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Dec 12, 2019
Computer Vision
Graphics

Deep Structured Implicit Functions

The goal of this project is to learn a 3D shape representation that enables accurate surface reconstruction, compact storage, efficient computation, …
Dec 12, 2019
Computer Vision
Machine Learning
Image and Video Processing

Unified Generative Adversarial Networks for Controllable Image-to-Ima…

Controllable image-to-image translation, i.e., transferring an image from a source domain to a target one guided by controllable structures, has attr…
Dec 12, 2019
Machine Learning
Artificial Intelligence

Learning To Reach Goals Without Reinforcement Learning

Imitation learning algorithms provide a simple and straightforward approach for training control policies via supervised learning. By maximizing the …
Dec 12, 2019
Geophysics
Machine Learning

Unsupervised classification of acoustic emissions from catalogs and …

When a rock is subjected to stress it deforms by creep mechanisms that include formation and slip on small-scale internal cracks. Intragranular crack…
Dec 12, 2019
Optimization and Control
Machine Learning
Multiagent Systems
Systems and Control

Control-Tutored Reinforcement Learning

We introduce a control-tutored reinforcement learning (CTRL) algorithm. The idea is to enhance tabular learning algorithms so as to improve the explo…
Dec 12, 2019
Computer Vision
Machine Learning

Human Motion Anticipation with Symbolic Label

Anticipating human motion depends on two factors: the past motion and the person's intention. While the first factor has been extensively utilized to…
Dec 12, 2019
Image and Video Processing
Computer Vision
Machine Learning

Coronary Artery Plaque Characterization from CCTA Scans using Deep …

Assessing coronary artery plaque segments in coronary CT angiography scans is an important task to improve patient management and clinical outcomes, …
Dec 12, 2019
Machine Learning
Artificial Intelligence

Game Design for Eliciting Distinguishable Behavior

The ability to inferring latent psychological traits from human behavior is key to developing personalized human-interacting machine learning systems…
Dec 12, 2019
Machine Learning
Computation
Methodology

Normalizing Constant Estimation with Gaussianized Bridge Sampling

Normalizing constant (also called partition function, Bayesian evidence, or marginal likelihood) is one of the central goals of Bayesian inference, y…
Dec 12, 2019
Machine Learning
Neural and Evolutionary Computation

Grid Search, Random Search, Genetic Algorithm: A Big Comparison for N…

In this paper, we compare the three most popular algorithms for hyperparameter optimization (Grid Search, Random Search, and Genetic Algorithm) and a…
Dec 12, 2019
Machine Learning

Coloring graph neural networks for node disambiguation

In this paper, we show that a simple coloring scheme can improve, both theoretically and empirically, the expressive power of Message Passing Neural …
Dec 12, 2019
Computer Vision
Machine Learning

Hue-Net: Intensity-based Image-to-Image Translation with Differentiab…

We present the Hue-Net - a novel Deep Learning framework for Intensity-based Image-to-Image Translation. The key idea is a new technique termed netwo…
Dec 12, 2019
Machine Learning
Computer Vision

Efficient Per-Example Gradient Computations in Convolutional Neural …

Deep learning frameworks leverage GPUs to perform massively-parallel computations over batches of many training examples efficiently. However, for ce…
Dec 12, 2019
Image and Video Processing
Computer Vision

An Approach to Super-Resolution of Sentinel-2 Images Based on Generat…

This paper presents a Generative Adversarial Network based super-resolution (SR) approach (which is called as S2GAN) to enhance the spatial resolutio…
Dec 12, 2019
Computer Vision

IoU-aware Single-stage Object Detector for Accurate Localization

Due to the simpleness and high efficiency, single-stage object detectors have been widely applied in many computer vision applications . However, the…
Dec 12, 2019
Image and Video Processing
Computer Vision
Human-Computer Interaction

A Saliency Dataset of Head and Eye Movements for Augmented Reality

In augmented reality (AR), correct and precise estimations of user's visual fixations and head movements can enhance the quality of experience by all…
Dec 12, 2019
Robotics
Machine Learning

Parareal with a Learned Coarse Model for Robotic Manipulation

A key component of many robotics model-based planning and control algorithms is physics predictions, that is, forecasting a sequence of states given …
Dec 12, 2019
Computation and Language
Machine Learning

Text as Environment: A Deep Reinforcement Learning Text Readability …

Evaluating the readability of a text can significantly facilitate the precise expression of information in a written form. The formulation of text re…
Dec 12, 2019
Image and Video Processing
Computer Vision

SegTHOR: Segmentation of Thoracic Organs at Risk in CT images

In the era of open science, public datasets, along with common experimental protocol, help in the process of designing and validating data science al…
Dec 12, 2019
Neural and Evolutionary Computation

Sequential vs. Integrated Algorithm Selection and Configuration: A Ca…

When faced with a specific optimization problem, choosing which algorithm to use is always a tough task. Not only is there a vast variety of algorith…
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