Papers Unity
“Unity” 태그가 달린 논문 378편 · 필터 해제
Analysis and Mitigation of Cascading Failures Using a Stochastic Interaction Graph with Eigen-analysis
In studies on complex network systems using graph theory, eigen-analysis is typically performed on an undirected graph model of the network. However, when analyzing cascading failures in a power system, the interactions …
UnityUnity RL Playground: A Versatile Reinforcement Learning Framework for Mobile Robots
This paper introduces Unity RL Playground, an open-source reinforcement learning framework built on top of Unity ML-Agents. Unity RL Playground automates the process of training mobile robots to perform various locomotio…
UnityOptimal and Robust Multivariable Reaching Time Sliding Mode Control Design
This paper addresses two minimum reaching time control problems within the context of finite stable systems. The well-known Variable Structure Control (VSC) and Unity Vector Control (UVC) strategies are analyzed, with th…
UnityA Study on the Matching Rate of Dance Movements Using 2D Skeleton Detection and 3D Pose Estimation: Why Is SEVENTEEN's Performance So Bita-Zoroi (Perfectly Synchronized)?
SEVENTEEN is a K-pop group with a large number of members 13 in total and the significant physical disparity between the tallest and shortest members among K-pop groups. However, despite their large numbers and physical …
3D Pose EstimationPose EstimationUnityWill Neural Scaling Laws Activate Jevons' Paradox in AI Labor Markets? A Time-Varying Elasticity of Substitution (VES) Analysis
We develop a formal economic framework to analyze whether neural scaling laws in artificial intelligence will activate Jevons' Paradox in labor markets, potentially leading to increased AI adoption and human labor substi…
UnityKnowledge representation and scalable abstract reasoning for simulated democracy in Unity
We present a novel form of scalable knowledge representation about agents in a simulated democracy, e-polis, where real users respond to social challenges associated with democratic institutions, structured as Smart Spat…
UnitySelf-Supervised Data Generation for Precision Agriculture: Blending Simulated Environments with Real Imagery
In precision agriculture, the scarcity of labeled data and significant covariate shifts pose unique challenges for training machine learning models. This scarcity is particularly problematic due to the dynamic nature of …
UnityA Complex-Valued Feedback Linearization-Based Controller for a Voltage Source Inverter Tied to the Grid via a Second-Order Filter
In this document, a nonlinear control law for a grid-tied converter is introduced. The converter topology consists of a voltage source inverter (VSI) linked to the grid through an inductive-capacitive second-order filter…
UnityContrast-Unity for Partially-Supervised Temporal Sentence Grounding
Temporal sentence grounding aims to detect event timestamps described by the natural language query from given untrimmed videos. The existing fully-supervised setting achieves great results but requires expensive annotat…
Contrastive LearningDenoisingSentenceTemporal Sentence Grounding+1IRIS: An Immersive Robot Interaction System
This paper introduces IRIS, an immersive Robot Interaction System leveraging Extended Reality (XR), designed for robot data collection and interaction across multiple simulators, benchmarks, and real-world scenarios. Whi…
MuJoCoUnityShuttle Between the Instructions and the Parameters of Large Language Models
The interaction with Large Language Models (LLMs) through instructions has been extensively investigated in the research community. While instructions have been widely used as the guidelines for task solving, this paper …
Dimensionality ReductionInstruction FollowingUnityPerception-Guided EEG Analysis: A Deep Learning Approach Inspired by Level of Detail (LOD) Theory
Objective: This study explores a novel deep learning approach for EEG analysis and perceptual state guidance, inspired by Level of Detail (LOD) theory. The goal is to improve perceptual state identification accuracy and …
EEGRhythmUnityUnity in Diversity: Video Editing via Gradient-Latent Purification
Recently, text-driven video editing methods that optimize target latent representations have garnered significant attention and demonstrated promising results. However, these methods rely on self-supervised objective…
DiversityUnityVideo EditingPOMP: Physics-consistent Motion Generative Model through Phase Manifolds
Numerous researches on real-time motion generation primarily focus on kinematic aspects, often resulting in physically implausible outcomes. In this paper, we present POMP ("\underline P hysics-c\underline O nsistent…
Motion GenerationUnityUnity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification
Person Re-identification (ReID) aims to retrieve the specific person across non-overlapping cameras, which greatly helps intelligent transportation systems. As we all know, Convolutional Neural Networks (CNNs) and Transf…
Person Re-IdentificationUnityA model for the dynamics of COVID-19 infection transmission in human with latent delay
In this research, we have derived a mathematical model for within human dynamics of COVID-19 infection using delay differential equations. The new model considers a 'latent period' and 'the time for immune response' as d…
Human DynamicsUnityOptimizing Sensor Redundancy in Sequential Decision-Making Problems
Reinforcement Learning (RL) policies are designed to predict actions based on current observations to maximize cumulative future rewards. In real-world applications (i.e., non-simulated environments), sensors are essenti…
Decision MakingOpenAI GymReinforcement Learning (RL)Sequential Decision Making+1A No-Reference Medical Image Quality Assessment Method Based on Automated Distortion Recognition Technology: Application to Preprocessing in MRI-guided Radiotherapy
Objective:To develop a no-reference image quality assessment method using automated distortion recognition to boost MRI-guided radiotherapy precision.Methods:We analyzed 106,000 MR images from 10 patients with liver meta…
DiagnosticImage Quality AssessmentNo-Reference Image Quality Assessmentparameter estimation+1HOLa: HoloLens Object Labeling
In the context of medical Augmented Reality (AR) applications, object tracking is a key challenge and requires a significant amount of annotation masks. As segmentation foundation models like the Segment Anything Model (…
ObjectObject TrackingUnityZero Shot SegmentationRisk-aware Classification via Uncertainty Quantification
Autonomous and semi-autonomous systems are using deep learning models to improve decision-making. However, deep classifiers can be overly confident in their incorrect predictions, a major issue especially in safety-criti…
ClassificationDecision MakingDeep LearningUncertainty Quantification+1