Computer Vision ECCV 2018 Workshops 1st edition by Laura Leal Taixé, Stefan Roth – Ebook PDF Instant Download/Delivery: 3030110117 , 978-3030110116
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ISBN 10: 3030110117
ISBN 13: 978-3030110116
Author: Laura Leal Taixé, Stefan Roth
The six-volume set comprising the LNCS volumes 11129-11134 constitutes the refereed proceedings of the workshops that took place in conjunction with the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.43 workshops from 74 workshops proposals were selected for inclusion in the proceedings. The workshop topics present a good orchestration of new trends and traditional issues, built bridges into neighboring fields, and discuss fundamental technologies and novel applications.
Computer Vision ECCV 2018 Workshops 1st Table of contents:
- W07 – 2nd International Workshop on Computer Vision for UAVs
- Real-Time Embedded Computer Vision on UAVs
- Teaching UAVs to Race: End-to-End Regression of Agile Controls in Simulation
- Onboard Hyperspectral Image Compression Using Compressed Sensing and Deep Learning
- SafeUAV: Learning to Estimate Depth and Safe Landing Areas for UAVs from Synthetic Data
- Aerial GANeration: Towards Realistic Data Augmentation Using Conditional GANs
- Metrics for Real-Time Mono-VSLAM Evaluation Including IMU Induced Drift with Application to UAV Flight
- ShuffleDet: Real-Time Vehicle Detection Network in On-Board Embedded UAV Imagery
- Joint Exploitation of Features and Optical Flow for Real-Time Moving Object Detection on Drones
- UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition
- ChangeNet: A Deep Learning Architecture for Visual Change Detection
- W08 – 5th Transferring and Adapting Source Knowledge in Computer Vision and 2nd VisDA Challenge
- DeeSIL: Deep-Shallow Incremental Learning
- Dynamic Adaptation on Non-stationary Visual Domains
- Domain Adaptive Semantic Segmentation Through Structure Enhancement
- Adding New Tasks to a Single Network with Weight Transformations Using Binary Masks
- Generating Shared Latent Variables for Robots to Imitate Human Movements and Understand Their Physical Limitations
- Model Selection for Generalized Zero-Shot Learning
- W09 – PoseTrack Challenge: Articulated People Tracking in the Wild
- Multi-Domain Pose Network for Multi-Person Pose Estimation and Tracking
- Enhanced Two-Stage Multi-person Pose Estimation
- Multi-person Pose Estimation for Pose Tracking with Enhanced Cascaded Pyramid Network
- A Top-Down Approach to Articulated Human Pose Estimation and Tracking
- W10 – Workshop on Objectionable Content and Misinformation
- Deep Fusion Network for Splicing Forgery Localization
- Image Splicing Localization via Semi-global Network and Fully Connected Conditional Random Fields
- Bridging Machine Learning and Cryptography in Defence Against Adversarial Attacks
- Bidirectional Convolutional LSTM for the Detection of Violence in Videos
- Are You Tampering with My Data?
- Adversarial Examples Detection in Features Distance Spaces
- W11 – 9th International Workshop on Human Behavior Understanding
- Give Ear to My Face: Modelling Multimodal Attention to Social Interactions
- Investigating Depth Domain Adaptation for Efficient Human Pose Estimation
- Filling the Gaps: Predicting Missing Joints of Human Poses Using Denoising Autoencoders
- Pose Guided Human Image Synthesis by View Disentanglement and Enhanced Weighting Loss
- A Semi-supervised Data Augmentation Approach Using 3D Graphical Engines
- Towards Learning a Realistic Rendering of Human Behavior
- Human Action Recognition Based on Temporal Pose CNN and Multi-dimensional Fusion
- Rendering Realistic Subject-Dependent Expression Images by Learning 3DMM Deformation Coefficients
- Deep Multitask Gaze Estimation with a Constrained Landmark-Gaze Model
- Photorealistic Facial Synthesis in the Dimensional Affect Space
- Generating Synthetic Video Sequences by Explicitly Modeling Object Motion
- A Semi-supervised Deep Generative Model for Human Body Analysis
- Role of Group Level Affect to Find the Most Influential Person in Images
- Residual Stacked RNNs for Action Recognition
- W12 – 1st Person in Context Workshop and Challenge
- Semantically Selective Augmentation for Deep Compact Person Re-Identification
- Recognizing People in Blind Spots Based on Surrounding Behavior
- Visual Relationship Prediction via Label Clustering and Incorporation of Depth Information
- Human-Centric Visual Relation Segmentation Using Mask R-CNN and VTransE
- Learning Spatiotemporal 3D Convolution with Video Order Self-supervision
- W13 – 4th Workshop on Computer Vision for Art Analysis
- What Was Monet Seeing While Painting? Translating Artworks to Photo-Realistic Images
- Saliency-Driven Variational Retargeting for Historical Maps
- Deep Transfer Learning for Art Classification Problems
- Reflecting on How Artworks Are Processed and Analyzed by Computer Vision
- Seeing the World Through Machinic Eyes: Reflections on Computer Vision in the Arts
- A Digital Tool to Understand the Pictorial Procedures of 17 Century Realism
- How to Read Paintings: Semantic Art Understanding with Multi-modal Retrieval
- Weakly Supervised Object Detection in Artworks
- Images of Image Machines. Visual Interpretability in Computer Vision for Art
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Tags: Laura Leal Taixé, Stefan Roth, Computer Vision, ECCV 2018


