3447 papers
This study investigates how varying degrees of interactivity in mobile augmented reality applications influence both user experience and social acceptability, revealing a complex relationship that necessitates a balanced design approach to ensure seamless integration into everyday social environments.
This study involving 22 volunteers found that the frequency of cheating during simulated online exams was identical between Virtual Reality and traditional laptop-based testing environments.
The paper introduces SVG-EAR, a parameter-free method that enhances sparse video generation in Diffusion Transformers by using semantic clustering for linear compensation and error-aware routing to selectively compute high-error blocks, thereby achieving significant speedups while maintaining generation fidelity.
This paper presents SurgCalib, a markerless, Gaussian Splatting-based framework that achieves accurate hand-eye calibration for the da Vinci surgical robot by refining kinematic estimates through a differentiable rendering pipeline, thereby overcoming cable-driven inaccuracies and avoiding the sterility issues associated with traditional fiducial markers.
This paper transforms the commercially available Inspire RH56DFX hand into a reliable research tool by introducing hardware characterization, a sim2real validated MuJoCo model for grasp planning, and a hybrid closed-loop speed-force controller, achieving significant performance improvements in peg-in-hole insertion and diverse object grasping tasks.
SkipGS is a plug-and-play method that accelerates 3D Gaussian Splatting training by adaptively skipping redundant backward passes during the post-densification phase based on view-specific loss statistics, achieving a 23.1% reduction in total training time without compromising reconstruction quality.
This paper proposes a novel diffusion-based framework that enhances Copy Detection Pattern authentication by integrating printer signatures and ControlNet to effectively distinguish genuine prints from high-quality counterfeits, outperforming traditional methods in generalization and accuracy.
This paper evaluates the capability of AI agents to generate functional microservices, finding that while they can produce maintainable code with high API contract adherence—particularly in clean-state scenarios—current limitations in consistency and the need for human oversight prevent fully autonomous generation.
This study of 70 older adults reveals that while high-agreeableness in LLM-based voice assistants generally enhances trust and likability, the preference for warmth over clarity shifts depending on the context (routine vs. emergency) and the user's own personality, highlighting the need for adaptive, personalized AI explanations.
This paper presents Lockbox, a Zero Trust architecture that ensures the secure processing of sensitive cloud workloads by enforcing strict isolation, least-privilege access, and end-to-end encryption, thereby enabling enterprises to safely leverage advanced capabilities like AI without compromising their security posture.
The paper presents ImpedanceDiffusion, a hierarchical framework that combines image-conditioned diffusion models for global path planning with reactive APF tracking and VLM-enhanced variable impedance control to enable safe, high-speed, and adaptive UAV swarm navigation in cluttered indoor environments without explicit map construction.
This paper examines the barriers faced by New Zealand researchers in attending software engineering conferences, such as high travel costs and scheduling misalignments, and proposes strategies like hybrid participation and governance reforms to foster more equitable global engagement.
This paper presents the first direct programming of FP64 tensor cores on NVIDIA GPUs to accelerate high-order finite element simulations within the MFEM library, achieving up to 2× performance and 83% energy efficiency gains while demonstrating near-perfect weak scaling across nearly 10,000 GPUs on the Alps exascale system.
This paper presents a novel hybrid framework that synergistically combines concolic execution, LLM-guided path prioritization, and deep learning to achieve provably sound and highly accurate detection of zero-day AI-generated malware, significantly outperforming conventional baselines on both standard and synthesized threat benchmarks.
This paper establishes that the spanning ratio of the directed -graph is exactly 5, thereby closing the previously known gap between 4 and 7 and providing the first tight bound for any directed -graph.
This paper presents a low-cost, untethered bimanual mobile manipulator built on the open-source XLeRobot platform with integrated NVIDIA Jetson Orin compute, featuring an optimized mechanical design and a specialized power topology to enable autonomous navigation and vision-based manipulation for under $1300.
The paper introduces SpectralDiff, a spectral-structured diffusion framework that leverages structured spectral perturbations and a full-product U-Net architecture to efficiently and effectively remove multi-directional rain streaks from single images.
This study analyzes 122,000 Reddit conversations to reveal that AI literacy in creative communities is primarily practice-driven and event-responsive, challenging top-down frameworks by showing how creators organically prioritize tool usage over ethical discourse except during major AI milestones.
This paper presents an enhanced dual-model YOLOv8 framework that integrates fire and smoke detection with proximity-based risk assessment to generate quantitative hazard scores and real-time situational awareness for engineering sites.
This paper presents a novel, annotation-free framework that leverages language models and vision-language reasoning to autonomously extract 3D UAV trajectories and classifications from Internet-scale videos, demonstrating that zero-shot transfer performance on anti-UAV tasks improves consistently with increased data volume without requiring target-domain training.