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Computer Vision - ECCV 2020 Workshops : Glasgow, UK, August 23-28, 2020, Proceedings, Part II / edited by Adrien Bartoli, Andrea Fusiello.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 12536
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 12536
- Language:
- English
- Subjects (All):
- Computer vision.
- Natural language processing (Computer science).
- Pattern recognition systems.
- Social sciences-Data processing.
- User interfaces (Computer systems).
- Human-computer interaction.
- Computer Vision.
- Natural Language Processing (NLP).
- Automated Pattern Recognition.
- Computer Application in Social and Behavioral Sciences.
- User Interfaces and Human Computer Interaction.
- Local Subjects:
- Computer Vision.
- Natural Language Processing (NLP).
- Automated Pattern Recognition.
- Computer Application in Social and Behavioral Sciences.
- User Interfaces and Human Computer Interaction.
- Physical Description:
- 1 online resource (XXVII, 759 pages) : 13 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 II focusses on commands for autonomous vehicles; computer vision for ART analysis; sign language recognition, translation and production; visual inductive priors for data-efficient deep learning; 3D poses in the wild challenge; map-based localization for autonomous driving; recovering 6D object pose; and shape recovery from partial textured 3D scans.
- Contents:
- W12 - Commands 4 Autonomous Vehicles
- Commands 4 Autonomous Vehicles (C4AV) Workshop Summary
- Commands for Autonomous Vehicles by Progressively Stacking Visual-Linguistic Representations
- C4AV: Learning Cross-Modal Representations from Transformers
- Cosine meets Softmax: A tough-to-beat baseline for visual grounding
- Attention Enhanced Single Stage Multimodal Reasoner
- AttnGrounder: Talking to Cars with Attention
- W13 - Computer VISion for ART Analysis
- Detecting Faces, Visual Medium Types, and Gender in Historical Advertisements, 1950-1995
- A Dataset and Baselines for Visual Question Answering on Art
- Understanding Compositional Structures in Art Historical Images using Pose and Gaze Priors
- Demographic In uences on Contemporary Art with Unsupervised Style Embeddings
- Geolocating Time: Digitisation and Reverse Engineering of a Roman Sundial
- Object Retrieval and Localization in Large Art Collections using Deep Multi-Style Feature Fusion and Iterative Voting
- W15 - Sign Language Recognition, Translation and Production
- SLRTP 2020: The Sign Language Recognition, Translation and Production Workshop
- Automatic Segmentation of Sign Language into Subtitle-Units
- Phonologically-meaningful Subunits for Deep Learning-based Sign Language Recognition
- Recognition of an effective and grammatical facial expressions: a study for Brazilian sign language
- Real-Time Sign Language Detection using Human Pose Estimation
- Exploiting 3D Hand Pose Estimation in Deep Learning-Based Sign Language Recognition from RGB Videos
- A Plan for Developing an Auslan Communication Technologies Pipeline
- A Multi-modal Machine Learning Approach and Toolkit to Automate Recognition of Early Stages of Dementia among British Sign Language Users
- Score-level Multi Cue Fusion for Sign Language Recognition
- Unsupervised Discovery of Sign Terms by K-Nearest Neighbours Approach
- Improving Keyword Search Performance in Sign Language with Hand Shape Features
- W16 - Visual Inductive Priors for Data-Efficient Deep Learning
- Lightweight Action Recognition in Compressed Videos
- On sparse connectivity, adversarial robustness, and a novel model of the artificial neuron
- Injecting Prior Knowledge into Image Caption Generation
- Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition
- Unsupervised Learning of Video Representations via Dense Trajectory Clustering
- Distilling Visual Priors from Self-Supervised Learning
- Unsupervised Image Classi cation for Deep Representation Learning
- TDMPNet: Prototype Network with Recurrent Top-Down Modulation for Robust Object Classi cation under Partial Occlusion
- What leads to generalization of object proposals
- A Self-Supervised Framework for Human Instance Segmentation
- Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering
- A visual inductive priors framework for data-efficient image classification
- W18 - 3D Poses In the Wild Challenge
- Predicting Camera Viewpoint Improves Cross-dataset Generalization for 3D Human Pose Estimation
- Beyond Weak Perspective for Monocular 3D Human Pose Estimation
- W20 - Map-based Localization for Autonomous Driving
- Geographically Local Representation Learning with a Spatial Prior for Visual Localization
- W22 - Recovering 6D Object Pose
- BOP Challenge 2020 on 6D Object Localization
- StructureFromGAN: Single Image 3D Model Reconstruction and Photorealistic Texturing
- 6 DoF Pose Estimation of Textureless Objects from Multiple RGB Frames
- Semi-supervised Viewpoint Estimation with Geometry-aware Conditional Generation
- Physical Plausibility of 6D Pose Estimates in Scenes of Static Rigid Objects
- DronePose: Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose Estimation via a Smooth Silhouette Loss
- How to track your dragon: A Multi-Attentional Framework for real-time RGB-D 6-DOF Object Pose Tracking
- Hybrid Approach for 6DoF Pose Estimation
- Leaping from 2D Detection to E cient 6DoF Object Pose Estimation
- W23 - SHApe Recovery from Partial Textured 3D Scans
- Implicit Feature Networks for Texture Completion from Partial 3D Data
- 3DBooSTeR: 3D Body Shape and Texture Recovery
- SHARP 2020: The 1st Shape Recovery from Partial Textured 3D Scans Challenge Results.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-66096-3
- 9783030660963
- Access Restriction:
- Restricted for use by site license.
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