[1] GUO R, DAI Q, HOIEM D. Paired regions for shadow detection and removal[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(12):2956-2967.
[2] KHAN S H, BENNAMOUN M, SOHEL F, et al. Automatic shadow detection and removal from a single image[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016, 38(3):431-446.
[3] 张营,朱岱寅,俞翔,等.一种VideoSAR动目标阴影检测方法[J].电子与信息学报,2017,39(9):2197-2202.(ZHANG Y, ZHU D Y, YU X, et al. Approach to moving targets shadow detection for VideoSAR[J]. Journal of Electronics and Information Technology, 2017, 39(9):2197-2202.)
[4] ZHANG L, ZHANG Q, XIAO C. Shadow remover:image shadow removal based on illumination recovering optimization[J]. IEEE Transactions on Image Processing, 2015, 24(11):4623-4636.
[5] ZHANG L, ZHU Y, LIAO B, et al. Video shadow removal using spatio-temporal illumination transfer[J]. Computer Graphics Forum, 2017, 36(7):125-134.
[6] SHEN L, CHUA T W, LEMAN K. Shadow optimization from structured deep edge detection[C]//Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway, NJ:IEEE, 2015:2067-2074.
[7] LIU F, GLEICHER M. Texture-consistent shadow removal[C]//Proceedings of the 2008 European Conference on Computer Vision, LNCS 5305. Berlin:Springer, 2008:437-450.
[8] FINLAYSON G D, HORDLEY S D, DREW M S. Removing shadows from images[C]//Proceedings of the 2002 European Conference on Computer Vision, LNCS 2353. Berlin:Springer, 2002:823-836.
[9] FINLAYSON G D, HORDLEY S D, LU C, et al. On the removal of shadows from images[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28(1):59-68.
[10] MOHAN A, TUMBLIN J, CHOUDHURY P. Editing soft shadows in a digital photograph[J]. IEEE Computer Graphics and Applications, 2007, 27(2):23-31.
[11] CHUANG Y, CURLESS B, SALESIN D H, et al. A Bayesian approach to digital matting[C]//Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Piscataway, NJ:IEEE, 2001, 2:264.
[12] ARBEL E, HEL-OR H. Shadow removal using intensity surfaces and texture anchor points[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(6):1202-1216.
[13] WANG J, LI X, HUI L, et al. Stacked conditional generative adversarial networks for jointly learning shadow detection and shadow removal[C]//Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Piscataway, NJ:IEEE, 2018:1788-1797.
[14] BARRON J T, MALIK J. Shape, illumination, and reflectance from shading[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(8):1670-1687.
[15] QU L, TIAN J, HE S, et al. DeshadowNet:a multi-context embedding deep network for shadow removal[C]//Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition. Washington, DC:IEEE Computer Society, 2017:2308-2316.
[16] ZHU J, SAMUEL K G G, MASOOD S Z, et al. Learning to recognize shadows in monochromatic natural images[C]//Proceedings of the 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Piscataway, NJ:IEEE, 2010:223-230.
[17] LALONDE J, EFROS A A, NARASIMHAN S G. Detecting ground shadows in outdoor consumer photographs[C]//Proceedings of the 2010 European Conference on Computer Vision, LNCS 6312. Berlin:Springer, 2010:322-335.
[18] FINLAYSON G D, DREW M S, LU C. Entropy minimization for shadow removal[J]. International Journal of Computer Vision, 2009, 85(1):35-57.
[19] GOODFELLOW I J, POUGET-ABADIE J, MIRZA M, et al. Generative adversarial nets[C]//Proceedings of the 27th International Conference on Neural Information Processing Systems. Cambridge, MA:MIT Press, 2014, 2:2672-2680.
[20] MIRZA M, OSINDERO S. Conditional generative adversarial nets[C]//Proceedings of the 2014 Advances in Neural Information Processing Systems. Montreal,Canada:[s.n.], 2014:2672-2680.
[21] ISOLA P, ZHU J, ZHOU T, et al. Image-to-image translation with conditional adversarial networks[C]//Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway, NJ:IEEE, 2017:5967-5976.
[22] LE H, VICENTE T F Y, NGUYEN V, et al. A+D net:training a shadow detector with adversarial shadow attenuation[C]//Proceedings of the 2018 European Conference on Computer Vision, LNCS 11206. Berlin:Springer, 2018:680-696.
[23] 施文娟,孙彦景,左海维,等.基于视频自然统计特性的无参考移动终端视频质量评价[J].电子与信息学报,2018,40(1):143-150.(SHI W J, SUN Y J, ZUO H W, et al. No-reference mobile video quality assessment based on video natural statistics[J]. Jounal of Electronics and Information Technology, 2018, 40(1):143-150.
[24] IOFFE S, SZEGEDY C. Batch normalization:accelerating deep network training by reducing internal covariate shift[C]//Proceedings of the 32nd International Conference on International Conference on Machine Learning. Lille, France:[s.n.], 2015:448-456.
[25] JOHNSON J, ALAHI A, LI F. Perceptual losses for real-time style transfer and super-resolution[C]//Proceedings of the 2016 European Conference on Computer Vision, LNCS 9906. Berlin:Springer, 2016:694-711.
[26] WONGSUPHASAWAT K, SMILKOV D, WEXLER J, et al. Visualizing dataflow graphs of deep learning models in TensorFlow[J]. IEEE Transactions on Visualization and Computer Graphics, 2018, 24(1):1-12. |