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A Photogrammetry-based Framework to Facilitate Image-based Modeling and Automatic Camera Tracking


Authors:  SebastianBullinger, ChristophBodensteiner, MichaelArens....
Published date-12/02/2020
Tasks:  StructurefromMotion

Abstract: We propose a framework that extends Blender to exploit Structure from Motion (SfM) and Multi-View Stereo (MVS) techniques for image-based modeling tasks such as sculpting or camera and motion tracking. …

Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data


Authors:  HaonanHuang, NaiyaoLiang, WeiYan....
Published date-12/02/2020
Tasks:  MULTI-VIEWLEARNING

Abstract: Since many real-world data can be described from multiple views, multi-view learning has attracted considerable attention. Various methods have been proposed and successfully applied to multi-view learning, typically based on …

DERAIL: Diagnostic Environments for Reward And Imitation Learning


Authors:  PedroFreire, AdamGleave, SamToyer....
Published date-12/02/2020
Tasks:  ImitationLearning

Abstract: The objective of many real-world tasks is complex and difficult to procedurally specify. This makes it necessary to use reward or imitation learning algorithms to infer a reward or policy …

Supertagging the Long Tail with Tree-Structured Decoding of Complex Categories


Authors:  JakobPrange, NathanSchneider, VivekSrikumar....
Published date-12/02/2020
Tasks:  StructuredPrediction

Abstract: Although current CCG supertaggers achieve high accuracy on the standard WSJ test set, few systems make use of the categories' internal structure that will drive the syntactic derivation during parsing. …

Learning Spatial Attention for Face Super-Resolution


Authors:  ChaofengChen, DihongGong, HaoWang....
Published date-12/02/2020
Tasks:  ImageSuper-Resolution, Multi-TaskLearning, SSIM, SuperResolution, Super-Resolution

Abstract: General image super-resolution techniques have difficulties in recovering detailed face structures when applying to low resolution face images. Recent deep learning based methods tailored for face images have achieved improved …

Single-Shot Lightweight Model For The Detection of Lesions And The Prediction of COVID-19 From Chest CT Scans


Authors:  AramTer-Sarkisov....
Published date-12/02/2020
Tasks:  COVID-19Diagnosis

Abstract: We introduce a lightweight model based on Mask R-CNN with ResNet18 and ResNet34 backbone models that segments lesions and predicts COVID-19 from chest CT scans in a single shot. The …

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