bibliography.bib

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%  An example of a bibliographical database for bibTeX
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%  Recommended software for maintenance of *.bib files:
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%  BEWARE:
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%    *  If a name contains a capital letter, which must be kept such,
%       use curly brackets ({T}hailand, {HIV}).
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@INPROCEEDINGS{bib:resnet,
  title = {Deep residual learning for image recognition},
  author = {Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  publisher = {{IEEE} Computer Society},
  address = {Las Vegas, NV, USA},
  year = {2016},
  pages = {770--778},
  ISBN = {978-1-4673-8851-1}
}

@book{bib:dlbook,
    title={Deep Learning},
    author={Ian Goodfellow and Yoshua Bengio and Aaron Courville},
    publisher={MIT Press},
    note={\url{http://www.deeplearningbook.org}},
    year={2016}
}

@article{bib:vgg,
  title={Very deep convolutional networks for large-scale image recognition},
  author={Simonyan, Karen and Zisserman, Andrew},
  journal={arXiv preprint arXiv:1409.1556},
  year={2014}
}

@inproceedings{bib:alexnet,
  title={Imagenet classification with deep convolutional neural networks},
  author={Krizhevsky, Alex and Sutskever, Ilya and Hinton, Geoffrey E},
  booktitle={Advances in neural information processing systems},
  pages={1097--1105},
  year={2012}
}
@inproceedings{bib:nasnet,
  title={Learning transferable architectures for scalable image recognition},
  author={Zoph, Barret and Vasudevan, Vijay and Shlens, Jonathon and Le, Quoc V},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={8697--8710},
  year={2018}
}

@inproceedings{bib:googlenet,
  title={Going deeper with convolutions},
  author={Szegedy, Christian and Liu, Wei and Jia, Yangqing and Sermanet, Pierre and Reed, Scott and Anguelov, Dragomir and Erhan, Dumitru and Vanhoucke, Vincent and Rabinovich, Andrew},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={1--9},
  year={2015}
}

@inproceedings{bib:inception2,
  title={Rethinking the inception architecture for computer vision},
  author={Szegedy, Christian and Vanhoucke, Vincent and Ioffe, Sergey and Shlens, Jon and Wojna, Zbigniew},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={2818--2826},
  year={2016}
}

@inproceedings{bib:vanishGradient,
  title={Understanding the difficulty of training deep feedforward neural networks},
  author={Glorot, Xavier and Bengio, Yoshua},
  booktitle={Proceedings of the thirteenth international conference on artificial intelligence and statistics},
  pages={249--256},
  year={2010}
}


@inproceedings{bib:xception,
  title={Xception: Deep learning with depthwise separable convolutions},
  author={Chollet, Fran{\c{c}}ois},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={1251--1258},
  year={2017}
}

@article{bib:cnnbenchmark,
  title={Benchmark Analysis of Representative Deep Neural Network Architectures},
  author={Bianco, Simone and Cadene, Remi and Celona, Luigi and Napoletano, Paolo},
  journal={IEEE Access},
  volume={6},
  pages={64270--64277},
  year={2018},
  publisher={IEEE}
}

@inproceedings{bib:rcnn,
  title={Rich feature hierarchies for accurate object detection and semantic segmentation},
  author={Girshick, Ross and Donahue, Jeff and Darrell, Trevor and Malik, Jitendra},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={580--587},
  year={2014}
}

@inproceedings{bib:fastrcnn,
  title={Fast r-cnn},
  author={Girshick, Ross},
  booktitle={Proceedings of the IEEE international conference on computer vision},
  pages={1440--1448},
  year={2015}
}

@inproceedings{bib:fasterrcnn,
  title={Faster r-cnn: Towards real-time object detection with region proposal networks},
  author={Ren, Shaoqing and He, Kaiming and Girshick, Ross and Sun, Jian},
  booktitle={Advances in neural information processing systems},
  pages={91--99},
  year={2015}
}

@inproceedings{bib:maskrcnn,
  title={Mask r-cnn},
  author={He, Kaiming and Gkioxari, Georgia and Doll{\'a}r, Piotr and Girshick, Ross},
  booktitle={Proceedings of the IEEE international conference on computer vision},
  pages={2961--2969},
  year={2017}
}

@article{bib:selectivesearch,
  title={Selective search for object recognition},
  author={Uijlings, Jasper RR and Van De Sande, Koen EA and Gevers, Theo and Smeulders, Arnold WM},
  journal={International journal of computer vision},
  volume={104},
  number={2},
  pages={154--171},
  year={2013},
  publisher={Springer}
}

@article{bib:deepOnGpu,
  title={Deep, big, simple neural nets for handwritten digit recognition},
  author={Cire{\c{s}}an, Dan Claudiu and Meier, Ueli and Gambardella, Luca Maria and Schmidhuber, J{\"u}rgen},
  journal={Neural computation},
  volume={22},
  number={12},
  pages={3207--3220},
  year={2010},
  publisher={MIT Press}
}

@inproceedings{bib:yolo,
  title={You only look once: Unified, real-time object detection},
  author={Redmon, Joseph and Divvala, Santosh and Girshick, Ross and Farhadi, Ali},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={779--788},
  year={2016}
}

@inproceedings{bib:ssd,
  title={Ssd: Single shot multibox detector},
  author={Liu, Wei and Anguelov, Dragomir and Erhan, Dumitru and Szegedy, Christian and Reed, Scott and Fu, Cheng-Yang and Berg, Alexander C},
  booktitle={European conference on computer vision},
  pages={21--37},
  year={2016},
  organization={Springer}
}

@article{bib:overfeat,
  title={Overfeat: Integrated recognition, localization and detection using convolutional networks},
  author={Sermanet, Pierre and Eigen, David and Zhang, Xiang and Mathieu, Micha{\"e}l and Fergus, Rob and LeCun, Yann},
  journal={arXiv preprint arXiv:1312.6229},
  year={2013}
}

@inproceedings{bib:yolo9000,
  title={YOLO9000: better, faster, stronger},
  author={Redmon, Joseph and Farhadi, Ali},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={7263--7271},
  year={2017}
}

@article{bib:tubeCNN,
  title={Tube-CNN: Modeling temporal evolution of appearance for object detection in video},
  author={Vu, Tuan-Hung and Osokin, Anton and Laptev, Ivan},
  journal={arXiv preprint arXiv:1812.02619},
  year={2018}
}

@article{bib:tssd,
  title={Temporally Identity-Aware SSD With Attentional LSTM},
  author={Chen, Xingyu and Yu, Junzhi and Wu, Zhengxing},
  journal={IEEE transactions on cybernetics},
  year={2019},
  publisher={IEEE}
}

@inproceedings{bib:tubes,
  title={Object detection from video tubelets with convolutional neural networks},
  author={Kang, Kai and Ouyang, Wanli and Li, Hongsheng and Wang, Xiaogang},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={817--825},
  year={2016}
}

@inproceedings{bib:convlstm,
  title={Convolutional LSTM network: A machine learning approach for precipitation nowcasting},
  author={Xingjian, SHI and Chen, Zhourong and Wang, Hao and Yeung, Dit-Yan and Wong, Wai-Kin and Woo, Wang-chun},
  booktitle={Advances in neural information processing systems},
  pages={802--810},
  year={2015}
}

@misc{bib:metricsgit,
  author       = {Rafael Padilla},
  title        = {{Object-Detection-Metrics: Object 
                   Detection Metrics Release v0.2}},
  month        = jan,
  year         = 2019,
  doi          = {10.5281/zenodo.2554189},
  url          = {https://doi.org/10.5281/zenodo.2554189}
}

@inproceedings{bib:hog,
  TITLE = {{Histograms of Oriented Gradients for Human Detection}},
  AUTHOR = {Dalal, Navneet and Triggs, Bill},
  URL = {https://hal.inria.fr/inria-00548512},
  BOOKTITLE = {{International Conference on Computer Vision \& Pattern Recognition (CVPR '05)}},
  ADDRESS = {San Diego, United States},
  EDITOR = {Cordelia Schmid and Stefano Soatto and Carlo Tomasi},
  PUBLISHER = {{IEEE Computer Society}},
  VOLUME = {1},
  PAGES = {886--893},
  YEAR = {2005},
  MONTH = Jun,
  DOI = {10.1109/CVPR.2005.177},
  KEYWORDS = {feature extraction ; gradient methods ; object detection ; object recognition ; support vector machines},
  PDF = {https://hal.inria.fr/inria-00548512/file/hog_cvpr2005.pdf},
  HAL_ID = {inria-00548512},
  HAL_VERSION = {v1},
}

@article{bib:viola,
  title={Rapid object detection using a boosted cascade of simple features},
  author={Viola, Paul and Jones, Michael and others},
  journal={CVPR (1)},
  volume={1},
  pages={511--518},
  year={2001}
}

@article{bib:convolution,
  title="{A guide to convolution arithmetic for deep learning}",
  author = {{Dumoulin}, Vincent and {Visin}, Francesco},
  journal = {ArXiv e-prints},
  eprint = {1603.07285},
  year={2016},
  month={mar}
}

@article{bib:kalman,
    Author = {Kalman, Rudolph Emil},
    Title = {A New Approach to Linear Filtering and Prediction Problems},
    Journal = {Transactions of the ASME--Journal of Basic Engineering},
    Volume = {82},
    Number = {Series D},
    Pages = {35--45},
    Year = {1960}
}

@incollection{bib:sgd,
  title={Large-scale machine learning with stochastic gradient descent},
  author={Bottou, L{\'e}on},
  booktitle={Proceedings of COMPSTAT'2010},
  pages={177--186},
  year={2010},
  publisher={Springer}
}

@article{bib:bn,
  title={Batch normalization: Accelerating deep network training by reducing internal covariate shift},
  author={Ioffe, Sergey and Szegedy, Christian},
  journal={arXiv preprint arXiv:1502.03167},
  year={2015}
}

@inproceedings{bib:nms,
  title={Efficient non-maximum suppression},
  author={Neubeck, Alexander and Van Gool, Luc},
  booktitle={18th International Conference on Pattern Recognition (ICPR'06)},
  volume={3},
  pages={850--855},
  year={2006},
  organization={IEEE}
}

@inproceedings{bib:reid,
  title={Deepreid: Deep filter pairing neural network for person re-identification},
  author={Li, Wei and Zhao, Rui and Xiao, Tong and Wang, Xiaogang},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={152--159},
  year={2014}
}


@article{bib:lokoc,
  title={On influential trends in interactive video retrieval: video browser showdown 2015--2017},
  author={Loko{\v{c}}, Jakub and Bailer, Werner and Schoeffmann, Klaus and Muenzer, Bernd and Awad, George},
  journal={IEEE Transactions on Multimedia},
  volume={20},
  number={12},
  pages={3361--3376},
  year={2018},
  publisher={IEEE}
}

@inproceedings{bibi:vidsearch,
  title={Video search based on semantic extraction and locally regional object proposal},
  author={Truong, Thanh-Dat and Nguyen, Vinh-Tiep and Tran, Minh-Triet and Trieu, Trang-Vinh and Do, Tien and Ngo, Thanh Duc and Le, Dinh-Duy},
  booktitle={International Conference on Multimedia Modeling},
  pages={451--456},
  year={2018},
  organization={Springer}
}

@inproceedings{bib:visione,
  title={VISIONE at VBS2019},
  author={Amato, Giuseppe and Bolettieri, Paolo and Carrara, Fabio and Debole, Franca and Falchi, Fabrizio and Gennaro, Claudio and Vadicamo, Lucia and Vairo, Claudio},
  booktitle={International Conference on Multimedia Modeling},
  pages={591--596},
  year={2019},
  organization={Springer}
}