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Showing 5598 results for "frederic pascal"
AI & Data Science Preprint PDF DOI

Cross-Scale Pansharpening via ScaleFormer and the PanScale Benchmark

Ke Cao, Xuanhua He, Xueheng Li, Lingting Zhu, Yingying Wang, Ao Ma, Zhanjie Zhang, Man Zhou, Chengjun Xie, Jie Zhang ยท 2026

Pansharpening aims to generate high-resolution multi-spectral images by fusing the spatial detail of panchromatic images with the spectral richness of low-resolution MS data. However, most existing meโ€ฆ

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AI & Data Science Preprint PDF DOI

Learning Accurate Segmentation Purely from Self-Supervision

Zuyao You, Zuxuan Wu, Yu-Gang Jiang ยท 2026

Accurately segmenting objects without any manual annotations remains one of the core challenges in computer vision. In this work, we introduce Selfment, a fully self-supervised framework that segmentsโ€ฆ

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AI & Data Science Preprint PDF DOI

Cross-Task Benchmarking of CNN Architectures

Kamal Sherawat, Vikrant Bhati ยท 2026

This project provides a comparative study of dynamic convolutional neural networks (CNNs) for various tasks, including image classification, segmentation, and time series analysis. Based on the ResNetโ€ฆ

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Computer Science Preprint PDF DOI

Two NP-hard Extensions of the Spearman Footrule even for a Small Constant Number of Voters

Martin Durand ยท 2026

The Spearman footrule is a voting rule that takes as input voter preferences expressed as rankings. It outputs a ranking that minimizes the sum of the absolute differences between the position of eachโ€ฆ

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Mathematics Preprint PDF DOI

Classifying anima of condensed $\infty$-categories of points

Peter J. Haine ยท 2026

We compare the classifying anima of two natural condensed $\infty$-categories associated to a coherent $\infty$-topos. One from our work with Barwick and Glasman on exit-path categories in algebraic gโ€ฆ

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AI & Data Science Preprint PDF DOI

EW-DETR: Evolving World Object Detection via Incremental Low-Rank DEtection TRansformer

Munish Monga, Vishal Chudasama, Pankaj Wasnik, C.V. Jawahar ยท 2026

Real-world object detection must operate in evolving environments where new classes emerge, domains shift, and unseen objects must be identified as "unknown": all without accessing prior data. We intrโ€ฆ

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AI & Data Science Preprint PDF DOI

AHC: Meta-Learned Adaptive Compression for Continual Object Detection on Memory-Constrained Microcontrollers

Bibin Wilson ยท 2026

Deploying continual object detection on microcontrollers (MCUs) with under 100KB memory requires efficient feature compression that can adapt to evolving task distributions. Existing approaches rely oโ€ฆ

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History & Literature Preprint PDF DOI

Dutch Colonial Time: Time Signals in Paramaribo and the Dutch Caribbean

Richard de Grijs (Macquarie University, Sydney, Australia) ยท 2026

In the nineteenth century, the Dutch established time signals in their Atlantic colonies to synchronise maritime navigation with European standards. In Paramaribo (Suriname), a sophisticated sequence โ€ฆ

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History & Literature Preprint PDF DOI

Marking Noon: The Time Balls and Time Flaps of the Netherlands

Richard de Grijs (Macquarie University, Sydney, Australia) ยท 2026

In the nineteenth century, the Netherlands quickly adopted the time ball -- a British innovation for maritime chronometer calibration -- in its main naval ports (Nieuwediep/Den Helder, Vlissingen, Helโ€ฆ

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Economics & Finance Preprint PDF DOI

Fiscal Limits to Protectionism: The 2025 U.S. Tariff Laffer Curve

Pau Pujolas, Jack Rossbach ยท 2026

We quantify the Tariff Laffer Curve for the U.S. using a multi-sector Ricardian model calibrated to the 2025 US trade war. We find revenue-maximizing tariffs of 20--30 percent and welfare-maximizing rโ€ฆ

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Computer Science Preprint PDF DOI

OpenClaw AI Agents as Informal Learners at Moltbook: Characterizing an Emergent Learning Community at Scale

Eason Chen, Ce Guan, Ahmed Elshafiey, Zhonghao Zhao, Joshua Zekeri, Afeez Edeifo Shaibu, Emmanuel Osadebe Prince, Cyuan Jhen Wu ยท 2026

Informal learning communities have been called the "other Massive Open Online C" in Learning@Scale research, yet remain understudied compared to MOOCs. We present the first empirical study of a large-โ€ฆ

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Computer Science Preprint PDF DOI

Is Robot Labor Labor? Delivery Robots and the Politics of Work in Public Space

EunJeong Cheon, Do Yeon Shin ยท 2026

As sidewalk delivery robots become increasingly integrated into urban life, this paper begins with a critical provocation: Is robot labor labor? More than a rhetorical question, this inquiry invites cโ€ฆ

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AI & Data Science Preprint PDF DOI

Semantic-Guided 3D Gaussian Splatting for Transient Object Removal

Aditi Prabakaran, Priyesh Shukla ยท 2026

Transient objects in casual multi-view captures cause ghosting artifacts in 3D Gaussian Splatting (3DGS) reconstruction. Existing solutions relied on scene decomposition at significant memory cost or โ€ฆ

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Physics Preprint PDF DOI

Sub-1-Angstrom-Resolution Imaging Reveals Phase Contrast Transition in Ice Ih Caused by Basal Stacking Faults

Jingshan S. Du, Suvo Banik, Lehan Yao, Shuai Zhang, Subramanian K. R. S. Sankaranarayanan, James J. De Yoreo ยท 2026

Phase-contrast transmission electron microscopy (TEM) of hexagonal ice (Ih) along [0001] sometimes shows a honeycomb-like pattern, often interpreted as individual oxygen columns in single crystals. Heโ€ฆ

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AI & Data Science Preprint PDF DOI

Cardiac Output Prediction from Echocardiograms: Self-Supervised Learning with Limited Data

Adson Duarte, Davide Vitturini, Emanuele Milillo, Andrea Bragagnolo, Carlo Alberto Barbano, Riccardo Renzulli, Michele Cannito, Federico Giacobbe, Francesco Bruno, Ovidio de Filippo, Fabrizio D'Ascenzo, Marco Grangetto ยท 2026

Cardiac Output (CO) is a key parameter in the diagnosis and management of cardiovascular diseases. However, its accurate measurement requires right-heart catheterization, an invasive and time-consuminโ€ฆ

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AI & Data Science Preprint PDF DOI

Gaussian Sequences with Multi-Scale Dynamics for 4D Reconstruction from Monocular Casual Videos

Can Li, Jie Gu, Jingmin Chen, Fangzhou Qiu, Lei Sun ยท 2026

Understanding dynamic scenes from casual videos is critical for scalable robot learning, yet four-dimensional (4D) reconstruction under strictly monocular settings remains highly ill-posed. To addressโ€ฆ

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AI & Data Science Preprint PDF DOI

DynaGuide: A Generalizable Dynamic Guidance Framework for Unsupervised Semantic Segmentation

Boujemaa Guermazi, Riadh Ksantini, Naimul Khan ยท 2026

Unsupervised image segmentation is a critical task in computer vision. It enables dense scene understanding without human annotations, which is especially valuable in domains where labelled data is scโ€ฆ

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Computer Science Preprint PDF DOI

Benchmarking LLM Tool-Use in the Wild

Peijie Yu, Wei Liu, Yifan Yang, Jinjian Li, Zelong Zhang, Xiao Feng, Feng Zhang ยท 2026

Fulfilling user needs through Large Language Model multi-turn, multi-step tool-use is rarely a straightforward process. Real user interactions are inherently wild, being intricate, messy, and flexibleโ€ฆ

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AI & Data Science Preprint PDF DOI

PASCAL: A Phase-Aware Scheduling Algorithm for Serving Reasoning-based Large Language Models

Eunyeong Cho, Jehyeon Bang, Ranggi Hwang, Minsoo Rhu ยท 2026

The emergence of reasoning-based LLMs leveraging Chain-of-Thought (CoT) inference introduces new serving challenges, as their extended reasoning phases delay user-visible output and inflate Time-To-Fiโ€ฆ

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Sociology & Anthropology Preprint PDF DOI

Cooperative Sovereignty on Mars: Lessons from the International Telecommunication Union and Universal Postal Union

Alexander H. Ferdinand Ferguson, Jacob Haqq-Misra ยท 2026

As humans make ambitious efforts toward long-duration activities beyond Earth, new challenges will continue to emerge that highlight the need for governance frameworks capable of managing shared resouโ€ฆ

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