Computer Vision - ECCV 2020 Workshops : Glasgow, UK, August 23-28, 2020, Proceedings, Part I / edited by Adrien Bartoli, Andrea Fusiello.

Format:

Book

Contributor:

Bartoli, Adrien, Editor.

Fusiello, Andrea, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 12535

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 12535

Language:

English

Subjects (All):

Computer vision.

Machine learning.

Pattern recognition systems.

Social sciences-Data processing.

Education-Data processing.

Computer Vision.

Machine Learning.

Automated Pattern Recognition.

Computer Application in Social and Behavioral Sciences.

Computers and Education.

Local Subjects:

Computer Vision.

Machine Learning.

Automated Pattern Recognition.

Computer Application in Social and Behavioral Sciences.

Computers and Education.

Physical Description:

1 online resource (XXVII, 797 pages) : 115 illustrations

Edition:

1st ed. 2020.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2020.

System Details:

text file PDF

Summary:

The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic. The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics. Part I focusses on adversarial robustness in the real world; bioimage computation; egocentric perception, interaction and computing; eye gaze in VR, AR, and in the wild; TASK-CV workshop and VisDA challenge; and bodily expressed emotion understanding.

Contents:

W01 - Adversarial Robustness in the Real World

A Deep Dive into Adversarial Robustness in Zero-Shot Learning

Towards Analyzing Semantic Robustness of Deep Neural Networks

Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses

Deep k-NN Defense Against Clean-label Data Poisoning Attacks

Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings

Adversarial Shape Perturbations on 3D Point Clouds

Jacks of All Trades, Masters Of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks

Evaluating Input Perturbation Methods for Interpreting CNNs and Saliency Map Comparison

Adversarial Robustness of Open-set Recognition: Face Recognition and Person Re-identification

WaveTransform: Crafting Adversarial Examples via Input Decomposition

Robust Super-Resolution of Real Faces using Smooth Features

Improved Robustness to Open Set Inputs via Tempered Mixup

Defenses Against Multi-Sticker Physical Domain Attacks on Classifiers

Adversarial Attack on Deepfake Detection using RL based Texture Patches

W02 - BioImage Computation

A Subpixel Residual U-Net and Feature Fusion Preprocessing for Retinal Vessel Segmentation

Attention Deeplabv3+: Multi-level Context Attention Mechanism for Skin Lesion Segmentation

Automated Assessment of the Curliness of Collagen Fiber in Breast Cancer

Bionic Tracking: Using Eye Tracking to Track Biological Cells in Virtual Reality

Cardiac MR Image Sequence Segmentation with Temporal Motion Encoding

Classifying Nuclei Shape Heterogeneity in Breast Tumors with Skeletons

DenoiSeg: Joint Denoising and Segmentation

DoubleU-Net: Colorectal Cancer Diagnosis and Gland Instance Segmentation with Text-Guided Feature Control

Dynamic Image for 3D MRI Image Alzheimer's Disease Classification

Feedback Attention for Cell Image Segmentation

Improving Blind Spot Denoising for Microscopy

Learning to Restore ssTEM Images from Deformation and Corruption

Learning to Segment Microscopy Images with Lazy Labels

Multi-CryoGAN: Reconstruction of Continuous Conformations in Cryo-EM Using Generative Adversarial Networks

Probabilistic Deep Learning for Instance Segmentation

Registration of Multi-modal Volumetric Images by Establishing Cell Correspondence

W2S: Microscopy Data with Joint Denoising and Super-Resolution for Wide field to SIM Mapping

W03 - Egocentric Perception, Interaction and Computing

An investigation of Deep Visual Architectures based on Preprocess Using the Retinal Transform

Data Augmentation Techniques for the Video Question Answering Task

W05 - Eye Gaze in VR, AR, and in the Wild

Efficiency in Real-time Webcam Gaze Tracking

Hierarchical HMM for Eye Movement Classification

Domain Adaptation for Eye Segmentation

EyeSeg: Fast and Efficient Few-Shot Semantic Segmentation

W10 - TASK-CV Workshop and VisDA Challenge

Class-imbalanced Domain Adaptation: An Empirical Odyssey

Sequential Learning for Domain Generalization

Generating Visual and Semantic Explanations with Multi-task Network

SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection

Using Sentences as Semantic Representations in Large Scale Zero-Shot Learning

Adversarial Transfer of Camera Pose Regression

Disentangled Image Generation for Unsupervised Domain Adaptation

Domain Generalization using Shape Representation

Bi-Dimensional Feature Alignment for Cross-Domain Object Detection

Bayesian Zero-Shot Learning

Self-Supervision for 3D Real-World Challenges

Diversified Mutual Metric Learning

Domain Generalization vs Data Augmentation: an Unbiased Perspective

W11 - Bodily Expressed Emotion Understanding

Panel: Bodily Expressed Emotion Understanding Research: A Multidisciplinary Perspective

Emotion Understanding in Videos Through Body, Context, and Visual-Semantic Embedding Loss

Noisy Student Training using Body Language Dataset Improves Facial Expression Recognition

Emotion Embedded Pose Generation

Understanding Political Communication Styles in Televised Debates via Body Movements.

Other Format:

Printed edition:

ISBN:

978-3-030-66415-2

9783030664152

Access Restriction:

Restricted for use by site license.