Papers Unity
“Unity” 태그가 달린 논문 378편 · 필터 해제
Why a computer program is a functional whole
Sharing, downloading, and reusing software is common-place, some of which is carried out legally with open source software. When it is not legal, it is unclear just how many copyright infringements and trade secret viola…
UnityNeuroMAX: A High Throughput, Multi-Threaded, Log-Based Accelerator for Convolutional Neural Networks
Convolutional neural networks (CNNs) require high throughput hardware accelerators for real time applications owing to their huge computational cost. Most traditional CNN accelerators rely on single core, linear processi…
UnityEvaluating the Apperception Engine
The Apperception Engine is an unsupervised learning system. Given a sequence of sensory inputs, it constructs a symbolic causal theory that both explains the sensory sequence and also satisfies a set of unity conditions.…
Inductive logic programmingUnityLearning to simulate complex scenes
Data simulation engines like Unity are becoming an increasingly important data source that allows us to acquire ground truth labels conveniently. Moreover, we can flexibly edit the content of an image in the engine, such…
AttributeSemantic SegmentationUnityLocally trimmed least squares: conventional inference in possibly nonstationary models
A novel IV estimation method, that we term Locally Trimmed LS (LTLS), is developed which yields estimators with (mixed) Gaussian limit distributions in situations where the data may be weakly or strongly persistent. In p…
UnityRegional analysis of COVID-19 in France from fit of hospital data with different evolutionary models
The SIR evolutionary model predicts too sharp a decrease of the fractions of people infected with COVID-19 in France after the start of the national lockdown, compared to what is observed. I fit the daily hospital data: …
UnityRealistic Physics Based Character Controller
Over the course of the last several years there was a strong interest in application of modern optimal control techniques to the field of character animation. This interest was fueled by introduction of efficient learnin…
UnityA t-distribution based operator for enhancing out of distribution robustness of neural network classifiers
Neural Network (NN) classifiers can assign extreme probabilities to samples that have not appeared during training (out-of-distribution samples) resulting in erroneous and unreliable predictions. One of the causes for th…
UnityDeep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving Cars
The technological and scientific challenges involved in the development of autonomous vehicles (AVs) are currently of primary interest for many automobile companies and research labs. However, human-controlled vehicles a…
Autonomous VehiclesCollision AvoidanceDeep Reinforcement LearningGaussian Processes+2CoolMomentum: A Method for Stochastic Optimization by Langevin Dynamics with Simulated Annealing
Deep learning applications require global optimization of non-convex objective functions, which have multiple local minima. The same problem is often found in physical simulations and may be resolved by the methods of La…
global-optimizationPhysical SimulationsStochastic OptimizationUnityDesperate times call for desperate measures: government spending multipliers in hard times
We investigate state-dependent effects of fiscal multipliers and allow for endogenous sample splitting to determine whether the US economy is in a slack state. When the endogenized slack state is estimated as the period …
UnitySurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving
Autonomous driving system development is critically dependent on the ability to replay complex and diverse traffic scenarios in simulation. In such scenarios, the ability to accurately simulate the vehicle sensors such a…
3D geometryAutonomous DrivingUnityDemonstration of a Serious Game for Spoken Language Experiments - GDX
Increasing efforts are put into gamification of experimentation software in psychology and educational applications and the development of serious games. Computer-based experiments with game-like features have been devel…
UnityModelos SIR modificados para la evoluci\'on del COVID19
We study the SIR epidemiological model, with a variable contagion rate, applied to the evolution of COVID19 in Cuba. It is highlighted that an increase in the predictive character depends on understanding the dynamics fo…
UnityModel-based actor-critic: GAN (model generator) + DRL (actor-critic) => AGI
Our effort is toward unifying GAN and DRL algorithms into a unifying AI model (AGI or general-purpose AI or artificial general intelligence which has general-purpose applications to: (A) offline learning (of stored data)…
modelOpenAI GymUnityDetection and tracking of fingertips for geometric transformation of objects in virtual environment
This paper presents an approach of two-stage convolutional neural network (CNN) for detection of fingertips so that an interaction of the fingertips with a 3D object in the virtual environment (VR) can be established. Th…
Fingertip DetectionHand DetectionMixed RealityObject+1Unity Style Transfer for Person Re-Identification
Style variation has been a major challenge for person re-identification, which aims to match the same pedestrians across different cameras. Existing works attempted to address this problem with camera-invariant descripto…
Person Re-IdentificationStyle TransferUnityCointegration without Unit Roots
It has been known since Elliott (1998) that standard methods of inference on cointegrating relationships break down entirely when autoregressive roots are near but not exactly equal to unity. We consider this problem wit…
Unity3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans
We present a unified representation for actionable spatial perception: 3D Dynamic Scene Graphs. Scene graphs are directed graphs where nodes represent entities in the scene (e.g. objects, walls, rooms), and edges represe…
3D ReconstructionHuman DetectionRobot Task PlanningSimultaneous Localization and Mapping+1Generalized Bayesian Cramér-Rao Inequality via Information Geometry of Relative $α$-Entropy
The relative $\alpha$-entropy is the R\'enyi analog of relative entropy and arises prominently in information-theoretic problems. Recent information geometric investigations on this quantity have enabled the generalizati…
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