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Crosslisted article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[1/1]:
- 3D Reconstruction of Coronary Vessel Trees from Biplanar X-Ray Images Using a Geometric Approach
Ethan Koland, Lin Xi, Nadeev Wijesuriya, YingLiang Ma

Talk Less, Fly Lighter: Autonomous Semantic Compression for UAV Swarm Communication via LLMs
Fei Lin, Tengchao Zhang, Qinghua Ni, Jun Huang, Siji Ma, Yonglin Tian, Yisheng Lv, Naiqi Wu
https://arxiv.org/abs/2508.12043

Talk Less, Fly Lighter: Autonomous Semantic Compression for UAV Swarm Communication via LLMs
The rapid adoption of Large Language Models (LLMs) in unmanned systems has significantly enhanced the semantic understanding and autonomous task execution capabilities of Unmanned Aerial Vehicle (UAV) swarms. However, limited communication bandwidth and the need for high-frequency interactions pose severe challenges to semantic information transmission within the swarm. This paper explores the feasibility of LLM-driven UAV swarms for autonomous semantic compression communication, aiming to redu…

Real Time Child Abduction And Detection System
Tadisetty Sai Yashwanth, Yangalasetty Sruthi Royal, Vankayala Rajeshwari Shreya, Mayank Kashyap, Divyaprabha K N
https://arxiv.org/abs/2508.11690

Real Time Child Abduction And Detection System
Child safety continues to be a paramount concern worldwide, with child abduction posing significant threats to communities. This paper presents the development of an edge-based child abduction detection and alert system utilizing a multi-agent framework where each agent incorporates Vision-Language Models (VLMs) deployed on a Raspberry Pi. Leveraging the advanced capabilities of VLMs within individual agents of a multi-agent team, our system is trained to accurately detect and interpret complex…

3D Reconstruction of Coronary Vessel Trees from Biplanar X-Ray Images Using a Geometric Approach
Ethan Koland, Lin Xi, Nadeev Wijesuriya, YingLiang Ma
https://arxiv.org/abs/2509.13358

3D Reconstruction of Coronary Vessel Trees from Biplanar X-Ray Images Using a Geometric Approach
X-ray angiography is widely used in cardiac interventions to visualize coronary vessels, assess integrity, detect stenoses and guide treatment. We propose a framework for reconstructing 3D vessel trees from biplanar X-ray images which are extracted from two X-ray videos captured at different C-arm angles. The proposed framework consists of three main components: image segmentation, motion phase matching, and 3D reconstruction. An automatic video segmentation method for X-ray angiography to enab…

Data-Driven Contextual Optimization with Gaussian Mixtures: Flow-Based Generalization, Robust Models, and Multistage Extensions
YoungChul Yoon, Grani A. Hanasusanto, Yijie Wang
https://arxiv.org/abs/2509.14557

Data-Driven Contextual Optimization with Gaussian Mixtures: Flow-Based Generalization, Robust Models, and Multistage Extensions
Contextual optimization enhances decision quality by leveraging side information to improve predictions of uncertain parameters. However, existing approaches face significant challenges when dealing with multimodal or mixtures of distributions. The inherent complexity of such structures often precludes an explicit functional relationship between the contextual information and the uncertain parameters, limiting the direct applicability of parametric models. Conversely, while non-parametric model…

Bridging Control Variates and Regression Adjustment in A/B Testing: From Design-Based to Model-Based Frameworks
Yu Zhang, Bokui Wan, Yongli Qin
https://arxiv.org/abs/2509.13944 …

Bridging Control Variates and Regression Adjustment in A/B Testing: From Design-Based to Model-Based Frameworks
A B testing serves as the gold standard for large scale, data driven decision making in online businesses. To mitigate metric variability and enhance testing sensitivity, control variates and regression adjustment have emerged as prominent variance reduction techniques, leveraging pre experiment data to improve estimator performance. Over the past decade, these methods have spawned numerous derivatives, yet their theoretical connections and comparative properties remain underexplored. In this p…

Bridging Molecular Simulation and Process Modeling for Predictive Multicomponent Adsorption
Sunghyun Yoon, Jui Tu, Li-Chiang Lin, Yongchul G. Chung
https://arxiv.org/abs/2508.12200

Bridging Molecular Simulation and Process Modeling for Predictive Multicomponent Adsorption
Accurate and efficient prediction of multicomponent adsorption equilibria across pressures, temperatures, and compositions remain a central challenge for designing energy-efficient adsorption-based separation processes. Traditional approaches, including model fitting and ideal adsorbed solution theory (IAST), often fail to balance accuracy, computational efficiency, and transferability under process-relevant conditions. Here, we introduce a material-to-process modeling framework that integrates…

Invariant subalgebras rigidity for von Neumann algebras of groups arising as certain semidirect products
Tattwamasi Amrutam, Artem Dudko, Yongle Jiang, Adam Skalski
https://arxiv.org/abs/2507.12824

Invariant subalgebras rigidity for von Neumann algebras of groups arising as certain semidirect products
We study the ISR (von Neumann invariant subalgebra rigidity) property for certain discrete groups arising as semidirect products from algebraic actions on certain 2-torsion groups, mostly arising as direct products of $\mathbb{Z}_2$. We present, in particular, the first example of an amenable group with the ISR property that admits a non-trivial abelian normal subgroup. Several other examples are discussed, notably including an infinite amenable group whose von Neumann algebra admits precisely …

みんな大好き怪しい SMS。本当に鬱陶しいぜ。
https://x.com/YaoyuanXiaLei/status/1955957996980425075

遙遠夏雷 (@YaoyuanXiaLei) on X
みんな大好き怪しい SMS。ガリバーなんか使ったことねーよ。携帯電話の時代からずーっとこんなことしてる。何が配信停止だ。そもそもメッセージ送ってくるなバカタレ。 @car_gulliver

ドトールコーヒーショップに "本日のコーヒー" ってあったんだ。知らなかった。今日はゲイシャだって。