Computer Vision ECCV 2018 15th European Conference Munich Germany September 8 14 2018 Proceedings Part III 1st Edition by Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss ISBN 3030012182 978-3030012182

Computer Vision ECCV 2018 15th European Conference Munich Germany September 8 14 2018 Proceedings Part III 1st Edition by Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss – Ebook PDF Instant Download/Delivery: 3030012182, 978-3030012182 

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Product details:

ISBN 10: 3030012182 

ISBN 13: 978-3030012182 

Author:  Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss

The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization; matching and recognition; video attention; and poster sessions.

Table of contents: 

1. CBAM: Convolutional Block Attention Module
2. BodyNet: Volumetric Inference of 3D Human Body Shapes
3. Learning to Segment via Cut-and-Paste
4. Explainable Neural Computation via Stack Neural Module Networks
5. Learning to Blend Photos
6. Switchable Temporal Propagation Network
7. Multiresolution Tree Networks for 3D Point Cloud Processing
8. Propagating LSTM: 3D Pose Estimation Based on Joint Interdependency
9. Deformable Pose Traversal Convolution for 3D Action and Gesture Recognition
10. HybridNet: Classification and Reconstruction Cooperation for Semi-supervised Learning
11. Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild
12. Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image
13. Escaping from Collapsing Modes in a Constrained Space
14. Leveraging Motion Priors in Videos for Improving Human Segmentation
15. Analyzing Clothing Layer Deformation Statistics of 3D Human Motions
16. Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining
17. Iterative Crowd Counting
18. Image Super-Resolution Using Very Deep Residual Channel Attention Networks
19. Layer-Structured 3D Scene Inference via View Synthesis
20. Real-Time ‘Actor-Critic’ Tracking
21. Deep Bilinear Learning for RGB-D Action Recognition
22. Superpixel Sampling Networks
23. Towards Robust Neural Networks via Random Self-ensemble
24. EC-Net: An Edge-Aware Point Set Consolidation Network
25. 3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation
26. Learning to Capture Light Fields Through a Coded Aperture Camera
27. End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners
28. Coreset-Based Neural Network Compression
29. A Joint Sequence Fusion Model for Video Question Answering and Retrieval
30. Saliency Detection in 360 Videos
31. Localization Recall Precision (LRP): A New Performance Metric for Object Detection
32. Lip Movements Generation at a Glance
33. Small-Scale Pedestrian Detection Based on Topological Line Localization and Temporal Feature Aggregation
34. VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions
35. Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation
36. CIRL: Controllable Imitative Reinforcement Learning for Vision-Based Self-driving
37. Statistically-Motivated Second-Order Pooling
38. Perturbation Robust Representations of Topological Persistence Diagrams
39. SegStereo: Exploiting Semantic Information for Disparity Estimation
40. Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow
41. Normalized Blind Deconvolution
42. Improving Generalization via Scalable Neighborhood Component Analysis
43. Proximal Dehaze-Net: A Prior Learning-Based Deep Network for Single Image Dehazing
44. SDC-Net: Video Prediction Using Spatially-Displaced Convolution
45. Person Search via a Mask-Guided Two-Stream CNN Model
46. Compound Memory Networks for Few-Shot Video Classification
47. T-Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks
48. AMC: AutoML for Model Compression and Acceleration on Mobile Devices
49. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

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Vittorio Ferrari,Martial Hebert,Cristian Sminchisescu,Yair Weiss,Computer Vision,European Conference Munich,Germany