Computer Vision ECCV 2020 16th European Conference Glasgow UK August 23 28 2020 Proceedings Part XXIV 1st edition by Andrea Vedaldi 3030585425 9783030585426

Computer Vision ECCV 2020 16th European Conference Glasgow UK August 23 28 2020 Proceedings Part XXIV 1st edition by Andrea Vedaldi – Ebook Instant Download/Delivery ISBN(s): 3030585425, 9783030585426

Product details:

• ISBN 10: 3030585425
• ISBN 13: 9783030585426
• Author: Andrea

The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Table of contents:

Object Tracking Using Spatio-Temporal Networks for Future Prediction Location

Pillar-Based Object Detection for Autonomous Driving

Sparse Adversarial Attack via Perturbation Factorization

3D Scene Reconstruction from a Single Viewport

Learning to Optimize Domain Specific Normalization for Domain Generalization

Self-supervised Outdoor Scene Relighting

Privacy Preserving Visual SLAM

Leveraging Acoustic Images for Effective Self-supervised Audio Representation Learning

Learning Joint Visual Semantic Matching Embeddings for Language-Guided Retrieval

Globally Optimal and Efficient Vanishing Point Estimation in Atlanta World

StyleGAN2 Distillation for Feed-Forward Image Manipulation

Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds

Learning Disentangled Representations via Mutual Information Estimation

Challenge-Aware RGBT Tracking

Fully Trainable and Interpretable Non-local Sparse Models for Image Restoration

AutoSimulate: (Quickly) Learning Synthetic Data Generation

LatticeNet: Towards Lightweight Image Super-Resolution with Lattice Block

Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation

Active Visual Information Gathering for Vision-Language Navigation

Deep Hough-Transform Line Priors

Unsupervised Shape and Pose Disentanglement for 3D Meshes

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