Tootfinder

Self-dual monopole loops, instantons and confinement
Mendel Nguyen, Mithat \"Unsal
https://arxiv.org/abs/2509.09625 https://arxiv.org/pdf/2509.09625…

Self-dual monopole loops, instantons and confinement
It is well-known that the standard instanton analysis in 4d Yang-Mills is plagued with the instanton size moduli problem, which renders the instanton contribution to vacuum energy density (or one-instanton partition function) infrared divergent. The formalism also ignores the implications of long range (magnetic dipole type) $1/r^4$ interaction between the small instantons, since it is weaker than Coulomb interaction. We show that in $U(1)$ lattice gauge theory, where finite action configuratio…

Raw2Event: Converting Raw Frame Camera into Event Camera
Zijie Ning, Enmin Lin, Sudarshan R. Iyengar, Patrick Vandewalle
https://arxiv.org/abs/2509.06767 https://

Raw2Event: Converting Raw Frame Camera into Event Camera
Event cameras offer unique advantages such as high temporal resolution, low latency, and high dynamic range, making them more and more popular for vision tasks under challenging light conditions. However, their high cost, limited resolution, and lack of features such as autofocus hinder their broad adoption, particularly for early-stage development and prototyping. In this work, we present Raw2Event, a complete hardware-software system that enables real-time event generation from low-cost raw f…

Après la pink tax, la taxe vegan ? J'en étais certain, ça existait. Sinon, pourquoi les produits vegan seraient plus chers que les versions carnées ? Sûrement pour se faire du gras sur les bobos, pensais-je. Et cette vidéo m'a appris que ce n'est pas le principal : https://www.youtube.com/watch?v=FOIP0FeH56k

Nova: Real-Time Agentic Vision-Language Model Serving with Adaptive Cross-Stage Parallelization
Yuhang Xu, Shengzhong Liu, Dong Zhang, Bingheng Yan, Fan Wu, Guihai Chen
https://arxiv.org/abs/2509.21301

Nova: Real-Time Agentic Vision-Language Model Serving with Adaptive Cross-Stage Parallelization
This paper presents Nova, a real-time scheduling framework for serving agentic vision-language models (VLMs) on a single GPU with balanced per-request latency and overall request process throughput. Our design begins by enabling effective pipelining across vision encode, LLM prefill, and LLM decode stages of VLMs, by exploiting their heterogeneous resource demands during execution and incorporating elastic GPU spatial partitioning among stages to maximally utilize the compute and memory resourc…

An AI-Based Shopping Assistant System to Support the Visually Impaired
Larissa R. de S. Shibata, Ankit A. Ravankar, Jose Victorio Salazar Luces, Yasuhisa Hirata
https://arxiv.org/abs/2509.01246

An AI-Based Shopping Assistant System to Support the Visually Impaired
Shopping plays a significant role in shaping consumer identity and social integration. However, for individuals with visual impairments, navigating in supermarkets and identifying products can be an overwhelming and challenging experience. This paper presents an AI-based shopping assistant prototype designed to enhance the autonomy and inclusivity of visually impaired individuals in supermarket environments. The system integrates multiple technologies, including computer vision, speech recognit…

O Bloco continua a dar tiros nos pés. Só com uma deputada, e a deputada embarca numa viagem que, por importante que seja, silencia por completo o partido no reinício da atividade parlamentar.
Se contava que a imprensa acompanhasse a flotilha, ainda não percebeu o que se tem passado com a imprensa nos últimos anos.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/4]:
- Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models
Xinyu Chen, Haotian Zhai, Can Zhang, Xiupeng Shi, Ruirui Li

HCCM: Hierarchical Cross-Granularity Contrastive and Matching Learning for Natural Language-Guided Drones
Hao Ruan, Jinliang Lin, Yingxin Lai, Zhiming Luo, Shaozi Li
https://arxiv.org/abs/2508.21539

HCCM: Hierarchical Cross-Granularity Contrastive and Matching Learning for Natural Language-Guided Drones
Natural Language-Guided Drones (NLGD) provide a novel paradigm for tasks such as target matching and navigation. However, the wide field of view and complex compositional semantics in drone scenarios pose challenges for vision-language understanding. Mainstream Vision-Language Models (VLMs) emphasize global alignment while lacking fine-grained semantics, and existing hierarchical methods depend on precise entity partitioning and strict containment, limiting effectiveness in dynamic environments…

Sketchar: Supporting Character Design and Illustration Prototyping Using Generative AI
Long Ling, Xinyi Chen, Ruoyu Wen, Toby Jia-Jun Li, Ray LC
https://arxiv.org/abs/2508.12333

Sketchar: Supporting Character Design and Illustration Prototyping Using Generative AI
Character design in games involves interdisciplinary collaborations, typically between designers who create the narrative content, and illustrators who realize the design vision. However, traditional workflows face challenges in communication due to the differing backgrounds of illustrators and designers, the latter with limited artistic abilities. To overcome these challenges, we created Sketchar, a Generative AI (GenAI) tool that allows designers to prototype game characters and generate imag…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/4]:
- Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models
Xinyu Chen, Haotian Zhai, Can Zhang, Xiupeng Shi, Ruirui Li