate events and archive-specific response times require synchronous time scales. Aligning common variations in the cosmogenic radionuclide production rate via curve fitting methods provides a tool for the continuous synchronization of natural environmental archives down to decadal precision. Based on this approach, we synchronize Be-10 records from Western Gotland Basin (WGB, Baltic Sea) and Lake Kalksjon (KKJ, ...

   Journal Article

3. Privacy Preserving Localization via Coordinate Permutations 

   Pan, Linfei; Schonberger, Johannes L.; Larsson, Viktor; et al. (2023)

   2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2023)

   Recent methods on privacy-preserving image-based localization use a random line parameterization to protect the privacy of query images and database maps. The lifting of points to lines effectively drops one of the two geometric constraints traditionally used with point-to-point correspondences in structure-based localization. This leads to a significant loss of accuracy for the privacy-preserving methods. In this paper, we overcome this ...

   Conference Paper

4. SQAD: Automatic Smartphone Camera Quality Assessment and Benchmarking 

   Fang, Zilin; Ignatov, Andrey; Zamfir, Eduard; et al. (2023)

   2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2023)

   Smartphone photography is becoming increasingly popular, but fitting high-performing camera systems within the given space limitations remains a challenge for manufacturers. As a result, powerful mobile camera systems are in high demand. Despite recent progress in computer vision, camera system quality assessment remains a tedious and manual process. In this paper, we present the Smartphone Camera Quality Assessment Dataset (SQAD), which ...

   Conference Paper

5. A High Efficiency, Low Resistance Antibacterial Filter Formed by Dopamine-Mediated In Situ Deposition of Silver onto Glass Fibers 

   Sun, Zhaoxia; Kong, Ying; Lan, Liang; et al. (2024)

   Small

   The coating of filter media with silver is typically achieved by chemical deposition and aerosol processes. Whilst useful, such approaches struggle to provide uniform coating and are prone to blockage. To address these issues, an in situ method for coating glass fibers is presented via the dopamine-mediated electroless metallization method, yielding filters with low air resistance and excellent antibacterial performance. It is found that ...

   Journal Article

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