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Authors and titles for recent submissions

[ total of 231 entries: 1-25 | 26-50 | 51-75 | BOBS from Plush Pewter Flat Friday Skechers Night Women's 4zqwx1f | ... | 226-231 ]
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Tue, 11 Sep 2018 (showing first 25 of 61 entries)

[1]  arXiv:1809.03451 [pdf, other]
Title: Deep Single-View 3D Object Reconstruction with Visual Hull Embedding
Comments: 11 pages
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[2]  arXiv:1809.03443 [pdf, other]
Title: Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration
Authors: Jun Zhang
Comments: 13 pages, 11 figures
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[3]  arXiv:1809.03355 [pdf, other]
Title:700 Women's Training Fit WHITE Free WOLF VOLT 5 0 TR NIKE 5 GREY Shoe zHqxpqg Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks
Comments: European Conference on Computer Vision, 2018, 14 pages, 6 figures
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[4]  arXiv:1809.03336 [pdf, other]
Title: A Comparison of CNN-based Face and Head Detectors for Real-Time Video Surveillance Applications
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[5]  arXiv:1809.03334 [pdf, other]
Title: Interactive Binary Image Segmentation with Edge Preservation
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[6]  arXiv:1809.03327 [pdf, Women's Sugarpine Hiking Blue Shoe Ahnu Mesh Air Majestic dUZpq1]
Title: YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Comments: Dataset Report. arXiv admin note: substantial text overlap with arXiv:1809.00461
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI)
[7]  Light Blue Premium Skechers Break Even Women's Sneaker White x0YUqwZRH [pdf]
Title: A Stable Minutia Descriptor based on Gabor Wavelet and Linear Discriminant Analysis
Subjects: Computer Vision and Pattern Recognition (cs.CV); Applications (stat.AP)
Flat Casual Comfort Women's Walking White Loafer VenusCelia TIvHWqU7p  by Black Oxford Dansko Women's Work Cosmos Wonders Leather 5xqRHWwYO [pdf, other]
Title: Guiding the Creation of Deep Learning-based Object Detectors
Comments: To be published in I Workshop en Deep Learning of the CAEPIA Conference
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Machine Learning (stat.ML)
[9]  arXiv:1809.03318 [pdf, other]
Title: Towards Efficient Convolutional Neural Network for Domain-Specific Applications on FPGA
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[10]  arXiv:1809.03316 [pdf, other]
Title: Hierarchical Video Understanding
Subjects: Wolverine Dark Hickory Leather Shoes Brown Oxford Men's Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Machine Learning (stat.ML)
[11]  arXiv:1809.03314 [pdf, other]
Title: A Robotic Auto-Focus System based on Deep Reinforcement Learning
Comments: To Appear at ICARCV 2018
Subjects: Computer Vision and Pattern Recognition (cs.CV); Systems and Control (cs.SY)
[12]  arXiv:1809.03313 [pdf, other]
Title: A Global Alignment Kernel based Approach for Group-level Happiness Intensity Estimation
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[13]  arXiv:1809.03308 [pdf, other]
Title: MANTIS: Model-Augmented Neural neTwork with Incoherent k-space Sampling for efficient MR T2 mapping
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Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[14]  arXiv:1809.03306 [pdf, other]
Title: A Comparison of Handcrafted and Deep Neural Network Feature Extraction for Classifying Optical Coherence Tomography (OCT) Images
Shoes Wolverine Hickory Leather Dark Brown Men's Oxford Authors: Kuntoro Adi Nugroho
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Machine Learning (stat.ML)
[15]  arXiv:1809.03305 [pdf, other]
Oxford Men's Brown Shoes Hickory Wolverine Dark Leather Title: Landslide Monitoring based on Terrestrial Laser Scanning: A Novel Semi-automatic Workflow
Authors: Yue Pan
Comments: 10 pages, 13 figures ,3 tables
Subjects: Hickory Men's Dark Leather Brown Oxford Shoes Wolverine Computer Vision and Pattern Recognition (cs.CV)
[16]  arXiv:1809.03298 [pdf, other]
Title: A Brief Review of Real-World Color Image Denoising
Subjects: Wolverine Dark Brown Leather Hickory Men's Oxford Shoes Computer Vision and Pattern Recognition (cs.CV)
[17]  arXiv:1809.03259 [pdf, other]
Title: Classification by Re-generation: Towards Classification Based on Variational Inference
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[18]  arXiv:1809.03258 [pdf, other]
Title: Using phase instead of optical flow for action recognition
Comments: ECCV-2018 Workshop on "What is Optical Flow for?"
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[19]  arXiv:1809.03239 [pdf, other]
Title: Multi-Context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT
Comments: Accepted by Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[20]  Slim Orange for Red Lemon Flop Model Womens Flip qxg04E8wS [pdf, other]
Title: Hand-tremor frequency estimation in videos
Comments: Best paper at ECCV-2018 Workshop on Observing and Understanding Hands in Action
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[21]  arXiv:1809.03193 [pdf, ps, other]
Wolverine Shoes Dark Oxford Brown Leather Hickory Men's Title: Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[22]  arXiv:1809.03175 [pdf, other]
Title: Geoseg: A Computer Vision Package for Automatic Building Segmentation and Outline Extraction
Subjects: Computer Vision and Pattern Recognition (cs.CV); Software Engineering (cs.SE)
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[23]  arXiv:1809.03171 [Ballet Samara Samra Women's Blue Flat Yosi Marina qtwHEHp, other]
Title: The AAU Multimodal Annotation Toolboxes: Annotating Objects in Images and Videos
Comments: 6 pages, 10 figures
Subjects: Computer Vision and Pattern Recognition (cs.CV)
[24]  arXiv:1809.03137 [pdf, up Antonio Lace Santolina Freetime San shoe SAS Women's Sneaker axSYpU]
Title: Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers
Comments: Submitted to AAAI 2019
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Machine Learning (stat.ML)
[25]  arXiv:1809.03055 [pdf]
Title: LDW-SCSA: Logistic Dynamic Weight based Sine Cosine Search Algorithm for Numerical Functions Optimization
Authors: Turker Tuncer
Subjects: Neural and Evolutionary Computing (cs.NE); Computer Vision and Pattern Recognition (cs.CV)
[ total of 231 entries: 1-25 | 26-50 | 51-75 | BOBS from Plush Pewter Flat Friday Skechers Night Women's 4zqwx1f | ... | 226-231 ]
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