@string(TOG = "{ACM TOG}")
@string(SIGG = "{ACM TOG}")
@string(SIGGA = "{ACM TOG}")
@string(TVCG = "{IEEE TVCG}")
@string(ICIP = "{IEEE ICIP}")
@string(ICME = "{IEEE ICME}")
@string(CVPRW = "{IEEE CVPRW}")
@string(ICCVW = "{IEEE ICCVW}")
@string(TIP = "{IEEE TIP}")
@string(ECCV = "{ECCV}")
@string(IJCV = "{IJCV}")
@string(NIPS = "{NeurIPS}")
@string(ICCV = "{ICCV}")
@string(CVPR = "{CVPR}")
@string(JOV = "{J. Vision}")
@string(ICPR = "{ICPR}")
@string(BMVC =	"{BMVC}")

@string(PAMI = "{IEEE TPAMI}")
@string(ACMMM	= "{ACM Multimedia}")
@string(TSMC = "{IEEE TSMC}")
@string(ICASSP = "{IEEE ICASSP}")
@string(TMM	= "{IEEE TMM}")
@string(CSVT = "{IEEE TCSVT}")

@string(TIST = "{ACM TIST}")
@string(PG = "{Computer Graphics Forum}")
@string(PR = "{Pattern Recognition}")
@string(VR = "{Vision Research}")

@string(CVPR  = "{IEEE Conf. Comput. Vis. Pattern Recog.}")
@string(CVPRW = "{IEEE Conf. Comput. Vis. Pattern Recog. Worksh.}")
@string(ICCV  = "{Int. Conf. Comput. Vis.}")
@string(ECCV  = "{Eur. Conf. Comput. Vis.}")
@string(ICML  = "{Int. Conf. Mach. Learn.}")
@string(NIPS  = "{Adv. Neural Inform. Process. Syst.}")
@string(ICPR  = "{Int. Conf. Pattern Recog.}")
@string(BMVC  = "{Brit. Mach. Vis. Conf.}")
@string(ICIP  = "{IEEE Int. Conf. Image Process.}")
@string(ACCV  = "{Asian Conf. Comput. Vis.}")
@string(IJCAI = "{Int. Joint Conf. Artif. Intell.}")
@string(ICLR  = "{Int. Conf. Learn. Represent.}")
@string(ACMMM = "{ACM Int. Conf. Multimedia}")
@string(ICME  = "{Int. Conf. Multimedia and Expo}")
@string(SIGG  = "{ACM SIGGRAPH Anal. Conf.}")
@string(SIGGA = "{ACM SIGGRAPH Conf. Asia}")
@string(ICASSP=	"{IEEE Int. Conf. Acoust. Speech SP}")
@string(PAMI  = "{IEEE Trans. Pattern Anal. Mach. Intell.}")
@string(IJCV  = "{Int. J. Comput. Vis.}")
@string(TOG   = "{ACM Trans. Graph.}")
@string(TIP   = "{IEEE Trans. Image Process.}")
@string(TVCG  = "{IEEE Trans. Visual. Comput. Graph.}")
@string(TCSVT = "{IEEE Trans. Circ. Syst. Video Technol.}")
@string(TMM   = "{IEEE Trans. Multimedia}")
@string(PR    = "{Pattern Recogn.}")
@string(PRL    = "{Pattern Recogn. Let.}")
@string(SPL	  = "{IEEE Signal Process. Let.}")
@string(VR    = "{Vis. Res.}")
@string(JOV	  = "{J. Vis.}")
@string(TVC   = "{The Vis. Comput.}")
@string(JCST  = "{J. Comput. Sci. Tech.}")
@string(CGF   = "{Comput. Graph. Forum}")
@string(MICCAI   = "{Med. Image. Comput. Comput. Assist. Interv.}")

@inproceedings{lee2017semantic,
  title={Semantic line detection and its applications},
  author={Lee, Jun-Tae and Kim, Han-Ul and Lee, Chul and Kim, Chang-Su},
  booktitle=ICCV,
  pages={3229--3237},
  year={2017}
}

@article{lee2019property,
  title={Property-Specific Aesthetic Assessment With Unsupervised Aesthetic Property Discovery},
  author={Lee, Jun-Tae and Lee, Chul and Kim, Chang-Su},
  journal={IEEE Access},
  volume={7},
  pages={114349--114362},
  year={2019},
}

@inproceedings{zhao2018hifi,
  title     = {Hi-{F}i: Hierarchical Feature Integration for Skeleton Detection},
  author    = {Kai Zhao and Wei Shen and Shanghua Gao and Dandan Li and Ming-Ming Cheng},
  booktitle = IJCAI,
  pages     = {1191--1197},
  year      = {2018},
  month     = {7},
  doi       = {10.24963/ijcai.2018/166},
}

@article{burns1986extracting,
  title={Extracting straight lines},
  author={Burns, J Brian and Hanson, Allen R and Riseman, Edward M},
  journal=PAMI,
  volume={8},
  number={4},
  pages={425--455},
  year={1986},
  publisher={IEEE}
}

@article{von2008lsd,
  title={LSD: A fast line segment detector with a false detection control},
  author={Von Gioi, Rafael Grompone and Jakubowicz, Jeremie and Morel, Jean-Michel and Randall, Gregory},
  journal=PAMI,
  volume={32},
  number={4},
  pages={722--732},
  year={2008},
  publisher={IEEE}
}
@article{akinlar2011edlines,
  title={EDLines: A real-time line segment detector with a false detection control},
  author={Akinlar, Cuneyt and Topal, Cihan},
  journal=PR,
  volume={32},
  number={13},
  pages={1633--1642},
  year={2011},
  publisher={Elsevier}
}
@article{akinlar2013edcircles,
  title={EDCircles: A real-time circle detector with a false detection control},
  author={Akinlar, Cuneyt and Topal, Cihan},
  journal=PRL,
  volume={46},
  number={3},
  pages={725--740},
  year={2013},
  publisher={Elsevier}
}
@article{feng2013automatic,
  title={Automatic fastener classification and defect detection in vision-based railway inspection systems},
  author={Feng, Hao and Jiang, Zhiguo and Xie, Fengying and Yang, Ping and Shi, Jun and Chen, Long},
  journal={IEEE T Instrum. Meas.},
  volume={63},
  number={4},
  pages={877--888},
  year={2013},
  publisher={IEEE}
}

@ARTICLE{TIP20_SP_NPR, 
	author={Ming-Ming Cheng and Xiao-Chang Liu and Jie Wang and Shao-Ping Lu and Yu-Kun Lai and Paul L. Rosin}, 
	journal=TIP, 
	title={Structure-Preserving Neural Style Transfer}, 
	year={2020}, 
	volume={29},  
	pages={909-920}, 
	doi={10.1109/TIP.2019.2936746}, 
}

@inproceedings{ko2018pac,
  title={PAC-Net: pairwise aesthetic comparison network for image aesthetic assessment},
  author={Ko, Keunsoo and Lee, Jun-Tae and Kim, Chang-Su},
  booktitle=ICIP,
  pages={2491--2495},
  year={2018},
  organization={IEEE}
}

@article{von2008straight,
  title={On straight line segment detection},
  author={Von Gioi, Rafael Grompone and Jakubowicz, J{\'e}r{\'e}mie and Morel, Jean-Michel and Randall, Gregory},
  journal={Journal of Mathematical Imaging and Vision},
  volume={32},
  number={3},
  pages={313},
  year={2008},
  publisher={Springer}
}

@inproceedings{zhang2019ppgnet,
  title={{PPG}Net: Learning Point-Pair Graph for Line Segment Detection},
  author={Zhang, Ziheng and Li, Zhengxin and Bi, Ning and Zheng, Jia and Wang, Jinlei and Huang, Kun and Luo, Weixin and Xu, Yanyu and Gao, Shenghua},
  booktitle = CVPR,
  year={2019}
}

@inproceedings{ren2015faster,
  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=NIPS,
  pages={91--99},
  year={2015}
}

@inproceedings{girshick2015fast,
  title={Fast r-cnn},
  author={Girshick, Ross},
  booktitle=ICCV,
  pages={1440--1448},
  year={2015}
}

@inproceedings{wang2018non,
  title={Non-local neural networks},
  author={Wang, Xiaolong and Girshick, Ross and Gupta, Abhinav and He, Kaiming},
  booktitle=CVPR,
  pages={7794--7803},
  year={2018}
}

@inproceedings{huang2019ccnet,
  title={Ccnet: Criss-cross attention for semantic segmentation},
  author={Huang, Zilong and Wang, Xinggang and Huang, Lichao and Huang, Chang and Wei, Yunchao and Liu, Wenyu},
  booktitle=ICCV,
  pages={603--612},
  year={2019}
}

% FPN
@inproceedings{lin2017feature,
  title={Feature pyramid networks for object detection},
  author={Lin, Tsung-Yi and Doll{\'a}r, Piotr and Girshick, Ross and He, Kaiming and Hariharan, Bharath and Belongie, Serge},
  booktitle=CVPR,
  pages={2117--2125},
  year={2017}
}

@inproceedings{long2015fully,
  title={Fully convolutional networks for semantic segmentation},
  author={Long, Jonathan and Shelhamer, Evan and Darrell, Trevor},
  booktitle=CVPR,
  pages={3431--3440},
  year={2015}
}

@misc{hough1962method,
  title={Method and means for recognizing complex patterns},
  author={Hough, Paul VC},
  year={1962},
  publisher={Google Patents},
  note={US Patent 3,069,654}
}

@Article{BorjiCVM2019,
  author="Borji, Ali and Cheng, Ming-Ming and Hou, Qibin and Jiang, Huaizu and Li, Jia",
  title="Salient object detection: A survey",
  journal="Computational Visual Media",
  year="2019",
  volume="5",
  number="2",
  pages="117--150",
  issn="2096-0662",
  doi="10.1007/s41095-019-0149-9",
}

@Article{Fan2020S4Net,
  title={S4Net: Single Stage Salient-Instance Segmentation},
  author={Ruochen Fan and Ming-Ming Cheng and Qibin Hou and Tai-Jiang Mu and Jingdong Wang and Shi-Min Hu},
  journal="Computational Visual Media",
  year="2020",
  month="June",
  volume="6",
  number="2",
  pages="191--204",
  doi="10.1007/s41095-020-0173-9",
}
@techreport{duda1971use,
  title={Use of the Hough transformation to detect lines and curves in pictures},
  author={Duda, Richard O and Hart, Peter E},
  year={1971},
  institution={Sri International Menlo Park Ca Artificial Intelligence Center}
}

@ARTICLE{wang2021revisiting, 
	author={Wenguan Wang and Jianbing Shen and Jianwen Xie and Ming-Ming Cheng and Haibing Ling and Ali Borji}, 
	journal=PAMI, 
	title={Revisiting Video Saliency Prediction in the Deep Learning Era}, 
	year={2021}, 
	volume={43}, 
	number={1}, 
	pages={220-237}, 
	doi={10.1109/TPAMI.2019.2924417}, 
}

@ARTICLE{pami20Res2net, 
  author={Shang-Hua Gao and Ming-Ming Cheng and Kai Zhao and Xin-Yu Zhang and Ming-Hsuan Yang and Philip Torr}, 
  journal=PAMI, 
  title={Res2Net: A New Multi-scale Backbone Architecture}, 
  year={2021}, 
  volume={43}, 
  number={2}, 
  pages={652-662}, 
  doi={10.1109/TPAMI.2019.2938758}, 
}

@article{RcfEdgePami2019,
  author = {Yun Liu and Ming-Ming Cheng and Xiaowei Hu and Jia-Wang Bian and Le Zhang and Xiang Bai and Jinhui Tang},
  title = {Richer Convolutional Features for Edge Detection},
  year  = {2019},
  journal= PAMI,
  volume={41}, 
  number={8}, 
  pages={1939 - 1946}, 
  doi = {10.1109/TPAMI.2018.2878849},
}


@article{HouPami19Dss,
  title={Deeply supervised salient object detection with short connections},
  author={Hou, Qibin and Cheng, Ming-Ming and Hu, Xiaowei and Borji, Ali and Tu, Zhuowen and Torr, Philip},
  year  = {2019},
  volume={41}, 
  number={4}, 
  pages={815-828}, 
  journal= PAMI,
  doi = {10.1109/TPAMI.2018.2815688},
}

@article{ballard1981generating,
  title={Generating the Hough Transform to detect arbitary shapes},
  author={Ballard, DH},
  journal=PR,
  volume={13},
  number={2},
  year={1981}
}

@article{illingworth1988survey,
  title={A survey of the Hough transform},
  author={Illingworth, John and Kittler, Josef},
  journal={Computer vision, graphics, and image processing},
  volume={44},
  number={1},
  pages={87--116},
  year={1988},
  publisher={Elsevier}
}

#pytorch
@inproceedings{paszke2019pytorch,
  title={PyTorch: An imperative style, high-performance deep learning library},
  author={Paszke, Adam and Gross, Sam and Massa, Francisco and Lerer, Adam and Bradbury, James and Chanan, Gregory and Killeen, Trevor and Lin, Zeming and Gimelshein, Natalia and Antiga, Luca and others},
  booktitle=NIPS,
  pages={8024--8035},
  year={2019}
}

#resnet
@inproceedings{he2016deep,
  title={Deep residual learning for image recognition},
  author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
  booktitle=CVPR,
  pages={770--778},
  year={2016}
}

#vgg
@inproceedings{simonyan2014very,
  title={Very deep convolutional networks for large-scale image recognition},
  author={Simonyan, Karen and Zisserman, Andrew},
  booktitle=ICLR,
  year={2015}
}

@article{nevatia1980linear,
  title={Linear feature extraction and description},
  author={Nevatia, Ramakant and Babu, K Ramesh},
  journal={Computer Graphics and Image Processing},
  volume={13},
  number={3},
  pages={257--269},
  year={1980},
  publisher={Elsevier}
}
% HED
@inproceedings{xie2015holistically,
  title={Holistically-nested edge detection},
  author={Xie, Saining and Tu, Zhuowen},
  booktitle=ICCV,
  pages={1395--1403},
  year={2015}
}
% deeplabv3+
@inproceedings{chen2018encoder,
  title={Encoder-decoder with atrous separable convolution for semantic image segmentation},
  author={Chen, Liang-Chieh and Zhu, Yukun and Papandreou, George and Schroff, Florian and Adam, Hartwig},
  booktitle=ECCV,
  pages={801--818},
  year={2018}
}

% pspnet
@inproceedings{zhao2017pyramid,
  title={Pyramid scene parsing network},
  author={Zhao, Hengshuang and Shi, Jianping and Qi, Xiaojuan and Wang, Xiaogang and Jia, Jiaya},
  booktitle=CVPR,
  pages={2881--2890},
  year={2017}
}

%canny
@article{canny1986computational,
  title={A computational approach to edge detection},
  author={Canny, John},
  journal=PAMI,
  volume={8},
  number={6},
  pages={679--698},
  year={1986},
  publisher={Ieee}
}

% Sobel
@article{sobel,
author = {Sobel, Irwin},
year = {2014},
title = {An Isotropic 3x3 Image Gradient Operator},
journal = {Presentation at Stanford A.I. Project}
}

@article{aggarwal2006line,
  title={Line detection in images through regularized Hough transform},
  author={Aggarwal, Nitin and Karl, W Clem},
  journal=TIP,
  volume={15},
  number={3},
  pages={582--591},
  year={2006},
  publisher={IEEE}
}

@article{illingworth1987adaptive,
  title={The adaptive Hough transform},
  author={Illingworth, John and Kittler, Josef},
  journal=PAMI,
  volume={9},
  number={5},
  pages={690--698},
  year={1987},
  publisher={IEEE}
}

@article{kiryati1991probabilistic,
  title={A probabilistic Hough transform},
  author={Kiryati, Nahum and Eldar, Yuval and Bruckstein, Alfred M},
  journal=PR,
  volume={24},
  number={4},
  pages={303--316},
  year={1991},
  publisher={Elsevier}
}

@article{princen1990hierarchical,
  title={A hierarchical approach to line extraction based on the Hough transform},
  author={Princen, John and Illingworth, John and Kittler, Josef},
  journal={Computer vision, graphics, and image processing},
  volume={52},
  number={1},
  pages={57--77},
  year={1990},
  publisher={Elsevier}
}

@article{yacoub1995hierarchical,
  title={Hierarchical line extraction},
  author={Yacoub, S Ben and Jolion, J-M},
  journal={IEE Proceedings-Vision, Image and Signal Processing},
  volume={142},
  number={1},
  pages={7--14},
  year={1995},
  publisher={IET}
}

@article{fernandes2008real,
  title={Real-time line detection through an improved Hough transform voting scheme},
  author={Fernandes, Leandro AF and Oliveira, Manuel M},
  journal=PR,
  volume={41},
  number={1},
  pages={299--314},
  year={2008},
  publisher={Elsevier}
}

@article{caprile1990using,
  title={Using vanishing points for camera calibration},
  author={Caprile, Bruno and Torre, Vincent},
  journal=IJCV,
  volume={4},
  number={2},
  pages={127--139},
  year={1990},
  publisher={Springer}
}

@article{chung2004new,
  title={New memory-and computation-efficient Hough transform for detecting lines},
  author={Chung, Kuo-Liang and Chen, Teh-Chuan and Yan, Wen-Ming},
  journal=PR,
  volume={37},
  number={5},
  pages={953--963},
  year={2004},
  publisher={Elsevier}
}

@inproceedings{etemadi1992robust,
  title={Robust segmentation of edge data},
  author={Etemadi, A},
  booktitle={International Conference on Image Processing and its Applications},
  pages={311--314},
  year={1992},
  organization={IET}
}

@inproceedings{chan1996line,
  title={Line detection algorithm},
  author={Chan, TS and Yip, Raymond KK},
  booktitle=ICPR,
  volume={2},
  pages={126--130},
  year={1996},
  organization={IEEE}
}

@book{krages2012photography,
  title={Photography: the art of composition},
  author={Krages, Bert},
  year={2012},
  publisher={Simon and Schuster}
}

@inproceedings{law2018cornernet,
  title={Cornernet: Detecting objects as paired keypoints},
  author={Law, Hei and Deng, Jia},
  booktitle=ECCV,
  pages={734--750},
  year={2018}
}

@inproceedings{yu2015multi,
  title={Multi-scale context aggregation by dilated convolutions},
  author={Yu, Fisher and Koltun, Vladlen},
  booktitle=ICLR,
  year={2016}
}

@article{liu2010optimizing,
  author    = {Ligang Liu and
               Renjie Chen and
               Lior Wolf and
               Daniel Cohen{-}Or},
  title     = {Optimizing Photo Composition},
  journal   = CGF,
  volume    = {29},
  number    = {2},
  pages     = {469--478},
  year      = {2010}
}

@inproceedings{kingma2014adam,
  title={Adam: A method for stochastic optimization},
  author={Kingma, Diederik P and Ba, Jimmy},
  booktitle=ICLR,
  year={2015}
}
#rule of thirds
@book{caplin2008art,
  title={Art and Design in Photoshop},
  author={Caplin, S.},
  isbn={9780240811093},
  year={2008},
  publisher={Elsevier/Focal}
}
#crowd counting： Gauss blur
@inproceedings{liu2019context,
  title={Context-aware crowd counting},
  author={Liu, Weizhe and Salzmann, Mathieu and Fua, Pascal},
  booktitle=CVPR,
  pages={5099--5108},
  year={2019}
}

@inproceedings{cheng2019learning,
  title={Learning spatial awareness to improve crowd counting},
  author={Cheng, Zhi-Qi and Li, Jun-Xiu and Dai, Qi and Wu, Xiao and Hauptmann, Alexander G},
  booktitle=ICCV,
  pages={6152--6161},
  year={2019}
}

@inproceedings{VecRoad_20CVPR,
 title={VecRoad: Point-based Iterative Graph Exploration for Road Graphs Extraction},
 author={Yong-Qiang Tan and Shanghua Gao and Xuan-Yi Li and Ming-Ming Cheng and Bo Ren},
 booktitle=CVPR,
 year={2020},
}

@inproceedings{qi2019deep,
  title={Deep hough voting for 3d object detection in point clouds},
  author={Qi, Charles R and Litany, Or and He, Kaiming and Guibas, Leonidas J},
  booktitle=ICCV,
  pages={9277--9286},
  year={2019}
}

@article{leibe2008robust,
  title={Robust object detection with interleaved categorization and segmentation},
  author={Leibe, Bastian and Leonardis, Ale{\v{s}} and Schiele, Bernt},
  journal=IJCV,
  volume={77},
  number={1-3},
  pages={259--289},
  year={2008},
  publisher={Springer}
}

@article{leibe2008robust,
  title={Robust object detection with interleaved categorization and segmentation},
  author={Leibe, Bastian and Leonardis, Ale{\v{s}} and Schiele, Bernt},
  journal=IJCV,
  volume={77},
  number={1-3},
  pages={259--289},
  year={2008},
  publisher={Springer}
}

%radon
@article{radon20051,
  title={{\"u}ber die bestimmung von funktionen durch ihre integralwerte l{\"a}ngs gewisser mannigfaltigkeiten},
  author={Radon, Johann},
  journal={Classic papers in modern diagnostic radiology},
  volume={5},
  pages={21},
  year={2005},
}

@article{finding1976,
  title={Finding picture edges through collinearity of feature points},
  author={O'gorman, Frank and Clowes, MB},
  journal={IEEE Trans. Computers},
  volume={25},
  number={4},
  pages={449--456},
  year={1976}
}

@article{limberger2015real,
  title={Real-time detection of planar regions in unorganized point clouds},
  author={Limberger, Frederico A and Oliveira, Manuel M},
  journal=PR,
  volume={48},
  number={6},
  pages={2043--2053},
  year={2015},
  publisher={Elsevier}
}

@inproceedings{qi2020imvotenet,
  title={Imvotenet: Boosting 3d object detection in point clouds with image votes},
  author={Qi, Charles R and Chen, Xinlei and Litany, Or and Guibas, Leonidas J},
  booktitle=CVPR,
  pages={4404--4413},
  year={2020}
}

@InProceedings{gao2020sod100k,
author = {Gao, Shang-Hua and Tan, Yong-Qiang and Cheng, Ming-Ming and Lu, Chengze and Chen, Yunpeng and Yan, Shuicheng},
title = {Highly Efficient Salient Object Detection with 100K Parameters},
booktitle = ECCV,
year = {2020}
}

@inproceedings{fan2020bbs,
  title={BBS-Net: RGB-D Salient Object Detection with a Bifurcated Backbone Strategy Network},
  author={Fan, Deng-Ping and Zhai, Yingjie and Borji, Ali and Yang, Jufeng and Shao, Ling},
  booktitle=ECCV,
  year={2020}
}

@article{fan2019D3Net,
  title={{Rethinking RGB-D salient object detection: Models, datasets, and large-scale benchmarks}},
  author={Fan, Deng-Ping and Lin, Zheng and Zhang, Zhao and Zhu, Menglong and Cheng, Ming-Ming},
  journal=TNNLS,
  year={2020}
}

@inproceedings{xue2020holistically,
  title={Holistically-attracted wireframe parsing},
  author={Xue, Nan and Wu, Tianfu and Bai, Song and Wang, Fudong and Xia, Gui-Song and Zhang, Liangpei and Torr, Philip HS},
  booktitle=CVPR,
  pages={2788--2797},
  year={2020}
}

@inproceedings{zhou2019end,
  title={End-to-end wireframe parsing},
  author={Zhou, Yichao and Qi, Haozhi and Ma, Yi},
  booktitle=ICCV,
  pages={962--971},
  year={2019}
}

@inproceedings{huang2018learning,
  title={Learning to parse wireframes in images of man-made environments},
  author={Huang, Kun and Wang, Yifan and Zhou, Zihan and Ding, Tianjiao and Gao, Shenghua and Ma, Yi},
  booktitle=CVPR,
  pages={626--635},
  year={2018}
}

@inproceedings{ahmad2017comparison,
  title={Comparison of semantic segmentation approaches for horizon/sky line detection},
  author={Ahmad, Touqeer and Campr, Pavel and {\v{C}}adik, Martin and Bebis, George},
  booktitle={International joint conference on neural networks},
  pages={4436--4443},
  year={2017},
  organization={IEEE}
}

@inproceedings{eccv2020line,
  title={Deep Hough Transform for Semantic Line Detection},
  author={Qi Han and Kai Zhao and Jun Xu and Ming-Ming Cheng},
  booktitle=ECCV,
  pages={750--766},
  year={2020}
}

% 匈牙利算法
@article{kuhn1955hungarian,
  title={The Hungarian method for the assignment problem},
  author={Kuhn, Harold W},
  journal={Naval research logistics quarterly},
  volume={2},
  number={1-2},
  pages={83--97},
  year={1955},
  publisher={Wiley Online Library}
}

%Place365
@article{zhou2017places,
  title={Places: A 10 million Image Database for Scene Recognition},
  author={Zhou, Bolei and Lapedriza, Agata and Khosla, Aditya and Oliva, Aude and Torralba, Antonio},
  journal=PAMI,
  year={2017},
  publisher={IEEE}
}

@article{koo2013skew,
  title={Skew estimation of natural images based on a salient line detector},
  author={Koo, Hyung-Il and Cho, Nam Ik},
  journal={Journal of Electronic Imaging},
  volume={22},
  number={1},
  pages={013020},
  year={2013},
  publisher={International Society for Optics and Photonics}
}

@article{workman2016horizon,
  title={Horizon lines in the wild},
  author={Workman, Scott and Zhai, Menghua and Jacobs, Nathan},
  journal={arXiv preprint arXiv:1604.02129},
  year={2016}
}

@inproceedings{zhai2016detecting,
  title={Detecting vanishing points using global image context in a non-manhattan world},
  author={Zhai, Menghua and Workman, Scott and Jacobs, Nathan},
  booktitle=CVPR,
  pages={5657--5665},
  year={2016}
}

@inproceedings{kong2016photo,
  title={Photo aesthetics ranking network with attributes and content adaptation},
  author={Kong, Shu and Shen, Xiaohui and Lin, Zhe and Mech, Radomir and Fowlkes, Charless},
  booktitle=ECCV,
  pages={662--679},
  year={2016},
  organization={Springer}
}
@inproceedings{mai2016composition,
  title={Composition-preserving deep photo aesthetics assessment},
  author={Mai, Long and Jin, Hailin and Liu, Feng},
  booktitle=CVPR,
  pages={497--506},
  year={2016}
}
@book{freeman2007photographer,
  title={The photographer's eye: composition and design for better digital photos},
  author={Freeman, Michael},
  year={2007},
  publisher={CRC Press}
}

@InProceedings{zhao2019optimizing,
  author    = {Kai Zhao and Shanghua Gao and Wenguan Wang and Ming-Ming Cheng},
  title     = {Optimizing the {F}-measure for Threshold-free Salient Object Detection},
  booktitle = ICCV,
  pages     = {8849-8857},
  month     = {Oct},
  year      = {2019},
}

@article{cheng2015global,
  author = {Ming-Ming Cheng and Niloy J. Mitra and Xiaolei Huang and Philip H. S. Torr and Shi-Min Hu},
  title = {Global Contrast based Salient Region Detection},
  year  = {2015},
  journal= PAMI,
  volume={37}, 
  number={3}, 
  pages={569--582}, 
  doi = {10.1109/TPAMI.2014.2345401},
}

@inproceedings{zhu2014saliency,
  title={Saliency optimization from robust background detection},
  author={Zhu, Wangjiang and Liang, Shuang and Wei, Yichen and Sun, Jian},
  booktitle=CVPR,
  pages={2814--2821},
  year={2014}
}
@article{nguyen2019ls,
  title={LS-Net: Fast Single-Shot Line-Segment Detector},
  author={Nguyen, Van Nhan and Jenssen, Robert and Roverso, Davide},
  journal={arXiv preprint arXiv:1912.09532},
  year={2019}
}

@inproceedings{min2019hyperpixel,
  title={Hyperpixel flow: Semantic correspondence with multi-layer neural features},
  author={Min, Juhong and Lee, Jongmin and Ponce, Jean and Cho, Minsu},
  booktitle=ICCV,
  pages={3395--3404},
  year={2019}
}

@article{fan2019spinnet,
  title={SpinNet: Spinning convolutional network for lane boundary detection},
  author={Fan, Ruochen and Wang, Xuanrun and Hou, Qibin and Liu, Hanchao and Mu, Tai-Jiang},
  journal={Computational Visual Media},
  volume={5},
  number={4},
  pages={417--428},
  year={2019},
  publisher={Springer}
}

@article{zhang2020and,
  title={What and where: A context-based recommendation system for object insertion},
  author={Zhang, Song-Hai and Zhou, Zheng-Ping and Liu, Bin and Dong, Xi and Hall, Peter},
  journal={Computational Visual Media},
  volume={6},
  pages={79--93},
  year={2020},
  publisher={Springer}
}

@article{hu2013inverse,
  title={Inverse image editing: Recovering a semantic editing history from a before-and-after image pair},
  author={Hu, Shi-Min and Xu, Kun and Ma, Li-Qian and Liu, Bin and Jiang, Bi-Ye and Wang, Jue},
  journal=TOG,
  volume={32},
  number={6},
  pages={1--11},
  year={2013},
}

@article{hu2013patchnet,
  title={PatchNet: a patch-based image representation for interactive library-driven image editing},
  author={Hu, Shi-Min and Zhang, Fang-Lue and Wang, Miao and Martin, Ralph R and Wang, Jue},
  journal=TOG,
  volume={32},
  number={6},
  pages={1--12},
  year={2013},
}

@article{chen2009sketch2photo,
  title={Sketch2photo: Internet image montage},
  author={Chen, Tao and Cheng, Ming-Ming and Tan, Ping and Shamir, Ariel and Hu, Shi-Min},
  journal=TOG,
  volume={28},
  number={5},
  pages={1--10},
  year={2009},
  publisher={ACM New York, NY, USA}
}

@inproceedings{deng2020cvxnet,
  title={Cvxnet: Learnable convex decomposition},
  author={Deng, Boyang and Genova, Kyle and Yazdani, Soroosh and Bouaziz, Sofien and Hinton, Geoffrey and Tagliasacchi, Andrea},
  booktitle=CVPR,
  pages={31--44},
  year={2020}
}

@inproceedings{chen2020bsp,
  title={Bsp-net: Generating compact meshes via binary space partitioning},
  author={Chen, Zhiqin and Tagliasacchi, Andrea and Zhang, Hao},
  booktitle=CVPR,
  pages={45--54},
  year={2020}
}

% EMD
@article{rubner2000earth,
  title={The earth mover's distance as a metric for image retrieval},
  author={Rubner, Yossi and Tomasi, Carlo and Guibas, Leonidas J},
  journal=IJCV,
  volume={40},
  number={2},
  pages={99--121},
  year={2000},
  publisher={Springer}
}

% chamfer distance
@article{borgefors1986distance,
  title={Distance transformations in digital images},
  author={Borgefors, Gunilla},
  journal={Computer vision, graphics, and image processing},
  volume={34},
  number={3},
  pages={344--371},
  year={1986},
  publisher={Academic Press}
}

% jittor
@article{hu2020jittor,
  title={Jittor: a novel deep learning framework with meta-operators and unified graph execution},
  author={Hu, Shi-Min and Liang, Dun and Yang, Guo-Ye and Yang, Guo-Wei and Zhou, Wen-Yang},
  journal={Information Sciences},
  volume={63},
  number={222103},
  pages={1--21},
  year={2020}
}

%BN
@inproceedings{ioffe2015batch,
  title={Batch normalization: Accelerating deep network training by reducing internal covariate shift},
  author={Ioffe, Sergey and Szegedy, Christian},
  booktitle={International conference on machine learning},
  pages={448--456},
  year={2015},
  organization={PMLR}
}

% RBN
@inproceedings{gao2021rbn,
  title={Representative Batch Normalization with Feature Calibration},
  author={Gao, Shang-Hua and Han, Qi and Li, Duo and Peng, Pai and Cheng, Ming-Ming and Pai Peng},
  booktitle=CVPR,
  year={2021}
}
% g2l
@inproceedings{gao2021global2local,
  title={Global2Local: Efficient Structure Search for Video Action Segmentation},
  author={Gao, Shang-Hua and Han, Qi and Li, Zhong-Yu and Peng, Pai and Wang, Liang and Cheng, Ming-Ming},
  booktitle=CVPR,
  year={2021}
}