Computer Vision ECCV 2018 Workshops Munich Germany September 8 14 2018 Proceedings Part V 1st Edition by ISBN Laura Leal Taixe, Stefan Roth ISBN 3030110214 9783030110215

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ISBN 10: 3030110214 
ISBN 13: 9783030110215
Author: Laura Leal Taixe, Stefan Roth

The six-volume set comprising the LNCS volumes 11129-11134 constitutes the refereed proceedings of the workshops that took place in conjunction with the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018. 43 workshops from 74 workshops proposals were selected for inclusion in the proceedings. The workshop topics present a good orchestration of new trends and traditional issues, built bridges into neighboring fields, and discuss fundamental technologies and novel applications.

Computer Vision ECCV 2018 Workshops Munich Germany September 8 14 2018 Proceedings Part V 1st Table of contents:

W25 – Perceptual Image Restoration and Manipulation Workshop and Challenge
Multi–scale Recursive and Perception–Distortion Controllable Image Super–Resolution
Bi-GANs-ST for Perceptual Image Super-Resolution
Multi-modal Spectral Image Super-Resolution
Generative Adversarial Network-Based Image Super-Resolution Using Perceptual Content Losses
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
The Unreasonable Effectiveness of Texture Transfer for Single Image Super-Resolution
Perception-Enhanced Image Super-Resolution via Relativistic Generative Adversarial Networks
Analyzing Perception-Distortion Tradeoff Using Enhanced Perceptual Super-Resolution Network
Scale-Recurrent Multi-residual Dense Network for Image Super-Resolution
Deep Networks for Image-to-Image Translation with Mux and Demux Layers
CARN: Convolutional Anchored Regression Network for Fast and Accurate Single Image Super-Resolution
Multiple Connected Residual Network for Image Enhancement on Smartphones
Perception-Preserving Convolutional Networks for Image Enhancement on Smartphones
Deep Residual Attention Network for Spectral Image Super-Resolution
Range Scaling Global U-Net for Perceptual Image Enhancement on Mobile Devices
Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks
Fast Perceptual Image Enhancement
PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study
AI Benchmark: Running Deep Neural Networks on Android Smartphones
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
The 2018 PIRM Challenge on Perceptual Image Super-Resolution
PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results
W26 – Egocentric Perception, Interaction and Computing
MAM: Transfer Learning for Fully Automatic Video Annotation and Specialized Detector Creation
Leveraging Uncertainty to Rethink Loss Functions and Evaluation Measures for Egocentric Action Anticipation
PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks
MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-Streams
W27 – Vision Meets Drone: A Challenge
VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results
VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results
VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results
W28 – 11th Perceptual Organization in Computer Vision Workshop on Action, Perception and Organization
An End-to-End Tree Based Approach for Instance Segmentation
Self-supervised Segmentation by Grouping Optical-Flow
Motion Selectivity of Neurons in Self-driving Networks
Imitation Learning of Path-Planned Driving Using Disparity-Depth Images
W29 – AutoNUE: Autonomous Navigation in Unconstrained Environments
Removal of Visual Disruption Caused by Rain Using Cycle-Consistent Generative Adversarial Networks
Real-Time Dynamic Object Detection for Autonomous Driving Using Prior 3D-Maps
Learning Driving Behaviors for Automated Cars in Unstructured Environments
Multichannel Semantic Segmentation with Unsupervised Domain Adaptation
Driving Data Collection Framework Using Low Cost Hardware
3D Bounding Boxes for Road Vehicles: A One-Stage, Localization Prioritized Approach Using Single Monocular Images
MASON: A Model AgnoStic ObjectNess Framework
Object Detection at 200 Frames per Second
Motion Segmentation Using Spectral Clustering on Indian Road Scenes
W30 – ApolloScape: Vision-Based Navigation for Autonomous Driving
Every Pixel Counts: Unsupervised Geometry Learning with Holistic 3D Motion Understanding
Localisation via Deep Imagination: Learn the Features Not the Map
Interest Point Detectors Stability Evaluation on ApolloScape Dataset
Reliable Multilane Detection and Classification by Utilizing CNN as a Regression Network

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