Tootfinder

EgoDemoGen: Novel Egocentric Demonstration Generation Enables Viewpoint-Robust Manipulation
Yuan Xu, Jiabing Yang, Xiaofeng Wang, Yixiang Chen, Zheng Zhu, Bowen Fang, Guan Huang, Xinze Chen, Yun Ye, Qiang Zhang, Peiyan Li, Xiangnan Wu, Kai Wang, Bing Zhan, Shuo Lu, Jing Liu, Nianfeng Liu, Yan Huang, Liang Wang
https://arxiv.org/abs/2509.22…

EgoDemoGen: Novel Egocentric Demonstration Generation Enables Viewpoint-Robust Manipulation
Imitation learning based policies perform well in robotic manipulation, but they often degrade under *egocentric viewpoint shifts* when trained from a single egocentric viewpoint. To address this issue, we present **EgoDemoGen**, a framework that generates *paired* novel egocentric demonstrations by retargeting actions in the novel egocentric frame and synthesizing the corresponding egocentric observation videos with proposed generative video repair model **EgoViewTransfer**, which is condition…

Condenan ONG alemanas allanamiento a la vivienda de la directora del Frayba
https://www.jornada.com.mx/2025/07/28/estados/030n2est
Periódico La Jornada
Lunes 28 de julio de 2025, p. 30
San Cristóbal de Las Casas, Chis., Una docena de organizaciones de izquier…

Skill, Will, or Both? Understanding Digital Inaccessibility from Accessibility Professionals' Viewpoint
P D Parthasarathy, Rachel F. Adler, Devorah Kletenik, Swaroop Joshi, Anshu M Mittal
https://arxiv.org/abs/2509.23287

Skill, Will, or Both? Understanding Digital Inaccessibility from Accessibility Professionals' Viewpoint
Digital inaccessibility continues to be a significant barrier to true inclusion and equality. WebAIM's 2024 report reveals that only 4.1% of the world's top one million website homepages are fully accessible. Furthermore, the percentage of web pages with detectable Web Content Accessibility Guidelines (WCAG) failures has only decreased by 1.9\% over the past five years, from 97.8%. To gain deeper insights into the persistent challenges of digital accessibility, we conducted a comprehensive surv…

TASI lectures on Matrix Theory from a modern viewpoint
Henry W. Lin
https://arxiv.org/abs/2508.20970 https://arxiv.org/pdf/2508.20970

TASI lectures on Matrix Theory from a modern viewpoint
These notes review the D0-brane or Banks-Fischler-Shenker-Susskind (BFSS) matrix quantum mechanics from a post-AdS/CFT perspective. We start from the decoupling argument for D0-branes and discuss the gravity dual in the 't Hooft regime, before extrapolating to strong coupling. In the second part of these notes, we review the matrix bootstrap method and its application to the D0-brane quantum mechanics.

Wir stellen gerade fest, dass bei Tubfind (usner Vufind) die Merklisten beim Ausweistausch verwaisen, da sie an die Ausweisnummer gebunden sind. Logisch, da PAIA auch nur den Barcode liefert und nicht die (permanente) Registriernummer.
Ich bin etwas baff, dass so etwas erst nach so vielen Jahren auffällt.
(Am Rande: Zusätzlich baff, dass 1500 Registriernummern im LBS auch nicht gesetzt waren und auch ne Menge - insbesondere bei sehr alten Konten - merkwürdig aussehen)

ActLoc: Learning to Localize on the Move via Active Viewpoint Selection
Jiajie Li, Boyang Sun, Luca Di Giammarino, Hermann Blum, Marc Pollefeys
https://arxiv.org/abs/2508.20981 …

ActLoc: Learning to Localize on the Move via Active Viewpoint Selection
Reliable localization is critical for robot navigation, yet most existing systems implicitly assume that all viewing directions at a location are equally informative. In practice, localization becomes unreliable when the robot observes unmapped, ambiguous, or uninformative regions. To address this, we present ActLoc, an active viewpoint-aware planning framework for enhancing localization accuracy for general robot navigation tasks. At its core, ActLoc employs a largescale trained attention-base…

ReCon-GS: Continuum-Preserved Guassian Streaming for Fast and Compact Reconstruction of Dynamic Scenes
Jiaye Fu, Qiankun Gao, Chengxiang Wen, Yanmin Wu, Siwei Ma, Jiaqi Zhang, Jian Zhang
https://arxiv.org/abs/2509.24325

ReCon-GS: Continuum-Preserved Guassian Streaming for Fast and Compact Reconstruction of Dynamic Scenes
Online free-viewpoint video (FVV) reconstruction is challenged by slow per-frame optimization, inconsistent motion estimation, and unsustainable storage demands. To address these challenges, we propose the Reconfigurable Continuum Gaussian Stream, dubbed ReCon-GS, a novel storage-aware framework that enables high fidelity online dynamic scene reconstruction and real-time rendering. Specifically, we dynamically allocate multi-level Anchor Gaussians in a density-adaptive fashion to capture inter-…

MimicDreamer: Aligning Human and Robot Demonstrations for Scalable VLA Training
Haoyun Li, Ivan Zhang, Runqi Ouyang, Xiaofeng Wang, Zheng Zhu, Zhiqin Yang, Zhentao Zhang, Boyuan Wang, Chaojun Ni, Wenkang Qin, Xinze Chen, Yun Ye, Guan Huang, Zhenbo Song, Xingang Wang
https://arxiv.org/abs/2509.22199…

MimicDreamer: Aligning Human and Robot Demonstrations for Scalable VLA Training
Vision Language Action (VLA) models derive their generalization capability from diverse training data, yet collecting embodied robot interaction data remains prohibitively expensive. In contrast, human demonstration videos are far more scalable and cost-efficient to collect, and recent studies confirm their effectiveness in training VLA models. However, a significant domain gap persists between human videos and robot-executed videos, including unstable camera viewpoints, visual discrepancies be…

SSR-ZSON: Zero-Shot Object Navigation via Spatial-Semantic Relations within a Hierarchical Exploration Framework
Xiangyi Meng, Delun Li, Zihao Mao, Yi Yang, Wenjie Song
https://arxiv.org/abs/2509.24763

SSR-ZSON: Zero-Shot Object Navigation via Spatial-Semantic Relations within a Hierarchical Exploration Framework
Zero-shot object navigation in unknown environments presents significant challenges, mainly due to two key limitations: insufficient semantic guidance leads to inefficient exploration, while limited spatial memory resulting from environmental structure causes entrapment in local regions. To address these issues, we propose SSR-ZSON, a spatial-semantic relative zero-shot object navigation method based on the TARE hierarchical exploration framework, integrating a viewpoint generation strategy bal…

Adaptive Prior Scene-Object SLAM for Dynamic Environments
Haolan Zhang, Thanh Nguyen Canh, Chenghao Li, Nak Young Chong
https://arxiv.org/abs/2507.21709 https://

Adaptive Prior Scene-Object SLAM for Dynamic Environments
Visual Simultaneous Localization and Mapping (SLAM) plays a vital role in real-time localization for autonomous systems. However, traditional SLAM methods, which assume a static environment, often suffer from significant localization drift in dynamic scenarios. While recent advancements have improved SLAM performance in such environments, these systems still struggle with localization drift, particularly due to abrupt viewpoint changes and poorly characterized moving objects. In this paper, we …