ScienceOpen:
research and publishing network
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
My ScienceOpen
Sign in
Register
Dashboard
Blog
About
Search
Advanced search
My ScienceOpen
Sign in
Register
Dashboard
Search
Search
Advanced search
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
Blog
About
45
views
0
references
Top references
cited by
2
Cite as...
0 reviews
Review
0
comments
Comment
0
recommends
+1
Recommend
0
collections
Add to
0
shares
Share
Twitter
Sina Weibo
Facebook
Email
3,106
similar
All similar
Record
: found
Abstract
: not found
Book
: not found
Computer Vision – ECCV 2016 Workshops : Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part III
other
Editor(s):
Gang Hua
,
Hervé Jégou
Publication date
(Print):
2016
Publisher:
Springer International Publishing
Read this book at
Publisher
Buy book
Review
Review book
Invite someone to review
Bookmark
Cite as...
There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.
Related collections
Electronic Workshops in Computing (eWiC)
Author and book information
Book
ISBN (Print):
978-3-319-49408-1
ISBN (Electronic):
978-3-319-49409-8
Publication date (Print):
2016
DOI:
10.1007/978-3-319-49409-8
SO-VID:
bda082a3-c0e7-48b9-93cb-6ebfda5c80fa
License:
http://www.springer.com/tdm
http://www.springer.com/tdm
History
Data availability:
Comments
Comment on this book
Sign in to comment
Book chapters
pp. 11
Human Action Recognition Without Human
pp. 18
Motion Representation with Acceleration Images
pp. 25
Segmentation Free Object Discovery in Video
pp. 32
Human Pose Estimation in Space and Time Using 3D CNN
pp. 40
Autonomous Driving Challenge: To Infer the Property of a Dynamic Object Based on Its Motion Pattern
pp. 47
Temporal Convolutional Networks: A Unified Approach to Action Segmentation
pp. 55
Making a Case for Learning Motion Representations with Phase
pp. 67
gvnn: Neural Network Library for Geometric Computer Vision
pp. 83
On-Line Large Scale Semantic Fusion
pp. 100
Learning Covariant Feature Detectors
pp. 118
Scene Segmentation Driven by Deep Learning and Surface Fitting
pp. 143
A CNN Cascade for Landmark Guided Semantic Part Segmentation
pp. 156
3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information
pp. 186
Deep Kinematic Pose Regression
pp. 202
How Useful Is Photo-Realistic Rendering for Visual Learning?
pp. 251
Deep Shape from a Low Number of Silhouettes
pp. 280
Class-Specific Object Pose Estimation and Reconstruction Using 3D Part Geometry
pp. 296
Monocular Surface Reconstruction Using 3D Deformable Part Models
pp. 311
Deep Bimodal Regression for Apparent Personality Analysis
pp. 325
SASE: RGB-Depth Database for Human Head Pose Estimation
pp. 337
Bi-modal First Impressions Recognition Using Temporally Ordered Deep Audio and Stochastic Visual Features
pp. 359
Deep Learning for Facial Action Unit Detection Under Large Head Poses
pp. 386
The Static Multimodal Dyadic Behavior Dataset for Engagement Prediction
pp. 400
ChaLearn LAP 2016: First Round Challenge on First Impressions - Dataset and Results
pp. 419
Overcoming Calibration Problems in Pattern Labeling with Pairwise Ratings: Application to Personality Traits
pp. 467
Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers
pp. 492
VLAD Is not Necessary for CNN
pp. 524
Hard Negative Mining for Metric Learning Based Zero-Shot Classification
pp. 595
Physical Reasoning for 3D Object Recognition Using Global Hypothesis Verification
pp. 606
On Evaluation of 6D Object Pose Estimation
pp. 620
Reconstructing Articulated Rigged Models from RGB-D Videos
pp. 665
Towards Categorization and Pose Estimation of Sets of Occluded Objects in Cluttered Scenes from Depth Data and Generic Object Models Using Joint Parsing
pp. 685
The CUDA LATCH Binary Descriptor: Because Sometimes Faster Means Better
pp. 724
Evaluating Local Features for Day-Night Matching
pp. 747
Learning Local Convolutional Features for Face Recognition with 2D-Warping
pp. 789
Point-Wise Mutual Information-Based Video Segmentation with High Temporal Consistency
pp. 821
3D Point Cloud Video Segmentation Based on Interaction Analysis
pp. 836
Deep Learning Based Fence Segmentation and Removal from an Image Using a Video Sequence
pp. 852
Clockwork Convnets for Video Semantic Segmentation
pp. 871
Learning Markerless Human Pose Estimation from Multiple Viewpoint Video
pp. 901
Enhancing Place Recognition Using Joint Intensity - Depth Analysis and Synthetic Data
pp. 909
UnrealCV: Connecting Computer Vision to Unreal Engine
Similar content
3,106
Comparison of optotypes of Amsterdam Picture Chart with those of Tumbling-E, LEA symbols, ETDRS, and Landolt-C in non-amblyopic and amblyopic patients.
Authors:
O Engin
,
D Despriet
,
H van der Meulen-Schot
…
Thesis, Amsterdam
Authors:
GJF Lo-A-Njoe
Pathways into homelessness: recently homeless adults problems and service use before and after becoming homeless in Amsterdam
Authors:
van Laere
See all similar
Cited by
2
Pre-trained deep learning-based classification of jujube fruits according to their maturity level
Authors:
Atif Mahmood
,
Sanjay Kumar Singh
,
Amod Kumar Tiwari
Camera Calibration Using Gray Code
Authors:
Seppe Sels
,
Bart Ribbens
,
Steve Vanlanduit
…
See all cited by