Tootfinder

From Pixels to Damage Severity: Estimating Earthquake Impacts Using Semantic Segmentation of Social Media Images
Danrong Zhang, Huili Huang, N. Simrill Smith, Nimisha Roy, J. David Frost
https://arxiv.org/abs/2507.02781

From Pixels to Damage Severity: Estimating Earthquake Impacts Using Semantic Segmentation of Social Media Images
In the aftermath of earthquakes, social media images have become a crucial resource for disaster reconnaissance, providing immediate insights into the extent of damage. Traditional approaches to damage severity assessment in post-earthquake social media images often rely on classification methods, which are inherently subjective and incapable of accounting for the varying extents of damage within an image. Addressing these limitations, this study proposes a novel approach by framing damage seve…

New Rotation Periods from the Kepler Bonus Background Light Curves
Zachary R. Claytor, Jamie Tayar
https://arxiv.org/abs/2506.03248 https://

New Rotation Periods from the Kepler Bonus Background Light Curves
The Kepler field hosts the best studied sample of field star rotation periods. However, due to Kepler's large 4" pixels, many of its light curves are at high risk of contamination from background sources. The new Kepler Bonus Background light curves are de-blended using a PSF algorithm, providing light curves of over 400,000 new background sources in addition to over 200,000 re-analyzed Kepler prime targets. These light curves provide the opportunity to search for new rotation periods. Here we …

This https://arxiv.org/abs/2501.08718 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Pixelization effects in cosmic shear angular power spectra
We conduct a comprehensive study into the impact of pixelization on cosmic shear, uncovering several sources of bias in standard pseudo-$C_\ell$ estimators based on discrete catalogues. We derive models that can bring residual biases to the percent level on small scales. We elucidate the impact of aliasing and the varying shape of HEALPix pixels on power spectra and show how the HEALPix pixel window function approximation is made in the discrete spin-2 setting. We propose several improvements t…

From Pixels to Camera: Scaling Superconducting Nanowire Single-Photon Detectors for Imaging at the Quantum-Limit
Jun Gao, Jin Chang, Bruno Lopez Rodriguez, Iman Esmaeil Zadeh, Val Zwiller, Ali W. Elshaari
https://arxiv.org/abs/2505.24725

From Pixels to Camera: Scaling Superconducting Nanowire Single-Photon Detectors for Imaging at the Quantum-Limit
Superconducting nanowire single-photon detectors (SNSPDs) have emerged as essential devices that push the boundaries of photon detection with unprecedented sensitivity, ultrahigh timing precision, and broad spectral response. Recent advancements in materials engineering, superconducting electronics integration, and cryogenic system design are enabling the evolution of SNSPDs from single-pixel detectors toward scalable arrays and large-format single-photon time tagging cameras. This perspective …

https://gallery.davidwhittemore.com/1987/10/23/tina_turner_1.html
https://

The ultimate display: Where will all the pixels come from?
Benjamin Watson, David Luebke
https://arxiv.org/abs/2506.23001 https://arx…

The ultimate display: Where will all the pixels come from?
Could the answer be to compute fewer pixels? Renderers that break traditional framed patterns and opt for temporally adaptive sampling might be the key to printer-resolution wall displays that update hundreds of times per second.

Alt 1/2 (excluding code blocks):
Copilot Al:
copyBegin and copyEnd are not clamped to numPixels, which could lead to copying beyond buffer if the number of destination pixels is smaller than the cache length. Consider clamping copyBegin and copyEnd to [O, numPixels].
haileys: This Al slop is wrong, copying beyond the end of the buffer is exactly what this PR fixes.

ENFIN !!
Une nouvelle étiquette obligatoire pour connaître la durabilité d’un smartphone
https://www.lemonde.fr/pixels/article/2025/06/20/une-nouvelle-etiquette-obligatoire-p…

Une nouvelle étiquette obligatoire pour connaître la durabilité d’un smartphone
Cet affichage, fruit d’un règlement européen, doit aider les consommateurs à conserver leur mobile plus longtemps. Sont indiquées notamment la résistance aux chutes ou aux noyades, la robustesse de la batterie ou encore la réparabilité de l’appareil.

Self-Supervised Spatial Correspondence Across Modalities
Ayush Shrivastava, Andrew Owens
https://arxiv.org/abs/2506.03148 https://arx…

Self-Supervised Spatial Correspondence Across Modalities
We present a method for finding cross-modal space-time correspondences. Given two images from different visual modalities, such as an RGB image and a depth map, our model identifies which pairs of pixels correspond to the same physical points in the scene. To solve this problem, we extend the contrastive random walk framework to simultaneously learn cycle-consistent feature representations for both cross-modal and intra-modal matching. The resulting model is simple and has no explicit photo-con…

A Technique for the Detection of PDF Tampering or Forgery
Gabriel Grobler, Sheunesu Makura, Hein Venter
https://arxiv.org/abs/2507.00827 https://

A Technique for the Detection of PDF Tampering or Forgery
Tampering or forgery of digital documents has become widespread, most commonly through altering images without any malicious intent such as enhancing the overall appearance of the image. However, there are occasions when tampering of digital documents can have negative consequences, such as financial fraud and reputational damage. Tampering can occur through altering a digital document's text or editing an image's pixels. Many techniques have been developed to detect whether changes have been m…

Hot Rocks Survey III: A deep eclipse for LHS 1140c and a new Gaussian process method to account for correlated noise in individual pixels
Mark Fortune, Neale P. Gibson, Hannah Diamond-Lowe, Jo\~ao M. Mendon\c{c}a, Am\'elie Gressier, Daniel Kitzmann, Natalie H. Allen, Prune C. August, Jegug Ih, Erik Meier Vald\'es, Merlin Zgraggen, Lars A. Buchhave, Brice-Olivier Demory, N\'estor Espinoza, Kevin Heng, Kathryn Jones, Alexander D. Rathcke

Hot Rocks Survey III: A deep eclipse for LHS 1140c and a new Gaussian process method to account for correlated noise in individual pixels
Time-series photometry at mid-infrared wavelengths is becoming a common technique to search for atmospheres around rocky exoplanets. This method constrains the brightness temperature of the planet to determine whether heat redistribution is taking place - indicative of an atmosphere - or whether the heat is reradiated from a low albedo bare rock. By observing at 15$μ$m we are also highly sensitive to CO$_2$ absorption. We observed three eclipses of the rocky super-Earth LHS 1140c using MIRI/Im…

Ambiguities, Built-in Biases and Flaws in Big Data Insight Extraction
Serge Galam
https://arxiv.org/abs/2506.21262 https://arxiv.org/…

Ambiguities, Built-in Biases and Flaws in Big Data Insight Extraction
I address the challenge of extracting reliable insights from large datasets using a simplified model that illustrates how hierarchical classification can distort outcomes. The model consists of discrete pixels labeled red, blue, or white. Red and blue indicate distinct properties, and white represents unclassified or ambiguous data. A macro-color is assigned only if one color holds a strict majority among the pixels. Otherwise, the aggregate is labeled white, reflecting uncertainty. This setup …

Tactile Beyond Pixels: Multisensory Touch Representations for Robot Manipulation
Carolina Higuera, Akash Sharma, Taosha Fan, Chaithanya Krishna Bodduluri, Byron Boots, Michael Kaess, Mike Lambeta, Tingfan Wu, Zixi Liu, Francois Robert Hogan, Mustafa Mukadam
https://arxiv.org/abs/2506.14754…

Tactile Beyond Pixels: Multisensory Touch Representations for Robot Manipulation
We present Sparsh-X, the first multisensory touch representations across four tactile modalities: image, audio, motion, and pressure. Trained on ~1M contact-rich interactions collected with the Digit 360 sensor, Sparsh-X captures complementary touch signals at diverse temporal and spatial scales. By leveraging self-supervised learning, Sparsh-X fuses these modalities into a unified representation that captures physical properties useful for robot manipulation tasks. We study how to effectively …

My neighbor's yard.

teaching a transformer net to approximate ray-tracing
input is a sequence of triangle data (limited to 4k triangles), and a sequence of 8x8 radiance pixels representing the camera (limited to 512x512 resolution)
output is a sequence of 8x8 pixels of the rendered scene. training was ~10 days. generation is ~100ms (NVIDIA A100)
the results are pretty good. scaling will be a challenge (since transformers are quadratic in sequence length)

Simulation of irradiated hybrid planar pixels modules at fluences expected at HL-LHC
Marco Bomben
https://arxiv.org/abs/2506.10823 https://

Simulation of irradiated hybrid planar pixels modules at fluences expected at HL-LHC
Signal loss is the main limitation on tracking/vertexing performance due to radiation damage effect to hybrid pixel detectors when irradiated at fluences expected at High Luminosity LHC (HL-LHC). It is important to have reliable predictions on the charge collection performance after irradiation in order to predict operational voltage values and test tracking algorithms robustness. In this paper the validation of combined TCAD and Monte Carlo simulations of hybrid silicon planar pixels sensors w…

Podcast recommendation: Danielle Newnham talks one hour with the Pixar Co-Founder Alvy Ray Smith about his career in computer graphics. And besides some Pixar history, the discussion is even more though the history of computer graphics and coloured pixels. Enjoy: https://danielle-…

TC-GS: A Faster Gaussian Splatting Module Utilizing Tensor Cores
Zimu Liao, Jifeng Ding, Rong Fu, Siwei Cui, Ruixuan Gong, Li Wang, Boni Hu, Yi Wang, Hengjie Li, XIngcheng Zhang, Hui Wang
https://arxiv.org/abs/2505.24796

TC-GS: A Faster Gaussian Splatting Module Utilizing Tensor Cores
3D Gaussian Splatting (3DGS) renders pixels by rasterizing Gaussian primitives, where conditional alpha-blending dominates the time cost in the rendering pipeline. This paper proposes TC-GS, an algorithm-independent universal module that expands Tensor Core (TCU) applicability for 3DGS, leading to substantial speedups and seamless integration into existing 3DGS optimization frameworks. The key innovation lies in mapping alpha computation to matrix multiplication, fully utilizing otherwise idle …

There are two main reasons I'm not using GrapheneOS. The first is that I've had two Pixels die on me from hardware flaws, and so I think their hardware is complete trash. The second is that every time I see them talking, they're trashing some other free software project or (openish) hardware. Only _their_ platform is secure. I'm getting strong Theo De Raadt vibes from them, which is not the kind of thing I'd want to deal with.

Innovative DC-coupled Resistive Silicon Detector for 4D tracking
R. Arcidiacono, G. Bardelli, M. Bartolini, M. Boscardin, N. Cartiglia, A. Cassese, M. Centis Vignali, T. Croci, M. Ferrero, A. Fondacci, O. Hammad Ali, M. Lizzo, L. Menzio, A. Morozzi, F. Moscatelli, D. Passeri, G. Paternoster, G. Sguazzoni, F. Siviero, V. Sola, L. Viliani
https://

Innovative DC-coupled Resistive Silicon Detector for 4D tracking
In the past 10 years, two design innovations, the introduction of low internal gain (LGAD) and of resistive read-out (RSD), have radically changed the performance of silicon detectors. The LGAD mechanism, increasing the signal-to-noise ratio by about a factor of 20, leads to improved time resolution (typically 30 ps for a 50-$μ$m thick sensor), while resistive read-out, sharing the collected charge among read-out electrodes, leads to excellent spatial resolution even using large pixels (about …

Observando cores e formas dessa folha. Dando zoom parece pixels.
#fotografia #natureza

Marina Hyde is a brilliant columnist:
Imagine owning the world’s premier shitposting platform – in fact, having spent $44bn on it, specifically so that your magic mirror would tell you each day that you were the fairest shitposter of all – and then shuffling sheepishly on to your own pixels to mumble something about having gone “too far” with your hurty words.

Pixel-wise Modulated Dice Loss for Medical Image Segmentation
Seyed Mohsen Hosseini
https://arxiv.org/abs/2506.15744 https://arxiv.or…

Pixel-wise Modulated Dice Loss for Medical Image Segmentation
Class imbalance and the difficulty imbalance are the two types of data imbalance that affect the performance of neural networks in medical segmentation tasks. In class imbalance the loss is dominated by the majority classes and in difficulty imbalance the loss is dominated by easy to classify pixels. This leads to an ineffective training. Dice loss, which is based on a geometrical metric, is very effective in addressing the class imbalance compared to the cross entropy (CE) loss, which is adopt…

I know AI and neural processors fill/fix pixels when taking pictures with digital zoom, but it boggles my mind how many people do not appreciate the merits of closeup pictures (as in being up close or using optical zoom).
Or maybe I'm the one who is wrong. 🤔
Here's a closeup worth every bit:
#photography

Yes, the only video game I play is #Warframe!
MR 26 – Wisp Is Love, Wisp Is Live
Ballas is dead, Margulis’s mercy, Lotus’s final kiss.
But Kaya Velasco? She is eternal.
Ballas gone, but she outlives sentient beings.
BALLAS DEAD, NOT KAYA! 😘 💋
I don’t care if she’s code and pixels, my heart’s got no patch notes!
They can’t stop me from loving a digital …

Ben PinePhone'u bekliyordum ama geleceği yok. Yurtdışından getirince de vergisi kendisinin değerinin neredeyse 3 katı.
https://pine64.com/product/pinephone-pro-explorer-edition/

Wonderful Embrace, extend, and extinguish from Google 🙄
https://grapheneos.social/@GrapheneOS/114661957699559672

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new/
[3/5]:
From Pixels to Predicates: Learning Symbolic World Models via Pretrained Vision-Language Models

Calibrating the photometric performance of a high-time-resolution photon-counting imager for optical astronomy
Mana Hasebe, Takeshi Nakamori, Kazuaki Hashiyama, Anju Sato, Miu Maeshiro, Rin Sato, Masayoshi Shoji, Masaru Kino, Dai Takei, Tomohiro Sato, Kazuki Ueno
https://arxiv.org/abs/2506.16025

Calibrating the photometric performance of a high-time-resolution photon-counting imager for optical astronomy
Optical observations with high time resolution are essential for understanding the origin of sub-millisecond timescale astronomical phenomena, including giant radio pulses from the Crab Pulsar. We have developed a high-speed imaging system called the Imager of MPPC-based Optical photoN counter from Yamagata (IMONY). The system uses a customized Multi-Pixel Photon Counter (MPPC), which independently reads out signals from all $8\times8$ pixels and functions as an imager based on a Geiger-mode av…

Fuck marketing. And the post is conveniently silent about the problem of a hundred tracking pixels on most commercial sites, but this is quite good:
https://www.jonoalderson.com/conjecture/javascript-broke-the-web-and-called-it-progress/

Enhancing Neural Autoregressive Distribution Estimators for Image Reconstruction
Ambrose Emmett-Iwaniw, Nathan Kirk
https://arxiv.org/abs/2506.05391 https:…

Enhancing Neural Autoregressive Distribution Estimators for Image Reconstruction
Autoregressive models are often employed to learn distributions of image data by decomposing the $D$-dimensional density function into a product of one-dimensional conditional distributions. Each conditional depends on preceding variables (pixels, in the case of image data), making the order in which variables are processed fundamental to the model performance. In this paper, we study the problem of observing a small subset of image pixels (referred to as a pixel patch) to predict the unobserve…

This https://arxiv.org/abs/2501.00296 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

From Pixels to Predicates: Learning Symbolic World Models via Pretrained Vision-Language Models
Our aim is to learn to solve long-horizon decision-making problems in complex robotics domains given low-level skills and a handful of short-horizon demonstrations containing sequences of images. To this end, we focus on learning abstract symbolic world models that facilitate zero-shot generalization to novel goals via planning. A critical component of such models is the set of symbolic predicates that define properties of and relationships between objects. In this work, we leverage pretrained …

Tunable Coloration in Core-Shell Plasmonic Nanopixels Based on Organic Conductive Polymers: A First-Principles and FDTD Study
Md. Shariful Islam, Ahmed Zubair
https://arxiv.org/abs/2506.07544

Tunable Coloration in Core-Shell Plasmonic Nanopixels Based on Organic Conductive Polymers: A First-Principles and FDTD Study
From raindrops to planets, the scattering of electromagnetic fields introduces exciting phenomena that can be utilized for display devices. Here, we designed an electrochromic nanoparticle on mirror (eNPoM) structure with core-shell geometries for low-power nanoscale pixels with rapid coloration abilities based on four electrochromic organic conducting polymers utilizing the first-principles calculations based on density functional theory (DFT) and the finite-difference time-domain (FDTD) simul…

LLM scope violation: KI öffnet neue Angriffsflächen
https://www.lemonde.fr/pixels/article/2025/06/12/une-faille-informatique-detectee-dans-l-ia-microsoft-365-copilot_6612529_4408996.html

Fine-Grained Spatially Varying Material Selection in Images
Julia Guerrero-Viu, Michael Fischer, Iliyan Georgiev, Elena Garces, Diego Gutierrez, Belen Masia, Valentin Deschaintre
https://arxiv.org/abs/2506.09023

Fine-Grained Spatially Varying Material Selection in Images
Selection is the first step in many image editing processes, enabling faster and simpler modifications of all pixels sharing a common modality. In this work, we present a method for material selection in images, robust to lighting and reflectance variations, which can be used for downstream editing tasks. We rely on vision transformer (ViT) models and leverage their features for selection, proposing a multi-resolution processing strategy that yields finer and more stable selection results than …