{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T12:08:00Z","timestamp":1774872480165,"version":"3.50.1"},"publisher-location":"Cham","reference-count":37,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319464534","type":"print"},{"value":"9783319464541","type":"electronic"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"vor","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":[[2016]]},"DOI":"10.1007\/978-3-319-46454-1_39","type":"book-chapter","created":{"date-parts":[[2016,9,15]],"date-time":"2016-09-15T09:15:09Z","timestamp":1473930909000},"page":"648-663","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":76,"title":["Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net"],"prefix":"10.1007","author":[{"given":"Fangting","family":"Xia","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang-Chieh","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alan L.","family":"Yuille","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,9,16]]},"reference":[{"issue":"11","key":"39_CR1","doi-asserted-by":"publisher","first-page":"2189","DOI":"10.1109\/TPAMI.2012.28","volume":"34","author":"B Alexe","year":"2012","unstructured":"Alexe, B., Deselaers, T., Ferrari, V.: Measuring the objectness of image windows. PAMI 34(11), 2189\u20132202 (2012)","journal-title":"PAMI"},{"issue":"5","key":"39_CR2","doi-asserted-by":"publisher","first-page":"898","DOI":"10.1109\/TPAMI.2010.161","volume":"33","author":"P Arbelaez","year":"2011","unstructured":"Arbelaez, P., Maire, M., Fowlkes, C., Malik, J.: Contour detection and hierarchical image segmentation. PAMI 33(5), 898\u2013916 (2011)","journal-title":"PAMI"},{"key":"39_CR3","doi-asserted-by":"crossref","unstructured":"Bo, Y., Fowlkes, C.C.: Shape-based pedestrian parsing. In: CVPR (2011)","DOI":"10.1109\/CVPR.2011.5995609"},{"key":"39_CR4","unstructured":"Chen, L.C., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.L.: Semantic image segmentation with deep convolutional nets and fully connected CRFs. In: ICLR (2015)"},{"key":"39_CR5","doi-asserted-by":"crossref","unstructured":"Chen, L.C., Yang, Y., Wang, J., Xu, W., Yuille, A.L.: Attention to scale: Scale-aware semantic image segmentation. arXiv:1511.03339 (2015)","DOI":"10.1109\/CVPR.2016.396"},{"key":"39_CR6","doi-asserted-by":"crossref","unstructured":"Chen, X., Mottaghi, R., Liu, X., Fidler, S., Urtasun, R., Yuille, A.L.: Detect what you can: Detecting and representing objects using holistic models and body parts. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.254"},{"key":"39_CR7","doi-asserted-by":"crossref","unstructured":"Dai, J., He, K., Sun, J.: Boxsup: exploiting bounding boxes to supervise convolutional networks for semantic segmentation. In: ICCV (2015)","DOI":"10.1109\/ICCV.2015.191"},{"key":"39_CR8","doi-asserted-by":"crossref","unstructured":"Dong, J., Chen, Q., Shen, X., Yang, J., Yan, S.: Towards unified human parsing and pose estimation. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.113"},{"key":"39_CR9","unstructured":"Eslami, S.M.A., Williams, C.K.I.: A generative model for parts-based object segmentation. In: NIPS (2012)"},{"issue":"1","key":"39_CR10","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1007\/s11263-014-0733-5","volume":"111","author":"M Everingham","year":"2014","unstructured":"Everingham, M., Eslami, S.A., Gool, L.V., Williams, C.K., Winn, J., Zisserman, A.: The pascal visual object classes challenge: a retrospective. IJCV 111(1), 98\u2013136 (2014)","journal-title":"IJCV"},{"issue":"1","key":"39_CR11","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/BF00126140","volume":"18","author":"L Florack","year":"1996","unstructured":"Florack, L., Romeny, B.T.H., Viergever, M., Koenderink, J.: The gaussian scale-space paradigm and the multiscale local jet. IJCV 18(1), 61\u201375 (1996)","journal-title":"IJCV"},{"key":"39_CR12","doi-asserted-by":"crossref","unstructured":"Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.81"},{"key":"39_CR13","doi-asserted-by":"crossref","unstructured":"Hariharan, B., Arbel\u00e1ez, P., Girshick, R., Malik, J.: Hypercolumns for object segmentation and fine-grained localization. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298642"},{"issue":"1","key":"39_CR14","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s11263-008-0137-5","volume":"80","author":"D Hoiem","year":"2008","unstructured":"Hoiem, D., Efros, A.A., Hebert, M.: Putting objects in perspective. IJCV 80(1), 3\u201315 (2008)","journal-title":"IJCV"},{"key":"39_CR15","unstructured":"Huang, L., Yang, Y., Deng, Y., Yu, Y.: Densebox: unifying landmark localization with end to end object detection. arXiv:1509.04874 (2015)"},{"key":"39_CR16","unstructured":"Kr\u00e4henb\u00fchl, P., Koltun, V.: Efficient inference in fully connected CRFs with gaussian edge potentials. In: NIPS (2011)"},{"issue":"11","key":"39_CR17","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y LeCun","year":"1998","unstructured":"LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"key":"39_CR18","doi-asserted-by":"crossref","unstructured":"Li, Y., Hou, X., Koch, C., Rehg, J., Yuille, A.: The secrets of salient object segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 280\u2013287 (2014)","DOI":"10.1109\/CVPR.2014.43"},{"key":"39_CR19","unstructured":"Liang, X., Wei, Y., Shen, X., Yang, J., Lin, L., Yan, S.: Proposal-free network for instance-level object segmentation. CoRR abs\/1509.02636 (2015)"},{"key":"39_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"740","DOI":"10.1007\/978-3-319-10602-1_48","volume-title":"Computer Vision \u2013 ECCV 2014","author":"T-Y Lin","year":"2014","unstructured":"Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Doll\u00e1r, P., Zitnick, C.L.: Microsoft COCO: common objects in context. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part V. LNCS, vol. 8693, pp. 740\u2013755. Springer, Heidelberg (2014)"},{"key":"39_CR21","doi-asserted-by":"crossref","unstructured":"Liu, S., Liang, X., Liu, L., Shen, X., Yang, J., Xu, C., Lin, L., Cao, X., Yan, S.: Matching-CNN meets KNN: quasi-parametric human parsing. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298748"},{"key":"39_CR22","doi-asserted-by":"crossref","unstructured":"Liu, Z., Li, X., Luo, P., Loy, C.C., Tang, X.: Semantic image segmentation via deep parsing network. In: ICCV (2015)","DOI":"10.1109\/ICCV.2015.162"},{"key":"39_CR23","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"39_CR24","doi-asserted-by":"crossref","unstructured":"Noh, H., Hong, S., Han, B.: Learning deconvolution network for semantic segmentation. arXiv:1505.04366 (2015)","DOI":"10.1109\/ICCV.2015.178"},{"key":"39_CR25","doi-asserted-by":"crossref","unstructured":"Papandreou, G., Chen, L.C., Murphy, K., Yuille, A.L.: Weakly- and semi-supervised learning of a dcnn for semantic image segmentation. In: ICCV (2015)","DOI":"10.1109\/ICCV.2015.203"},{"key":"39_CR26","doi-asserted-by":"crossref","unstructured":"Redmon, J., Divvala, S.K., Girshick, R.B., Farhadi, A.: You only look once: Unified, real-time object detection. CoRR abs\/1506.02640 (2015)","DOI":"10.1109\/CVPR.2016.91"},{"key":"39_CR27","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. arXiv:1506.01497 (2015)"},{"key":"39_CR28","unstructured":"Tsogkas, S., Kokkinos, I., Papandreou, G., Vedaldi, A.: Semantic part segmentation with deep learning. arXiv:1505.02438 (2015)"},{"key":"39_CR29","doi-asserted-by":"crossref","unstructured":"Wang, J., Yuille, A.: Semantic part segmentation using compositional model combining shape and appearance. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298788"},{"key":"39_CR30","doi-asserted-by":"crossref","unstructured":"Wang, P., Shen, X., Lin, Z., Cohen, S., Price, B., Yuille, A.: Joint object and part segmentation using deep learned potentials. In: ICCV (2015)","DOI":"10.1109\/ICCV.2015.184"},{"key":"39_CR31","unstructured":"Wang, P., Shen, X., Lin, Z., Cohen, S., Price, B., Yuille, A.L.: Towards unified depth and semantic prediction from a single image. In: CVPR (2015)"},{"key":"39_CR32","doi-asserted-by":"crossref","unstructured":"Wang, P., Wang, J., Zeng, G., Feng, J., Zha, H., Li, S.: Salient object detection for searched web images via global saliency. In: CVPR, pp. 3194\u20133201 (2012)","DOI":"10.1109\/CVPR.2012.6248054"},{"key":"39_CR33","unstructured":"Xia, F., Zhu, J., Wang, P., Yuille, A.L.: Pose-guided human parsing with deep learned features. AAAI abs\/1508.03881 (2016)"},{"key":"39_CR34","doi-asserted-by":"crossref","unstructured":"Yamaguchi, K., Kiapour, M.H., Ortiz, L.E., Berg, T.L.: Parsing clothing in fashion photographs. In: CVPR (2012)","DOI":"10.1109\/CVPR.2012.6248101"},{"key":"39_CR35","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1007\/978-3-319-10590-1_54","volume-title":"Computer Vision \u2013 ECCV 2014","author":"N Zhang","year":"2014","unstructured":"Zhang, N., Donahue, J., Girshick, R., Darrell, T.: Part-based R-CNNs for fine-grained category detection. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part I. LNCS, vol. 8689, pp. 834\u2013849. Springer, Heidelberg (2014)"},{"issue":"1","key":"39_CR36","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11263-010-0375-1","volume":"93","author":"LL Zhu","year":"2011","unstructured":"Zhu, L.L., Chen, Y., Lin, C., Yuille, A.: Max margin learning of hierarchical configural deformable templates (hcdts) for efficient object parsing and pose estimation. IJCV 93(1), 1\u201321 (2011)","journal-title":"IJCV"},{"key":"39_CR37","unstructured":"Zhu, Y., Urtasun, R., Salakhutdinov, R., Fidler, S.: segDeepM: exploiting segmentation and context in deep neural networks for object detection. In: CVPR (2015)"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2016"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-46454-1_39","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,10]],"date-time":"2025-06-10T19:01:11Z","timestamp":1749582071000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-46454-1_39"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319464534","9783319464541"],"references-count":37,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-46454-1_39","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"16 September 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Amsterdam","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.eccv2016.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}