Papers Unity
“Unity” 태그가 달린 논문 378편 · 필터 해제
Data Integration Framework for Virtual Reality Enabled Digital Twins
Digital twins are becoming increasingly popular across many industries for real-time data streaming, processing, and visualization. They allow stakeholders to monitor, diagnose, and optimize assets. Emerging technologies…
Data IntegrationUnityDevelopment Of Impedance and Capacitance based Sensors for the Estimation of Adulterant Ingredients in Different Bio-Consumables
Electrical Impedance Spectroscopy (EIS) technique is found to be an excellent candidate for bio-sensing and food quality monitoring applications due to its rapid, robust, cost-effective and point-of-care approach. The pr…
UnityLearning from Synthetic Human Group Activities
The study of complex human interactions and group activities has become a focal point in human-centric computer vision. However progress in related tasks is often hindered by the challenges of obtaining large-scale l…
UnityA Novel Approach for Defect Detection of Wind Turbine Blade Using Virtual Reality and Deep Learning
Wind turbines are subjected to continuous rotational stresses and unusual external forces such as storms, lightning, strikes by flying objects, etc., which may cause defects in turbine blades. Hence, it requires a period…
Defect DetectionUnityA Tool for the Procedural Generation of Shaders using Interactive Evolutionary Algorithms
We present a tool for exploring the design space of shaders using an interactive evolutionary algorithm integrated with the Unity editor, a well-known commercial tool for video game development. Our framework leverages t…
Evolutionary AlgorithmsUnityMulti-scale direction-aware SAR object detection network via global information fusion
Deep learning has driven significant progress in object detection using Synthetic Aperture Radar (SAR) imagery. Existing methods, while achieving promising results, often struggle to effectively integrate local and globa…
object-detectionObject DetectionUnityGCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction
The past few years has witnessed the dominance of Graph Convolutional Networks (GCNs) over human motion prediction.Various styles of graph convolutions have been proposed, with each one meticulously designed and incorpor…
Human motion predictionHuman Pose Forecastingmotion predictionUnityExploring Large Language Models to Facilitate Variable Autonomy for Human-Robot Teaming
In a rapidly evolving digital landscape autonomous tools and robots are becoming commonplace. Recognizing the significance of this development, this paper explores the integration of Large Language Models (LLMs) like Gen…
UnityScalable Decentralized Cooperative Platoon using Multi-Agent Deep Reinforcement Learning
Cooperative autonomous driving plays a pivotal role in improving road capacity and safety within intelligent transportation systems, particularly through the deployment of autonomous vehicles on urban streets. By enablin…
Autonomous DrivingAutonomous VehiclesDeep Reinforcement Learningreinforcement-learning+2Resetting a fixed broken ELBO
Variational autoencoders (VAEs) are one class of generative probabilistic latent-variable models designed for inference based on known data. They balance reconstruction and regularizer terms. A variational approximation …
DisentanglementUnityAR Visualization System for Ship Detection and Recognition Based on AI
Augmented reality technology has been widely used in industrial design interaction, exhibition guide, information retrieval and other fields. The combination of artificial intelligence and augmented reality technology ha…
Information Retrievalobject-detectionObject DetectionRetrieval+1Neural-Integrated Meshfree (NIM) Method: A differentiable programming-based hybrid solver for computational mechanics
We present the neural-integrated meshfree (NIM) method, a differentiable programming-based hybrid meshfree approach within the field of computational mechanics. NIM seamlessly integrates traditional physics-based meshfre…
FormPhysics-informed machine learningUnityGRASP: A novel benchmark for evaluating language GRounding And Situated Physics understanding in multimodal language models
This paper presents GRASP, a novel benchmark to evaluate the language grounding and physical understanding capabilities of video-based multimodal large language models (LLMs). This evaluation is accomplished via a two-ti…
UnityDegree-Weighted DeGroot Learning
We examine belief formation in large stochastic networks under a degree-weighted DeGroot learning process. In many social settings, agents may place more trust in well-connected individuals or, conversely, discount their…
UnitySpace Narrative: Generating Images and 3D Scenes of Chinese Garden from Text using Deep Learning
The consistent mapping from poems to paintings is essential for the research and restoration of traditional Chinese gardens. But the lack of firsthand ma-terial is a great challenge to the reconstruction work. In this pa…
UnityReal-time Animation Generation and Control on Rigged Models via Large Language Models
We introduce a novel method for real-time animation control and generation on rigged models using natural language input. First, we embed a large language model (LLM) in Unity to output structured texts that can be parse…
Language ModelingLanguage ModellingLarge Language ModelUnityTime-based Mapping of Space Using Visual Motion Invariants
This paper focuses on visual motion-based invariants that result in a representation of 3D points in which the stationary environment remains invariant, ensuring shape constancy. This is achieved even as the images under…
Optical Flow EstimationUnityData-driven Invariance for Reference Governors
This paper presents a novel approach to synthesizing positive invariant sets for unmodeled nonlinear systems using direct data-driven techniques. The data-driven invariant sets are used to design a data-driven reference …
Autonomous DrivingUnityHumanoid Agents: Platform for Simulating Human-like Generative Agents
Just as computational simulations of atoms, molecules and cells have shaped the way we study the sciences, true-to-life simulations of human-like agents can be valuable tools for studying human behavior. We propose Human…
UnityDense Random Texture Detection using Beta Distribution Statistics
This note describes a method for detecting dense random texture using fully connected points sampled on image edges. An edge image is randomly sampled with points, the standard L2 distance is calculated between all conne…
Moving Object Detectionobject-detectionObject DetectionUnity