This completed downloadable of Computer Vision ECCV 2020 16th European Conference Glasgow UK August 23 28 2020 Proceedings Part III Andrea Vedaldi
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Product details:
- ISBN-10 : 3030585794
- ISBN-13 : 978-3030585792
- Author:
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:
- SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing
- LIMP: Learning Latent Shape Representations with Metric Preservation Priors
- Unsupervised Sketch to Photo Synthesis
- A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions
- SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification
- Hierarchical Face Aging Through Disentangled Latent Characteristics
- Hybrid Models for Open Set Recognition
- TopoGAN: A Topology-Aware Generative Adversarial Network
- Learning to Localize Actions from Moments
- ForkGAN: Seeing into the Rainy Night
- TCGM: An Information-Theoretic Framework for Semi-supervised Multi-modality Learning
- ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval
- TSIT: A Simple and Versatile Framework for Image-to-Image Translation
- ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices
- HMOR: Hierarchical Multi-person Ordinal Relations for Monocular Multi-person 3D Pose Estimation
- Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve
- A Unified Framework of Surrogate Loss by Refactoring and Interpolation
- Deep Reflectance Volumes: Relightable Reconstructions from Multi-view Photometric Images
- Memory-Augmented Dense Predictive Coding for Video Representation Learning
- PointMixup: Augmentation for Point Clouds
- Identity-Guided Human Semantic Parsing for Person Re-identification
- Learning Gradient Fields for Shape Generation
- COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder
- Corner Proposal Network for Anchor-Free, Two-Stage Object Detection
- PhraseClick: Toward Achieving Flexible Interactive Segmentation by Phrase and Click
- Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing
- Learning Delicate Local Representations for Multi-person Pose Estimation
- Learning to Plan with Uncertain Topological Maps
- Neural Design Network: Graphic Layout Generation with Constraints
- Learning Open Set Network with Discriminative Reciprocal Points
- Convolutional Occupancy Networks
- Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-view Geometry
- TIDE: A General Toolbox for Identifying Object Detection Errors
- PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
- DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation
- Circumventing Outliers of AutoAugment with Knowledge Distillation
- S2DNet: Learning Image Features for Accurate Sparse-to-Dense Matching
- RTM3D: Real-Time Monocular 3D Detection from Object Keypoints for Autonomous Driving
- Video Object Segmentation with Episodic Graph Memory Networks
- Rethinking Bottleneck Structure for Efficient Mobile Network Design
- Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks
- Towards Part-Aware Monocular 3D Human Pose Estimation: An Architecture Search Approach
- REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets
- Contrastive Learning for Weakly Supervised Phrase Grounding
- Collaborative Learning of Gesture Recognition and 3D Hand Pose Estimation with Multi-order Featur
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