@inproceedings{pointnet,
author = {Charles, R. and Su, Hao and Kaichun, Mo and Guibas, Leonidas},
year = {2017},
month = {07.},
pages = {77-85},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
title = {{PointNet:} Deep Learning on Point Sets for {3D} Classification and Segmentation},
doi = {10.1109/CVPR.2017.16}
}
@misc{atzmon2018point,
title = {Point Convolutional Neural Networks by Extension Operators},
author = {Matan Atzmon and Haggai Maron and Yaron Lipman},
year = {2018},
eprint = {1803.10091},
archiveprefix = {arXiv},
primaryclass = {cs.CV}
}
@misc{zeiler2013visualizing,
title = {Visualizing and Understanding Convolutional Networks},
author = {Matthew D Zeiler and Rob Fergus},
year = {2013},
eprint = {1311.2901},
archiveprefix = {arXiv},
primaryclass = {cs.CV}
}
@inproceedings{NIPS2012_c399862d,
author = {Krizhevsky, Alex and Sutskever, Ilya and Hinton, Geoffrey E},
booktitle = {Advances in Neural Information Processing Systems},
editor = {F. Pereira and C. J. C. Burges and L. Bottou and K. Q. Weinberger},
pages = {1097--1105},
publisher = {Curran Associates, Inc.},
title = {ImageNet Classification with Deep Convolutional Neural Networks},
url = {https://proceedings.neurips.cc/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf},
volume = {25},
year = {2012}
}
@misc{szegedy2014going,
title = {Going Deeper with Convolutions},
author = {Christian Szegedy and Wei Liu and Yangqing Jia and Pierre Sermanet and Scott Reed and Dragomir Anguelov and Dumitru Erhan and Vincent Vanhoucke and Andrew Rabinovich},
year = {2014},
eprint = {1409.4842},
archiveprefix = {arXiv},
primaryclass = {cs.CV}
}
@misc{he2015deep,
title = {Deep Residual Learning for Image Recognition},
author = {Kaiming He and Xiangyu Zhang and Shaoqing Ren and Jian Sun},
year = {2015},
eprint = {1512.03385},
archiveprefix = {arXiv},
primaryclass = {cs.CV}
}
@misc{fully,
title = {Fully Convolutional Networks for Semantic Segmentation},
author = {Jonathan Long and Evan Shelhamer and Trevor Darrell},
year = {2014},
eprint = {1411.4038},
archiveprefix = {arXiv},
primaryclass = {cs.CV}
}
@misc{deconvolution,
title = {Learning Deconvolution Network for Semantic Segmentation},
author = {Hyeonwoo Noh and Seunghoon Hong and Bohyung Han},
year = {2015},
eprint = {1505.04366},
archiveprefix = {arXiv},
primaryclass = {cs.CV}
}
@inproceedings{unet,
author = {Ronneberger, Olaf and Fischer, Philipp and Brox, Thomas},
year = {2015},
month = {10.},
pages = {234-241},
title = {{U-Net:} Convolutional Networks for Biomedical Image Segmentation},
volume = {9351},
isbn = {978-3-319-24573-7},
journal = {LNCS},
doi = {10.1007/978-3-319-24574-4_28}
}
@misc{biasutti2019lunet,
title = {LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net},
author = {Pierre Biasutti and Vincent Lepetit and Jean-François Aujol and Mathieu Brédif and Aurélie Bugeau},
year = {2019},
eprint = {1908.11656},
archiveprefix = {arXiv},
primaryclass = {cs.CV}
}
@article{tumor,
title = {Brain tumor segmentation with Deep Neural Networks},
volume = {35},
issn = {1361-8415},
url = {http://dx.doi.org/10.1016/j.media.2016.05.004},
doi = {10.1016/j.media.2016.05.004},
journal = {Medical Image Analysis},
publisher = {Elsevier BV},
author = {Havaei, Mohammad and Davy, Axel and Warde-Farley, David and Biard, Antoine and Courville, Aaron and Bengio, Yoshua and Pal, Chris and Jodoin, Pierre-Marc and Larochelle, Hugo},
year = {2017},
month = {Jan},
pages = {18–31}
}
@misc{redmon2016look,
title = {You Only Look Once: Unified, Real-Time Object Detection},
author = {Joseph Redmon and Santosh Divvala and Ross Girshick and Ali Farhadi},
year = {2016},
eprint = {1506.02640},
archiveprefix = {arXiv},
primaryclass = {cs.CV}
}
@misc{lin2018focal,
title = {Focal Loss for Dense Object Detection},
author = {Tsung-Yi Lin and Priya Goyal and Ross Girshick and Kaiming He and Piotr Dollár},
year = {2018},
eprint = {1708.02002},
archiveprefix = {arXiv},
primaryclass = {cs.CV}
}
@inproceedings{10.1007/978-3-319-10602-1_26,
author = {Zitnick, C. Lawrence
and Doll{\'a}r, Piotr},
editor = {Fleet, David
and Pajdla, Tomas
and Schiele, Bernt
and Tuytelaars, Tinne},
title = {Edge Boxes: Locating Object Proposals from Edges},
booktitle = {Computer Vision -- ECCV 2014},
year = {2014},
publisher = {Springer International Publishing},
address = {Cham},
pages = {391--405},
isbn = {978-3-319-10602-1}
}
@misc{hasanpour2018lets,
title = {Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures},
author = {Seyyed Hossein Hasanpour and Mohammad Rouhani and Mohsen Fayyaz and Mohammad Sabokrou},
year = {2018},
eprint = {1608.06037},
archiveprefix = {arXiv},
primaryclass = {cs.CV}
}
@article{8839782,
author = {T. {Zebin} and P. J. {Scully} and N. {Peek} and A. J. {Casson} and K. B. {Ozanyan}},
journal = {IEEE Access},
title = {Design and Implementation of a Convolutional Neural Network on an Edge Computing Smartphone for Human Activity Recognition},
year = {2019},
volume = {7},
number = {},
pages = {133509-133520},
doi = {10.1109/ACCESS.2019.2941836}
}
@inproceedings{Coleman2017DAWNBenchA,
title = {DAWNBench : An End-to-End Deep Learning Benchmark and Competition},
author = {Cody A. Coleman and D. Narayanan and Daniel Kang and T. Zhao and Jian Zhang and L. Nardi and Peter Bailis and K. Olukotun and C. R{\'e} and M. Zaharia},
year = {2017}
}
@misc{ng,
added-at = {2016-11-24T22:48:07.000+0100},
author = {Ng, Andrew},
timestamp = {2016-11-24T22:48:07.000+0100},
title = {{CS229} Lecture notes - Supervised learning},
year = 2012,
howpublished = {\url{https://see.stanford.edu/Course/CS229}}
}
@misc{cs231,
added-at = {2016-11-24T22:48:07.000+0100},
author = {Byun, Amelie},
title = {{CS231n} Lecture notes - Convolutional Neural Networks for Visual Recognition},
year = 2017,
howpublished = {\url{https://cs231n.github.io/}}
}
@book{Goodfellow-et-al-2016,
title = {Deep Learning},
author = {Ian Goodfellow and Yoshua Bengio and Aaron Courville},
publisher = {MIT Press},
note = {\url{http://www.deeplearningbook.org}},
year = {2016}
}
@book{ml,
author = {Gron, Aurlien},
title = {Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems},
year = {2017},
isbn = {1491962291},
publisher = {O’Reilly Media, Inc.},
edition = {1st}
}
@book{franoischollet2017learning,
added-at = {2018-08-01T08:16:18.000+0200},
author = {Chollet, François},
biburl = {https://www.bibsonomy.org/bibtex/231f94815ebbd65d3a31e4a69e818573e/jaeschke},
interhash = {cfbfd3f93853a469e5e6978f61a74a0a},
intrahash = {31f94815ebbd65d3a31e4a69e818573e},
isbn = {9781617294433},
month = nov,
publisher = {Manning},
timestamp = {2018-08-01T08:16:18.000+0200},
title = {Deep Learning with Python },
year = 2017
}
This file was generated by bibtex2html 1.98.