Tootfinder

from my link log —
The Peach meme: On CRTs, pixels and signal quality (again).
https://www.datagubbe.se/crt2/
saved 2025-10-13 https://dotat.at/:/F56SB.h…

Apple updates the Vision Pro with an M5 chip, rendering 10% more pixels, and a Dual Knit Band for a more comfortable fit, available on October 22 for $3,499 (Apple)
https://www.apple.com/newsroom/2025/10/apple-vision-pro-upgraded-with-th…

Apple Vision Pro upgraded with the powerful M5 chip and comfortable Dual Knit Band
Apple introduced the upgraded Apple Vision Pro, featuring the powerful M5 chip, the Dual Knit Band, and innovative features with visionOS 26.

i have this webpage where all the images are position:absolute and on one computer they're like 32 pixels over to the left. how do i make postion:absolute more absolute

Recovering screen pixels of another app in Android using a timimg side-channel attack. Crazy! https://social.lansky.name/@hn100/115377419606967864

Diffusion Transformers with Representation Autoencoders
Boyang Zheng, Nanye Ma, Shengbang Tong, Saining Xie
https://arxiv.org/abs/2510.11690 https://arxiv.…

Diffusion Transformers with Representation Autoencoders
Latent generative modeling, where a pretrained autoencoder maps pixels into a latent space for the diffusion process, has become the standard strategy for Diffusion Transformers (DiT); however, the autoencoder component has barely evolved. Most DiTs continue to rely on the original VAE encoder, which introduces several limitations: outdated backbones that compromise architectural simplicity, low-dimensional latent spaces that restrict information capacity, and weak representations that result f…

ReLook: Vision-Grounded RL with a Multimodal LLM Critic for Agentic Web Coding
Yuhang Li, Chenchen Zhang, Ruilin Lv, Ao Liu, Ken Deng, Yuanxing Zhang, Jiaheng Liu, Wiggin Zhou, Bo Zhou
https://arxiv.org/abs/2510.11498

ReLook: Vision-Grounded RL with a Multimodal LLM Critic for Agentic Web Coding
While Large Language Models (LLMs) excel at algorithmic code generation, they struggle with front-end development, where correctness is judged on rendered pixels and interaction. We present ReLook, an agentic, vision-grounded reinforcement learning framework that empowers an agent to close a robust generate--diagnose--refine loop by invoking a multimodal LLM (MLLM) as a tool. During training, the agent uses the MLLM-in-the-loop both as a visual critic--scoring code with screenshots--and as a so…

This is very exciting news 👀
@… https://social.lansky.name/@hn100/115375453553361259

CDE: Concept-Driven Exploration for Reinforcement Learning
Le Mao, Andrew H. Liu, Renos Zabounidis, Zachary Kingston, Joseph Campbell
https://arxiv.org/abs/2510.08851 https://…

CDE: Concept-Driven Exploration for Reinforcement Learning
Intelligent exploration remains a critical challenge in reinforcement learning (RL), especially in visual control tasks. Unlike low-dimensional state-based RL, visual RL must extract task-relevant structure from raw pixels, making exploration inefficient. We propose Concept-Driven Exploration (CDE), which leverages a pre-trained vision-language model (VLM) to generate object-centric visual concepts from textual task descriptions as weak, potentially noisy supervisory signals. Rather than direct…

Such an efficient use of pixels and with good contrast to be highly readable. Hopefully one day we’ll move back to easily-readable, space-efficient UIs https://mastodon.social/@marioguzman/115691167899141374

Such an efficient use of pixels and with good contrast to be highly readable. Hopefully one day we’ll move back to easily-readable, space-efficient UIs https://mastodon.social/@marioguzman/115691167899141374

#Cellebrite can apparently extract data from most #Pixel phones, unless they’re running #GrapheneOS.

Eigentlich habe ich ja schon einige USB C Ladegeräte. Aber bei einem Rabatt von 43% habe ich bei diesem Primeday von Amazon doch noch mal zugeschlagen. Zumal dies mein Lieblingslafegerät für Reisen ist. So schön leicht!
https://amzn.to/4pVKq8J

If I don't force-close my morse code drill app, sometimes it just starts playing even if I'm nowhere near my phone. Often sitting a good distance away charging in the middle of the night. The author of the app has looked for and failed to find any logical cause for this problem.
It's a google Pixel, and maybe I'm seeing a variation on something others have been seeing:

Fascinating.
I just ran the math; and Apple's displays/devices have almost *precisely* the same "pixels-per-degree-of-visual-arc" (a much more important measurement than raw PPI.)
- Pro Display XDR (at 70cm) is ~53° of visual arc; that gives it ~112 px/deg
- M1 Macbook Pro at 61cm is ~31° of visual arc; ~110 px/deg
- iPhone 17 Pro at 35.5cm is ~23° of visual arc; ~113 px/deg
This smacks of intention.

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[5/5]:
- Object-centric proto-symbolic behavioural reasoning from pixels
Ruben van Bergen, Justus H\"ubotter, Alma Lago, Pablo Lanillos

Google Pixel 10 Pro Fold review: nice display and most AI features run on device, but cameras are a step down from other Pro Pixels, Tensor G5 shows small gains (Ryan Whitwam/Ars Technica)
https://arstechnica.com/gadgets/2025/10/google-pixel…

Google Pixel 10 Pro Fold review: The ultimate Google phone
Google delivers another phone that is slightly better than its predecessor—is that enough?

(test pwease ignowe)

Sigh, really is time to buy a new clock-radio; it's been getting worse for ages (I first posted a picture some years back) but now sometimes by the morning I can't tell what time it is. I wouldn't be surprised if it's a cap somewhere, but I replaced a few a while ago and it hasn't helped.

Ausprobiert: Zwei Ladestationen für AirPods Max
Standardmäßig laden Apples teure Over-Ears unbequem per Kabel. Zwei Anbieter haben Alternativen am Start: Zagg und Floating Pixels. Wir haben sie ausprobiert.
https://www.

Cleaning Galactic foregrounds with spatially varying spectral dependence from CMB observations with \texttt{fgbuster}
Arianna Rizzieri, Cl\'ement Leloup, Josquin Errard, Davide Poletti
https://arxiv.org/abs/2510.08534

Cleaning Galactic foregrounds with spatially varying spectral dependence from CMB observations with \texttt{fgbuster}
In the context of maximum-likelihood parametric component separation for next-generation full-sky CMB polarization experiments, we study the impact of fitting different spectral parameters of Galactic foregrounds in distinct subsets of pixels on the sky, with the goal of optimizing the search for primordial B modes. Using both simulations and analytical arguments, we highlight how the post-component separation uncertainty and systematic foreground residuals in the cleaned CMB power spectrum dep…

@… They Bleed Pixels is a pretty sweet game! Thanks for making it.

One of my favorite emojis is the "hugs" emoji 🫂. Or an "okay_blob" custom reacji that my favorite Slack uses. I use it all the time to indicate "I hear you and I know what you're saying is emotional. I support you".
Another very progressive Slack I'm on has a "hugs OK?" emoji you are supposed to use first. Only if the other person responds with the "hugs OK!" emoji are you then allowed to respond with an actual "hug" emoji.
I think I'm a pro-explicit-consent person. But it strikes me that this careful three-way handshake, all for 16x16 pixels in a virtual environment, may be a little much.

Incroyable.
Le retournement de veste de Youtube / Google sur ces questions en faisant porter le chapeau Š l'administration précédente, c'est... Glaçant.
https://www.lemonde.fr/pixels/article/2025

YouTube va réintégrer des utilisateurs bannis pour désinformation
La plateforme s’y était engagée auprès de l’administration Trump, mardi. Sont concernées les personnes ayant diffusé des informations erronées sur les élections américaines et le Covid-19.

Humain cherche:
application de chat fiable et sécurisée, possiblement multi-protocole (j'utilise déjŠ #signal #tchap )
les outils pour convaincre ses proches de quiter #whatsapp

WhatsApp et Meta accusés de graves failles de sécurité par un ancien cadre de l’entreprise
Un ex-responsable sécurité de WhatsApp accuse le groupe d’avoir laissé à des ingénieurs un accès sans contrôle à certaines des données des utilisateurs. Après en avoir alerté sa hiérarchie, il aurait été la cible de représailles jusqu’à son licenciement.

An approximate history of my amateur phone photography:
1. Really poor photos. Unsavory interest in (low resolution) panoramas.
2. Photos get a little better. Sometimes they're HDRs (I suspect the camera app was set to "auto").
3. A new phone. Higher resolution and a gyroscope.
4. Switching to LineageOS, and therefore to #OpenCamera. HDR enabled unconditionally.
5. HDR does not always come great (compared to the stock Motorola app that doesn't work anymore). I enable saving component photos, so I could try getting a better quality combination using the PC. I never manage that.
6. I start experimenting with exposure correction (combined with HDR). Sometimes I do multiple photos with different "Eves" to choose the best one.
7. A new phone. Finally, given even the gyroscope was failing already.
8. I learn that Pixels have "HDR " that gets activated when you do standard mode photos. For a while I do both standard and HDR photos; also I compare the middle component image with the standard mode image. [https://opencamera.sourceforge.io/help.html#faq]
9. Before I reach any final conclusions, I read "What is HDR, anyway?" I disable HDR entirely, instead I save standard mode (i.e. HDR ) raw images (which presumably aren't affected by HDR ) [https://www.lux.camera/what-is-hdr/]. Not that I ever managed to get anything good out of raws.
10. I discover that I can switch the lens. Today I've made my first photos, switching lens to get optical zoom 💪.

From Pixels to Urban Policy-Intelligence: Recovering Legacy Effects of Redlining with a Multimodal LLM
Anthony Howell, Nancy Wu, Sharmistha Bagchi, Yushim Kim, Chayn Sun
https://arxiv.org/abs/2509.15132

From Pixels to Urban Policy-Intelligence: Recovering Legacy Effects of Redlining with a Multimodal LLM
This paper shows how a multimodal large language model (MLLM) can expand urban measurement capacity and support tracking of place-based policy interventions. Using a structured, reason-then-estimate pipeline on street-view imagery, GPT-4o infers neighborhood poverty and tree canopy, which we embed in a quasi-experimental design evaluating the legacy of 1930s redlining. GPT-4o recovers the expected adverse socio-environmental legacy effects of redlining, with estimates statistically indistinguis…

Pixels to Prices: Visual Traits, Market Cycles, and the Economics of NFT Valuation
Samiha Tariq
https://arxiv.org/abs/2509.24879 https://arxiv.org/pdf/2509…

Pixels to Prices: Visual Traits, Market Cycles, and the Economics of NFT Valuation
This paper studies how visual traits and market cycles shape prices in NFT markets. Using 94,039 transactions from 26 major generative Ethereum collections, the analysis extracts 196 machine-quantified image features (covering color, composition, palette structure, geometry, texture, and deep learning embeddings), then applies a three-stage filter process to identify stable predictors for hedonic regression. A static mixed-effects model shows that market sentiment and transparent, interpretable…

I have a trick I call "The 1920 Method".
I resize most images to 1920 pixels wide before I post them to Mastodon or to my own web site. This has allowed me to keep things small, and fast, and not have to increase server space or feel like I'm putting a burden on other systems.
You'd be surprised how many images we share online work just fine at lower resolution.

Gaze on the Prize: Shaping Visual Attention with Return-Guided Contrastive Learning
Andrew Lee, Ian Chuang, Dechen Gao, Kai Fukazawa, Iman Soltani
https://arxiv.org/abs/2510.08442

Gaze on the Prize: Shaping Visual Attention with Return-Guided Contrastive Learning
Visual Reinforcement Learning (RL) agents must learn to act based on high-dimensional image data where only a small fraction of the pixels is task-relevant. This forces agents to waste exploration and computational resources on irrelevant features, leading to sample-inefficient and unstable learning. To address this, inspired by human visual foveation, we introduce Gaze on the Prize. This framework augments visual RL with a learnable foveal attention mechanism (Gaze), guided by a self-supervise…

Neurons and Pixels https://www.neurotechreports.com/pages/publishersletterJul24.html by James Cavuoto on Neuralink Blindsight and the graveyard of commercial failures: Optobionics, Retina Implant, Second Sight, Pixium Vision and others.

AI is a 0.01 quality JPEG.
It ingests a staggering amount of data to produce a relatively tiny file that you can decompress with a lot of guesswork on the computer's side.
The result is, usually, mostly ok on a larger scale but when you try to look at individual pixels, they're the correct color only by pure luck.

Initialization-robust characterization of deep sub-electron read noise pixels via annealed PCH-EM
Aaron J. Hendrickson, David P. Haefner
https://arxiv.org/abs/2509.13460 https:/…

Initialization-robust characterization of deep sub-electron read noise pixels via annealed PCH-EM
We present an annealed Photon Counting Histogram Expectation Maximization (PCH-EM) algorithm for maximum likelihood characterization of Deep Sub-Electron Read Noise (DSERN) pixels. The annealed variant mitigates initialization-dependent convergence to suboptimal local optima of the likelihood function while achieving uncertainties substantially lower than the Photon Transfer (PT) method in the DSERN regime. Although the annealing principle is optimizer-agnostic, we pair it with PCH-EM for tract…

So one of the authors of the Le Monde story about the secretive US unit called Group 78 contacted me to tell me I had misinterpreted the story published by his outlet and Die Zeit.
I explain everything in this thread on BlueSky (it's hard to thread things here).
Take a look:
https://bsky.app/pro…

Cynthia Brumfield (@metacurity.com)
OK, I misinterpreted the LeMonde/DieZeit story on the secret US cybercrime fighting unit called Group 78. Martin Untersinger, https://bsky.app/profile/untersin.gr, one of the Le Monde story authors, got in touch with me to explain. Here goes 1/8 https://www.lemonde.fr/pixels/article/2025/10/16/revelations-sur-le-group-78-une-unite-secrete-americaine-chargee-de-la-lutte-contre-les-cybercriminels_6647096_4408996.html https://www.zeit.de/digital/2025-10/ransomware-blackbasta-fbi-bka/komplettans…

Sometimes I catch myself slipping into digital nihilism, staring at the internet as if it were some twisted feast of flickering shadows that I don’t need to feed on just to keep moving.
You wouldn’t try to live by swallowing a screen or digest pixels, so why treat this endless stream of noise as anything close to essential?
The so-called connections are just distractions, echoes bouncing off empty walls, and the identities online slip through like smoke dissolving before you even…

Updates to the WFC3/UVIS Saturation Map
Mitchell Revalski, Isabel Rivera, Varun Bajaj, Frederick Dauphin
https://arxiv.org/abs/2510.00097 https://arxiv.org…

Updates to the WFC3/UVIS Saturation Map
The calwf3 software for WFC3/UVIS utilizes a reference file to flag pixels that are saturated beyond their full-well depth. Previously, this was accomplished using a constant threshold of 65,500 e$^{-}$ across the entire detector. In this study, we retrieved $\sim$1 million stars from the Mikulski Archive for Space Telescopes (MAST) to determine the flux level at which the Point Spread Function begins to flatten, which occurs as the central pixel saturates. We quantified the saturation limit as…

Reconfigurable structural color generation in multicolor pixels using phase-change materials
Md Tanvir Emrose, Katherine Winchester, Yin Huang, Georgios Veronis
https://arxiv.org/abs/2509.10763

Reconfigurable structural color generation in multicolor pixels using phase-change materials
We introduce multilayer structures based on phase-change materials for reconfigurable structural color generation. These structures can produce multiple distinct colors within a single pixel. Specifically, we design structures that generate either two or four maximally distinct structural colors. We employ a memetic optimization algorithm coupled with the impedance method to identify the optimal combination of materials and layer thicknesses that maximizes the distinctiveness of the generated c…

The Terzina payload on board the NUSES space mission
Teresa Montaruli (for the NUSES Collaboration)
https://arxiv.org/abs/2509.23451 https://arxiv.org/pdf/…

The Terzina payload on board the NUSES space mission
The Terzina payload, onboard the NUSES space mission is being built in collaboration with TAS-I by GSSI, INFN and the University of Geneva. It is a Cherenkov Schmidt-Cassegrain compact telescope with an effective focal length of 925~mm and a camera focal assembly composed of 640 pixels (16 vertically and 40 horizontally) organized in $8\times 8$ tiles produced by FBK with sensitive area $2.73 \times 2.64$~mm$^2$. We will illustrate the performance for the signal of cosmic rays beyond a threshol…

Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformers
Gangwei Xu, Haotong Lin, Hongcheng Luo, Xianqi Wang, Jingfeng Yao, Lianghui Zhu, Yuechuan Pu, Cheng Chi, Haiyang Sun, Bing Wang, Guang Chen, Hangjun Ye, Sida Peng, Xin Yang
https://arxiv.org/abs/2510.07316

Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformers
This paper presents Pixel-Perfect Depth, a monocular depth estimation model based on pixel-space diffusion generation that produces high-quality, flying-pixel-free point clouds from estimated depth maps. Current generative depth estimation models fine-tune Stable Diffusion and achieve impressive performance. However, they require a VAE to compress depth maps into latent space, which inevitably introduces \textit{flying pixels} at edges and details. Our model addresses this challenge by directly…

From Pixels to Shelf: End-to-End Algorithmic Control of a Mobile Manipulator for Supermarket Stocking and Fronting
Davide Peron, Victor Nan Fernandez-Ayala, Lukas Segelmark
https://arxiv.org/abs/2509.11740

From Pixels to Shelf: End-to-End Algorithmic Control of a Mobile Manipulator for Supermarket Stocking and Fronting
Autonomous stocking in retail environments, particularly supermarkets, presents challenges due to dynamic human interactions, constrained spaces, and diverse product geometries. This paper introduces an efficient end-to-end robotic system for autonomous shelf stocking and fronting, integrating commercially available hardware with a scalable algorithmic architecture. A major contribution of this work is the system integration of off-the-shelf hardware and ROS2-based perception, planning, and con…

An on-chip Pixel Processing Approach with 2.4{\mu}s latency for Asynchronous Read-out of SPAD-based dToF Flash LiDARs
Yiyang Liu, Rongxuan Zhang, Istvan Gyongy, Alistair Gorman, Sarrah M. Patanwala, Filip Taneski, Robert K. Henderson
https://arxiv.org/abs/2509.19192

An on-chip Pixel Processing Approach with 2.4μs latency for Asynchronous Read-out of SPAD-based dToF Flash LiDARs
We propose a fully asynchronous peak detection approach for SPAD-based direct time-of-flight (dToF) flash LiDAR, enabling pixel-wise event-driven depth acquisition without global synchronization. By allowing pixels to independently report depth once a sufficient signal-to-noise ratio is achieved, the method reduces latency, mitigates motion blur, and increases effective frame rate compared to frame-based systems. The framework is validated under two hardware implementations: an offline 256$\tim…

Imaging of electrical signals in a quantum SiC microscope
A. Suhana, T. A. U. Svetikova, C. Schneider, M. Helm, A. N. Anisimov, G. V. Astakhov
https://arxiv.org/abs/2509.14888 h…

Imaging of electrical signals in a quantum SiC microscope
We report the experimental realization of a quantum silicon carbide microscope (QSiCM) and demonstrate its functionality by imaging magnetic fields generated by electrical currents. We employ a dual-frequency sensing protocol to enhance the readout contrast and suppress noise arising from strain and temperature fluctuations. This approach enables spatial imaging of current-induced magnetic fields with a field of view of $50 \times 50 $ virtual pixels, temporal resolution of $50\,\mathrm{ms}$, s…

@…
I'm sure it's the nostalgia speaking but I do have fond memories of cutting my teeth writing assembly to push pixels and abuse the hardware. An era when the entire annotated listing for TOS was in the back of a book and you could read and understand most of it.
@…

Doc: Google launched a Trusted Tester program that will select 15 of its "Superfans" to test unreleased Pixels, using protective cases to disguise the hardware (Chris Welch/Bloomberg)
https://www.bloomberg.com/news/articles/20

Statistical Analysis of Magnetic Patches in Solar Active Regions Using the Complex Network Method
Zahra Tajik, Hasan Rezaei, Mehdi Simiari, Hossien Safari
https://arxiv.org/abs/2509.10681

Statistical Analysis of Magnetic Patches in Solar Active Regions Using the Complex Network Method
Identifying solar active regions (ARs), which consist of one or more pairs of magnetic patches with opposite polarities, is essential due to their significant role in dynamic solar atmospheric phenomena. In this study, we analyze ARs during their emergence and evolution on the solar surface using a complex network-based method known as Identifying Solar Magnetic Patches (ISMP). To examine the magnetic characteristics, we selected a subregion of 125 $\times$ 125 pixels centered on AR NOAA No., 1…

Deeply Subwavelength Blue-Range Nanolaser
Daria Khemelevskaia, Nikolai Solodovchenko, Elizaveta Sapozhnikova, Igor Chestnov, Alexey Dmitriev, Vanik Shahnazaryan, Denis Baranov, Sergey Makarov
https://arxiv.org/abs/2509.13062

Deeply Subwavelength Blue-Range Nanolaser
Modern high-definition display and augmented reality technologies require the development of ultracompact micro- and nano-pixels with colors covering the full gamut and high brightness. In this regard, lasing nano-pixels emitting light in the spectral range 400-700 nm are highly demanded. Despite progress in red, green, and ultraviolet nanolasers, the demonstrated blue-range (400-500 nm) single-particle-based lasers are still not subwavelength yet. Here we fabricate CsPbCl$_3$ cubic-shaped sing…

Recovering Parametric Scenes from Very Few Time-of-Flight Pixels
Carter Sifferman, Yiquan Li, Yiming Li, Fangzhou Mu, Michael Gleicher, Mohit Gupta, Yin Li
https://arxiv.org/abs/2509.16132

Recovering Parametric Scenes from Very Few Time-of-Flight Pixels
We aim to recover the geometry of 3D parametric scenes using very few depth measurements from low-cost, commercially available time-of-flight sensors. These sensors offer very low spatial resolution (i.e., a single pixel), but image a wide field-of-view per pixel and capture detailed time-of-flight data in the form of time-resolved photon counts. This time-of-flight data encodes rich scene information and thus enables recovery of simple scenes from sparse measurements. We investigate the feasib…

An Efficient Shift-and-Stack Algorithm Applied to Detection Catalogs
Steven Stetzler, Mario Juri\'c, Pedro H. Bernardinelli, Dino Bekte\v{s}evi\'c, Colin Orion Chandler, Andrew J. Connolly, Fred C. Adams, Cesar Fuentes, David W. Gerdes, Matthew J. Holman, Hsing Wen Lin, Larissa Markwardt, Andrew McNeill, Michael Mommert, Kevin J. Napier, William J. Oldroyd, Matthew J. Payne, Andrew S. Rivkin, Luis E. Salazar-Manzano, Hilke Schlichting, Scott S. Sheppard, Dallin Spencer, Ryder S…

An Efficient Shift-and-Stack Algorithm Applied to Detection Catalogs
The boundary of solar system object discovery lies in detecting its faintest members. However, their discovery in detection catalogs from imaging surveys is fundamentally limited by the practice of thresholding detections at signal-to-noise (SNR) $\geq 5$ to maintain catalog purity. Faint moving objects can be recovered from survey images using the shift-and-stack algorithm, which coadds pixels from multi-epoch images along a candidate trajectory. Trajectories matching real objects accumulate s…

Humor in Pixels: Benchmarking Large Multimodal Models Understanding of Online Comics
Yuriel Ryan, Rui Yang Tan, Kenny Tsu Wei Choo, Roy Ka-Wei Lee
https://arxiv.org/abs/2509.12248

Humor in Pixels: Benchmarking Large Multimodal Models Understanding of Online Comics
Understanding humor is a core aspect of social intelligence, yet it remains a significant challenge for Large Multimodal Models (LMMs). We introduce PixelHumor, a benchmark dataset of 2,800 annotated multi-panel comics designed to evaluate LMMs' ability to interpret multimodal humor and recognize narrative sequences. Experiments with state-of-the-art LMMs reveal substantial gaps: for instance, top models achieve only 61% accuracy in panel sequencing, far below human performance. This underscore…

See all the blank pixels? Why does #Mastodon hide a popup menu here??
#gui #ux #design

CCNeXt: An Effective Self-Supervised Stereo Depth Estimation Approach
Alexandre Lopes, Roberto Souza, Helio Pedrini
https://arxiv.org/abs/2509.22627 https://

CCNeXt: An Effective Self-Supervised Stereo Depth Estimation Approach
Depth Estimation plays a crucial role in recent applications in robotics, autonomous vehicles, and augmented reality. These scenarios commonly operate under constraints imposed by computational power. Stereo image pairs offer an effective solution for depth estimation since it only needs to estimate the disparity of pixels in image pairs to determine the depth in a known rectified system. Due to the difficulty in acquiring reliable ground-truth depth data across diverse scenarios, self-supervis…

Shape-to-Scale InSAR Adaptive Filtering and Phase Linking under Complex Elliptical Models
Shuyi Yao, Alejandro C. Frery, Timo Balz
https://arxiv.org/abs/2509.12700 https://

Shape-to-Scale InSAR Adaptive Filtering and Phase Linking under Complex Elliptical Models
Distributed scatterers in InSAR (DS-InSAR) processing are essential for retrieving surface deformation in areas lacking strong point targets. Conventional workflows typically involve selecting statistically homogeneous pixels based on amplitude similarity, followed by phase estimation under the complex circular Gaussian model. However, amplitude statistics primarily reflect the backscattering strength of surface targets and may not sufficiently capture differences in decorrelation behavior. For…

MCI: Multi-Channel Imager on the Chinese Space Station Survey Telescope
Zhen-Ya Zheng, Chun Xu, Xiaohua Liu, Yong-He Chen, Fang Xu, Hu Zhan, Xinfeng Li, Lixin Zheng, Huanyuan Shan, Jing Zhong, Zhaojun Yan, Fang-Ting Yuan, Chunyan Jiang, Xiyan Peng, Wei Chen, Xue Cheng, Zhen-Lei Chen, Shuairu Zhu, Lin Long, Xin Zhang, Yan Gong, Li Shao, Wei Wang, Tianyi Zhang, Guohao Ju, Chenghao Li, Wei Wang, Zhiyuan Li, Tao Wang, Junfeng Wang, Chengyuan Li, Bin Ma, Jianguo Wang, Lei Wang, Dezi Liu, Ni…

MCI: Multi-Channel Imager on the Chinese Space Station Survey Telescope
The Multi-Channel Imager (MCI) is a powerful near-ultraviolet (NUV) and visible imager onboard the Chinese Space Station Survey Telescope (CSST). The MCI provides three imaging channels, which are the NUV channel, the Optical-blue channel and the Optical-red channel, with the wavelength range of 255-430 nm, 430-700 nm, and 700-1000 nm, respectively. The three channels can target the same field simultaneously. Each channel employs a CCD focal plane of 9216 x 9232 pixels and $\sim$7.5 x 7.5 arcmi…

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[1/4]:
- Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation Models
Patrick Knab, Sascha Marton, Christian Bartelt

DragOSM: Extract Building Roofs and Footprints from Aerial Images by Aligning Historical Labels
Kai Li, Xingxing Weng, Yupeng Deng, Yu Meng, Chao Pang, Gui-Song Xia, Xiangyu Zhao
https://arxiv.org/abs/2509.17951

DragOSM: Extract Building Roofs and Footprints from Aerial Images by Aligning Historical Labels
Extracting polygonal roofs and footprints from remote sensing images is critical for large-scale urban analysis. Most existing methods rely on segmentation-based models that assume clear semantic boundaries of roofs, but these approaches struggle in off- nadir images, where the roof and footprint are significantly displaced, and facade pixels are fused with the roof boundary. With the increasing availability of open vector map annotations, e.g., OpenStreetMap, utilizing historical labels for of…