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Advances in Visual Computing: 15th International Symposium, ISVC 2020, San Diego, CA, USA, October 57, 2020, Proceedings, Part I 1st ed. 2020 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 745 pages, height x width: 235x155 mm, weight: 1181 g, 1 Illustrations, color; 44 Illustrations, black and white; XXXVI, 745 p. 45 illus., 1 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 12509
  • Izdošanas datums: 12-Dec-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 303064555X
  • ISBN-13: 9783030645557
  • Mīkstie vāki
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  • Formāts: Paperback / softback, 745 pages, height x width: 235x155 mm, weight: 1181 g, 1 Illustrations, color; 44 Illustrations, black and white; XXXVI, 745 p. 45 illus., 1 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 12509
  • Izdošanas datums: 12-Dec-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 303064555X
  • ISBN-13: 9783030645557
This two-volume set of LNCS 12509 and 12510 constitutes the refereed proceedings of the 15th International Symposium on Visual Computing, ISVC 2020, which was supposed to be held in San Diego, CA, USA in October 2020, took place virtually instead due to the COVID-19 pandemic.





The 114 full and 4 short papers presented in these volumes were carefully reviewed and selected from 175 submissions. The papers are organized into the following topical sections:





Part I: deep learning; segmentation; visualization; video analysis and event recognition; ST: computational bioimaging; applications; biometrics; motion and tracking; computer graphics; virtual reality; and ST: computer vision advances in geo-spatial applications and remote sensing





Part II: object recognition/detection/categorization; 3D reconstruction; medical image analysis; vision for robotics; statistical pattern recognition; posters
Deep Learning.- Regularization and Sparsity for Adversarial Robustness
and Stable Attribution.- Self-Competitive Neural Networks.- A Novel
Contractive GAN Model for a Unified Approach Towards Blind Quality Assessment
of Images from Heterogeneous Sources.- Nonconvex Regularization for Network
Slimming: Compressing CNNs Even More.- Biologically Inspired Sleep Algorithm
for VariationalAuto-Encoders.- A Deep Genetic Programming based Methodology
for Art Media Classification Robust to Adversarial Perturbations.- rcGAN:
Learning a generative model for arbitrary size image generation.-
Sketch-Inspector: a Deep Mixture Model for High-Quality Sketch Generation of
Cats.- Depthwise Separable Convolutions and Variational Dropout within the
context of YOLOv3.- Uncertainty Estimates in Deep Generative Models using
Gaussian Processes.- Segmentation.- Towards Optimal Ship Navigation Using
Image Processing.- Overscan Detection in Digitized Analog Films by Precise
Sprocket Hole Segmentation.- Pixel-level Corrosion Detection on Metal
Constructions by Fusion of Deep Learning Semantic and Contour Segmentation.-
CSC-GAN: Cycle and semantic consistency for dataset augmentation.-
Improvements on the Superpixel Hierarchy Algorithm with Applications to Image
Segmentation and Saliency Detection.- Visualization.- Referenced Based Color
Transfer for Medical Volume Rendering.- An Empirical Methodological Study of
Evaluation Methods Applied to Educational Timetabling Visualizations.-
Real-Time Contrast Enhancement for 3DMedical Images using Histogram
Equalization.- Flow Map Processing by Space-Time Deformation.- GenExplorer:
Visualizing and Comparing Gene Expression Levels via Differential Charts.-
Video Analysis and Event Recognition.- An Event-Based Hierarchical Method for
Customer Activity Recognition in Retail Stores.- Fully Autonomous UAV-based
Action Recognition System Using Aerial Imagery.- Hierarchical Action
Classification with Network Pruning.- An Approach Towards Action Recognition
using Part Based Hierarchical Fusion.- ST: Computational Bioimaging.-
Ensemble Convolutional Neural Networks for the Detection of Microscopic
Fusarium Oxysporum.- Offline versus Online Triplet Mining based on Extreme
Distances of Histopathology Patches.- Multi-Label Classification of Panoramic
Radiographic Images using a Convolutional Neural Network.- Ink Marker
Segmentation in Histopathology Images Using Deep Learning.- P-FideNet:
Plasmodium Falciparum Identification Neural Network.- Applications.-
Lightless Fields: Enhancement and Denoising of Light-defficient Light
Fields.- FA3D: Fast and Accurate 3D Object Detection.- Generalized Inverted
Dirichlet Optimal predictor for Image inpainting.- BVNet: A 3D End-to-end
Model Based on Point Cloud.- Evaluating Single Image Dehazing Methods Under
Realistic Sunlight Haze.- Biometrics.- Deep Partial Occlusion Facial
Expression Recognition via Improved CNN.- Towards an Effective Approach for
Face Recognition with DCGANs Data Augmentation.- Controlled AutoEncoders to
Generate Faces from Voices.- Gender and Age Estimation without Facial
Information from Still Images.- Face Reenactment Based Facial Expression
Recognition.- Motion and Tracking.- Coarse-to-Fine Object Tracking Using Deep
Features and Correlation Filters.- Asynchronous Corner Tracking Algorithm
based on Lifetime of Events for DAVIS Cameras.- TAGCN: Topology-Aware Graph
Convolutional Network for Trajectory Prediction.- 3D articulated body model
using anthropometric control points and an articulation video.- Body Motion
Analysis for Golf Swing Evaluation.- Computer Graphics.- Simulation of
High-Definition Pixel-Headlights.- ConcurrentHull: A Fast Parallel Computing
Approach to the Convex Hull Problem.- A Data-Driven Creativity Measure for 3D
Shapes.- Virtual Reality.- Walking in a Crowd Full of Virtual Characters:
Effects of Virtual Character Appearance on Human Movement Behavior.-
Improving Chinese Reading Comprehensions of Dyslexic Children via VR
Reading.- Improving User Experience in Augmented Reality Mirrors with 3D
Displays.- Passenger Anxiety about Virtual Driver Awareness During a Trip
with a Virtual Autonomous Vehicle.- Investigating the Display Fidelity of
Popular Head-Mounted Display Systems on Spatial Updating and Learning in VR.-
ST: Computer Vision Advances in Geo-Spatial Applications and Remote Sensing.-
Natural Disaster Building Damage Assessment Using a Two-Encoder U-Net.-
Understanding Flooding Detection Using Overhead Imagery Lessons Learned.-
Hyperspectral Image Classification via Pyramid Graph Reasoning.-
Semi-Supervised Fine-Tuning for Deep Learning Models in Remote Sensing
Applications.- Scene Classification of Remote Sensing Images using convNet
Features and Multi-grained Forest.