Papers Unity
“Unity” 태그가 달린 논문 378편 · 필터 해제
Effect of Simulated Space Conditions on functional Connectivity
Long duration spaceflight missions can affect the cognitive and behavioral activities of astronauts due to changes in gravity. The microgravity significantly impacts the central nervous system physiology which causes the…
EEGElectroencephalogram (EEG)Functional ConnectivityMotor Imagery+1Improving Object Detection by Modifying Synthetic Data with Explainable AI
Limited real-world data severely impacts model performance in many computer vision domains, particularly for samples that are underrepresented in training. Synthetically generated images are a promising solution, but 1) …
object-detectionObject DetectionUnityComparing Photorealism in Game Engines for Synthetic Maritime Computer Vision Datasets
Computer vision for real-world applications faces data acquisition challenges, including accessibility, high costs, difficulty in obtaining diversity in scenarios or environmental conditions. Synthetic data usage has sur…
DiversityObject RecognitionUnityLeveraging Virtual Reality and AI Tutoring for Language Learning: A Case Study of a Virtual Campus Environment with OpenAI GPT Integration with Unity 3D
This paper presents a new approach to multiple language learning, with Hindi the language to be learnt in our case, by using the integration of virtual reality environments and AI enabled tutoring systems using OpenAIs G…
Speech-to-Texttext-to-speechText to SpeechUnityA Monocular SLAM-based Multi-User Positioning System with Image Occlusion in Augmented Reality
In recent years, with the rapid development of augmented reality (AR) technology, there is an increasing demand for multi-user collaborative experiences. Unlike for single-user experiences, ensuring the spatial localizat…
PositionUnityCUIfy the XR: An Open-Source Package to Embed LLM-powered Conversational Agents in XR
Recent developments in computer graphics, machine learning, and sensor technologies enable numerous opportunities for extended reality (XR) setups for everyday life, from skills training to entertainment. With large corp…
Language ModellingLarge Language ModelSpeech-to-Texttext-to-speech+2Advanced XR-Based 6-DOF Catheter Tracking System for Immersive Cardiac Intervention Training
Extended Reality (XR) technologies are gaining traction as effective tools for medical training and procedural guidance, particularly in complex cardiac interventions. This paper presents a novel system for real-time 3D …
UnityBeyond the Boundaries of Proximal Policy Optimization
Proximal policy optimization (PPO) is a widely-used algorithm for on-policy reinforcement learning. This work offers an alternative perspective of PPO, in which it is decomposed into the inner-loop estimation of update v…
UnityInference in a Stationary/Nonstationary Autoregressive Time-Varying-Parameter Model
This paper considers nonparametric estimation and inference in first-order autoregressive (AR(1)) models with deterministically time-varying parameters. A key feature of the proposed approach is to allow for time-varying…
UnityPhonology-Guided Speech-to-Speech Translation for African Languages
We present a prosody-guided framework for speech-to-speech translation (S2ST) that aligns and translates speech \emph{without} transcripts by leveraging cross-linguistic pause synchrony. Analyzing a 6{,}000-hour East Afr…
Semantic SimilaritySemantic Textual SimilaritySpeech-to-Speech TranslationTranslation+1Unveiling the Role of Expert Guidance: A Comparative Analysis of User-centered Imitation Learning and Traditional Reinforcement Learning
Integration of human feedback plays a key role in improving the learning capabilities of intelligent systems. This comparative study delves into the performance, robustness, and limitations of imitation learning compared…
Imitation LearningUnityEfficient Neural Network Training via Subset Pretraining
In training neural networks, it is common practice to use partial gradients computed over batches, mostly very small subsets of the training set. This approach is motivated by the argument that such a partial gradient is…
Data AugmentationEfficient Neural Networkimage-classificationImage Classification+1Unity is Power: Semi-Asynchronous Collaborative Training of Large-Scale Models with Structured Pruning in Resource-Limited Clients
In this work, we study to release the potential of massive heterogeneous weak computing power to collaboratively train large-scale models on dispersed datasets. In order to improve both efficiency and accuracy in resourc…
Transfer LearningUnityAchieving multi uav best viewpoint coordination in obstructed environments
Wildfire suppression is a complex task that poses high risks to humans. Using robotic teams for wildfire suppression enhances the safety and efficiency of detecting, monitoring, and extinguishing fires. We propose a cont…
UnityQuantifying Training Difficulty and Accelerating Convergence in Neural Network-Based PDE Solvers
Neural network-based methods have emerged as powerful tools for solving partial differential equations (PDEs) in scientific and engineering applications, particularly when handling complex domains or incorporating empiri…
Operator learningUnityReconstructing Galaxy Cluster Mass Maps using Score-based Generative Modeling
We present a novel approach to reconstruct gas and dark matter projected density maps of galaxy clusters using score-based generative modeling. Our diffusion model takes in mock SZ and X-ray images as conditional observa…
UnityThe age of spiritual machines: Language quietus induces synthetic altered states of consciousness in artificial intelligence
How is language related to consciousness? Language functions to categorise perceptual experiences (e.g., labelling interoceptive states as 'happy') and higher-level constructs (e.g., using 'I' to represent the narrative …
UnityDNN-based ensemble singing voice synthesis with interactions between singers
We propose a singing voice synthesis (SVS) method for a more unified ensemble singing voice by modeling interactions between singers. Most existing SVS methods aim to synthesize a solo voice, and do not consider interact…
Singing Voice SynthesisUnityPerceptual Similarity for Measuring Decision-Making Style and Policy Diversity in Games
Defining and measuring decision-making styles, also known as playstyles, is crucial in gaming, where these styles reflect a broad spectrum of individuality and diversity. However, finding a universally applicable measure…
Atari GamesBoard GamesCar RacingDecision Making+4How Well Do LLMs Identify Cultural Unity in Diversity?
Much work on the cultural awareness of large language models (LLMs) focuses on the models' sensitivity to geo-cultural diversity. However, in addition to cross-cultural differences, there also exists common ground across…
DecoderDiversityUnity