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Apr 03, 2020
Human-Computer Interaction
Artificial Intelligence

This paper presents a step towards designer modeling through an experiment on archetypical design trajectories analysis in an MI-CC environment, as a means to characterize several representative design styles as designer personas. We have first run …

Towards Designer Modeling through Design Style Clustering

We propose modeling designer style in mixed-initiative game content creation tools as archetypical design traces. These design traces are formulated …
Apr 03, 2020
Computer Vision
Hardware Architecture
Machine Learning
Image and Video Processing

Near-chip Dynamic Vision Filtering for Low-Bandwidth Pedestrian Det…

This paper presents a novel end-to-end system for pedestrian detection using Dynamic Vision Sensors (DVSs). We target applications where multiple sen…
Apr 03, 2020
Neural and Evolutionary Computation
Numerical Analysis

The data-driven physical-based equations discovery using evolutionary…

The modern machine learning methods allow one to obtain the data-driven models in various ways. However, the more complex the model is, the harder it…
Apr 03, 2020
Computer Vision

S2DNet: Learning Accurate Correspondences for Sparse-to-Dense Feature…

Establishing robust and accurate correspondences is a fundamental backbone to many computer vision algorithms. While recent learning-based feature ma…
Apr 03, 2020
Computation and Language

Directions in Abusive Language Training Data: Garbage In, Garbage Out

Data-driven analysis and detection of abusive online content covers many different tasks, phenomena, contexts, and methodologies. This paper systemat…
Apr 03, 2020
Computer Vision
Graphics

Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation

We present a learning-based method for interpolating and manipulating 3D shapes represented as point clouds, that is explicitly designed to preserve …
Apr 03, 2020
Computer Vision

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation

Instance segmentation is an important task for scene understanding. Compared to the fully-developed 2D, 3D instance segmentation for point clouds hav…
Apr 03, 2020
Neural and Evolutionary Computation

Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware

With more and more event-based neuromorphic hardware systems being developed at universities and in industry, there is a growing need for assessing t…
Apr 03, 2020
Computation and Language
Machine Learning

Aligned Cross Entropy for Non-Autoregressive Machine Translation

Non-autoregressive machine translation models significantly speed up decoding by allowing for parallel prediction of the entire target sequence. Howe…
Apr 03, 2020
Computer Vision
Machine Learning
Image and Video Processing

Deep Learning based detection of Acute Aortic Syndrome in contrast CT…

Acute aortic syndrome (AAS) is a group of life threatening conditions of the aorta. We have developed an end-to-end automatic approach to detect AAS …
Apr 03, 2020
Computation and Language

Analyzing autoencoder-based acoustic word embeddings

Recent studies have introduced methods for learning acoustic word embeddings (AWEs)---fixed-size vector representations of words which encode their a…
Apr 03, 2020
Computer Vision
Machine Learning
Image and Video Processing

Quantifying Data Augmentation for LiDAR based 3D Object Detection

In this work, we shed light on different data augmentation techniques commonly used in Light Detection and Ranging (LiDAR) based 3D Object Detection.…
Apr 03, 2020
Machine Learning

Weighted Random Search for Hyperparameter Optimization

We introduce an improved version of Random Search (RS), used here for hyperparameter optimization of machine learning algorithms. Unlike the standard…
Apr 03, 2020
Computer Vision

Deep Learning for Image Search and Retrieval in Large Remote Sensing …

This chapter presents recent advances in content based image search and retrieval (CBIR) systems in remote sensing (RS) for fast and accurate informa…
Apr 03, 2020
Machine Learning
Artificial Intelligence

Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep…

Recent works using deep learning to solve the Traveling Salesman Problem (TSP) have focused on learning construction heuristics. Such approaches find…
Apr 03, 2020
Image and Video Processing
Computer Vision

Cell Segmentation by Combining Marker-Controlled Watershed and Deep …

We propose a cell segmentation method for analyzing images of densely clustered cells. The method combines the strengths of marker-controlled watersh…
Apr 03, 2020
Computer Vision

HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Est…

3D hand shape and pose estimation from a single depth map is a new and challenging computer vision problem with many applications. The state-of-the-a…
Apr 03, 2020
Machine Learning

Faster Gaussian Processes via Deep Embeddings

Gaussian processes provide a probabilistic framework for quantifying uncertainty of prediction and have been adopted in many applications in Statisti…
Apr 03, 2020
Computation and Language
Artificial Intelligence

We compared professional human Chinese to English translations to the output of a strong MT system. In a human evaluation following best practices, Hassan et al. (2018) found no significant difference between the two, concluding that their NMT syste…

A Set of Recommendations for Assessing Human-Machine Parity in Langua…

The quality of machine translation has increased remarkably over the past years, to the degree that it was found to be indistinguishable from profess…
Apr 03, 2020
Audio and Speech Processing
Machine Learning

Neural i-vectors

Deep speaker embeddings have been demonstrated to outperform their generative counterparts, i-vectors, in recent speaker verification evaluations. To…
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