Papers Unity
“Unity” 태그가 달린 논문 378편 · 필터 해제
DeepGesture: A conversational gesture synthesis system based on emotions and semantics
Along with the explosion of large language models, improvements in speech synthesis, advancements in hardware, and the evolution of computer graphics, the current bottleneck in creating digital humans lies in generating …
Gesture GenerationMotion SynthesisSpeech SynthesisUnityGAMORA: A Gesture Articulated Meta Operative Robotic Arm for Hazardous Material Handling in Containment-Level Environments
The convergence of robotics and virtual reality (VR) has enabled safer and more efficient workflows in high-risk laboratory settings, particularly virology labs. As biohazard complexity increases, minimizing direct human…
Motion PlanningUnityVirologyDynamically Tunable Helical Antenna
Unmanned aerial FPV systems demand ultra-low latency, high-reliability communication links. At high speeds and in cluttered environments, Doppler shifts and rapid multipath changes can dramatically raise packet error rat…
UnityCzechLynx: A Dataset for Individual Identification and Pose Estimation of the Eurasian Lynx
We introduce CzechLynx, the first large-scale, open-access dataset for individual identification, 2D pose estimation, and instance segmentation of the Eurasian lynx (Lynx lynx). CzechLynx includes more than 30k camera tr…
2D Pose EstimationBenchmarkingInstance SegmentationPose Estimation+2Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter
This paper investigates the effects of setting the sampling frequency significantly higher than conventional guidelines in system identification. Although continuous-time identification methods resolve the numerical diff…
UnityHyperspectral Image Generation with Unmixing Guided Diffusion Model
Recently, hyperspectral image generation has received increasing attention, but existing generative models rely on conditional generation schemes, which limits the diversity of generated images. Diffusion models are popu…
Hyperspectral UnmixingImage GenerationmodelUnityK$^2$IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes
Kernel method-based intensity estimators, formulated within reproducing kernel Hilbert spaces (RKHSs), and classical kernel intensity estimators (KIEs) have been among the most easy-to-implement and feasible methods for …
Computational EfficiencyUnityFoundations of Top-$k$ Decoding For Language Models
Top-$k$ decoding is a widely used method for sampling from LLMs: at each token, only the largest $k$ next-token-probabilities are kept, and the next token is sampled after re-normalizing them to sum to unity. Top-$k$ and…
UnityA metapopulation model for the spread of cholera
We consider a metapopulation model of cholera describing explicitly the movement of individuals and contaminated water between locations as well as a simple vaccination mechanism. The global stability of the disease-free…
UnityAnalysis of COVID-19 Infection Dynamics: Extended SIR Model Approach
This paper presents a detailed mathematical investigation into the dynamics of COVID-19 infections through extended Susceptible-Infected-Recovered (SIR) and Susceptible-Exposed-Infected-Recovered (SEIR) epidemiological m…
UnityAI Approaches to Qualitative and Quantitative News Analytics on NATO Unity
The paper considers the use of GPT models with retrieval-augmented generation (RAG) for qualitative and quantitative analytics on NATO sentiments, NATO unity and NATO Article 5 trust opinion scores in different web sourc…
RAGRetrieval-augmented GenerationUnityMaximal Compatibility Matching for Preference-Aware Ride-Hailing Systems
This paper presents the Maximal Compatibility Matching (MCM) framework, a novel assignment strategy for ride-hailing systems that explicitly incorporates passenger comfort into the matching process. Traditional assignmen…
UnityA New HOPE: Domain-agnostic Automatic Evaluation of Text Chunking
Document chunking fundamentally impacts Retrieval-Augmented Generation (RAG) by determining how source materials are segmented before indexing. Despite evidence that Large Language Models (LLMs) are sensitive to the layo…
ChunkingRAGRetrieval-augmented GenerationUnityPrimality Testing via Circulant Matrix Eigenvalue Structure: A Novel Approach Using Cyclotomic Field Theory
This paper presents a novel primality test based on the eigenvalue structure of circulant matrices constructed from roots of unity. We prove that an integer $n > 2$ is prime if and only if the minimal polynomial of the c…
UnityObservability conditions for neural state-space models with eigenvalues and their roots of unity
We operate through the lens of ordinary differential equations and control theory to study the concept of observability in the context of neural state-space models and the Mamba architecture. We develop strategies to enf…
Computational EfficiencyMambaState Space ModelsUnityGSAC: Leveraging Gaussian Splatting for Photorealistic Avatar Creation with Unity Integration
Photorealistic avatars have become essential for immersive applications in virtual reality (VR) and augmented reality (AR), enabling lifelike interactions in areas such as training simulations, telemedicine, and virtual …
3DGSNeRFUnityHybrid Deep Learning Model to Estimate Cognitive Effort from fNIRS Signals in Educational Game Playing
This study estimates cognitive effort (CE) based on functional near-infrared spectroscopy (fNIRS) data and performance scores using a hybrid deep learning model. The estimation of CE enables educators to modify material …
UnityPallet Detection And Localisation From Synthetic Data
The global warehousing industry is experiencing rapid growth, with the market size projected to grow at an annual rate of 8.1% from 2024 to 2030 [Grand View Research, 2021]. This expansion has led to a surge in demand fo…
UnityData-Driven Approximation of Binary-State Network Reliability Function: Algorithm Selection and Reliability Thresholds for Large-Scale Systems
Network reliability assessment is pivotal for ensuring the robustness of modern infrastructure systems, from power grids to communication networks. While exact reliability computation for binary-state networks is NP-hard…
ARCComputational EfficiencyUnityOptimal Hybrid Transmit Beamforming for mm-Wave Integrated Sensing and Communication
A hybrid beamformer (HBF) is designed for integrated sensing and communication (ISAC)-aided millimeter wave (mmWave) systems. The ISAC base station (BS), relying on a limited number of radio frequency (RF) chains, suppor…
FairnessIntegrated sensing and communicationISACUnity