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1The toric sections: a simple introduction
L. Moroni. (2017)cite arxiv:1708.00803Comment: 19 pages, 15 figures.
6 years ago by @analyst
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2017
arxiv
geometry
italy
paper
2017arxivgeometryitalypaper
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2DSAC - Differentiable RANSAC for Camera Localization
E. Brachmann, A. Krull, S. Nowozin, J. Shotton, F. Michel, S. Gumhold, and C. Rother. (2016)cite arxiv:1611.05705Comment: CVPR 2017.
6 years ago by @analyst
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2017
arxiv
computer-vision
cvpr
paper
2017arxivcomputer-visioncvprpaper
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4Deep Reinforcement Learning that Matters
P. Henderson, R. Islam, P. Bachman, J. Pineau, D. Precup, and D. Meger. (2017)cite arxiv:1709.06560Comment: Accepted to the Thirthy-Second AAAI Conference On Artificial Intelligence (AAAI), 2018.
6 years ago by @analyst
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2017
arxiv
deep-learning
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reinforcement-learning
2017arxivdeep-learningpaperreinforcement-learning
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5Software Engineering at Google
F. Henderson. (2017)cite arxiv:1702.01715Comment: 20 pages, single-column, 11pt, version #2.
6 years ago by @analyst
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2017
arxiv
engineering
google
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reference
software
2017arxivengineeringgooglepaperreferencesoftware
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2Semi and Weakly Supervised Semantic Segmentation Using Generative Adversarial Network
N. Souly, C. Spampinato, and M. Shah. (2017)cite arxiv:1703.09695.
6 years ago by @analyst
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2017
GAN
arxiv
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segmentation
2017GANarxivcomputer-visionpapersegmentation
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2Ten simple rules for structuring papers
B. Mensh, and K. Kording. PLOS Computational Biology, 13 (9): 1-9 (September 2017)
6 years ago by @analyst
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2017
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reference
research
2017paperreferenceresearch
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10Mask R-CNN
K. He, G. Gkioxari, P. Dollár, and R. Girshick. (2017)cite arxiv:1703.06870Comment: open source; appendix on more results.
6 years ago by @analyst
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2017
arxiv
facebook
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segmentation
semantic
2017arxivfacebookpapersegmentationsemantic
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3Deformable Convolutional Networks
J. Dai, H. Qi, Y. Xiong, Y. Li, G. Zhang, H. Hu, and Y. Wei. (2017)cite arxiv:1703.06211.
6 years ago by @analyst
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2017
arxiv
cvpr
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shape
2017arxivcvprdeep-learningpapershape
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3ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
A. Dai, A. Chang, M. Savva, M. Halber, T. Funkhouser, and M. Nießner. (2017)cite arxiv:1702.04405.
6 years ago by @analyst
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2017
3D
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computer-vision
cvpr
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20173Darxivcomputer-visioncvprdatasetpaperreconstructionsegmentationsemantic
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3A Conceptual Introduction to Hamiltonian Monte Carlo
M. Betancourt. (2017)arxiv:1701.02434.
6 years ago by @analyst
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2017
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2017arxivmcmcpapersamplingsimulation
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1Deep Quaternion Networks
C. Gaudet, and A. Maida. (2017)cite arxiv:1712.04604Comment: 8 pages, 1 figure.
6 years ago by @analyst
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2017
arxiv
deep-learning
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quaternion
2017arxivdeep-learningpaperquaternion
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2Recent developments and trends in point set registration methods
B. Maiseli, Y. Gu, and H. Gao. Journal of Visual Communication and Image Representation, (2017)
6 years ago by @analyst
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2017
elsevier
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point-cloud
registration
2017elsevierpaperpoint-cloudregistration
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7Representation Learning on Graphs: Methods and Applications
W. Hamilton, R. Ying, and J. Leskovec. (2017)cite arxiv:1709.05584Comment: Published in the IEEE Data Engineering Bulletin, September 2017; version with minor corrections.
6 years ago by @analyst
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2017
arxiv
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2017arxivdeep-learninggraphpaperreview
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3Learning Representations and Generative Models for 3D Point Clouds
P. Achlioptas, O. Diamanti, I. Mitliagkas, and L. Guibas. (2017)cite arxiv:1707.02392.
6 years ago by @analyst
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2017
arxiv
deep-learning
generative
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point-cloud
stanford
2017arxivdeep-learninggenerativepaperpoint-cloudstanford
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1Frustum PointNets for 3D Object Detection from RGB-D Data
C. Qi, W. Liu, C. Wu, H. Su, and L. Guibas. (2017)cite arxiv:1711.08488Comment: 15 pages, 12 figures, 14 tables.
6 years ago by @analyst
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2017
arxiv
detection
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point-cloud
stanford
2017arxivdetectionpaperpoint-cloudstanford
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6PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
C. Qi, L. Yi, H. Su, and L. Guibas. (2017)cite arxiv:1706.02413.
6 years ago by @analyst
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2017
3D
arxiv
deep-learning
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point-cloud
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stanford
20173Darxivdeep-learningpaperpoint-cloudsegmentationstanford
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32Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. Gomez, {. Kaiser, and I. Polosukhin. Advances in Neural Information Processing Systems, page 5998--6008. (2017)
6 years ago by @analyst
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2017
google
nips
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2017googlenipspaper
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2A Benchmark Dataset for 6DoF Object Pose Tracking.
P. Wu, Y. Lee, H. Tseng, H. Ho, M. Yang, and S. Chien. 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct), page 186-191. IEEE Computer Society, (2017)
6 years ago by @analyst
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2017
AR
VR
dataset
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pose
taiwan
tracking
2017ARVRdatasetpaperposetaiwantracking
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2DodecaPen: Accurate 6DoF Tracking of a Passive Stylus
P. Wu, R. Wang, K. Kin, C. Twigg, S. Han, M. Yang, and S. Chien. Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology, page 365--374. New York, NY, USA, ACM, (2017)
6 years ago by @analyst
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2017
acm
computer-vision
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pose
taiwan
tracking
2017acmcomputer-visionpaperposetaiwantracking
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2ADMM ⊇ Projective Dynamics: Fast Simulation of Hyperelastic Models with Dynamic Constraints
M. Overby, G. Brown, J. Li, and R. Narain. IEEE transactions on visualization and computer graphics, 23 (10): 2222--2234 (2017)
6 years ago by @analyst
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2017
graphics
ieee
journal
optimization
paper
tvcg
2017graphicsieeejournaloptimizationpapertvcg
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publications (hide)21
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1The toric sections: a simple introduction

2DSAC - Differentiable RANSAC for Camera Localization

4Deep Reinforcement Learning that Matters

5Software Engineering at Google

2Semi and Weakly Supervised Semantic Segmentation Using Generative Adversarial Network

2Ten simple rules for structuring papers

10Mask R-CNN

3Deformable Convolutional Networks

3ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes

3A Conceptual Introduction to Hamiltonian Monte Carlo

1Deep Quaternion Networks

2Recent developments and trends in point set registration methods

7Representation Learning on Graphs: Methods and Applications

3Learning Representations and Generative Models for 3D Point Clouds

1Frustum PointNets for 3D Object Detection from RGB-D Data

6PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

32Attention is all you need

2A Benchmark Dataset for 6DoF Object Pose Tracking.

2DodecaPen: Accurate 6DoF Tracking of a Passive Stylus

2ADMM ⊇ Projective Dynamics: Fast Simulation of Hyperelastic Models with Dynamic Constraints

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