{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:01:09Z","timestamp":1760709669709,"version":"3.41.0"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319973036"},{"type":"electronic","value":"9783319973043"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-97304-3_61","type":"book-chapter","created":{"date-parts":[[2018,7,26]],"date-time":"2018-07-26T18:34:06Z","timestamp":1532630046000},"page":"797-810","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Joint Residual Pyramid for Depth Map Super-Resolution"],"prefix":"10.1007","author":[{"given":"Yi","family":"Xiao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xianyi","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,7,27]]},"reference":[{"key":"61_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1007\/978-3-642-33712-3_6","volume-title":"Computer Vision \u2013 ECCV 2012","author":"O Mac Aodha","year":"2012","unstructured":"Mac Aodha, O., Campbell, N.D.F., Nair, A., Brostow, G.J.: Patch based synthesis for single depth image super-resolution. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, vol. 7574, pp. 71\u201384. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-33712-3_6"},{"key":"61_CR2","doi-asserted-by":"crossref","unstructured":"Chen, Q., Koltun, V.: Photographic image synthesis with cascaded refinement networks. In: ICCV, pp. 1520\u20131529 (2017)","DOI":"10.1109\/ICCV.2017.168"},{"key":"61_CR3","doi-asserted-by":"crossref","unstructured":"Cheng, M.M., Warrell, J., Lin, W.Y., Zheng, S., Vineet, V., Crook, N.: Efficient salient region detection with soft image abstraction. In: ICCV, pp. 1529\u20131536 (2013)","DOI":"10.1109\/ICCV.2013.193"},{"key":"61_CR4","unstructured":"Diebel, J., Thrun, S.: An application of markov random fields to range sensing. In: NIPS, pp. 291\u2013298 (2005)"},{"key":"61_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1007\/978-3-319-10593-2_13","volume-title":"Computer Vision \u2013 ECCV 2014","author":"C Dong","year":"2014","unstructured":"Dong, C., Loy, C.C., He, K., Tang, X.: Learning a deep convolutional network for image super-resolution. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8692, pp. 184\u2013199. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10593-2_13"},{"key":"61_CR6","unstructured":"Dong, C., Loy, C.C., Tang, X.: Accelerating the super-resolution convolutional neural network. arXiv abs\/1608.00367 (2016). http:\/\/arxiv.org\/abs\/1608.00367"},{"key":"61_CR7","doi-asserted-by":"crossref","unstructured":"Ferstl, D., Reinbacher, C., Ranftl, R., Ruether, M., Bischof, H.: Image guided depth upsampling using anisotropic total generalized variation. In: ICCV, pp. 993\u20131000 (2013)","DOI":"10.1109\/ICCV.2013.127"},{"key":"61_CR8","doi-asserted-by":"crossref","unstructured":"Ham, B., Cho, M., Ponce, J.: Robust image filtering using joint static and dynamic guidance. In: CVPR, pp. 4823\u20134831 (2015)","DOI":"10.1109\/CVPR.2015.7299115"},{"key":"61_CR9","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"61_CR10","first-page":"1","volume-title":"Computer Vision \u2013 ECCV 2010","author":"Kaiming He","year":"2010","unstructured":"He, K., Sun, J., Tang, X.: Guided image filtering. In: ECCV, pp. 1\u201314 (2010)"},{"key":"61_CR11","doi-asserted-by":"crossref","unstructured":"Hirschmuller, H., Scharstein, D.: Evaluation of cost functions for stereo matching. In: CVPR, pp. 1\u20138 (2007)","DOI":"10.1109\/CVPR.2007.383248"},{"key":"61_CR12","doi-asserted-by":"crossref","unstructured":"Huang, G., Liu, Z., Weinberger, K.Q.: Densely connected convolutional networks. In: CVPR (2017)","DOI":"10.1109\/CVPR.2017.243"},{"key":"61_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1007\/978-3-319-46487-9_22","volume-title":"Computer Vision \u2013 ECCV 2016","author":"T-W Hui","year":"2016","unstructured":"Hui, T.-W., Loy, C.C., Tang, X.: Depth map super-resolution by deep multi-scale guidance. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9907, pp. 353\u2013369. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46487-9_22"},{"key":"61_CR14","doi-asserted-by":"crossref","unstructured":"Kopf, J., Cohen, M.F., Lischinski, D., Uyttendaele, M.: Joint bilateral upsampling. In: SIGGRAPH, p. 96 (2007)","DOI":"10.1145\/1275808.1276497"},{"key":"61_CR15","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: NIPS, pp. 1097\u20131105 (2012)"},{"issue":"4","key":"61_CR16","first-page":"1732","volume":"26","author":"J Lei","year":"2017","unstructured":"Lei, J., Li, L., Yue, H., Wu, F., Ling, N., Hou, C.: Depth map super-resolution considering view synthesis quality. TIP 26(4), 1732 (2017)","journal-title":"TIP"},{"key":"61_CR17","doi-asserted-by":"crossref","unstructured":"Levin, A., Lischinski, D., Weiss, Y.: Colorization using optimization. In: SIGGRAPH, pp. 689\u2013694 (2004)","DOI":"10.1145\/1186562.1015780"},{"key":"61_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1007\/978-3-319-46493-0_10","volume-title":"Computer Vision \u2013 ECCV 2016","author":"Y Li","year":"2016","unstructured":"Li, Y., Huang, J.-B., Ahuja, N., Yang, M.-H.: Deep joint image filtering. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9908, pp. 154\u2013169. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46493-0_10"},{"key":"61_CR19","doi-asserted-by":"crossref","unstructured":"Liu, M.Y., Tuzel, O., Taguchi, Y.: Joint geodesic upsampling of depth images. In: CVPR, pp. 169\u2013176 (2013)","DOI":"10.1109\/CVPR.2013.29"},{"key":"61_CR20","doi-asserted-by":"crossref","unstructured":"Lu, J., Forsyth, D.: Sparse depth super resolution. In: CVPR, pp. 2245\u20132253 (2015)","DOI":"10.1109\/CVPR.2015.7298837"},{"key":"61_CR21","doi-asserted-by":"crossref","unstructured":"Lu, S., Ren, X., Liu, F.: Depth enhancement via low-rank matrix completion. In: CVPR, pp. 3390\u20133397 (2014)","DOI":"10.1109\/CVPR.2014.433"},{"key":"61_CR22","unstructured":"Mathieu, M., Couprie, C., Lecun, Y.: Deep multi-scale video prediction beyond mean square error. In: ICLR (2016)"},{"key":"61_CR23","doi-asserted-by":"crossref","unstructured":"Park, J., Kim, H., Tai, Y.W., Brown, M.S., Kweon, I.: High quality depth map upsampling for 3D-TOF cameras. In: ICCV, pp. 1623\u20131630 (2011)","DOI":"10.1109\/ICCV.2011.6126423"},{"key":"61_CR24","doi-asserted-by":"crossref","unstructured":"Ren, H., Elkhamy, M., Lee, J.: Image super resolution based on fusing multiple convolution neural networks. In: CVPR, pp. 1050\u20131057 (2017)","DOI":"10.1109\/CVPRW.2017.142"},{"issue":"1\u20133","key":"61_CR25","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1023\/A:1014573219977","volume":"47","author":"D Scharstein","year":"2002","unstructured":"Scharstein, D., Szeliski, R.: A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. IJCV 47(1\u20133), 7\u201342 (2002)","journal-title":"IJCV"},{"key":"61_CR26","doi-asserted-by":"crossref","unstructured":"Scharstein, D., Pal, C.: Learning conditional random fields for stereo. In: CVPR, pp. 1\u20138 (2007)","DOI":"10.1109\/CVPR.2007.383191"},{"key":"61_CR27","unstructured":"Shen, X., Chen, Y., Tao, X., Jia, J.: Convolutional neural pyramid for image processing. CoRR abs\/1704.02071 (2017). http:\/\/arxiv.org\/abs\/1704.02071"},{"key":"61_CR28","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"746","DOI":"10.1007\/978-3-642-33715-4_54","volume-title":"Computer Vision \u2013 ECCV 2012","author":"N Silberman","year":"2012","unstructured":"Silberman, N., Hoiem, D., Kohli, P., Fergus, R.: Indoor segmentation and support inference from RGBD images. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, vol. 7576, pp. 746\u2013760. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-33715-4_54"},{"key":"61_CR29","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. Computer Science (2014)"},{"key":"61_CR30","doi-asserted-by":"crossref","unstructured":"Song, S., Lichtenberg, S.P., Xiao, J.: Sun RGB-D: a RGB-D scene understanding benchmark suite. In: CVPR, pp. 567\u2013576 (2015)","DOI":"10.1109\/CVPR.2015.7298655"},{"issue":"8","key":"61_CR31","first-page":"3443","volume":"23","author":"J Yang","year":"2014","unstructured":"Yang, J., Ye, X., Li, K., Hou, C., Wang, Y.: Color-guided depth recovery from RGB-D data using an adaptive autoregressive model. TIP 23(8), 3443\u20133458 (2014)","journal-title":"TIP"},{"key":"61_CR32","doi-asserted-by":"crossref","unstructured":"Yang, Q., Yang, R., Davis, J., Nister, D.: Spatial-depth super resolution for range images. In: CVPR, pp. 1\u20138 (2007)","DOI":"10.1109\/CVPR.2007.383211"}],"container-title":["Lecture Notes in Computer Science","PRICAI 2018: Trends in Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-97304-3_61","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,6]],"date-time":"2025-07-06T02:00:22Z","timestamp":1751767222000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-97304-3_61"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319973036","9783319973043"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-97304-3_61","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}