Tootfinder

Gemini, especially with "research" mode has this vibe of 2000 Internet where knowledge was right there, about nearly anything, without SEO bullshit and ads.
This time it's much faster and better, for the most part.
Unpopular: I think this will cause a renaissance of world wide web. All that bullshit SEO driven websites will die, those made by passionate people and specialists will prevail (because we don't care) and we will get even more traffic than now due t…

Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction
Hyeon Jeon, Hyunwook Lee, Yun-Hsin Kuo, Taehyun Yang, Daniel Archambault, Sungahn Ko, Takanori Fujiwara, Kwan-Liu Ma, Jinwook Seo
https://arxiv.org/abs/2506.14820

Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction
Visual analytics using dimensionality reduction (DR) can easily be unreliable for various reasons, e.g., inherent distortions in representing the original data. The literature has thus proposed a wide range of methodologies to make DR-based visual analytics reliable. However, the diversity and extensiveness of the literature can leave novice analysts and researchers uncertain about where to begin and proceed. To address this problem, we propose a guide for reading papers for reliable visual ana…

Derzeit bewegt sich viel von Google hin zu Chatbots oder KI-Suchmaschinen.
Wer sich da als SEO nicht abhängen lassen will, sollte sich mal RankScale anschauen. Kommt aus Österreich und analysiert fast jede KI. Super Tool!
https://rankscale.ai/

Rankscale.ai | AI Rank Tracker & Visibility Monitoring Tool
Track your AI rankings & monitor visibility on Perplexity, ChatGPT & more. Rankscale is the AI Rank Tracker built for next-gen search optimization. Track your AI search rankings daily and see how your visibility evolves. Analyze AI result citations and brand sentiments. Uncover, survey, and outpace competitors. Audit your website to see how AI understands it. Identify gaps and content optimization potential.

Enhancing eLoran Timing Accuracy via Machine Learning with Meteorological and Terrain Data
Taewon Kang, Seunghyeon Park, Pyo-Woong Son, Jiwon Seo
https://arxiv.org/abs/2506.15235 …

Enhancing eLoran Timing Accuracy via Machine Learning with Meteorological and Terrain Data
The vulnerabilities of global navigation satellite systems (GNSS) to signal interference have increased the demand for complementary positioning, navigation, and timing (PNT) systems. To address this, South Korea has decided to deploy an enhanced long-range navigation (eLoran) system as a complementary PNT solution. Similar to GNSS, eLoran provides highly accurate timing information, which is essential for applications such as telecommunications, financial systems, and power distribution. Howev…

Energy Spectrum and Mass Composition of Ultra-High-Energy Cosmic Rays Originating from Relativistic Jets of Nearby Radio Galaxies
Jeongbhin Seo (Department of Physics, College of Natural Sciences, UNIST, Korea, Los Alamos National Laboratory, Theoretical Division, USA), Dongsu Ryu (Department of Physics, College of Natural Sciences, UNIST, Korea), Hyesung Kang (Department of Earth Sciences, Pusan National University, Korea)

Energy Spectrum and Mass Composition of Ultra-High-Energy Cosmic Rays Originating from Relativistic Jets of Nearby Radio Galaxies
Relativistic jets of radio galaxies (RGs) are possible sources of ultra-high-energy cosmic rays (UHECRs). Recent studies combining relativistic hydrodynamic simulations with Monte Carlo particle transport have demonstrated that UHECRs can be accelerated to energies beyond $10^{20}$ eV through shocks, turbulence, and relativistic shear in jet-induced flows of Fanaroff-Riley (FR) type RGs. The resulting time-asymptotic UHECR spectrum is well modeled by a double power law with an ``extended'' expo…

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[2/4]:
- COIN: Confidence Score-Guided Distillation for Annotation-Free Cell Segmentation
Sanghyun Jo, Seo Jin Lee, Seungwoo Lee, Seohyung Hong, Hyungseok Seo, Kyungsu Kim

I know my web site "isn't doing well," but the SEO spammer fucks really have some cheek to take that line when their contact method is a hotmail/yahoo/gmail account.

Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models
Huihan Liu, Rutav Shah, Shuijing Liu, Jack Pittenger, Mingyo Seo, Yuchen Cui, Yonatan Bisk, Roberto Mart\'in-Mart\'in, Yuke Zhu
https://arxiv.org/abs/2506.14727

Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models
Assistive teleoperation, where control is shared between a human and a robot, enables efficient and intuitive human-robot collaboration in diverse and unstructured environments. A central challenge in real-world assistive teleoperation is for the robot to infer a wide range of human intentions from user control inputs and to assist users with correct actions. Existing methods are either confined to simple, predefined scenarios or restricted to task-specific data distributions at training, limit…

Unconventional Spin Dynamics and Supersolid Excitations in the Triangular-Lattice XXZ Model
Rafael Flores-Calder\'on, Roderich Moessner, Frank Pollmann
https://arxiv.org/abs/2506.15516

Unconventional Spin Dynamics and Supersolid Excitations in the Triangular-Lattice XXZ Model
Motivated by recent experiments, we investigate the spin-1/2 XXZ model on the triangular lattice with strong Ising anisotropy, combining large-scale numerical simulations and analytical methods to uncover unconventional spin dynamics. First, we compute the dynamical spin structure factor using density matrix renormalization group (DMRG) simulations and find excellent agreement with inelastic neutron scattering data on the layered compound $\text{K}_2\text{Co}(\text{SeO}_3)_2$. The low-energy sp…

Spectral partitioning of graphs into compact, connected regions
Ewan Davies, Ryan Job, Maxine Kampbell, Hannah Kim, Hyojin Seo
https://arxiv.org/abs/2506.13982

Spectral partitioning of graphs into compact, connected regions
We define and study a spectral recombination algorithm, SpecReCom, for partitioning a graph into a given number of connected parts. It is straightforward to introduce additional constraints such as the requirement that the weight (or number of vertices) in each part is approximately balanced, and we exemplify this by stating a variant, BalSpecReCom, of the SpecReCom algorithm. We provide empirical evidence that the algorithm achieves more compact partitions than alternatives such as RevReCom by…

Cross-Modal Watermarking for Authentic Audio Recovery and Tamper Localization in Synthesized Audiovisual Forgeries
Minyoung Kim, Sehwan Park, Sungmin Cha, Paul Hongsuck Seo
https://arxiv.org/abs/2507.12723

Cross-Modal Watermarking for Authentic Audio Recovery and Tamper Localization in Synthesized Audiovisual Forgeries
Recent advances in voice cloning and lip synchronization models have enabled Synthesized Audiovisual Forgeries (SAVFs), where both audio and visuals are manipulated to mimic a target speaker. This significantly increases the risk of misinformation by making fake content seem real. To address this issue, existing methods detect or localize manipulations but cannot recover the authentic audio that conveys the semantic content of the message. This limitation reduces their effectiveness in combatin…

Alert - new email spam angle!

IDFace: Face Template Protection for Efficient and Secure Identification
Sunpill Kim, Seunghun Paik, Chanwoo Hwang, Dongsoo Kim, Junbum Shin, Jae Hong Seo
https://arxiv.org/abs/2507.12050

IDFace: Face Template Protection for Efficient and Secure Identification
As face recognition systems (FRS) become more widely used, user privacy becomes more important. A key privacy issue in FRS is protecting the user's face template, as the characteristics of the user's face image can be recovered from the template. Although recent advances in cryptographic tools such as homomorphic encryption (HE) have provided opportunities for securing the FRS, HE cannot be used directly with FRS in an efficient plug-and-play manner. In particular, although HE is functionally c…

Counting homomorphisms in antiferromagnetic graphs via Lorentzian polynomials
Joonkyung Lee, Jaeseong Oh, Jaehyeon Seo
https://arxiv.org/abs/2506.13659 htt…

Counting homomorphisms in antiferromagnetic graphs via Lorentzian polynomials
An edge-weighted graph $G$, possibly with loops, is said to be antiferromagnetic if it has nonnegative weights and at most one positive eigenvalue, counting multiplicities. The number of graph homomorphisms from a graph $H$ to an antiferromagnetic graph $G$ generalises various important parameters in graph theory, including the number of independent sets and proper vertex-colourings, as well as their relaxations in statistical physics. We obtain homomorphism inequalities for various graphs $H…

Ich nehme an einem #SEO #Contest von #Agenturtipp teil. Wenn ihr mir helfen wollt, teilt gern diesen Beitrag zum Thema #KeywordKönig

Der Keywordkönig: Die Souveräne Macht im Digitalen Reich – Eine Proklamation
Der Keywordkönig läutet eine neue Epoche im Online-Marketing ein. In einer Welt, die immer digitaler wird, ist die Sichtbarkeit im Internet nicht nur ein

Ein Win auf den wir gerade richtig stolz sind. 🥹
Beim größten SEO-Wettbewerb Deutschlands von Agenturtipp.de mit über 100 teilnehmenden Agenturen haben wir mit HECHT INS GEFECHT ⚓️ nicht nur den dritten Platz 🥉 geholt – sondern auch den Sonderpreis für die höchste Sichtbarkeit in KI-Suchmaschinen eingesackt! ❤️‍🔥

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/6]:
- Compositional Flows for 3D Molecule and Synthesis Pathway Co-design
Tony Shen, Seonghwan Seo, Ross Irwin, Kieran Didi, Simon Olsson, Woo Youn Kim, Martin Ester

A spam marketing operation exploited some domains owned by NPR, Nvidia, Stanford, and the US CDC to host AI slop articles redirecting users to an SEO spam site (Samantha Cole/404 Media)
https://www.404media.co/spam-blogs-ai-slop-domains-wowlazy/

Why Was Nvidia Hosting Blogs About 'Brazilian Facesitting Fart Games'?
Domains owned by Nvidia, Stanford, NPR and the U.S. government are being quietly eaten by AI slop.

Scaling Laws for Caudal Fin Swimmers Incorporating Hydrodynamics, Kinematics, Morphology, and Scale Effects
Jung Hee Seo, Ji Zhou, Rajat Mittal
https://arxiv.org/abs/2507.11665

Scaling Laws for Caudal Fin Swimmers Incorporating Hydrodynamics, Kinematics, Morphology, and Scale Effects
Many species of fish, as well as biorobotic underwater vehicles, employ body caudal fin propulsion, in which a wave-like body motion culminates in high-amplitude caudal fin oscillations to generate thrust. This study uses high fidelity simulations of a mackerel-inspired caudal fin swimmer across a wide range of Reynolds and Strouhal numbers to analyze the relationship between swimming kinematics and hydrodynamic forces. Central to this work is the derivation and use of a model for the leading e…

Enhancing Urban GNSS Positioning Reliability via Conservative Satellite Selection Using Unanimous Voting Across Multiple Machine Learning Classifiers
Sanghyun Kim, Jiwon Seo
https://arxiv.org/abs/2507.12706

Enhancing Urban GNSS Positioning Reliability via Conservative Satellite Selection Using Unanimous Voting Across Multiple Machine Learning Classifiers
In urban environments, global navigation satellite system (GNSS) positioning is often compromised by signal blockages and multipath effects caused by buildings, leading to significant positioning errors. To address this issue, this study proposes a robust enhancement of zonotope shadow matching (ZSM)-based positioning by employing a conservative satellite selection strategy using unanimous voting across multiple machine learning classifiers. Three distinct models - random forest (RF), gradient …

«Why Was Nvidia Hosting Blogs About 'Brazilian Facesitting Fart Games'?»
For the same reason that the internet is drowning in "AI" slop left and right: SEO link farm spammers creep have for years crept into every crevice using half-automated spam.
https://www.404media.co/spam-blogs-ai-slop-domains-wowlazy/

Zwischen digitalem Nebel und Blog-Ruinen: Die deutsche Blogosphäre lebt – leise, aber beständig. Horst Schulte sieht eine stille Wiederbelebung, fernab von SEO und Influencer-Hype. Blogs bleiben Oasen für Gedanken und Persönlichkeit. #Bloggen
Bloggen in Deutschland – Zwischen Verschwinden und Verwandlung

Bloggen in Deutschland – Zwischen Verschwinden und Verwandlung
Wie viele Blogs gibt es eigentlich in Deutschland? Wie viele davon sind noch

Roles of SN and AGN Feedback in Shaping the Baryonic Content in a Wide Range of Dark Matter Halo Mass
Emanuele Contini, Chanjo Seo, Jinsu Rhee, Jeon Seyoung, Sukyoung K. Yi
https://arxiv.org/abs/2507.10673

Roles of SN and AGN Feedback in Shaping the Baryonic Content in a Wide Range of Dark Matter Halo Mass
We build upon FEGA25 (Contini et al 2025), a previously introduced semi-analytic model for galaxy formation and evolution, focusing on its enhanced treatment of supernova and active galactic nucleus feedback mechanisms. In addition to the traditional AGN feedback modes, negative (suppressing cooling), and the new positive mode (triggering star formation), we introduce two implementations of a third mode: the ejection of hot gas beyond the virial radius, AGNeject1 and AGNeject2. This component a…

Dataset-Adaptive Dimensionality Reduction
Hyeon Jeon, Jeongin Park, Soohyun Lee, Dae Hyun Kim, Sungbok Shin, Jinwook Seo
https://arxiv.org/abs/2507.11984 h…

Dataset-Adaptive Dimensionality Reduction
Selecting the appropriate dimensionality reduction (DR) technique and determining its optimal hyperparameter settings that maximize the accuracy of the output projections typically involves extensive trial and error, often resulting in unnecessary computational overhead. To address this challenge, we propose a dataset-adaptive approach to DR optimization guided by structural complexity metrics. These metrics quantify the intrinsic complexity of a dataset, predicting whether higher-dimensional s…

Just a reminder that you don't need to be on WP to do the fade in thingy - nice that they can finally do it though.
on https://www.simoncox.com I added
main{
animation: fadeIn 1s;
}
@keyframes fadeIn {
0% { opacity: 0; }
100% { opacity: 1; }
}

Quantum mixture-density network for multimodal probabilistic prediction
Jaemin Seo
https://arxiv.org/abs/2506.09497 https://arxiv.org…

Quantum mixture-density network for multimodal probabilistic prediction
Multimodal probability distributions are common in both quantum and classical systems, yet modeling them remains challenging when the number of modes is large or unknown. Classical methods such as mixture-density networks (MDNs) scale poorly, requiring parameter counts that grow quadratically with the number of modes. We introduce a Quantum Mixture-Density Network (Q-MDN) that employs parameterized quantum circuits to efficiently model multimodal distributions. By representing an exponential nu…

EquiContact: A Hierarchical SE(3) Vision-to-Force Equivariant Policy for Spatially Generalizable Contact-rich Tasks
Joohwan Seo, Arvind Kruthiventy, Soomi Lee, Megan Teng, Xiang Zhang, Seoyeon Choi, Jongeun Choi, Roberto Horowitz
https://arxiv.org/abs/2507.10961

EquiContact: A Hierarchical SE(3) Vision-to-Force Equivariant Policy for Spatially Generalizable Contact-rich Tasks
This paper presents a framework for learning vision-based robotic policies for contact-rich manipulation tasks that generalize spatially across task configurations. We focus on achieving robust spatial generalization of the policy for the peg-in-hole (PiH) task trained from a small number of demonstrations. We propose EquiContact, a hierarchical policy composed of a high-level vision planner (Diffusion Equivariant Descriptor Field, Diff-EDF) and a novel low-level compliant visuomotor policy (Ge…

d-DQIVAR: Data-centric Visual Analytics and Reasoning for Data Quality Improvement
Hyein Hong, Sangbong Yoo, SeokHwan Choi, Jisue Kim, Seongbum Seo, Haneol Cho, Chansoo Kim, Yun Jang
https://arxiv.org/abs/2507.11960

d-DQIVAR: Data-centric Visual Analytics and Reasoning for Data Quality Improvement
Approaches to enhancing data quality (DQ) are classified into two main categories: data- and process-driven. However, prior research has predominantly utilized batch data preprocessing within the data-driven framework, which often proves insufficient for optimizing machine learning (ML) model performance and frequently leads to distortions in data characteristics. Existing studies have primarily focused on data preprocessing rather than genuine data quality improvement (DQI). In this paper, we …

@… let the SEO battle begin

Addressing Pitfalls in Auditing Practices of Automatic Speech Recognition Technologies: A Case Study of People with Aphasia
Katelyn Xiaoying Mei, Anna Seo Gyeong Choi, Hilke Schellmann, Mona Sloane, Allison Koenecke
https://arxiv.org/abs/2506.08846

Addressing Pitfalls in Auditing Practices of Automatic Speech Recognition Technologies: A Case Study of People with Aphasia
Automatic Speech Recognition (ASR) has transformed daily tasks from video transcription to workplace hiring. ASR systems' growing use warrants robust and standardized auditing approaches to ensure automated transcriptions of high and equitable quality. This is especially critical for people with speech and language disorders (such as aphasia) who may disproportionately depend on ASR systems to navigate everyday life. In this work, we identify three pitfalls in existing standard ASR auditing pro…

Coexistence of anomalous spin dynamics and weak magnetic order in a chiral trillium lattice K2FeSn(PO4)3
J. Khatua, S. Krishnamoorthi, Changhyun Koo, Gyungbin Ban, Taeyun Kim, Suyoung Kim, Yugo Oshima, Jonas A. Krieger, Thomas J. Hicken, Hubertus Luetkens, Marc Uhlarz, Eundeok Mun, Kyeong Jun Lee, Seo Hyoung Chang, R. Sankar, Kwang-Yong Choi
https://…

Coexistence of anomalous spin dynamics and weak magnetic order in a chiral trillium lattice K2FeSn(PO4)3
Trillium lattices, where magnetic ions form a three-dimensional chiral network of corner-sharing equilateral triangular motifs, offer a prominent platform to explore exotic quantum states. In this work, we report ground-state properties of the $S$ = 5/2 trillium lattice compound K$_{2}$FeSn(PO$_{4}$)$_{3}$ through thermodynamic, electron spin resonance (ESR), and muon spin relaxation ($μ$SR) experiments. Thermodynamic and ESR measurements reveal the two-step evolution of magnetic correlations …

Joint Spectrum Sensing and Resource Allocation for OFDMA-based Underwater Acoustic Communications
Minwoo Kim, Youngchol Choi, Yeongjun Kim, Eojin Seo, Hyun Jong Yang
https://arxiv.org/abs/2506.13008

Joint Spectrum Sensing and Resource Allocation for OFDMA-based Underwater Acoustic Communications
Underwater acoustic (UWA) communications generally rely on cognitive radio (CR)-based ad-hoc networks due to challenges such as long propagation delay, limited channel resources, and high attenuation. To address the constraints of limited frequency resources, UWA communications have recently incorporated orthogonal frequency division multiple access (OFDMA), significantly enhancing spectral efficiency (SE) through multiplexing gains. Still, {the} low propagation speed of UWA signals, combined w…

Das SEO in der #AI Welt: Reward Hacking

@… the hype is I guess so big because one tech has so many different applications. Sometimes it's great ("is this sentence grammatically correct?"), sometimes it's ok ("write me that code") and sometimes it's as awful as google search nowadays due to SEO spam.
For any kind of medical question, even in research mode, in…

A website developed for the UK Home Office's 2022 "flop" anti-encryption campaign has seemingly been hijacked to push a payday loan scheme.
https://www.theregister.com/2025/06/25/home_office_antiencryption_campaign_website/?m…

UK govt dept website that campaigns against encryption hijacked to advertise ... payday loans
: Company at center of findings blamed SEO on outsourcer

I'm increasingly preferring individuals’ blogs over corporate blogs for accessibility guidance, even when those corporations are meant to be accessibility-focused.
SEO chasing and consumer funneling really dilute the usefulness of articles, it turns out.

Enspurt beim #SEO Contest von #Agenturtipp. Ich würde natürlich schon gern gewinnen. Aktuell liegt meine (etwas hässliche) Seite auf Platz 1!
Wer mal einen Blick auf den #Keywordkönig wagen wi…

Der Keywordkönig: Die Souveräne Macht im Digitalen Reich – Eine Proklamation
Der Keywordkönig läutet eine neue Epoche im Online-Marketing ein. In einer Welt, die immer digitaler wird, ist die Sichtbarkeit im Internet nicht nur ein

TFW you build a site with @… and web platform standards (== semantic HTML, modern CSS, a little bit of JavaScript, and a dash of ARIA) and you look at Lighthouse for the first time …
Looks like industry best practices actually work. (Sorry for using my platform to ruin anyone’s day. 🥰) 🍋

AROMA: Mixed-Initiative AI Assistance for Non-Visual Cooking by Grounding Multi-modal Information Between Reality and Videos
Zheng Ning, Leyang Li, Daniel Killough, JooYoung Seo, Patrick Carrington, Yapeng Tian, Yuhang Zhao, Franklin Mingzhe Li, Toby Jia-Jun Li
https://arxiv.org/abs/2507.10963

AROMA: Mixed-Initiative AI Assistance for Non-Visual Cooking by Grounding Multi-modal Information Between Reality and Videos
Videos offer rich audiovisual information that can support people in performing activities of daily living (ADLs), but they remain largely inaccessible to blind or low-vision (BLV) individuals. In cooking, BLV people often rely on non-visual cues, such as touch, taste, and smell, to navigate their environment, making it difficult to follow the predominantly audiovisual instructions found in video recipes. To address this problem, we introduce AROMA, an AI system that provides timely responses t…

Aerodynamics and Aeroacoustics of da Vinci's Aerial Screw
Suryansh Prakhar, Jung-Hee Seo, Rajat Mittal
https://arxiv.org/abs/2506.10223 https://…

Aerodynamics and Aeroacoustics of da Vinci's Aerial Screw
Leonardo da Vinci's aerial screw, conceived in the 15th century, represents one of the earliest conceptualizations of lift-generating rotary flight. Despite its historical significance, the aerodynamic and aeroacoustic performance of this rotor has received limited scientific attention. In this study, we employ direct numerical simulations to analyze the aerodynamic forces and acoustic emissions of a modernized da Vinci aerial screw design across a range of Reynolds numbers (2000, 4000, and 800…

Region-of-Interest-Guided Deep Joint Source-Channel Coding for Image Transmission
Hansung Choi, Daewon Seo
https://arxiv.org/abs/2506.01269 https://…

Region-of-Interest-Guided Deep Joint Source-Channel Coding for Image Transmission
Deep joint source-channel coding (deepJSCC) and semantic communication have shown promising improvements in communication performance over wireless networks. However, current approaches primarily focus on enhancing average performance metrics, such as overall image reconstruction quality or task accuracy, which may not fully align with users' actual experience -- often driven by the quality of specific regions of interest (ROI). Motivated by this, we propose ROI-guided joint source-channel codi…

MedRegion-CT: Region-Focused Multimodal LLM for Comprehensive 3D CT Report Generation
Sunggu Kyung, Jinyoung Seo, Hyunseok Lim, Dongyeong Kim, Hyungbin Park, Jimin Sung, Jihyun Kim, Wooyoung Jo, Yoojin Nam, Namkug Kim
https://arxiv.org/abs/2506.23102

MedRegion-CT: Region-Focused Multimodal LLM for Comprehensive 3D CT Report Generation
The recent release of RadGenome-Chest CT has significantly advanced CT-based report generation. However, existing methods primarily focus on global features, making it challenging to capture region-specific details, which may cause certain abnormalities to go unnoticed. To address this, we propose MedRegion-CT, a region-focused Multi-Modal Large Language Model (MLLM) framework, featuring three key innovations. First, we introduce Region Representative ($R^2$) Token Pooling, which utilizes a 2D-…

Got banned from write.as for triggering an anti-SEO alert — apparently too many links to http://localhost (yes, really). I emailed support right away, assuming it would be resolved quickly. Two weeks later: still banned.
So I took it personally.
According to their rules, I need to delete all posts before I can delete the account… but I can’t do that because, well, I’m banned. 😅
Thanks to full approval from the CEO of TYOLabs.com (me) and the swift action of their lead sysad…

SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization
Junpyo Seo (Department of Computer Science, Seoul National University), Hanbin Koo (Department of Computer Science, Seoul National University), Jieun Yook (Department of Computer Science, Seoul National University), Byung-Ro Moon (Department of Computer Science, Seoul National University)
…

SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization
We propose a novel diffusion-based framework for automatic colorization of Anime-style facial sketches. Our method preserves the structural fidelity of the input sketch while effectively transferring stylistic attributes from a reference image. Unlike traditional approaches that rely on predefined noise schedules - which often compromise perceptual consistency -- our framework builds on continuous-time diffusion models and introduces SSIMBaD (Sigma Scaling with SSIM-Guided Balanced Diffusion). …

Triboelectric charge transfer theory driven by interfacial thermoelectric effect
Ji-Ho Mun, Eui-Cheol Shin, Jaeuk Seo, Yong-Hyun Kim
https://arxiv.org/abs/2507.02528

Triboelectric charge transfer theory driven by interfacial thermoelectric effect
Despite extensive study and the practical significance of friction-driven static electricity, a quantitative triboelectric charge transfer theory has yet to be established. Here, we elucidate the detailed dynamics of triboelectric charge transfer driven by interfacial thermoelectric bias maintaining a steady state at the interface. We demonstrate that triboelectric charge exists in a delta-like distribution at a steady state. We suggest that the transferred triboelectric charge is dictated by h…

Update on loftyassist, 58 total accounts, 9 yearly premium subscribers. I do feel like I hit a wall on sign ups and they have slowed down over the last few weeks.
Now I am fighting the temptation to work on "new" features or improve the existing ones. What I really need to do next is do another round of "marketing". Reddit with the latest features, work on SEO stuff, and work on a more "marketing" type features vs what I want to work on.

Governance and Technological Challenge in Digital Solidarity Economies: A Case Study of a Collaborative Transportation Platform in South Korea
Jeongone Seo, Tawfiq Ammari
https://arxiv.org/abs/2507.04166

Governance and Technological Challenge in Digital Solidarity Economies: A Case Study of a Collaborative Transportation Platform in South Korea
South Korea's City P illustrates how lofty goals of digital solidarity can falter when challenged by local governance realities. Drawing on Hansmann's ownership theory, collaborative governance concepts, and platform cooperativism, we conducted a qualitative case study involving policy documents, independent assessments, and 11 in-depth interviews with residents, officials, and technology developers. Findings reveal a marked disconnect between the initiative's stated emphasis on community co-ow…

Der einzig wahre #KeywordKönig kommt aus Bremen!
#seo

Der Keywordkönig: Die Souveräne Macht im Digitalen Reich – Eine Proklamation
Der Keywordkönig läutet eine neue Epoche im Online-Marketing ein. In einer Welt, die immer digitaler wird, ist die Sichtbarkeit im Internet nicht nur ein

Sharp lower bounds for the first eigenvalue of Steklov-type eigenvalue problems on a compact surface
Gunhee Cho, Keomkyo Seo
https://arxiv.org/abs/2506.21376

Sharp lower bounds for the first eigenvalue of Steklov-type eigenvalue problems on a compact surface
Let $Ω$ be a compact surface with smooth boundary and the geodesic curvature $k_g \ge {c > 0}$ along $\partial Ω$ for some constant $c \in \mathbb{R}$. We prove that, if the Gaussian curvature satisfies $K \ge -α$ for a constant $α\ge 0$, then the first eigenvalue $σ_1$ of the Steklov-type eigenvalue problem satisfies \[ σ_1 + \fracα{σ_1} \ge c. \] Moreover, equality holds if and only if $Ω$ is a Euclidean disk of radius $\frac{1}{c}$ and $α= 0$. Furthermore, we obtain a sharp lower b…

Integrated bright source of polarization-entangled photons using lithium niobate photonic chips
Changhyun Kim, Hansol Kim, Minho Choi, Junhyung Lee, Yongchan Park, Sunghyun Moon, Jinil Lee, Hyeon Hwang, Min-Kyo Seo, Yoon-Ho Kim, Yong-Su Kim, Hojoong Jung, Hyounghan Kwon
https://arxiv.org/abs/2506.23625

Integrated bright source of polarization-entangled photons using lithium niobate photonic chips
Quantum photonics has rapidly advanced as a key area for developing quantum technologies by harnessing photons' inherent quantum characteristics, particularly entanglement. Generation of entangled photon pairs, known as Bell states, is crucial for quantum communications, precision sensing, and quantum computing. While bulk quantum optical setups have provided foundational progress, integrated quantum photonic platforms now offer superior scalability, efficiency, and integrative potential. In th…

On 102-avoiding inversion sequences
JiSun Huh, Sangwook Kim, Seunghyun Seo, Heesung Shin
https://arxiv.org/abs/2506.02985 https://arx…

On 102-avoiding inversion sequences
In this article, we provide a bijection between the set of inversion sequences avoiding the pattern 102 and the set of 2-Schröder paths having neither peaks nor valleys and ending with a diagonal step. To achieve this, we introduce two intermediate objects, called UVD paths and labeled $F$-paths, and establish bijections among all four families. For each of these combinatorial objects, we define a natural statistic and enumerate the corresponding structures with respect to this statistic. In a…

Intergenerational AI Literacy in Korean Immigrant Families: Interpretive Gatekeeping Meets Convenient Critical Deferment
Jeongone Seo, Ryan Womack, Tawfiq Ammari
https://arxiv.org/abs/2506.10197

Intergenerational AI Literacy in Korean Immigrant Families: Interpretive Gatekeeping Meets Convenient Critical Deferment
As artificial intelligence (AI) becomes deeply integrated into family life, immigrant families must navigate unique intergenerational, linguistic, and cultural challenges. This study examines how Korean immigrant families in the United States negotiate the use of AI tools such as ChatGPT and smart assistants in their homes. Through 20 semi-structured interviews with parents and teens, we identify two key practices that shape their engagement: interpretive gatekeeping, where parents mediate thei…

Particle Injection Problem in Magnetic Reconnection and Turbulence
Fan Guo, Omar French, Qile Zhang, Xiaocan Li, Jeongbhin Seo
https://arxiv.org/abs/2506.19938

Particle Injection Problem in Magnetic Reconnection and Turbulence
Magnetic reconnection and turbulence in magnetically-dominated environments have been proposed as important nonthermal particle acceleration mechanisms that generate high energy particles and associated emissions. While the acceleration to high energy that produces the power-law energy distribution has drawn strong interest, recent studies actively discuss pre-acceleration, or injection, to a sufficient energy for a sustained and prolonged Fermi-like acceleration. The injection process is impor…

DGMO: Training-Free Audio Source Separation through Diffusion-Guided Mask Optimization
Geonyoung Lee, Geonhee Han, Paul Hongsuck Seo
https://arxiv.org/abs/2506.02858

DGMO: Training-Free Audio Source Separation through Diffusion-Guided Mask Optimization
Language-queried Audio Source Separation (LASS) enables open-vocabulary sound separation via natural language queries. While existing methods rely on task-specific training, we explore whether pretrained diffusion models, originally designed for audio generation, can inherently perform separation without further training. In this study, we introduce a training-free framework leveraging generative priors for zero-shot LASS. Analyzing naïve adaptations, we identify key limitations arising from m…

TUS-REC2024: A Challenge to Reconstruct 3D Freehand Ultrasound Without External Tracker
Qi Li, Shaheer U. Saeed, Yuliang Huang, Mingyuan Luo, Zhongnuo Yan, Jiongquan Chen, Xin Yang, Dong Ni, Nektarios Winter, Phuc Nguyen, Lucas Steinberger, Caelan Haney, Yuan Zhao, Mingjie Jiang, Bowen Ren, SiYeoul Lee, Seonho Kim, MinKyung Seo, MinWoo Kim, Yimeng Dou, Zhiwei Zhang, Yin Li, Tomy Varghese, Dean C. Barratt, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu

TUS-REC2024: A Challenge to Reconstruct 3D Freehand Ultrasound Without External Tracker
Trackerless freehand ultrasound reconstruction aims to reconstruct 3D volumes from sequences of 2D ultrasound images without relying on external tracking systems, offering a low-cost, portable, and widely deployable alternative for volumetric imaging. However, it presents significant challenges, including accurate inter-frame motion estimation, minimisation of drift accumulation over long sequences, and generalisability across scanning protocols. The TUS-REC2024 Challenge was established to ben…

Stop Misusing t-SNE and UMAP for Visual Analytics
Hyeon Jeon, Jeongin Park, Sungbok Shin, Jinwook Seo
https://arxiv.org/abs/2506.08725 https://

Stop Misusing t-SNE and UMAP for Visual Analytics
Misuses of t-SNE and UMAP in visual analytics have become increasingly common. For example, although t-SNE and UMAP projections often do not faithfully reflect true distances between clusters, practitioners frequently use them to investigate inter-cluster relationships. In this paper, we bring this issue to the surface and comprehensively investigate why such misuse occurs and how to prevent it. We conduct a literature review of 114 papers to verify the prevalence of the misuse and analyze the …

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity
Jun-Pyo Hong, Hyowoon Seo, Kisong Lee
https://arxiv.org/abs/2506.06090

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity
The conventional FL methods face critical challenges in realistic wireless edge networks, where training data is both limited and heterogeneous, often leading to unstable training and poor generalization. To address these challenges in a principled manner, we propose a novel wireless FL framework grounded in Bayesian inference. By virtue of the Bayesian approach, our framework captures model uncertainty by maintaining distributions over local weights and performs distribution-level aggregation …

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Comparative Evaluation of Acoustic Feature Extraction Tools for Clinical Speech Analysis
Anna Seo Gyeong Choi, Alexander Richardson, Ryan Partlan, Sunny Tang, Sunghye Cho
https://arxiv.org/abs/2506.01129

Comparative Evaluation of Acoustic Feature Extraction Tools for Clinical Speech Analysis
This study compares three acoustic feature extraction toolkits (OpenSMILE, Praat, and Librosa) applied to clinical speech data from individuals with schizophrenia spectrum disorders (SSD) and healthy controls (HC). By standardizing extraction parameters across the toolkits, we analyzed speech samples from 77 SSD and 87 HC participants and found significant toolkit-dependent variations. While F0 percentiles showed high cross-toolkit correlation (r=0.962 to 0.999), measures like F0 standard devia…

Neural Face Skinning for Mesh-agnostic Facial Expression Cloning
Sihun Cha, Serin Yoon, Kwanggyoon Seo, Junyong Noh
https://arxiv.org/abs/2505.22416 https:…

Neural Face Skinning for Mesh-agnostic Facial Expression Cloning
Accurately retargeting facial expressions to a face mesh while enabling manipulation is a key challenge in facial animation retargeting. Recent deep-learning methods address this by encoding facial expressions into a global latent code, but they often fail to capture fine-grained details in local regions. While some methods improve local accuracy by transferring deformations locally, this often complicates overall control of the facial expression. To address this, we propose a method that combi…