Papers Unity
“Unity” 태그가 달린 논문 378편 · 필터 해제
Sketch2Scene: Automatic Generation of Interactive 3D Game Scenes from User's Casual Sketches
3D Content Generation is at the heart of many computer graphics applications, including video gaming, film-making, virtual and augmented reality, etc. This paper proposes a novel deep-learning based approach for automati…
DenoisingUnityTHOR2: Topological Analysis for 3D Shape and Color-Based Human-Inspired Object Recognition in Unseen Environments
Visual object recognition in unseen and cluttered indoor environments is a challenging problem for mobile robots. This study presents a 3D shape and color-based descriptor, TOPS2, for point clouds generated from RGB-D im…
ObjectObject RecognitionUnityImproving Retrieval in Sponsored Search by Leveraging Query Context Signals
Accurately retrieving relevant bid keywords for user queries is critical in Sponsored Search but remains challenging, particularly for short, ambiguous queries. Existing dense and generative retrieval models often fail t…
DecoderRetrievalUnityDifferentiable Neural-Integrated Meshfree Method for Forward and Inverse Modeling of Finite Strain Hyperelasticity
The present study aims to extend the novel physics-informed machine learning approach, specifically the neural-integrated meshfree (NIM) method, to model finite-strain problems characterized by nonlinear elasticity and l…
GPUPhysics-informed machine learningUnityReactAIvate: A Deep Learning Approach to Predicting Reaction Mechanisms and Unmasking Reactivity Hotspots
A chemical reaction mechanism (CRM) is a sequence of molecular-level events involving bond-breaking/forming processes, generating transient intermediates along the reaction pathway as reactants transform into products. U…
UnityA Benchmark Environment for Offline Reinforcement Learning in Racing Games
Offline Reinforcement Learning (ORL) is a promising approach to reduce the high sample complexity of traditional Reinforcement Learning (RL) by eliminating the need for continuous environmental interactions. ORL exploits…
reinforcement-learningReinforcement LearningReinforcement Learning (RL)UnityA Review of Nine Physics Engines for Reinforcement Learning Research
We present a review of popular simulation engines and frameworks used in reinforcement learning (RL) research, aiming to guide researchers in selecting tools for creating simulated physical environments for RL and traini…
Decision MakingMuJoCoreinforcement-learningReinforcement Learning+2Unity in Diversity: Multi-expert Knowledge Confrontation and Collaboration for Generalizable Vehicle Re-identification
Generalizable vehicle re-identification (ReID) aims to enable the well-trained model in diverse source domains to broadly adapt to unknown target domains without additional fine-tuning or retraining. However, it still fa…
DiversityRepresentation LearningUnityVehicle Re-IdentificationDeep UAV Path Planning with Assured Connectivity in Dense Urban Setting
Unmanned Ariel Vehicle (UAV) services with 5G connectivity is an emerging field with numerous applications. Operator-controlled UAV flights and manual static flight configurations are major limitations for the wide adopt…
Deep Reinforcement LearningUnityQuantum Compiling with Reinforcement Learning on a Superconducting Processor
To effectively implement quantum algorithms on noisy intermediate-scale quantum (NISQ) processors is a central task in modern quantum technology. NISQ processors feature tens to a few hundreds of noisy qubits with limite…
reinforcement-learningReinforcement LearningReinforcement Learning (RL)UnityJoint Hybrid Transceiver and Reflection Matrix Design for RIS-Aided mmWave MIMO Cognitive Radio Systems
In this work, a reconfigurable intelligent surface (RIS)-aided millimeter wave (mmWave) multiple-input multiple-output (MIMO) cognitive radio (CR) downlink operating in the underlay mode is investigated. The cognitive ba…
UnityFamiliar biological, chemical and physical events credibly evolve the Standard Genetic Code
The genetic code is profoundly shaped by an origin in ancient RNA-mediated interactions, needing an extended development to reach the Standard Genetic Code (SGC). That development can serially use RNA specificities, a ri…
UnityCan We Achieve High-quality Direct Speech-to-Speech Translation without Parallel Speech Data?
Recently proposed two-pass direct speech-to-speech translation (S2ST) models decompose the task into speech-to-text translation (S2TT) and text-to-speech (TTS) within an end-to-end model, yielding promising results. Howe…
Contrastive LearningSpeech SynthesisSpeech-to-Speech TranslationSpeech-to-Text+5Solar Power Prediction Using Satellite Data in Different Parts of Nepal
Due to the unavailability of solar irradiance data for many potential sites of Nepal, the paper proposes predicting solar irradiance based on alternative meteorological parameters. The study focuses on five distinct regi…
UnityMulti-modal Mood Reader: Pre-trained Model Empowers Cross-Subject Emotion Recognition
Emotion recognition based on Electroencephalography (EEG) has gained significant attention and diversified development in fields such as neural signal processing and affective computing. However, the unique brain anatomy…
AnatomyEEGEmotion RecognitionUnityEnsemble and Mixture-of-Experts DeepONets For Operator Learning
We present a novel deep operator network (DeepONet) architecture for operator learning, the ensemble DeepONet, that allows for enriching the trunk network of a single DeepONet with multiple distinct trunk networks. This …
Mixture-of-ExpertsOperator learningUnityVR-GPT: Visual Language Model for Intelligent Virtual Reality Applications
The advent of immersive Virtual Reality applications has transformed various domains, yet their integration with advanced artificial intelligence technologies like Visual Language Models remains underexplored. This study…
Language ModelingLanguage ModellingSpeech-to-Texttext-to-speech+2Deep learning-based variational autoencoder for classification of quantum and classical states of light
Advancements in optical quantum technologies have been enabled by the generation, manipulation, and characterization of light, with identification based on its photon statistics. However, characterizing light and its sou…
ClassificationTransfer LearningUnityTowards General Neural Surrogate Solvers with Specialized Neural Accelerators
Surrogate neural network-based partial differential equation (PDE) solvers have the potential to solve PDEs in an accelerated manner, but they are largely limited to systems featuring fixed domain sizes, geometric layout…
UnityA Framework for Leveraging Human Computation Gaming to Enhance Knowledge Graphs for Accuracy Critical Generative AI Applications
External knowledge graphs (KGs) can be used to augment large language models (LLMs), while simultaneously providing an explainable knowledge base of facts that can be inspected by a human. This approach may be particular…
Knowledge GraphsUnity