{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T02:17:51Z","timestamp":1774059471118,"version":"3.50.1"},"reference-count":73,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2018,3,21]],"date-time":"2018-03-21T00:00:00Z","timestamp":1521590400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,3,21]],"date-time":"2018-03-21T00:00:00Z","timestamp":1521590400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1212849"],"award-info":[{"award-number":["1212849"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1447476"],"award-info":[{"award-number":["1447476"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1524817"],"award-info":[{"award-number":["1524817"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000006","name":"Office of Naval Research","doi-asserted-by":"publisher","award":["N00014-16-1-2007"],"award-info":[{"award-number":["N00014-16-1-2007"]}],"id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shell Research"},{"DOI":"10.13039\/100015599","name":"Toyota Research Institute","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100015599","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["STC award CCF-1231216"],"award-info":[{"award-number":["STC award CCF-1231216"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Comput Vis"],"published-print":{"date-parts":[[2018,9]]},"DOI":"10.1007\/s11263-018-1074-6","type":"journal-article","created":{"date-parts":[[2018,3,21]],"date-time":"2018-03-21T04:42:33Z","timestamp":1521607353000},"page":"1009-1026","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["3D Interpreter Networks for Viewer-Centered Wireframe Modeling"],"prefix":"10.1007","volume":"126","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4176-343X","authenticated-orcid":false,"given":"Jiajun","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianfan","family":"Xue","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joseph J.","family":"Lim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuandong","family":"Tian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joshua B.","family":"Tenenbaum","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonio","family":"Torralba","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"William T.","family":"Freeman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,3,21]]},"reference":[{"key":"1074_CR1","doi-asserted-by":"crossref","unstructured":"Akhter, I., & Black, M. J. (2015). Pose-conditioned joint angle limits for 3d human pose reconstruction. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2015.7298751"},{"key":"1074_CR2","doi-asserted-by":"crossref","unstructured":"Aubry, M., Maturana, D., Efros, A., Russell, B., & Sivic, J. (2014). Seeing 3d chairs: Exemplar part-based 2d\u20133d alignment using a large dataset of cad models. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2014.487"},{"key":"1074_CR3","doi-asserted-by":"crossref","unstructured":"Bansal, A., & Russell, B. (2016). Marr revisited: 2d\u20133d alignment via surface normal prediction. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2016.642"},{"key":"1074_CR4","unstructured":"Barrow, H. G., & Tenenbaum, J. M. (1978). Recovering intrinsic scene characteristics from images. Computer Vision Systems"},{"issue":"12","key":"1074_CR5","doi-asserted-by":"publisher","first-page":"2930","DOI":"10.1109\/TPAMI.2013.23","volume":"35","author":"PN Belhumeur","year":"2013","unstructured":"Belhumeur, P. N., Jacobs, D. W., Kriegman, D. J., & Kumar, N. (2013). Localizing parts of faces using a consensus of exemplars. IEEE Transactions on Pattern Analysis and Machine intelligence, 35(12), 2930\u20132940.","journal-title":"IEEE Transactions on Pattern Analysis and Machine intelligence"},{"issue":"2\u20133","key":"1074_CR6","doi-asserted-by":"crossref","first-page":"174","DOI":"10.5964\/bioling.8783","volume":"4","author":"TG Bever","year":"2010","unstructured":"Bever, T. G., & Poeppel, D. (2010). Analysis by synthesis: A (re-) emerging program of research for language and vision. Biolinguistics, 4(2\u20133), 174\u2013200.","journal-title":"Biolinguistics"},{"key":"1074_CR7","doi-asserted-by":"crossref","unstructured":"Bourdev, L., Maji, S., Brox, T., & Malik, J. (2010). Detecting people using mutually consistent poselet activations. In European Conference on Computer Vision.","DOI":"10.1007\/978-3-642-15567-3_13"},{"key":"1074_CR8","doi-asserted-by":"crossref","unstructured":"Carreira, J., Agrawal, P., Fragkiadaki, K., & Malik, J. (2016). Human pose estimation with iterative error feedback. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2016.512"},{"key":"1074_CR9","doi-asserted-by":"crossref","unstructured":"Chen, J., Izadi, S., & Fitzgibbon, A. (2012). Kin\u00eatre: Animating the world with the human body. In ACM symposium on user interface software and technology.","DOI":"10.1145\/2380116.2380171"},{"key":"1074_CR10","doi-asserted-by":"crossref","unstructured":"Choy, C. B., Xu, D., Gwak, J., Chen, K., & Savarese, S. (2016). 3d-r2n2: A unified approach for single and multi-view 3d object reconstruction. In European conference on computer vision.","DOI":"10.1007\/978-3-319-46484-8_38"},{"key":"1074_CR11","doi-asserted-by":"crossref","unstructured":"Dosovitskiy, A., Tobias\u00a0Springenberg, J., & Brox, T. (2015). Learning to generate chairs with convolutional neural networks. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2015.7298761"},{"key":"1074_CR12","unstructured":"Fidler, S., Dickinson, S. J., & Urtasun, R. (2012). 3d object detection and viewpoint estimation with a deformable 3d cuboid model. In Advances in neural information processing systems."},{"key":"1074_CR13","doi-asserted-by":"crossref","unstructured":"Girshick, R., Donahue, J., Darrell, T., & Malik, J. (2014). Rich feature hierarchies for accurate object detection and semantic segmentation. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2014.81"},{"key":"1074_CR14","unstructured":"Hejrati, M., & Ramanan, D. (2012). Analyzing 3d objects in cluttered images. In Advances in neural information processing systems."},{"key":"1074_CR15","doi-asserted-by":"crossref","unstructured":"Hejrati, M., & Ramanan, D. (2014). Analysis by synthesis: 3d object recognition by object reconstruction. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2014.314"},{"issue":"1358","key":"1074_CR16","doi-asserted-by":"publisher","first-page":"1177","DOI":"10.1098\/rstb.1997.0101","volume":"352","author":"GE Hinton","year":"1997","unstructured":"Hinton, G. E., & Ghahramani, Z. (1997). Generative models for discovering sparse distributed representations. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 352(1358), 1177\u20131190.","journal-title":"Philosophical Transactions of the Royal Society of London B: Biological Sciences"},{"key":"1074_CR17","unstructured":"Hinton, G. F. (1981). A parallel computation that assigns canonical object-based frames of reference. In International joint conference on artificial intelligence."},{"issue":"6","key":"1074_CR18","doi-asserted-by":"publisher","first-page":"1190","DOI":"10.1109\/TPAMI.2014.2362141","volume":"37","author":"W Hu","year":"2015","unstructured":"Hu, W., & Zhu, S. C. (2015). Learning 3d object templates by quantizing geometry and appearance spaces. IEEE Transactions on Pattern Analysis and Machine intelligence, 37(6), 1190\u20131205.","journal-title":"IEEE Transactions on Pattern Analysis and Machine intelligence"},{"issue":"4","key":"1074_CR19","first-page":"87","volume":"34","author":"Q Huang","year":"2015","unstructured":"Huang, Q., Wang, H., & Koltun, V. (2015). Single-view reconstruction via joint analysis of image and shape collections. ACM Transactions on Graphics, 34(4), 87.","journal-title":"ACM Transactions on Graphics"},{"key":"1074_CR20","unstructured":"Jaderberg, M., Simonyan, K., Zisserman, A., & Kavukcuoglu, K. (2015). Spatial transformer networks. In Advances in neural information processing systems."},{"key":"1074_CR21","doi-asserted-by":"crossref","unstructured":"Kar, A., Tulsiani, S., Carreira, J., & Malik, J. (2015). Category-specific object reconstruction from a single image. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2015.7298807"},{"key":"1074_CR22","unstructured":"Kar, A., H\u00e4ne, C., & Malik, J. (2017). Learning a multi-view stereo machine. In Advances in neural information processing systems."},{"key":"1074_CR23","unstructured":"Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2012). Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems."},{"key":"1074_CR24","doi-asserted-by":"crossref","unstructured":"Kulkarni, T. D., Kohli, P., Tenenbaum, J. B., & Mansinghka, V. (2015a). Picture: A probabilistic programming language for scene perception. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2015.7299068"},{"key":"1074_CR25","unstructured":"Kulkarni, T. D., Whitney, W. F., Kohli, P., & Tenenbaum, J. B. (2015b) Deep convolutional inverse graphics network. In Advances in neural information processing systems."},{"issue":"2","key":"1074_CR26","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1007\/BF00129683","volume":"9","author":"YG Leclerc","year":"1992","unstructured":"Leclerc, Y. G., & Fischler, M. A. (1992). An optimization-based approach to the interpretation of single line drawings as 3d wire frames. International Journal of Computer Vision, 9(2), 113\u2013136.","journal-title":"International Journal of Computer Vision"},{"issue":"6","key":"1074_CR27","first-page":"234","volume":"34","author":"Y Li","year":"2015","unstructured":"Li, Y., Su, H., Qi, C. R., Fish, N., Cohen-Or, D., & Guibas, L. J. (2015). Joint embeddings of shapes and images via cnn image purification. ACM Transactions on Graphics, 34(6), 234.","journal-title":"ACM Transactions on Graphics"},{"key":"1074_CR28","doi-asserted-by":"crossref","unstructured":"Lim, J. J., Pirsiavash, H., & Torralba, A. (2013). Parsing ikea objects: Fine pose estimation. In IEEE international conference on computer vision.","DOI":"10.1109\/ICCV.2013.372"},{"key":"1074_CR29","doi-asserted-by":"crossref","unstructured":"Lim, J. J., Khosla, A., Torralba, A. (2014). FPM: Fine pose parts-based model with 3d cad models. In European conference on computer vision.","DOI":"10.1007\/978-3-319-10599-4_31"},{"key":"1074_CR30","doi-asserted-by":"crossref","unstructured":"Liu, J., & Belhumeur, P. N. (2013). Bird part localization using exemplar-based models with enforced pose and subcategory consistency. In IEEE international conference on computer vision.","DOI":"10.1109\/ICCV.2013.313"},{"issue":"3","key":"1074_CR31","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1016\/0004-3702(87)90070-1","volume":"31","author":"DG Lowe","year":"1987","unstructured":"Lowe, D. G. (1987). Three-dimensional object recognition from single two-dimensional images. Artificial intelligence, 31(3), 355\u2013395.","journal-title":"Artificial intelligence"},{"key":"1074_CR32","doi-asserted-by":"crossref","unstructured":"McCormac, J., Handa, A., Leutenegger, S., & Davison, A. J. (2017). Scenenet rgb-d: Can 5m synthetic images beat generic imagenet pre-training on indoor segmentation. In IEEE international conference on computer vision.","DOI":"10.1109\/ICCV.2017.292"},{"key":"1074_CR33","doi-asserted-by":"crossref","unstructured":"Newcombe, R. A., Izadi, S., Hilliges, O., Molyneaux, D., Kim, D., Davison, A. J., Kohi, P., Shotton, J., Hodges, S., & Fitzgibbon, A. (2011). Kinectfusion: Real-time dense surface mapping and tracking. In IEEE international symposium on mixed and augmented reality (pp. 127\u2013136).","DOI":"10.1109\/ISMAR.2011.6092378"},{"key":"1074_CR34","doi-asserted-by":"crossref","unstructured":"Newell, A., Yang, K., & Deng, J. (2016) Stacked hourglass networks for human pose estimation. In European conference on computer vision.","DOI":"10.1007\/978-3-319-46484-8_29"},{"key":"1074_CR35","doi-asserted-by":"crossref","unstructured":"Pepik, B., Stark, M., Gehler, P., & Schiele, B. (2012). Teaching 3d geometry to deformable part models. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2012.6248075"},{"key":"1074_CR36","doi-asserted-by":"crossref","unstructured":"Prasad, M., Fitzgibbon, A., Zisserman, A., & Van\u00a0Gool, L. (2010). Finding nemo: Deformable object class modelling using curve matching. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2010.5539840"},{"key":"1074_CR37","doi-asserted-by":"crossref","unstructured":"Ramakrishna, V., Kanade, T., & Sheikh, Y. (2012). Reconstructing 3d human pose from 2d image landmarks. In European conference on computer vision.","DOI":"10.1007\/978-3-642-33765-9_41"},{"key":"1074_CR38","unstructured":"Ren, S., He, K., Girshick, R., & Sun, J. (2015). Faster R-CNN: Towards real-time object detection with region proposal networks. In Advances in neural information processing systems."},{"issue":"3","key":"1074_CR39","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakovsky","year":"2015","unstructured":"Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., et al. (2015). Imagenet large scale visual recognition challenge. International Journal of Computer Vision, 115(3), 211\u2013252.","journal-title":"International Journal of Computer Vision"},{"key":"1074_CR40","doi-asserted-by":"crossref","unstructured":"Sapp, B., & Taskar, B. (2013). Modec: Multimodal decomposable models for human pose estimation. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2013.471"},{"key":"1074_CR41","doi-asserted-by":"crossref","unstructured":"Satkin, S., Lin, J., & Hebert, M. (2012). Data-driven scene understanding from 3D models. In British machine vision conference.","DOI":"10.5244\/C.26.128"},{"key":"1074_CR42","doi-asserted-by":"crossref","unstructured":"Shakhnarovich, G., Viola, P., & Darrell, T. (2003). Fast pose estimation with parameter-sensitive hashing. In IEEE international conference on computer vision.","DOI":"10.1109\/ICCV.2003.1238424"},{"key":"1074_CR43","doi-asserted-by":"crossref","unstructured":"Shih, K. J., Mallya, A., Singh, S., & Hoiem, D. (2015). Part localization using multi-proposal consensus for fine-grained categorization. In British machine vision conference.","DOI":"10.5244\/C.29.128"},{"key":"1074_CR44","doi-asserted-by":"crossref","unstructured":"Shrivastava, A., & Gupta, A. (2013). Building part-based object detectors via 3d geometry. In IEEE international conference on computer vision.","DOI":"10.1109\/ICCV.2013.219"},{"key":"1074_CR45","doi-asserted-by":"crossref","unstructured":"Soltani, A. A., Huang, H., Wu, J., Kulkarni, T. D., & Tenenbaum, J. B. (2017) Synthesizing 3d shapes via modeling multi-view depth maps and silhouettes with deep generative networks. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2017.269"},{"key":"1074_CR46","doi-asserted-by":"crossref","unstructured":"Song, S., Yu, F., Zeng, A., Chang, A.X., Savva, M., & Funkhouser, T. (2017). Semantic scene completion from a single depth image. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2017.28"},{"issue":"4","key":"1074_CR47","first-page":"37","volume":"33","author":"H Su","year":"2014","unstructured":"Su, H., Huang, Q., Mitra, N. J., Li, Y., & Guibas, L. (2014). Estimating image depth using shape collections. ACM Transactions on Graphics, 33(4), 37.","journal-title":"ACM Transactions on Graphics"},{"key":"1074_CR48","doi-asserted-by":"crossref","unstructured":"Su, H., Qi, C. R., Li, Y., & Guibas, L. (2015). Render for cnn: Viewpoint estimation in images using cnns trained with rendered 3d model views. In IEEE international conference on computer vision.","DOI":"10.1109\/ICCV.2015.308"},{"key":"1074_CR49","doi-asserted-by":"crossref","unstructured":"Sun, B., & Saenko, K. (2014) From virtual to reality: Fast adaptation of virtual object detectors to real domains. In British machine vision conference.","DOI":"10.5244\/C.28.82"},{"key":"1074_CR50","doi-asserted-by":"crossref","unstructured":"Taigman, Y., Yang, M., Ranzato, M., & Wolf, L. (2015). Web-scale training for face identification. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2015.7298891"},{"key":"1074_CR51","doi-asserted-by":"crossref","unstructured":"Tompson, J., Goroshin, R., Jain, A., LeCun, Y., & Bregler, C. (2015). Efficient object localization using convolutional networks. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2015.7298664"},{"key":"1074_CR52","unstructured":"Tompson, J. J., Jain, A., LeCun, Y., & Bregler, C. (2014). Joint training of a convolutional network and a graphical model for human pose estimation. In Advances in neural information processing systems."},{"key":"1074_CR53","doi-asserted-by":"crossref","unstructured":"Torralba, A., & Efros, A. A. (2011) Unbiased look at dataset bias. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2011.5995347"},{"key":"1074_CR54","unstructured":"Torresani, L., Hertzmann, A., & Bregler, C. (2003). Learning non-rigid 3d shape from 2d motion. In Advances in neural information processing systems."},{"key":"1074_CR55","doi-asserted-by":"crossref","unstructured":"Toshev, A., & Szegedy, C. (2014). Deeppose: Human pose estimation via deep neural networks. In IEEE conference on computer vision and pattern recognition (pp. 1653\u20131660).","DOI":"10.1109\/CVPR.2014.214"},{"key":"1074_CR56","doi-asserted-by":"crossref","unstructured":"Tulsiani, S., & Malik, J. (2015). Viewpoints and keypoints. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2015.7298758"},{"key":"1074_CR57","doi-asserted-by":"crossref","unstructured":"Tulsiani, S., Zhou, T., Efros, A. A., & Malik, J. (2017). Multi-view supervision for single-view reconstruction via differentiable ray consistency. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2017.30"},{"issue":"11","key":"1074_CR58","first-page":"2579","volume":"9","author":"L Van der Maaten","year":"2008","unstructured":"Van der Maaten, L., & Hinton, G. (2008). Visualizing data using t-sne. Journal of Machine Learning Research, 9(11), 2579\u20132605.","journal-title":"Journal of Machine Learning Research"},{"key":"1074_CR59","doi-asserted-by":"crossref","unstructured":"Vicente, S., Carreira, J., Agapito, L., & Batista, J. (2014). Reconstructing pascal voc. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2014.13"},{"key":"1074_CR60","unstructured":"Wah, C., Branson, S., Welinder, P., Perona, P., & Belongie, S. (2011). The Caltech-UCSD Birds-200-2011 Dataset. Technical Report CNS-TR-2011-001, California Institute of Technology."},{"key":"1074_CR61","unstructured":"Wu, J., Yildirim, I., Lim, J. J., Freeman, B., & Tenenbaum, J. (2015). Galileo: Perceiving physical object properties by integrating a physics engine with deep learning. In Advances in neural information processing systems."},{"key":"1074_CR62","unstructured":"Wu, J., Zhang, C., Xue, T., Freeman, W. T., & Tenenbaum, J. B. (2016) Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling. In Advances in neural information processing systems."},{"key":"1074_CR63","unstructured":"Wu, J., Wang, Y., Xue, T., Sun, X., Freeman, W. T., & Tenenbaum, J. B. (2017). Marrnet: 3d shape reconstruction via 2.5d sketches. In Advances in neural information processing systems."},{"key":"1074_CR64","doi-asserted-by":"crossref","unstructured":"Xiang, Y., Mottaghi, R., & Savarese, S. (2014). Beyond pascal: A benchmark for 3d object detection in the wild. In IEEE winter conference on applications of computer vision.","DOI":"10.1109\/WACV.2014.6836101"},{"key":"1074_CR65","doi-asserted-by":"crossref","unstructured":"Xiao, J., Hays, J., Ehinger, K., Oliva, A., & Torralba, A. (2010) Sun database: Large-scale scene recognition from abbey to zoo. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2010.5539970"},{"key":"1074_CR66","unstructured":"Xue, T., Liu, J., & Tang, X. (2012). Example-based 3d object reconstruction from line drawings. In IEEE conference on computer vision and pattern recognition."},{"key":"1074_CR67","doi-asserted-by":"crossref","unstructured":"Yang, Y., & Ramanan, D. (2011) Articulated pose estimation with flexible mixtures-of-parts. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2011.5995741"},{"key":"1074_CR68","doi-asserted-by":"crossref","unstructured":"Yasin, H., Iqbal, U., Kr\u00fcger, B., Weber, A., & Gall, J. (2016). A dual-source approach for 3d pose estimation from a single image. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2016.535"},{"issue":"7","key":"1074_CR69","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1016\/j.tics.2006.05.002","volume":"10","author":"A Yuille","year":"2006","unstructured":"Yuille, A., & Kersten, D. (2006). Vision as bayesian inference: Analysis by synthesis? Trends in Cognitive Sciences, 10(7), 301\u2013308.","journal-title":"Trends in Cognitive Sciences"},{"key":"1074_CR70","unstructured":"Zeng, A., Song, S., Nie\u00dfner, M., Fisher, M., Xiao, J. (2017). 3dmatch: Learning the matching of local 3d geometry in range scans. In IEEE conference on computer vision and pattern recognition."},{"key":"1074_CR71","doi-asserted-by":"crossref","unstructured":"Zhou, T., Kr\u00e4henb\u00fchl, P., Aubry, M., Huang, Q., & Efros, A. A. (2016) Learning dense correspondence via 3d-guided cycle consistency. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2016.20"},{"key":"1074_CR72","doi-asserted-by":"crossref","unstructured":"Zhou, X., Leonardos, S., Hu, X., & Daniilidis, K. (2015) 3d shape reconstruction from 2d landmarks: A convex formulation. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2015.7299074"},{"issue":"11","key":"1074_CR73","doi-asserted-by":"publisher","first-page":"2608","DOI":"10.1109\/TPAMI.2013.87","volume":"35","author":"MZ Zia","year":"2013","unstructured":"Zia, M. Z., Stark, M., Schiele, B., & Schindler, K. (2013). Detailed 3d representations for object recognition and modeling. IEEE Transactions on Pattern Analysis and Machine intelligence, 35(11), 2608\u20132623.","journal-title":"IEEE Transactions on Pattern Analysis and Machine intelligence"}],"container-title":["International Journal of Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11263-018-1074-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11263-018-1074-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11263-018-1074-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,16]],"date-time":"2022-08-16T15:55:22Z","timestamp":1660665322000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11263-018-1074-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3,21]]},"references-count":73,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2018,9]]}},"alternative-id":["1074"],"URL":"https:\/\/doi.org\/10.1007\/s11263-018-1074-6","relation":{},"ISSN":["0920-5691","1573-1405"],"issn-type":[{"value":"0920-5691","type":"print"},{"value":"1573-1405","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,3,21]]},"assertion":[{"value":"17 June 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 February 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 March 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}