[1] B. Kaneva, A. Torralba, and W. T. Freeman, "Evaluation of image features using a photorealistic virtual world, " in Proc. 2011 IEEE Int. Conf. Computer Vision, Barcelona, Spain, 2011, pp. 2282-2289. http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=6126508
[2] Y. Q. Liu, K. F. Wang, and D. Y. Shen, "Visual tracking based on dynamic coupled conditional random field model, " IEEE Trans. Intell. Transp. Syst. , vol. 17, no. 3, pp. 822-833, Mar. 2016. http://ieeexplore.ieee.org/document/7307175/
[3] C. Gou, K. F. Wang, Y. J. Yao, and Z. X. Li, "Vehicle license plate recognition based on extremal regions and restricted Boltzmann machines, " IEEE Trans. Intell. Transp. Syst. , vol. 17, no. 4, pp. 1096-1107, Apr. 2016. http://ieeexplore.ieee.org/document/7331292/
[4] Y. T. Liu, K. F. Wang, and F. Y. Wang, "Tracklet association-based visual object tracking: the state of the art and beyond, " Acta Autom. Sinica. , vol. 43, no. 11, pp. 1869-1885, Nov. 2017. http://www.aas.net.cn/EN/Y2017/V43/I11/1869
[5] A. Geiger, P. Lenz, and R. Urtasun, "Are we ready for autonomous driving? The KITTI vision benchmark suite, " in Proc. 2012 IEEE Conf. Computer Vision and Pattern Recognition, Providence, RI, USA, 2012, pp. 3354-3361. http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=6248074
[6] M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman, "The PASCAL visual object classes (VOC) challenge, " Int. J. Comput. Vis. , vol. 88, no. 2, pp. 303-338, Jun. 2010. doi: 10.1007/s11263-009-0275-4
[7] J. Deng, W. Dong, R. Socher, L. J. Li, K. Li, and F. F. Li, "ImageNet: A large-scale hierarchical image database, " in Proc. 2009 IEEE Conf. Computer Vision and Pattern Recognition, Miami, FL, USA, 2009, pp. 248-255. http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=5206848
[8] T. Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick, "Microsoft COCO: Common objects in context, " in Proc. 13th European Conf. Computer Vision, Zurich, Switzerland, 2014, pp. 740-755. doi: 10.1007/978-3-319-10602-1_48
[9] K. F. Wang, C. Gou, N. N. Zheng, J. M. Rehg, and F. Y. Wang, "Parallel vision for perception and understanding of complex scenes: methods, framework, and perspectives, " Artif. Intell. Rev. , vol. 48, no. 3, pp. 299-329, Oct. 2017. doi: 10.1007/s10462-017-9569-z
[10] K. F. Wang, C. Gou, and F. Y. Wang, "Parallel vision: an ACP-based approach to intelligent vision computing, " Acta Autom. Sinica, vol. 42, no. 10, pp. 1490-1500, Oct. 2016. http://www.en.cnki.com.cn/Article_en/CJFDTOTAL-MOTO201610003.htm
[11] K. F. Wang, Y. Lu, Y. T. Wang, Z. W. Xiong, and F. Y. Wang, "Parallel imaging: a new theoretical framework for image generation, " Pattern Recognit. Artif. Intell. , vol. 30, no. 7, pp. 577-587, Jul. 2017. http://www.en.cnki.com.cn/Article_en/CJFDTOTAL-MSSB201707001.htm
[12] F. Y. Wang, "Parallel system methods for management and control of complex systems, " Control Decis. , vol. 19, no. 5, pp. 485-489, May 2004. http://en.cnki.com.cn/Article_en/CJFDTotal-KZYC200405001.htm
[13] F. Y. Wang, "Parallel control and management for intelligent transportation systems: concepts, architectures, and applications, " IEEE Trans. Intell. Transp. Syst. , vol. 11, no. 3, pp. 630-638, Sep. 2010. http://ieeexplore.ieee.org/document/5549912/
[14] F. Y. Wang, "Parallel control: a method for data-driven and computational control, " Acta Autom. Sinica, vol. 39, no. 4, pp. 293-302, Apr. 2013. http://en.cnki.com.cn/Article_en/CJFDTOTAL-MOTO201304002.htm
[15] F. Y. Wang, J. J. Zhang, X. H. Zheng, X. Wang, Y. Yuan, X. X. Dai, J. Zhang, and L. Q. Yang, "Where does AlphaGo go: from Church-Turing thesis to AlphaGo thesis and beyond, " IEEE/CAA J. Autom. Sinica, vol. 3, no. 2, pp. 113-120, Apr. 2016. http://www.en.cnki.com.cn/Article_en/CJFDTOTAL-ZDHB201602001.htm
[16] F. Y. Wang, J. Zhang, Q. L. Wei, X. H. Zheng, and L. Li, "PDP: Parallel dynamic programming, " IEEE/CAA J. Autom. Sinica, vol. 4, no. 1, pp. 1-5, Jan. 2017. http://www.en.cnki.com.cn/Article_en/CJFDTOTAL-ZDHB201701001.htm
[17] F. Y. Wang, X. Wang, L. X. Li, and L. Li, "Steps toward parallel intelligence, " IEEE/CAA J. Autom. Sinica, vol. 3, no. 4, pp. 345-348, Oct. 2016. http://www.en.cnki.com.cn/Article_en/CJFDTOTAL-ZDHB201604001.htm
[18] L. Li, Y. L. Lin, N. N. Zheng, and F. Y. Wang, "Parallel learning: a perspective and a framework, " IEEE/CAA J. Autom. Sinica, vol. 4, no. 3, pp. 389-395, Jul. 2017. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zdhxb-ywb201703001
[19] K. F. Wang and Y. J. Yao, "Video-based vehicle detection approach with data-driven adaptive neuro-fuzzy networks, " Int. J. Pattern Recogn. Artif. Intell. , vol. 29, no. 7, pp. 1555015, Nov. 2015. doi: 10.1142/S0218001415550150
[20] P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan, "Object detection with discriminatively trained part-based models, " IEEE Trans. Pattern Anal. Mach. Intell. , vol. 32, no. 9, pp. 1627-1645, Sep. 2010. http://www.ncbi.nlm.nih.gov/pubmed/20634557
[21] S. Q. Ren, K. M. He, R. Girshick, and J. Sun, "Faster R-CNN: towards real-time object detection with region proposal networks, " in Proc. 29th Ann. Conf. Neural Information Processing Systems, Montreal, Canada, 2015, pp. 91-99. http://www.ncbi.nlm.nih.gov/pubmed/27295650
[22] R. Girshick, "Fast R-CNN, " in Proc. IEEE Int. Conf. Computer Vision, Santiago, Chile, 2015, pp. 1440-1448. http://arxiv.org/abs/1504.08083
[23] W. S. Bainbridge, "The scientific research potential of virtual worlds, " Science, vol. 317, no. 5837, pp. 472-476, Jul. 2007. http://www.ncbi.nlm.nih.gov/pubmed/17656715
[24] H. Prendinger, K. Gajananan, A. B. Zaki, A. Fares, R. Molenaar, D. Urbano, H. van Lint, and W. Gomaa, "Tokyo virtual living lab: designing smart cities based on the 3D internet, " IEEE Internet Comput. , vol. 17, no. 6, pp. 30-38, Nov. -Dec. 2013. http://dl.acm.org/citation.cfm?id=2574338
[25] J. Marín, D. Vázquez, D. Gerónimo, and A. M. López, "Learning appearance in virtual scenarios for pedestrian detection, " in Proc. 2010 IEEE Conf. Computer Vision and Pattern Recognition, San Francisco, CA, USA, 2010, pp. 137-144. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5540218
[26] J. L. Xu, D. Vázquez, A. M. López, J. Marín, and D. Ponsa, "Learning a part-based pedestrian detector in a virtual world, " IEEE Trans. Intell. Transp. Syst. , vol. 15, no. 5, pp. 2121-2131, Oct. 2014. http://ieeexplore.ieee.org/document/6786000/
[27] X. C. Peng, B. C. Sun, K. Ali, and K. Saenko, "Learning deep object detectors from 3D models, " in Proc. 2015 IEEE Int. Conf. Computer Vision, Santiago, Chile, 2015, pp. 1278-1286. doi: 10.1109/ICCV.2015.151
[28] B. C. Sun and K. Saenko, "From virtual to reality: fast adaptation of virtual object detectors to real domains, " in Proc. British Machine Vision Conference, Nottingham, 2014, pp. 3. http://www.researchgate.net/publication/273258920_From_Virtual_to_Reality_Fast_Adaptation_of_Virtual_Object_Detectors_to_Real_Domains
[29] S. R. Richter, V. Vineet, S. Roth, and V. Koltun, "Playing for data: ground truth from computer games, " in Proc. 14th European Conf. Computer Vision, Amsterdam, The Netherlands, 2016, pp. 102-118. http://arxiv.org/abs/1608.02192
[30] G. Ros, L. Sellart, J. Materzynska, D. Vazquez, and A. M. Lopez, "The SYNTHIA dataset: a large collection of synthetic images for semantic segmentation of urban scenes, " in Proc. 2016 IEEE Conf. Computer Vision and Pattern Recognition, Las Vegas, NV, USA, 2016, pp. 3234-3243. doi: 10.1109/CVPR.2016.352
[31] A. Gaidon, Q. Wang, Y. Cabon, and E. Vig, "Virtual worlds as proxy for multi-object tracking analysis, " in Proc. 2016 IEEE Conf. Computer Vision and Pattern Recognition, Las Vegas, NV, USA, 2016, pp. 4340-4349. doi: 10.1109/CVPR.2016.470
[32] I. J. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, "Generative adversarial nets, " Proc. 28th Annu. Conf. Neural Information Processing Systems, Montreal, Canada, 2014, pp. 2672-2680. http://dl.acm.org/citation.cfm?id=2969125
[33] K. F. Wang, C. Gou, Y. J. Duan, Y. L. Lin, X. H. Zheng, and F. Y. Wang, "Generative adversarial networks: introduction and outlook, " IEEE/CAA J. Autom. Sinica, vol. 4, no. 4, pp. 588-598, Sep. 2017. http://kns.cnki.net/KCMS/detail/detail.aspx?filename=zdhb201704002&dbname=CJFD&dbcode=CJFQ
[34] K. F. Wang, W. L. Huang, B. Tian, and D. Wen, "Measuring driving behaviors from live video, " IEEE Intell. Syst. , vol. 27, no. 5, pp. 75-80, Sep. -Oct. 2012. doi: 10.1109/MIS.2012.100
[35] K. F. Wang, Y. Q. Liu, C. Gou, and F. Y. Wang, "A multi-view learning approach to foreground detection for traffic surveillance applications, " IEEE Trans. Vehicul. Technol. , vol. 65, no. 6, pp. 4144-4158, Jun. 2016. doi: 10.1109/TVT.2015.2509465
[36] H. Zhang, K. F. Wang, and F. Y. Wang, "Advances and perspectives on applications of deep learning in visual object detection, " Acta Autom. Sinica, vol. 43, no. 8, pp. 1289-1305, Aug. 2017. http://www.en.cnki.com.cn/Article_en/CJFDTOTAL-MOTO201708001.htm
[37] X. Li, K. F. Wang, Y. L. Tian, L. Yan, and F. Y. Wang, "The ParallelEye dataset: Constructing large-scale artificial scenes for traffic vision research, " in Proc. 20th Int. Conf. Intel. Trans. Sys. , Yokohama, Japan, 2017, to be published. http://arxiv.org/abs/1712.08394