Tootfinder

Uncertainty relations for unified ($\alpha$,$\beta$)-relative entropy of coherence under mutually unbiased equiangular tight frames
Baolong Cheng, Zhaoqi Wu
https://arxiv.org/abs/2506.09779

Uncertainty relations for unified ($α$,$β$)-relative entropy of coherence under mutually unbiased equiangular tight frames
Uncertainty relations based on quantum coherence is an important problem in quantum information science. We discuss uncertainty relations for averaged unified ($α$,$β$)-relative entropy of coherence under mutually unbiased equiangular tight frames, and derive an interesting result for different parameters. As consequences, we obtain corresponding results under mutually unbiased bases, equiangular tight frames or based on Tsallis $α$- relative entropies and Rényi-$α$ relative entropies. We …

Short note on phase retrievable weaving fusion frames
Animesh Bhandari
https://arxiv.org/abs/2506.08478 https://arxiv.org/pdf/2506.08…

Short note on phase retrievable weaving fusion frames
Fusion frames are extensively studied due to their effectiveness in recovering signals from large-scale data. They are applicable in distributed processing, wireless sensor networks, and packet encoding systems due to their robustness and redundancy. Motivated by the foundational work of Bemrose et al.\cite{Be16} and Balan\cite{Ba13}, this paper investigates the theoretical properties and characterizations of phase retrievable weaving fusion frames. These frames offer enhanced redundancy and st…

Efficient Prediction of SO(3)-Equivariant Hamiltonian Matrices via SO(2) Local Frames
Haiyang Yu, Yuchao Lin, Xuan Zhang, Xiaofeng Qian, Shuiwang Ji
https://arxiv.org/abs/2506.09398

Efficient Prediction of SO(3)-Equivariant Hamiltonian Matrices via SO(2) Local Frames
We consider the task of predicting Hamiltonian matrices to accelerate electronic structure calculations, which plays an important role in physics, chemistry, and materials science. Motivated by the inherent relationship between the off-diagonal blocks of the Hamiltonian matrix and the SO(2) local frame, we propose a novel and efficient network, called QHNetV2, that achieves global SO(3) equivariance without the costly SO(3) Clebsch-Gordan tensor products. This is achieved by introducing a set o…

{nplyr} has helper functions to work on nested dataframes: #rstats #datascience

On the lack of colimits in various categories of BAOs and Heyting algebras
Marco Abbadini, Guram Bezhanishvili, Luca Carai
https://arxiv.org/abs/2507.07489

On the lack of colimits in various categories of BAOs and Heyting algebras
We prove that various categories of BAOs (boolean algebras with an operator) with stable morphisms between them are not cocomplete, and that neither are the category of Heyting algebras with bounded lattice morphisms, its full subcategory consisting of frames, and the category of frames with Heyting morphisms. As a consequence, none of these categories is equivalent to a prevariety of algebras, let alone a variety. In particular, we obtain that the category of McKinsey-Tarski algebras is not eq…

Attention-Bayesian Hybrid Approach to Modular Multiple Particle Tracking
Piyush Mishra (I2M, FRESNEL, TCLS, AMU), Philippe Roudot (FRESNEL, TCLS, CNRS)
https://arxiv.org/abs/2506.09441

Attention-Bayesian Hybrid Approach to Modular Multiple Particle Tracking
Tracking multiple particles in noisy and cluttered scenes remains challenging due to a combinatorial explosion of trajectory hypotheses, which scales super-exponentially with the number of particles and frames. The transformer architecture has shown a significant improvement in robustness against this high combinatorial load. However, its performance still falls short of the conventional Bayesian filtering approaches in scenarios presenting a reduced set of trajectory hypothesis. This suggests …

Mixed states for reference frames transformations
Gaetano Fiore, Fedele Lizzi
https://arxiv.org/abs/2507.05758 https://arxiv.org/pdf/…

Mixed states for reference frames transformations
We discuss the concept of transformations among reference frames (classical or quantum). Usually transformations among classical reference frames have sharply defined parameters; geometrically they can be considered as pure states in the parameters' space, and they form a group. It is however possible that the distributions in the parameters' space are mixed state; such states form a semigroup. Similarly, transformations among quantum reference frames can be either pure or mixed. This gives ris…

Semantic Frame Interpolation
Yijia Hong, Jiangning Zhang, Ran Yi, Yuji Wang, Weijian Cao, Xiaobin Hu, Zhucun Xue, Yabiao Wang, Chengjie Wang, Lizhuang Ma
https://arxiv.org/abs/2507.05173

Semantic Frame Interpolation
Generating intermediate video content of varying lengths based on given first and last frames, along with text prompt information, offers significant research and application potential. However, traditional frame interpolation tasks primarily focus on scenarios with a small number of frames, no text control, and minimal differences between the first and last frames. Recent community developers have utilized large video models represented by Wan to endow frame-to-frame capabilities. However, the…

This https://arxiv.org/abs/2506.04116 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging
In medical imaging, 4D MRI enables dynamic 3D visualization, yet the trade-off between spatial and temporal resolution requires prolonged scan time that can compromise temporal fidelity--especially during rapid, large-amplitude motion. Traditional approaches typically rely on registration-based interpolation to generate intermediate frames. However, these methods struggle with large deformations, resulting in misregistration, artifacts, and diminished spatial consistency. To address these chall…

#EpsteinClientList

STREAMINGGS: Voxel-Based Streaming 3D Gaussian Splatting with Memory Optimization and Architectural Support
Chenqi Zhang, Yu Feng, Jieru Zhao, Guangda Liu, Wenchao Ding, Chentao Wu, Minyi Guo
https://arxiv.org/abs/2506.09070

STREAMINGGS: Voxel-Based Streaming 3D Gaussian Splatting with Memory Optimization and Architectural Support
3D Gaussian Splatting (3DGS) has gained popularity for its efficiency and sparse Gaussian-based representation. However, 3DGS struggles to meet the real-time requirement of 90 frames per second (FPS) on resource-constrained mobile devices, achieving only 2 to 9 FPS.Existing accelerators focus on compute efficiency but overlook memory efficiency, leading to redundant DRAM traffic. We introduce STREAMINGGS, a fully streaming 3DGS algorithm-architecture co-design that achieves fine-grained pipelin…

Replaced article(s) found for math.OA. https://arxiv.org/list/math.OA/new/
[1/1]:
Linear Deformations of Heisenberg Modules and Gabor Frames
https…

Fourier frames on smooth surfaces with nonvanishing Gaussian curvature
Xinyu Chen, Bochen Liu
https://arxiv.org/abs/2507.05777 https://

Fourier frames on smooth surfaces with nonvanishing Gaussian curvature
It is known that a small spherical cap (rigorously its surface measure) admits Fourier frames, while the whole sphere does not. In this paper, we prove more general results. Consequences indclude that a small spherical cap in $\mathbb{R}^d$ near the north pole cannot have a frame spectrum near the $x_d$-axis, and $S$ does not admit any Fourier frame if its interior contains a closed hemisphere. We also resolve the endpoint case, that is, a hemisphere does not admit any Fourier frame. This answe…

Bio-Inspired Hybrid Map: Spatial Implicit Local Frames and Topological Map for Mobile Cobot Navigation
Tuan Dang, Manfred Huber
https://arxiv.org/abs/2507.04649

Bio-Inspired Hybrid Map: Spatial Implicit Local Frames and Topological Map for Mobile Cobot Navigation
Navigation is a fundamental capacity for mobile robots, enabling them to operate autonomously in complex and dynamic environments. Conventional approaches use probabilistic models to localize robots and build maps simultaneously using sensor observations. Recent approaches employ human-inspired learning, such as imitation and reinforcement learning, to navigate robots more effectively. However, these methods suffer from high computational costs, global map inconsistency, and poor generalization…

Retain or Reframe? A Computational Framework for the Analysis of Framing in News Articles and Reader Comments
Matteo Guida, Yulia Otmakhova, Eduard Hovy, Lea Frermann
https://arxiv.org/abs/2507.04612

Retain or Reframe? A Computational Framework for the Analysis of Framing in News Articles and Reader Comments
When a news article describes immigration as an "economic burden" or a "humanitarian crisis," it selectively emphasizes certain aspects of the issue. Although \textit{framing} shapes how the public interprets such issues, audiences do not absorb frames passively but actively reorganize the presented information. While this relationship between source content and audience response is well-documented in the social sciences, NLP approaches often ignore it, detecting frames in articles and response…

Efficient Model Checking for the Alternating-Time {\mu}-Calculus via Effectivity Frames
Daniel Hausmann, Merlin Humml, Simon Prucker, Lutz Schr\"oder
https://arxiv.org/abs/2506.01010

Efficient Model Checking for the Alternating-Time μ-Calculus via Effectivity Frames
The semantics of alternating-time temporal logic (ATL) and the more expressive alternating-time μ-calculus (AMC) is standardly given in terms of concurrent game frames (CGF). The information required to interpret AMC formulas is equivalently represented in terms of effectivity frames in the sense of Pauly; in many cases, this representation is more compact than the corresponding CGF, and in principle allows for faster evaluation of coalitional modalities. In the present work, we investigate wh…

Regge trajectories, detectors, and distributions in the critical ${\rm O}(N)$ model
Yue-Zhou Li, David Simmons-Duffin
https://arxiv.org/abs/2506.06419 http…

Regge trajectories, detectors, and distributions in the critical ${\rm O}(N)$ model
We explore light-ray operators in the critical O$(N)$ model in the large-$N$ limit, focusing on leading-twist and leading ``horizontal" trajectories. We distinguish between light-ray operators in two conformal frames: detector operators, which characterize event shapes of final states, and distribution operators, which probe initial-state distributions. In particular, we identify parton distribution functions (PDFs) and collinear functions as matrix elements of appropriate distribution operator…

The Time Someone Plagiarized Calvin & Hobbes and Nobody Noticed or Cared
#comics

Submodules of $H^2(\mathbb{T}^2)$ and Frames by Pairs of Bounded Commuting Operators
Victor Bailey, Carlos Cabrelli
https://arxiv.org/abs/2507.04992 https:…

Submodules of $H^2(\mathbb{T}^2)$ and Frames by Pairs of Bounded Commuting Operators
Recent work in Dynamical Sampling has been centered on characterizing frames obtained by the orbit of a vector under a bounded operator. We prove a necessary and sufficient condition for a pair of bounded commuting operators on a separable infinite-dimensional Hilbert space to generate a frame by unilateral iterations on a single vector. Applying the theory on submodules of the Hardy module $H^2(\mathbb{T}^2)$, we characterize these frames in terms of their relation to the two-variable Jordan b…

When Trackers Date Fish: A Benchmark and Framework for Underwater Multiple Fish Tracking
Weiran Li, Yeqiang Liu, Qiannan Guo, Yijie Wei, Hwa Liang Leo, Zhenbo Li
https://arxiv.org/abs/2507.06400

When Trackers Date Fish: A Benchmark and Framework for Underwater Multiple Fish Tracking
Multiple object tracking (MOT) technology has made significant progress in terrestrial applications, but underwater tracking scenarios remain underexplored despite their importance to marine ecology and aquaculture. We present Multiple Fish Tracking Dataset 2025 (MFT25), the first comprehensive dataset specifically designed for underwater multiple fish tracking, featuring 15 diverse video sequences with 408,578 meticulously annotated bounding boxes across 48,066 frames. Our dataset captures var…

Effectively Identifying Wi-Fi Devices through State Transitions
Melissa Safari, Abhishek K. Mishra, Mathieu Cunche
https://arxiv.org/abs/2507.02478 https:/…

Effectively Identifying Wi-Fi Devices through State Transitions
Wi-Fi management frames reveal structured communication patterns that persist even under randomization of MAC addresses. Prior approaches to associating randomized MAC addresses with devices primarily focus on probe requests, overlooking the broader set of management frames and their transition dynamics. This narrow focus limits their robustness in dense, real-world environments with high device mobility, where probe activity alone fails to yield stable and distinctive signatures. In this paper…

Teaching special relativity in elementary physics or upper high school courses
Maria Grazia Blumetti, Biagio Buonaura, Giuseppe Giuliani, Marco Litterio
https://arxiv.org/abs/2506.07872

Teaching special relativity in elementary physics or upper high school courses
This paper aims to provide teachers with a tool to teach the essential features of special relativity, considering the students' difficulties highlighted by numerous studies. Our proposal presents special relativity as the solution to the troubles of Newtonian dynamics, exemplified by the infinities of Newtonian uniformly accelerated motion. The paper's main section uses thought experiments with the exchange of flashes of light of null duration between two inertial reference frames to derive th…

Small thing I noticed today: splitting `.mkv` files using `ffmpeg` via the `-ss` and `-t` options works great, but the resulting `.mkv` file contains the wrong number of frames in the metadata. Evidently the total frames from the source file gets written into the metadata instead of the resulting frames post-splitting which is annoying. Not a deal breaker, but kind of annoying...easy to fix with a quick run through `mkvmerge` but still just weird.

#Framed 1214
🎥 🟥 🟥 🟩 ⬛ ⬛ ⬛
https://framed.wtf

#Framed #1213
🎥 🟥 🟩 ⬛ ⬛ ⬛ ⬛
https://framed.wtf
Framed - One Frame Challenge #216
🎥 🟩 ⬛ ⬛ ⬛ ⬛ ⬛

QoE Optimization for Semantic Self-Correcting Video Transmission in Multi-UAV Networks
Xuyang Chen, Chong Huang, Daquan Feng, Lei Luo, Yao Sun, Xiang-Gen Xia
https://arxiv.org/abs/2507.06717

QoE Optimization for Semantic Self-Correcting Video Transmission in Multi-UAV Networks
Real-time unmanned aerial vehicle (UAV) video streaming is essential for time-sensitive applications, including remote surveillance, emergency response, and environmental monitoring. However, it faces challenges such as limited bandwidth, latency fluctuations, and high packet loss. To address these issues, we propose a novel semantic self-correcting video transmission framework with ultra-fine bitrate granularity (SSCV-G). In SSCV-G, video frames are encoded into a compact semantic codebook spa…

It is only a matter of time until noem, homan, dhs, ice and potus realize dropping people out of aircraft is cheaper than housing or moving them.
Unless they already have.
Rumors are the US is engaging in death flights. Already there are some known flight paths of ice flights turning around over bodies of water.
The US Congress and international community seem to be the only things that can stop this.

RateCount: Learning-Free Device Counting by Wi-Fi Probe Listening
Tianlang He, Zhangyu Chang, S. -H. Gary Chan
https://arxiv.org/abs/2507.03873 https://

RateCount: Learning-Free Device Counting by Wi-Fi Probe Listening
A Wi-Fi-enabled device, or simply Wi-Fi device, sporadically broadcasts probe request frames (PRFs) to discover nearby access points (APs), whether connected to an AP or not. To protect user privacy, unconnected devices often randomize their MAC addresses in the PRFs, known as MAC address randomization. While prior works have achieved accurate device counting under MAC address randomization, they typically rely on machine learning, resulting in inefficient deployment due to the time-consuming p…

Well, the good news is that it’s over. Run/walk staying in HR zone 2 and I think I was walking more than running. My fitness is 💩 right now. The humidity about killed me, even at 0730. I should have gone out earlier.
I’m at my in-laws place in Tennessee for the holiday weekend, of which this beautiful neighborhood has so few mature trees. As such, the sun gleefully poured out its angry menace upon me the entire time and I suffered. I am meant for cold weather.

Interesting thing about tomorrow's tarot show, rendering now, is that I upgraded from Blender 4.0 to blender 4.4 and it's quite a bit nicer to look at the timeline editor.
Was sad to find that the render time was up though. From about 3 seconds per frame usually to more like 12!?
Trying it with an old version I see that the lights and textures look way better with 4.4 than 4.0 though. A substantial step up in the way the show looks without me even doing anything other than waiting four times longer per frame.
Seems to be heavily dependent upon lighting now. The slow frames are like 12 seconds but the fast frames with minimal lighting and close up on the video are more like 2.
Looks too beautiful now to go back though. Upgraded my cloud-remote render machines too. We will render on four machines tonight. FOUR! The power of it all.
g3.4xlarge is no faster than g3.large but g6.xlarge seems to be twice the speed.
But hard to be sure really coz of the massive variance in time depending on the lighting.
Anyway, great show coming tomorrow. Sometimes I wonder what the hell I'm trying to do with it but tomorrow's show is the answer. Hide the angry bitter political rant behind a strange CGI tarot show. When the rant comes together well I like it.
https://wordcloudtarot.com/@wordcloudtarot/statuses/01JYFF0GQV1680Z0VG0YTFZDTP

This https://arxiv.org/abs/2401.09280 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Posets arising from decompositions of objects in a monoidal category
Given a symmetric monoidal category $C$ with product $\sqcup$, where the neutral element for the product is an initial object, we consider the poset of $\sqcup$-complemented subobjects of a given object $X$. When this poset has finite height, we define decompositions and partial decompositions of $X$ which are coherent with $\sqcup$, and order them by refinement. From these posets, we define complexes of frames and partial bases, augmented Bergman complexes and related ordered versions. We prop…

Relational entanglement entropies and quantum reference frames in gauge theories
Goncalo Araujo-Regado, Philipp A. Hoehn, Francesco Sartini
https://arxiv.org/abs/2506.23459

Relational entanglement entropies and quantum reference frames in gauge theories
It has been shown that defining gravitational entanglement entropies relative to quantum reference frames (QRFs) intrinsically regularizes them. Here, we demonstrate that such relational definitions also have an advantage in lattice gauge theories, where no ultraviolet divergences occur. To this end, we introduce QRFs for the gauge group via Wilson lines on a lattice with global boundary, realizing edge modes on the bulk entangling surface. Overcoming challenges of previous nonrelational approa…

Another cool and useful package from @…: {emphatic} augments the output of data.frames, matrices and simple vectors in R by adding user-defined ANSI highlighting. https://c…

Degree of Kripke-incompleteness of Tense Logics
Qian Chen
https://arxiv.org/abs/2507.04533 https://arxiv.org/pdf/2507.04533

Degree of Kripke-incompleteness of Tense Logics
The degree of Kripke-incompleteness of a logic $L$ in some lattice $\mathcal{L}$ of logics is the cardinality of logics in $\mathcal{L}$ which share the same class of Kripke-frames with $L$. A celebrated result on Kripke-incompleteness is Blok's dichotomy theorem for the degree of Kripke-incompleteness in $\mathsf{NExt}(\mathsf{K})$: every modal logic $L\in\mathsf{NExt}(\mathsf{K})$ is of the degree of Kripke-incompleteness $1$ or $2^{\aleph_0}$. In this work, we show that the dichotomy theorem…

Viscosity in Isotropic Cosmological Backgrounds in General Relativity and Starobinsky Gravity
Eliseo Pavone, Luigi Tedesco
https://arxiv.org/abs/2506.05180

Viscosity in Isotropic Cosmological Backgrounds in General Relativity and Starobinsky Gravity
We present a general analysis of the role of shear viscosity in cosmological backgrounds, focusing on isotropic space-time in both Einstein and $f(R)$ gravity. By computing the divergence of the stress-energy tensor in a general class of isotropic (but not necessarily homogeneous) geometries, we show that shear viscosity does not contribute to the background dynamics when the fluid is comoving. This result holds in both the Jordan and Einstein frames, and implies that shear viscosity cannot aff…

Analysis of the evolution of terrestrial relief through inverse elevation transition
Yulisa Valverde, Milton Valverde, Jhair Tarazona, Giorgio Tarazona, Yehosua Tarazona
https://arxiv.org/abs/2507.03173

Analysis of the evolution of terrestrial relief through inverse elevation transition
Through the examination of the Theory of Seismic Energy and the Theory of Volcanic Energy, we understand that the interaction of internal and external energies in favourable terrain has led to countless transformations over geological time frames. Therefore, this research aims to understand the evolution of the Earth's surface based on the theories proposed by Claudio Valverde Ramirez. This study introduces the concept of inverse elevation transition, which explains the formation of mountains, …

The Latent Space Hypothesis: Toward Universal Medical Representation Learning
Salil Patel
https://arxiv.org/abs/2506.04515 https://ar…

The Latent Space Hypothesis: Toward Universal Medical Representation Learning
Medical data range from genomic sequences and retinal photographs to structured laboratory results and unstructured clinical narratives. Although these modalities appear disparate, many encode convergent information about a single underlying physiological state. The Latent Space Hypothesis frames each observation as a projection of a unified, hierarchically organized manifold -- much like shadows cast by the same three-dimensional object. Within this learned geometric representation, an individ…

Yesterday attending a project strategy meeting for MaterialDigital at the Institute for microtribology. No, I don’t have any idea why they have put this in front of it😜
#pmd #materialsscience #mse

Existence and Properties of Frames of Iterations
A. Aguilera, C. Cabrelli, F. Negreira, V. Paternostro
https://arxiv.org/abs/2506.00567 https://

Existence and Properties of Frames of Iterations
Let T be a bounded operator acting on an infinite-dimensional Hilbert space. We provide necessary and sufficient conditions for the existence of a Parseval frame of iterations generated by T. Based in this result, we give a new proof of a known characterization concerning the existence of (not necessarily Parseval) frames of iterations. As a consequence of our results, we obtain that certain operators lack Parseval frames despite possessing frames of iterations. In addition, we introduce the in…

#usa #america #fascism

Self-Supervised Real-Time Tracking of Military Vehicles in Low-FPS UAV Footage
Markiyan Kostiv, Anatolii Adamovskyi, Yevhen Cherniavskyi, Mykyta Varenyk, Ostap Viniavskyi, Igor Krashenyi, Oles Dobosevych
https://arxiv.org/abs/2507.05229

Self-Supervised Real-Time Tracking of Military Vehicles in Low-FPS UAV Footage
Multi-object tracking (MOT) aims to maintain consistent identities of objects across video frames. Associating objects in low-frame-rate videos captured by moving unmanned aerial vehicles (UAVs) in actual combat scenarios is complex due to rapid changes in object appearance and position within the frame. The task becomes even more challenging due to image degradation caused by cloud video streaming and compression algorithms. We present how instance association learning from single-frame annota…

Moduli of truncated shtukas and displays
Eva Viehmann, Torsten Wedhorn, Appendix by Christopher Lang
https://arxiv.org/abs/2506.01740 https://

Moduli of truncated shtukas and displays
We study moduli spaces of truncated local shtukas and truncated displays and describe them as concrete quotient stacks. To do this, we develop a general formalism of frames that can be applied in both cases and is also used to study prismatic displays and prismatic F-gauges.

#Framed 1213
🎥 🟥 🟥 🟥 🟩 ⬛ ⬛
https://framed.wtf

This https://arxiv.org/abs/2505.03448 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

AquaticVision: Benchmarking Visual SLAM in Underwater Environment with Events and Frames
Many underwater applications, such as offshore asset inspections, rely on visual inspection and detailed 3D reconstruction. Recent advancements in underwater visual SLAM systems for aquatic environments have garnered significant attention in marine robotics research. However, existing underwater visual SLAM datasets often lack groundtruth trajectory data, making it difficult to objectively compare the performance of different SLAM algorithms based solely on qualitative results or COLMAP reconst…

Cross-attention and Self-attention for Audio-visual Speaker Diarization in MISP-Meeting Challenge
Zhaoyang Li, Haodong Zhou, Longjie Luo, Xiaoxiao Li, Yongxin Chen, Lin Li, Qingyang Hong
https://arxiv.org/abs/2506.02621

Cross-attention and Self-attention for Audio-visual Speaker Diarization in MISP-Meeting Challenge
This paper presents the system developed for Task 1 of the Multi-modal Information-based Speech Processing (MISP) 2025 Challenge. We introduce CASA-Net, an embedding fusion method designed for end-to-end audio-visual speaker diarization (AVSD) systems. CASA-Net incorporates a cross-attention (CA) module to effectively capture cross-modal interactions in audio-visual signals and employs a self-attention (SA) module to learn contextual relationships among audio-visual frames. To further enhance p…

This https://arxiv.org/abs/2503.08720 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

AI for Just Work: Constructing Diverse Imaginations of AI beyond "Replacing Humans"
"why" we develop AI. Lacking critical reflections on the general visions and purposes of AI may make the community vulnerable to manipulation. In this position paper, we explore the "why" question of AI. We denote answers to the "why" question the imaginations of AI, which depict our general visions, frames, and mindsets for the prospects of AI. We identify that the prevailing vision in the AI community is largely a monoculture that emphasizes objectives such as replacing humans and improving p…

#NVIDIA = fake reviews of fake frames.
Fortunately, reputable card reviewers refused to publish misleading bribed content:
https://www.youtube.com/watch?v=AiekGcwaIho

This https://arxiv.org/abs/2502.20991 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLO_…

Domains, Information Frames, Rough Sets: An Equivalence of Categories
A generalization of Scott's information systems~\cite{sco82} is presented that captures exactly all continuous domains. The global consistency predicate in Scott's definition is relativized. Now, for every atomic statement, there is a consistency predicate that states which finite sets of statements express information that is consistent with the given statement. The category of information frames is shown to be equivalent to the category of domains. Moreover, the relationship with CF-approxima…

4DSloMo: 4D Reconstruction for High Speed Scene with Asynchronous Capture
Yutian Chen, Shi Guo, Tianshuo Yang, Lihe Ding, Xiuyuan Yu, Jinwei Gu, Tianfan Xue
https://arxiv.org/abs/2507.05163

4DSloMo: 4D Reconstruction for High Speed Scene with Asynchronous Capture
Reconstructing fast-dynamic scenes from multi-view videos is crucial for high-speed motion analysis and realistic 4D reconstruction. However, the majority of 4D capture systems are limited to frame rates below 30 FPS (frames per second), and a direct 4D reconstruction of high-speed motion from low FPS input may lead to undesirable results. In this work, we propose a high-speed 4D capturing system only using low FPS cameras, through novel capturing and processing modules. On the capturing side, …

D\'ej\`a Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse
Jinwoo Hwang, Daeun Kim, Sangyeop Lee, Yoonsung Kim, Guseul Heo, Hojoon Kim, Yunseok Jeong, Tadiwos Meaza, Eunhyeok Park, Jeongseob Ahn, Jongse Park
https://arxiv.org/abs/2506.14107

Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse
Recently, Video-Language Models (VideoLMs) have demonstrated remarkable capabilities, offering significant potential for flexible and powerful video query systems. These models typically rely on Vision Transformers (ViTs), which process video frames individually to extract visual embeddings. However, generating embeddings for large-scale videos requires ViT inferencing across numerous frames, posing a major hurdle to real-world deployment and necessitating solutions for integration into scalabl…

FB-Diff: Fourier Basis-guided Diffusion for Temporal Interpolation of 4D Medical Imaging
Xin You, Runze Yang, Chuyan Zhang, Zhongliang Jiang, Jie Yang, Nassir Navab
https://arxiv.org/abs/2507.04547

FB-Diff: Fourier Basis-guided Diffusion for Temporal Interpolation of 4D Medical Imaging
The temporal interpolation task for 4D medical imaging, plays a crucial role in clinical practice of respiratory motion modeling. Following the simplified linear-motion hypothesis, existing approaches adopt optical flow-based models to interpolate intermediate frames. However, realistic respiratory motions should be nonlinear and quasi-periodic with specific frequencies. Intuited by this property, we resolve the temporal interpolation task from the frequency perspective, and propose a Fourier b…

Use your invulnerability frames well in life.

A new paper projecting Joshua tree habitat under future climate based on incredibly high-resolution distribution data, from Joshua Tree Genome Project collaborators at USGS. They estimate up to 80% loss of suitable habitat by 2100 under the worst-case climate scenario.
#JoshuaTree #science

#Fensterfreitag #FensterFriday
New building under construction in Victoria BC
Note the decorations on the vertical "frames"

SNIFR : Boosting Fine-Grained Child Harmful Content Detection Through Audio-Visual Alignment with Cascaded Cross-Transformer
Orchid Chetia Phukan, Mohd Mujtaba Akhtar, Girish, Swarup Ranjan Behera, Abu Osama Siddiqui, Sarthak Jain, Priyabrata Mallick, Jaya Sai Kiran Patibandla, Pailla Balakrishna Reddy, Arun Balaji Buduru, Rajesh Sharma
https://

SNIFR : Boosting Fine-Grained Child Harmful Content Detection Through Audio-Visual Alignment with Cascaded Cross-Transformer
As video-sharing platforms have grown over the past decade, child viewership has surged, increasing the need for precise detection of harmful content like violence or explicit scenes. Malicious users exploit moderation systems by embedding unsafe content in minimal frames to evade detection. While prior research has focused on visual cues and advanced such fine-grained detection, audio features remain underexplored. In this study, we embed audio cues with visual for fine-grained child harmful c…

I want Specsavers and Apple to have a partnership for VisionOS frames.

#FensterFreitag
Windows of MPs of the Scottish parliament building in Edinburgh
#architecture #architecturePhotography

This https://arxiv.org/abs/2411.00290 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Bounds on Discrete Potentials of Spherical (k,k)-Designs
We derive universal lower and upper bounds for max-min and min-max problems (also known as polarization) for the potential of spherical $(k,k)$-designs and provide certain examples, including unit-norm tight frames, that attain these bounds. The universality is understood in the sense that the bounds hold for all spherical $(k,k)$-designs and for a large class of potential functions, and the bounds involve certain nodes and weights that are independent of the potential. When the potential funct…

TLB-VFI: Temporal-Aware Latent Brownian Bridge Diffusion for Video Frame Interpolation
Zonglin Lyu, Chen Chen
https://arxiv.org/abs/2507.04984 https://

TLB-VFI: Temporal-Aware Latent Brownian Bridge Diffusion for Video Frame Interpolation
Video Frame Interpolation (VFI) aims to predict the intermediate frame $I_n$ (we use n to denote time in videos to avoid notation overload with the timestep $t$ in diffusion models) based on two consecutive neighboring frames $I_0$ and $I_1$. Recent approaches apply diffusion models (both image-based and video-based) in this task and achieve strong performance. However, image-based diffusion models are unable to extract temporal information and are relatively inefficient compared to non-diffusi…

Optimal alignment of Lorentz orientation and generalization to matrix Lie groups
Congzhou M Sha
https://arxiv.org/abs/2506.14994 https://

Optimal alignment of Lorentz orientation and generalization to matrix Lie groups
There exist elegant methods of aligning point clouds in $\mathbb R^3$. Unfortunately, these methods rely on the positive definite property of the Euclidean metric, and do not easily extend to the indefinite Minkowski metric. In this paper, we propose two solutions to the following problem: given inertial reference frames $A$ and $B$, and given (possibly noisy) measurements of a set of 4-vectors $\{v_i\}$ made in those reference frames with components $\{v_{A,i}\}$ and $\{v_{B,i}\}$, find the op…

excellent analysis of covid state of play
From Julia Doubleday.
"Each time a new wave crops up, the media scrambles to let the public know that COVID is spreading “again” ... But each time, it fails to inform the public that nearly half of COVID cases are asymptomatic, that COVID looks different in different patients, that vaccines do not prevent infections, that rapid tests have high false negative rates, and that COVID is fully airborne.
"Taken together, the virus I’m describing is much more difficult to control than the one the press presents. The press frames the virus as something that can be halted by familiarizing yourself with the symptoms, staying home once you feel sick and test positive, and avoided altogether by simply getting vaccinated or keeping ones’ distance from sick people. ...
"The misinformation that reigns in liberal spaces is not the result of accidental miscommunication. People don’t know that the virus is asymptomatic 40% of the time because there is simply no universe where that virus is controllable without an elimination strategy, or a day-to-day mitigation strategy."
#covid #misinformation #denial #CovidIsAirborne

CODS : A Theoretical Model for Computational Design Based on Design Space
Nan Cao, Xiaoyu Qi, Chuer Chen, Xiaoke Yan
https://arxiv.org/abs/2506.18455 https…

CODS : A Theoretical Model for Computational Design Based on Design Space
We introduce CODS (Computational Optimization in Design Space), a theoretical model that frames computational design as a constrained optimization problem over a structured, multi-dimensional design space. Unlike existing methods that rely on handcrafted heuristics or domain-specific rules, CODS provides a generalizable and interpretable framework that supports diverse design tasks. Given a user requirement and a well-defined design space, CODS automatically derives soft and hard constraints us…

https://mastodon.social/@noybeu/114693494985013191

Some functor calculus on semirings
Pronay Biswas, Amartya Goswami, Sujit Kumar Sardar
https://arxiv.org/abs/2506.13378 https://arxiv.…

Some functor calculus on semirings
We develop a functorial framework for the ideal theory of commutative semirings using coherent frames and spectral spaces. Two central constructions-the radical ideal functor and the $k$-radical ideal functor-are shown to yield coherent frames, with the latter forming a dense sublocale of the former. We define a natural transformation between these functors and analyze their categorical and topological properties. Further, we introduce a notion of support that assigns to each semiring a bound…

Large effects from quantum reference frames
Martin Bojowald, Luis Martinez
https://arxiv.org/abs/2506.14721 https://arxiv.org/pdf/250…

Large effects from quantum reference frames
Reference frames are used to parameterize measurements of physical effects, but since their practical realization uses material objects, they may affect observations performed in a combined quantum state of the measured system together with the frame. Here, a procedure is used that makes it possible to describe non-monotonic reference scales in a quantum treatment, revealing large quantum effects in the measured system whenever a reference frame encounters a turning point. Subtle quantum correl…

RefTok: Reference-Based Tokenization for Video Generation
Xiang Fan, Xiaohang Sun, Kushan Thakkar, Zhu Liu, Vimal Bhat, Ranjay Krishna, Xiang Hao
https://arxiv.org/abs/2507.02862 …

RefTok: Reference-Based Tokenization for Video Generation
Effectively handling temporal redundancy remains a key challenge in learning video models. Prevailing approaches often treat each set of frames independently, failing to effectively capture the temporal dependencies and redundancies inherent in videos. To address this limitation, we introduce RefTok, a novel reference-based tokenization method capable of capturing complex temporal dynamics and contextual information. Our method encodes and decodes sets of frames conditioned on an unquantized re…

Enhancing Multi-Exposure High Dynamic Range Imaging with Overlapped Codebook for Improved Representation Learning
Keuntek Lee, Jaehyun Park, Nam Ik Cho
https://arxiv.org/abs/2507.01588

Enhancing Multi-Exposure High Dynamic Range Imaging with Overlapped Codebook for Improved Representation Learning
High dynamic range (HDR) imaging technique aims to create realistic HDR images from low dynamic range (LDR) inputs. Specifically, Multi-exposure HDR imaging uses multiple LDR frames taken from the same scene to improve reconstruction performance. However, there are often discrepancies in motion among the frames, and different exposure settings for each capture can lead to saturated regions. In this work, we first propose an Overlapped codebook (OLC) scheme, which can improve the capability of t…

Object-centric 3D Motion Field for Robot Learning from Human Videos
Zhao-Heng Yin, Sherry Yang, Pieter Abbeel
https://arxiv.org/abs/2506.04227 https://

Object-centric 3D Motion Field for Robot Learning from Human Videos
Learning robot control policies from human videos is a promising direction for scaling up robot learning. However, how to extract action knowledge (or action representations) from videos for policy learning remains a key challenge. Existing action representations such as video frames, pixelflow, and pointcloud flow have inherent limitations such as modeling complexity or loss of information. In this paper, we propose to use object-centric 3D motion field to represent actions for robot learning …

Discretization of Continuous Frames by Quasi-Monte Carlo Methods
Jan Zimmermann, Andreas Klotz, Nicki Holighaus
https://arxiv.org/abs/2507.00618 https://…

Discretization of Continuous Frames by Quasi-Monte Carlo Methods
We introduce a discretization scheme for continuous localized frames using quasi-Monte Carlo integration and discrepancy theory. By generalizing classical concepts, we define a discrepancy measure on the entire phase space $\mathbb{R}^2$ and establish a corresponding Koksma-Hlawka inequality. This approach enables control over the density of the discretized frame and ensures the universality of the sampling set, relying only on the discrepancy of the sampling set and on the Sobolev-type seminor…

Inverse Design in Nanophotonics via Representation Learning
Reza Marzban, Ali Adibi, Raphael Pestourie
https://arxiv.org/abs/2507.00546 https://

Inverse Design in Nanophotonics via Representation Learning
Inverse design in nanophotonics, the computational discovery of structures achieving targeted electromagnetic (EM) responses, has become a key tool for recent optical advances. Traditional intuition-driven or iterative optimization methods struggle with the inherently high-dimensional, non-convex design spaces and the substantial computational demands of EM simulations. Recently, machine learning (ML) has emerged to address these bottlenecks effectively. This review frames ML-enhanced inverse d…

A novel fast short-time root music method for vibration monitoring of high-speed spindles
Huiguang Zhang, Baoguo Liu, Wei Feng, Zongtang Li
https://arxiv.org/abs/2506.17600

A novel fast short-time root music method for vibration monitoring of high-speed spindles
Ultra-high-speed spindle bearings challenge traditional vibration monitoring due to broadband noise, non-stationarity, and limited time-frequency resolution. We present a fast Short-Time Root-MUSIC (fSTrM) algorithm that exploits FFT-accelerated Lanczos bidiagonalization to reduce computational complexity from $\mathcal{O}(N^3)$ to $SN\log_2N+S^2(N+S)+M^2(N+M)$ while preserving parametric super-resolution. The method constructs Hankel matrices from 16 ms signal frames and extracts fault fre…

This https://arxiv.org/abs/2506.02774 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csGR_…

Voyager: Real-Time Splatting City-Scale 3D Gaussians on Your Phone
3D Gaussian Splatting (3DGS) is an emerging technique for photorealistic 3D scene rendering. However, rendering city-scale 3DGS scenes on mobile devices, e.g., your smartphones, remains a significant challenge due to the limited resources on mobile devices. A natural solution is to offload computation to the cloud; however, naively streaming rendered frames from the cloud to the client introduces high latency and requires bandwidth far beyond the capacity of current wireless networks. In this…

Gravitational memory effects in Tachyon gravity
Pouneh Safarzadeh Ilkhchi, Amin Rezaei Akbarieh, Ali Seraj
https://arxiv.org/abs/2507.01879 https://…

Gravitational memory effects in Tachyon gravity
In this paper, we explore how a massless Tachyon field, when non-minimally coupled to gravity, affects gravitational memory, soft theorems, and symmetries near null infinity. We set up the model using both the Jordan and Einstein frames, work out the equations of motion and study the behavior of fields at large distances with the Bondi-Sachs gauge. The Tachyon adds a ``breathing'' polarization mode to the gravitational radiation, which modifies the Bondi mass loss formula and leaves a trace in …

IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generation
Yuanze Lin, Yi-Wen Chen, Yi-Hsuan Tsai, Ronald Clark, Ming-Hsuan Yang
https://arxiv.org/abs/2506.03150

IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generation
Although diffusion-based models can generate high-quality and high-resolution video sequences from textual or image inputs, they lack explicit integration of geometric cues when controlling scene lighting and visual appearance across frames. To address this limitation, we propose IllumiCraft, an end-to-end diffusion framework accepting three complementary inputs: (1) high-dynamic-range (HDR) video maps for detailed lighting control; (2) synthetically relit frames with randomized illumination ch…

d-Boolean algebras and their bitopological representation
Hang Yang, Dexue Zhang
https://arxiv.org/abs/2505.17806 https://arxiv.org/p…

d-Boolean algebras and their bitopological representation
We present a Stone duality for bitopological spaces in analogy to the duality between Stone spaces and Boolean algebras, in the same vein as the duality between d-sober bitopological spaces and spatial d-frames established by Jung and Moshier. Precisely, we introduce the notion of d-Boolean algebras and prove that the category of such algebras is dually equivalent to the category of Stone bitopological spaces, which are compact and zero-dimensional bitopological spaces satisfying the T0 separat…

#Framed 1178
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Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[10/11]:
- FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answ...
Chengyue Huang, Brisa Maneechotesuwan, Shivang Chopra, Zsolt Kira

Localized frames without inequalities
Peter Balazs, Lukas K\"ohldorfer, Michael Speckbacher
https://arxiv.org/abs/2506.02862 https://

Localized frames without inequalities
We consider countable families of vectors in a separable Hilbert space, which are mutually localized with respect to a fixed localized Riesz basis. We prove the equivalence of the frame property and nine conditions that do not involve any inequalities. This is done by studying the properties of their frame-related operators on the co-orbit spaces generated by the reference Riesz basis. We apply our main result to the setting of shift-invariant spaces and obtain new conditions for stable sets of…

Rethinking LLM Training through Information Geometry and Quantum Metrics
Riccardo Di Sipio
https://arxiv.org/abs/2506.15830 https://a…

Rethinking LLM Training through Information Geometry and Quantum Metrics
Optimization in large language models (LLMs) unfolds over high-dimensional parameter spaces with non-Euclidean structure. Information geometry frames this landscape using the Fisher information metric, enabling more principled learning via natural gradient descent. Though often impractical, this geometric lens clarifies phenomena such as sharp minima, generalization, and observed scaling laws. We argue that curvature-aware approaches deepen our understanding of LLM training. Finally, we specula…

Moment Sampling in Video LLMs for Long-Form Video QA
Mustafa Chasmai, Gauri Jagatap, Gouthaman KV, Grant Van Horn, Subhransu Maji, Andrea Fanelli
https://arxiv.org/abs/2507.00033 …

Moment Sampling in Video LLMs for Long-Form Video QA
Recent advancements in video large language models (Video LLMs) have significantly advanced the field of video question answering (VideoQA). While existing methods perform well on short videos, they often struggle with long-range reasoning in longer videos. To scale Video LLMs for longer video content, frame sub-sampling (selecting frames at regular intervals) is commonly used. However, this approach is suboptimal, often leading to the loss of crucial frames or the inclusion of redundant inform…

Diffusion Buffer: Online Diffusion-based Speech Enhancement with Sub-Second Latency
Bunlong Lay, Rostilav Makarov, Timo Gerkmann
https://arxiv.org/abs/2506.02908

Diffusion Buffer: Online Diffusion-based Speech Enhancement with Sub-Second Latency
Diffusion models are a class of generative models that have been recently used for speech enhancement with remarkable success but are computationally expensive at inference time. Therefore, these models are impractical for processing streaming data in real-time. In this work, we adapt a sliding window diffusion framework to the speech enhancement task. Our approach progressively corrupts speech signals through time, assigning more noise to frames close to the present in a buffer. This approach …

This https://arxiv.org/abs/2405.20032 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNI_…

Promptus: Can Prompts Streaming Replace Video Streaming with Stable Diffusion
With the exponential growth of video traffic, traditional video streaming systems are approaching their limits in compression efficiency and communication capacity. To further reduce bitrate while maintaining quality, we propose Promptus, a disruptive semantic communication system that streaming prompts instead of video content, which represents real-world video frames with a series of "prompts" for delivery and employs Stable Diffusion to generate videos at the receiver. To ensure that the gen…

Voyager: Real-Time Splatting City-Scale 3D Gaussians on Your Phone
Zheng Liu, He Zhu, Xinyang Li, Yirun Wang, Yujiao Shi, Wei Li, Jingwen Leng, Minyi Guo, Yu Feng
https://arxiv.org/abs/2506.02774

Voyager: Real-Time Splatting City-Scale 3D Gaussians on Your Phone
3D Gaussian Splatting (3DGS) is an emerging technique for photorealistic 3D scene rendering. However, rendering city-scale 3DGS scenes on mobile devices, e.g., your smartphones, remains a significant challenge due to the limited resources on mobile devices. A natural solution is to offload computation to the cloud; however, naively streaming rendered frames from the cloud to the client introduces high latency and requires bandwidth far beyond the capacity of current wireless networks. In this…

Sampling Finite Unit Norm Tight Frames Using Symplectic Geometry
Mason Faldet, Clayton Shonkwiler
https://arxiv.org/abs/2505.22847 https://

Sampling Finite Unit Norm Tight Frames Using Symplectic Geometry
Unit-norm tight frames in finite-dimensional Hilbert spaces (FUNTFs) are fundamental in signal processing, offering optimal robustness to noise and measurement loss. In this paper we introduce the Eigenlift algorithm for sampling random FUNTFs. Our approach exploits the symplectic geometry of the FUNTF space, which we characterize as a symplectic reduction of frame space by a symmetry group. We then define a Hamiltonian torus action on this reduced space whose momentum map induces a fiber bundl…

A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging
Xuanru Zhou, Jiarun Liu, Shoujun Yu, Hao Yang, Cheng Li, Tao Tan, Shanshan Wang
https://arxiv.org/abs/2506.04116

A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging
In medical imaging, 4D MRI enables dynamic 3D visualization, yet the trade-off between spatial and temporal resolution requires prolonged scan time that can compromise temporal fidelity--especially during rapid, large-amplitude motion. Traditional approaches typically rely on registration-based interpolation to generate intermediate frames. However, these methods struggle with large deformations, resulting in misregistration, artifacts, and diminished spatial consistency. To address these chall…

Superluminal Quantum Reference Frames
Amrapali Sen, Matthias Salzger, {\L}ukasz Rudnicki
https://arxiv.org/abs/2506.11787 https://arx…

Superluminal Quantum Reference Frames
While particles cannot travel faster than the speed of light, nor can information, this assumption has over the years been frequently questioned. Most recently, it has been argued [New J. Phys. 22, 033038 (2020)] that in a world with superluminal observers local determinism is impossible, linking the two pillars of physics-quantum theory and relativity-suggesting that the latter serves as the foundation for the former. Motivated by this approach, in this work, we extend the framework of quantum…

This https://arxiv.org/abs/2410.03475 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Noncommutative metric geometry of quantum circle bundles
In this paper we investigate quantum circle bundles from the point of view of compact quantum metric spaces. The raw input data is a circle action on a unital $C^*$-algebra together with a quantum metric of spectral geometric origin on the fixed point algebra. Under a few extra conditions on the spectral subspaces we show that the spectral geometric data on the base algebra can be lifted to the total algebra. Notably, the lifted spectral geometry is independent of the choice of frames and is pe…

Frame-Level Real-Time Assessment of Stroke Rehabilitation Exercises from Video-Level Labeled Data: Task-Specific vs. Foundation Models
Gon\c{c}alo Mesquita, Ana Rita C\'oias, Artur Dubrawski, Alexandre Bernardino
https://arxiv.org/abs/2506.03752

Frame-Level Real-Time Assessment of Stroke Rehabilitation Exercises from Video-Level Labeled Data: Task-Specific vs. Foundation Models
The growing demands of stroke rehabilitation have increased the need for solutions to support autonomous exercising. Virtual coaches can provide real-time exercise feedback from video data, helping patients improve motor function and keep engagement. However, training real-time motion analysis systems demands frame-level annotations, which are time-consuming and costly to obtain. In this work, we present a framework that learns to classify individual frames from video-level annotations for real…

Explainable speech emotion recognition through attentive pooling: insights from attention-based temporal localization
Tahitoa Leygue (DIASI), Astrid Sabourin (DIASI), Christian Bolzmacher (DIASI), Sylvain Bouchigny (DIASI), Margarita Anastassova (DIASI), Quoc-Cuong Pham (DIASI)
https://arxiv.org/abs/2506.15754

Explainable speech emotion recognition through attentive pooling: insights from attention-based temporal localization
State-of-the-art transformer models for Speech Emotion Recognition (SER) rely on temporal feature aggregation, yet advanced pooling methods remain underexplored. We systematically benchmark pooling strategies, including Multi-Query Multi-Head Attentive Statistics Pooling, which achieves a 3.5 percentage point macro F1 gain over average pooling. Attention analysis shows 15 percent of frames capture 80 percent of emotion cues, revealing a localized pattern of emotional information. Analysis of hi…

#Framed 1199
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https://framed.wtf

Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory
Yuqi Wu, Wenzhao Zheng, Jie Zhou, Jiwen Lu
https://arxiv.org/abs/2507.02863 https…

Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory
Dense 3D scene reconstruction from an ordered sequence or unordered image collections is a critical step when bringing research in computer vision into practical scenarios. Following the paradigm introduced by DUSt3R, which unifies an image pair densely into a shared coordinate system, subsequent methods maintain an implicit memory to achieve dense 3D reconstruction from more images. However, such implicit memory is limited in capacity and may suffer from information loss of earlier frames. We …

This https://arxiv.org/abs/2503.24170 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Localization of operator-valued frames
We introduce a localization concept for operator-valued frames, where the quality of localization is measured by the associated operator-valued Gram matrix belonging to some suitable Banach algebra. We prove that intrinsic localization of an operator-valued frame is preserved by its canonical dual. Moreover, we show that the series associated to the perfect reconstruction of an operator-valued frame converges not only in the underlying Hilbert space, but also in a whole class of associated (qua…

#Framed 1196
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https://framed.wtf

STDR: Spatio-Temporal Decoupling for Real-Time Dynamic Scene Rendering
Zehao Li, Hao Jiang, Yujun Cai, Jianing Chen, Baolong Bi, Shuqin Gao, Honglong Zhao, Yiwei Wang, Tianlu Mao, Zhaoqi Wang
https://arxiv.org/abs/2505.22400

STDR: Spatio-Temporal Decoupling for Real-Time Dynamic Scene Rendering
Although dynamic scene reconstruction has long been a fundamental challenge in 3D vision, the recent emergence of 3D Gaussian Splatting (3DGS) offers a promising direction by enabling high-quality, real-time rendering through explicit Gaussian primitives. However, existing 3DGS-based methods for dynamic reconstruction often suffer from \textit{spatio-temporal incoherence} during initialization, where canonical Gaussians are constructed by aggregating observations from multiple frames without te…

Sensor Model Identification via Simultaneous Model Selection and State Variable Determination
Christian Brommer, Alessandro Fornasier, Jan Steinbrener, Stephan Weiss
https://arxiv.org/abs/2506.11263

Sensor Model Identification via Simultaneous Model Selection and State Variable Determination
We present a method for the unattended gray-box identification of sensor models commonly used by localization algorithms in the field of robotics. The objective is to determine the most likely sensor model for a time series of unknown measurement data, given an extendable catalog of predefined sensor models. Sensor model definitions may require states for rigid-body calibrations and dedicated reference frames to replicate a measurement based on the robot's localization state. A health metric is…

Approximation properties and quantitative estimation for uniform ball-covering property of operator spaces
Qiyao Bao, Rui Liu, Jie Shen
https://arxiv.org/abs/2507.02261

Approximation properties and quantitative estimation for uniform ball-covering property of operator spaces
In this paper, by dilation technique on Schauder frames, we extend Godefroy and Kalton's approximation theorem (1997), and obtain that a separable Banach space has the $λ$-unconditional bounded approximation property ($λ$-UBAP) if and only if, for any $\varepsilon>0$, it can be embeded into a $(λ+\varepsilon)$-complemented subspace of a Banach space with an $1$-unconditional finite-dimensional decomposition ($1$-UFDD). As applications on ball-covering property (BCP) (Cheng, 2006) of operator…

Lightweight Multi-Frame Integration for Robust YOLO Object Detection in Videos
Yitong Quan, Benjamin Kiefer, Martin Messmer, Andreas Zell
https://arxiv.org/abs/2506.20550

Lightweight Multi-Frame Integration for Robust YOLO Object Detection in Videos
Modern image-based object detection models, such as YOLOv7, primarily process individual frames independently, thus ignoring valuable temporal context naturally present in videos. Meanwhile, existing video-based detection methods often introduce complex temporal modules, significantly increasing model size and computational complexity. In practical applications such as surveillance and autonomous driving, transient challenges including motion blur, occlusions, and abrupt appearance changes can …

#Framed 1164
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#Framed 1190
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ViSTA: Visual Storytelling using Multi-modal Adapters for Text-to-Image Diffusion Models
Sibo Dong, Ismail Shaheen, Maggie Shen, Rupayan Mallick, Sarah Adel Bargal
https://arxiv.org/abs/2506.12198

ViSTA: Visual Storytelling using Multi-modal Adapters for Text-to-Image Diffusion Models
Text-to-image diffusion models have achieved remarkable success, yet generating coherent image sequences for visual storytelling remains challenging. A key challenge is effectively leveraging all previous text-image pairs, referred to as history text-image pairs, which provide contextual information for maintaining consistency across frames. Existing auto-regressive methods condition on all past image-text pairs but require extensive training, while training-free subject-specific approaches ens…