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Aug 22, 2019
Computer Vision
Graphics

Predicting Animation Skeletons for 3D Articulated Models via Volumetr…

We present a learning method for predicting animation skeletons for input 3D models of articulated characters. In contrast to previous approaches tha…
Aug 22, 2019
Multimedia
Graphics
Machine Learning
Image and Video Processing

ColorNet -- Estimating Colorfulness in Natural Images

Measuring the colorfulness of a natural or virtual scene is critical for many applications in image processing field ranging from capturing to displa…
Aug 22, 2019
Computer Vision

Saliency Methods for Explaining Adversarial Attacks

In this work, we aim to explain the classifications of adversary images using saliency methods. Saliency methods explain individual classification de…
Aug 22, 2019
Computation and Language
Artificial Intelligence
Machine Learning

The compositionality of neural networks: integrating symbolism and …

Despite a multitude of empirical studies, little consensus exists on whether neural networks are able to generalise compositionally, a controversy th…
Aug 22, 2019
Computer Vision
Robotics

Object detection on aerial imagery using CenterNet

Detection and classification of objects in aerial imagery have several applications like urban planning, crop surveillance, and traffic surveillance.…
Aug 22, 2019
Social and Information Networks
Machine Learning

motif2vec: Motif Aware Node Representation Learning for Heterogeneous…

Recent years have witnessed a surge of interest in machine learning on graphs and networks with applications ranging from vehicular network design to…
Aug 22, 2019
By lvpyuan
Computer Vision

Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting…

Unifying text detection and text recognition in an end-to-end training fashion has become a new trend for reading text in the wild, as these two task…
Aug 22, 2019
Computation and Language

Denoising based Sequence-to-Sequence Pre-training for Text Generation

This paper presents a new sequence-to-sequence (seq2seq) pre-training method PoDA (Pre-training of Denoising Autoencoders), which learns representati…
Aug 22, 2019
By kiya
Image and Video Processing
Computer Vision

An Image Fusion Scheme for Single-Shot High Dynamic Range Imaging wit…

This paper proposes a novel multi-exposure image fusion (MEF) scheme for single-shot high dynamic range imaging with spatially varying exposures (SVE…
Aug 22, 2019
Computer Vision
Graphics
Image and Video Processing

Pro-Cam SSfM: Projector-Camera System for Structure and Spectral Re…

In this paper, we propose a novel projector-camera system for practical and low-cost acquisition of a dense object 3D model with the spectral reflect…
Aug 22, 2019
Computer Vision

Multi-Stream Single Shot Spatial-Temporal Action Detection

We present a 3D Convolutional Neural Networks (CNNs) based single shot detector for spatial-temporal action detection tasks. Our model includes: (1) …
Aug 21, 2019
Computer Vision
Distributed
Parallel
and Cluster Computing

MobiSR: Efficient On-Device Super-Resolution through Heterogeneous …

In recent years, convolutional networks have demonstrated unprecedented performance in the image restoration task of super-resolution (SR). SR entail…
Aug 21, 2019
By mha241
Computer Vision

DomainSiam: Domain-Aware Siamese Network for Visual Object Tracking

Visual object tracking is a fundamental task in the field of computer vision. Recently, Siamese trackers have achieved state-of-the-art performance o…
Aug 21, 2019
Machine Learning
Image and Video Processing

Representation Disentanglement for Multi-task Learning with applicati…

One of the biggest challenges for deep learning algorithms in medical image analysis is the indiscriminate mixing of image properties, e.g. artifacts…
Aug 21, 2019
By tianli
Machine Learning
Distributed
Parallel
and Cluster Computing

Federated Learning: Challenges, Methods, and Future Directions

Federated learning involves training statistical models over remote devices or siloed data centers, such as mobile phones or hospitals, while keeping…
Aug 21, 2019
Computation and Language

In this work, we introduced WikiCREM, a large dataset of training instances for pronoun resolution. We use our dataset to fine-tune the Bert language model. Our results match or outperform state-of-the-art models on 6 out of 7 evaluated datasets.

WikiCREM: A Large Unsupervised Corpus for Coreference Resolution

Pronoun resolution is a major area of natural language understanding. However, large-scale training sets are still scarce, since manually labelling d…
Aug 21, 2019
Image and Video Processing
Computer Vision
Machine Learning

A CNN toolbox for skin cancer classification

We describe a software toolbox for the configuration of deep neural networks in the domain of skin cancer classification. The implemented software ar…
Aug 21, 2019
Machine Learning
Computational Finance

This article proposed a one-dimensional convolutional neural network architecture for quantile regression. The model takes as input a series of observations, and directly makes one-step ahead forecasts for arbitrary quantiles. It is essentially a co…

QCNN: Quantile Convolutional Neural Network

A dilated causal one-dimensional convolutional neural network architecture is proposed for quantile regression. The model can forecast any arbitrary …
Aug 21, 2019
Applications
Machine Learning

Importance of spatial predictor variable selection in machine learnin…

Machine learning algorithms find frequent application in spatial prediction of biotic and abiotic environmental variables. However, the characteristi…
Aug 21, 2019
Image and Video Processing
Computer Vision
Machine Learning

U-Net Training with Instance-Layer Normalization

Normalization layers are essential in a Deep Convolutional Neural Network (DCNN). Various normalization methods have been proposed. The statistics us…
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