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Computer Vision – ECCV 2016
PlaNet - Photo Geolocation with Convolutional Neural Networks
other
Author(s):
Tobias Weyand
,
Ilya Kostrikov
,
James Philbin
Publication date
(Online):
September 17 2016
Publisher:
Springer International Publishing
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Book Chapter
Publication date (Print):
2016
Publication date (Online):
September 17 2016
Pages
: 37-55
DOI:
10.1007/978-3-319-46484-8_3
SO-VID:
b0b3e7a6-3460-4414-9b9f-33f6b8b384ea
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Book chapters
pp. 3
Query-Focused Extractive Video Summarization
pp. 20
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
pp. 37
PlaNet - Photo Geolocation with Convolutional Neural Networks
pp. 56
Detecting Text in Natural Image with Connectionist Text Proposal Network
pp. 73
Face Recognition Using a Unified 3D Morphable Model
pp. 90
Augmented Feedback in Semantic Segmentation Under Image Level Supervision
pp. 109
Linear Depth Estimation from an Uncalibrated, Monocular Polarisation Image
pp. 126
Online Variational Bayesian Motion Averaging
pp. 143
Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image via Joint Convolutional Neural Fields
pp. 160
ObjectNet3D: A Large Scale Database for 3D Object Recognition
pp. 177
Branching Gaussian Processes with Applications to Spatiotemporal Reconstruction of 3D Trees
pp. 194
Tracking Completion
pp. 210
Inter-battery Topic Representation Learning
pp. 227
Online Adaptation for Joint Scene and Object Classification
pp. 244
Real-Time Facial Segmentation and Performance Capture from RGB Input
pp. 262
Learning Temporal Transformations from Time-Lapse Videos
pp. 278
Interactive Image Segmentation Using Constrained Dominant Sets
pp. 295
Deep Markov Random Field for Image Modeling
pp. 313
A Symmetry Prior for Convex Variational 3D Reconstruction
pp. 329
SPLeaP: Soft Pooling of Learned Parts for Image Classification
pp. 346
Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose Estimation
pp. 362
VolumeDeform: Real-Time Volumetric Non-rigid Reconstruction
pp. 380
$$\pi $$ Match: Monocular vSLAM and Piecewise Planar Reconstruction Using Fast Plane Correspondences
pp. 396
Peripheral Expansion of Depth Information via Layout Estimation with Fisheye Camera
pp. 413
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation
pp. 433
It’s Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos
pp. 450
Kernelized Subspace Ranking for Saliency Detection
pp. 467
Depth-Aware Motion Magnification
pp. 483
Stacked Hourglass Networks for Human Pose Estimation
pp. 500
Real-Time Large-Scale Dense 3D Reconstruction with Loop Closure
pp. 517
Pixel-Level Domain Transfer
pp. 533
Accelerating Convolutional Neural Networks with Dominant Convolutional Kernel and Knowledge Pre-regression
pp. 549
Learning Social Etiquette: Human Trajectory Understanding In Crowded Scenes
pp. 566
Bayesian Image Based 3D Pose Estimation
pp. 583
Efficient and Robust Semi-supervised Learning Over a Sparse-Regularized Graph
pp. 599
Novel Coplanar Line-Points Invariants for Robust Line Matching Across Views
pp. 612
Sparse Representation Based Complete Kernel Marginal Fisher Analysis Framework for Computational Art Painting Categorization
pp. 628
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
pp. 645
Cascaded Continuous Regression for Real-Time Incremental Face Tracking
pp. 662
Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning
pp. 679
Deep Self-correlation Descriptor for Dense Cross-Modal Correspondence
pp. 696
Structured Matching for Phrase Localization
pp. 712
Crossing-Line Crowd Counting with Two-Phase Deep Neural Networks
pp. 727
Revisiting Visual Question Answering Baselines
pp. 740
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue
pp. 757
A Continuous Optimization Approach for Efficient and Accurate Scene Flow
pp. 774
Improving Multi-frame Data Association with Sparse Representations for Robust Near-online Multi-object Tracking
pp. 791
Gated Siamese Convolutional Neural Network Architecture for Human Re-identification
pp. 809
Saliency Detection via Combining Region-Level and Pixel-Level Predictions with CNNs
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