Tootfinder

RELATE: Subjective evaluation dataset for automatic evaluation of relevance between text and audio
Yusuke Kanamori, Yuki Okamoto, Taisei Takano, Shinnosuke Takamichi, Yuki Saito, Hiroshi Saruwatari
https://arxiv.org/abs/2506.23582

RELATE: Subjective evaluation dataset for automatic evaluation of relevance between text and audio
In text-to-audio (TTA) research, the relevance between input text and output audio is an important evaluation aspect. Traditionally, it has been evaluated from both subjective and objective perspectives. However, subjective evaluation is costly in terms of money and time, and objective evaluation is unclear regarding the correlation to subjective evaluation scores. In this study, we construct RELATE, an open-sourced dataset that subjectively evaluates the relevance. Also, we benchmark a model f…

VRISE: A Virtual Reality Platfrom for Immersive and Interactive Surveying Education
Daniel Udekwe (Vivian), Dimitrios Bolkas (Vivian), Eren Erman Ozguven (Vivian), Ren Moses (Vivian), Qianwen (Vivian), Guo
https://arxiv.org/abs/2507.22810

VRISE: A Virtual Reality Platfrom for Immersive and Interactive Surveying Education
Surveying is a core component of civil engineering education, requiring students to engage in hands-on spatial measurement, instrumentation handling, and field-based decision-making. However, traditional instruction often poses logistical and cognitive challenges that can hinder accessibility and student engagement. While virtual laboratories have gained traction in engineering education, few are purposefully designed to support flexible, adaptive learning in surveying. To address this gap, we …

Stereo 3D Gaussian Splatting SLAM for Outdoor Urban Scenes
Xiaohan Li, Ziren Gong, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Dong Liu, Jun Wu
https://arxiv.org/abs/2507.23677

Stereo 3D Gaussian Splatting SLAM for Outdoor Urban Scenes
3D Gaussian Splatting (3DGS) has recently gained popularity in SLAM applications due to its fast rendering and high-fidelity representation. However, existing 3DGS-SLAM systems have predominantly focused on indoor environments and relied on active depth sensors, leaving a gap for large-scale outdoor applications. We present BGS-SLAM, the first binocular 3D Gaussian Splatting SLAM system designed for outdoor scenarios. Our approach uses only RGB stereo pairs without requiring LiDAR or active sen…

Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions
Yiting Qu, Ziqing Yang, Yihan Ma, Michael Backes, Savvas Zannettou, Yang Zhang
https://arxiv.org/abs/2507.22617

Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions
Recent advances in text-to-image diffusion models have enabled the creation of a new form of digital art: optical illusions--visual tricks that create different perceptions of reality. However, adversaries may misuse such techniques to generate hateful illusions, which embed specific hate messages into harmless scenes and disseminate them across web communities. In this work, we take the first step toward investigating the risks of scalable hateful illusion generation and the potential for bypa…

UnMix-NeRF: Spectral Unmixing Meets Neural Radiance Fields
Fabian Perez, Sara Rojas, Carlos Hinojosa, Hoover Rueda-Chac\'on, Bernard Ghanem
https://arxiv.org/abs/2506.21884

UnMix-NeRF: Spectral Unmixing Meets Neural Radiance Fields
Neural Radiance Field (NeRF)-based segmentation methods focus on object semantics and rely solely on RGB data, lacking intrinsic material properties. This limitation restricts accurate material perception, which is crucial for robotics, augmented reality, simulation, and other applications. We introduce UnMix-NeRF, a framework that integrates spectral unmixing into NeRF, enabling joint hyperspectral novel view synthesis and unsupervised material segmentation. Our method models spectral reflecta…

(World) Building Transformation: Students and Teachers as CoCreators in OpenXR Learning Environments
Abigail Greenbaum, Elizabeth Strickler, Victoria Patterson, Bolu Oluleye
https://arxiv.org/abs/2506.22988

(World) Building Transformation: Students and Teachers as CoCreators in OpenXR Learning Environments
Emerging extended reality (XR) tools and platforms offer an exciting opportunity to align learning experiences in higher education with the futures in which students will pursue their goals. However, the dynamic nature of XR as subject matter challenges hierarchies and classroom practices typical of higher education. This instructional design practice paper reflects on how our team of faculty, learning experience designers, and user experience (UX) researchers implemented human-centered design …

Axioms for Model Fidelity Evaluation
Evan Taylor, Edward Louis, Gregory Mocko
https://arxiv.org/abs/2507.23020 https://arxiv.org/pdf/2507.23020

Axioms for Model Fidelity Evaluation
Digital engineering has transformed the design and development process. However, the utility of digital engineering is fundamentally dependent on the assumption that a simulation provides information consistent with reality. This relationship is described as model fidelity. Despite the widespread use of the term, existing definitions of model fidelity often lack formal rigor in practical application, which leaves ambiguity in how this similarity should be evaluated. This paper presents seven fu…

Design and Evaluation of IEEE 802.11ax Uplink Orthogonal Frequency Division Multiple Random Access in ns-3
Douglas Dziedzorm Agbeve, Andrey Belogaev, Jeroen Famaey
https://arxiv.org/abs/2506.22260

Design and Evaluation of IEEE 802.11ax Uplink Orthogonal Frequency Division Multiple Random Access in ns-3
Wi-Fi networks have long relied on the Enhanced Distributed Channel Access (EDCA) mechanism, allowing stations to compete for transmission opportunities. However, as networks become denser and emerging applications demand lower latency and higher reliability, the limitations of EDCA such as overhead due to contention and collisions have become more pronounced. To address these challenges, Orthogonal Frequency Division Multiple Access (OFDMA) has been introduced in Wi-Fi, enabling more efficient…

Identification of Design Recommendations for Augmented Reality Authors in Corporate Training
Stefan Graser, Martin Schrepp, Stephan B\"ohm
https://arxiv.org/abs/2507.21722 …

Identification of Design Recommendations for Augmented Reality Authors in Corporate Training
Innovative technologies, such as Augmented Reality (AR), introduce new interaction paradigms, demanding the identification of software requirements during the software development process. In general, design recommendations are related to this, supporting the design of applications positively and meeting stakeholder needs. However, current research lacks context-specific AR design recommendations. This study addresses this gap by identifying and analyzing practical AR design recommendations rel…

The Impact of Simple, Brief, and Adaptive Instructions within Virtual Reality Training: Components of Cognitive Load Theory in an Assembly Task
Rebecca L. Pharmer, Christopher D. Wickens, Lucas Plabst, Benjamin A. Clegg, Leanne M. Hirshfield, Joanna E. Lewis, Jalynn B. Nicoly, Cara A. Spencer, Francisco R. Ortega
https://arxiv.org/abs/2507…

The Impact of Simple, Brief, and Adaptive Instructions within Virtual Reality Training: Components of Cognitive Load Theory in an Assembly Task
Objective: The study examined the effects of varying all three core elements of cognitive load on learning efficiency during a shape assembly task in virtual reality (VR). Background: Adaptive training systems aim to improve learning efficiency and retention by dynamically adjusting difficulty. However, design choices can impact the cognitive workload imposed on the learner. The present experiments examined how aspects of cognitive load impact training outcomes. Method: Participants learned…