{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T14:40:01Z","timestamp":1758724801360,"version":"3.44.0"},"reference-count":63,"publisher":"Springer Science and Business Media LLC","issue":"13","license":[{"start":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T00:00:00Z","timestamp":1751500800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T00:00:00Z","timestamp":1751500800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Natural Science Foundation of Jiangsu Province of China","award":["BK20181269","BK20181269"],"award-info":[{"award-number":["BK20181269","BK20181269"]}]},{"name":"Special Project on Basic Research of Frontier Leading Technology of Jiangsu Province of China","award":["BK20192004C","BK20192004C"],"award-info":[{"award-number":["BK20192004C","BK20192004C"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1007\/s00371-025-04068-4","type":"journal-article","created":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T02:07:34Z","timestamp":1751508454000},"page":"10767-10787","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Expression-driven monocular 3D face reconstruction based on cross-modal guidance"],"prefix":"10.1007","volume":"41","author":[{"given":"Xiaolong","family":"He","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feipeng","family":"Da","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,7,3]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Saito, S., Simon, T., Saragih, J., Joo, H.: Pifuhd: Multi-level pixel-aligned implicit function for high-resolution 3d human digitization. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 84\u201393 (2020)","key":"4068_CR1","DOI":"10.1109\/CVPR42600.2020.00016"},{"issue":"4","key":"4068_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3450626.3459936","volume":"40","author":"Y Feng","year":"2021","unstructured":"Feng, Y., Feng, H., Black, M.J., Bolkart, T.: Learning an animatable detailed 3d face model from in-the-wild images. ACM Trans. Graph. (ToG) 40(4), 1\u201313 (2021)","journal-title":"ACM Trans. Graph. (ToG)"},{"doi-asserted-by":"crossref","unstructured":"Lei, B., Ren, J., Feng, M., Cui, M., Xie, X.: A hierarchical representation network for accurate and detailed face reconstruction from in-the-wild images. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 394\u2013403 (2023)","key":"4068_CR3","DOI":"10.1109\/CVPR52729.2023.00046"},{"doi-asserted-by":"crossref","unstructured":"Chai, Z., Zhang, T., He, T., Tan, X., Baltrusaitis, T., Wu, H., Li, R., Zhao, S., Yuan, C., Bian, J.: Hiface: High-fidelity 3d face reconstruction by learning static and dynamic details. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 9087\u20139098 (2023)","key":"4068_CR4","DOI":"10.1109\/ICCV51070.2023.00834"},{"doi-asserted-by":"crossref","unstructured":"Piao, J., Sun, K., Wang, Q., Lin, K.-Y., Li, H.: Inverting generative adversarial renderer for face reconstruction. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 15619\u201315628 (2021)","key":"4068_CR5","DOI":"10.1109\/CVPR46437.2021.01536"},{"doi-asserted-by":"crossref","unstructured":"Lee, G.-H., Lee, S.-W.: Uncertainty-aware mesh decoder for high fidelity 3d face reconstruction. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6100\u20136109 (2020)","key":"4068_CR6","DOI":"10.1109\/CVPR42600.2020.00614"},{"doi-asserted-by":"crossref","unstructured":"Dib, A., Bharaj, G., Ahn, J., Th\u00e9bault, C., Gosselin, P., Romeo, M., Chevallier, L.: Practical face reconstruction via differentiable ray tracing. In: Computer Graphics Forum, vol. 40, pp. 153\u2013164 (2021). Wiley Online Library","key":"4068_CR7","DOI":"10.1111\/cgf.142622"},{"doi-asserted-by":"crossref","unstructured":"Dib, A., Ahn, J., Thebault, C., Gosselin, P.-H., Chevallier, L.: S2f2: Self-supervised high fidelity face reconstruction from monocular image. In: 2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG), pp. 1\u20138 (2023). IEEE","key":"4068_CR8","DOI":"10.1109\/FG57933.2023.10042713"},{"doi-asserted-by":"crossref","unstructured":"Li, C., Morel-Forster, A., Vetter, T., Egger, B., Kortylewski, A.: robust model-based face reconstruction through weakly-supervised outlier segmentation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 372\u2013381 (2023)","key":"4068_CR9","DOI":"10.1109\/CVPR52729.2023.00044"},{"doi-asserted-by":"crossref","unstructured":"Feng, Y., Wu, F., Shao, X., Wang, Y., Zhou, X.: Joint 3d face reconstruction and dense alignment with position map regression network. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 534\u2013551 (2018)","key":"4068_CR10","DOI":"10.1007\/978-3-030-01264-9_33"},{"key":"4068_CR11","doi-asserted-by":"publisher","first-page":"8696","DOI":"10.1109\/TIP.2020.3017347","volume":"29","author":"Y Chen","year":"2020","unstructured":"Chen, Y., Wu, F., Wang, Z., Song, Y., Ling, Y., Bao, L.: Self-supervised learning of detailed 3d face reconstruction. IEEE Trans. Image Process. 29, 8696\u20138705 (2020)","journal-title":"IEEE Trans. Image Process."},{"doi-asserted-by":"crossref","unstructured":"Hong, Y., Peng, B., Xiao, H., Liu, L., Zhang, J.: Headnerf: A real-time nerf-based parametric head model. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 20374\u201320384 (2022)","key":"4068_CR12","DOI":"10.1109\/CVPR52688.2022.01973"},{"doi-asserted-by":"crossref","unstructured":"Chan, E.R., Monteiro, M., Kellnhofer, P., Wu, J., Wetzstein, G.: pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5799\u20135809 (2021)","key":"4068_CR13","DOI":"10.1109\/CVPR46437.2021.00574"},{"doi-asserted-by":"crossref","unstructured":"Blanz, V., Vetter, T.: A morphable model for the synthesis of 3d faces. In: Seminal Graphics Papers: Pushing the Boundaries, Volume 2, pp. 157\u2013164 (2023)","key":"4068_CR14","DOI":"10.1145\/3596711.3596730"},{"doi-asserted-by":"crossref","unstructured":"Paysan, P., Knothe, R., Amberg, B., Romdhani, S., Vetter, T.: A 3d face model for pose and illumination invariant face recognition. In: 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, pp. 296\u2013301 (2009). Ieee","key":"4068_CR15","DOI":"10.1109\/AVSS.2009.58"},{"issue":"6","key":"4068_CR16","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1145\/3130800.3130813","volume":"36","author":"T Li","year":"2017","unstructured":"Li, T., Bolkart, T., Black, M.J., Li, H., Romero, J.: Learning a model of facial shape and expression from 4d scans. ACM Trans. Graph. 36(6), 194\u20131 (2017)","journal-title":"ACM Trans. Graph."},{"doi-asserted-by":"crossref","unstructured":"Zhu, X., Lei, Z., Liu, X., Shi, H., Li, S.Z.: Face alignment across large poses: A 3d solution. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 146\u2013155 (2016)","key":"4068_CR17","DOI":"10.1109\/CVPR.2016.23"},{"doi-asserted-by":"crossref","unstructured":"Deng, Y., Yang, J., Xu, S., Chen, D., Jia, Y., Tong, X.: Accurate 3d face reconstruction with weakly-supervised learning: From single image to image set. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 0\u20130 (2019)","key":"4068_CR18","DOI":"10.1109\/CVPRW.2019.00038"},{"key":"4068_CR19","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1109\/TMM.2021.3120873","volume":"25","author":"X Lin","year":"2021","unstructured":"Lin, X., Sun, S., Huang, W., Sheng, B., Li, P., Feng, D.D.: Eapt: efficient attention pyramid transformer for image processing. IEEE Trans. Multimed. 25, 50\u201361 (2021)","journal-title":"IEEE Trans. Multimed."},{"key":"4068_CR20","doi-asserted-by":"publisher","first-page":"2998","DOI":"10.1109\/TMM.2021.3068567","volume":"23","author":"X Chai","year":"2021","unstructured":"Chai, X., Chen, J., Liang, C., Xu, D., Lin, C.-W.: Expression-aware face reconstruction via a dual-stream network. IEEE Trans. Multimed. 23, 2998\u20133012 (2021)","journal-title":"IEEE Trans. Multimed."},{"doi-asserted-by":"crossref","unstructured":"Dan\u011b\u010dek, R., Black, M.J., Bolkart, T.: Emoca: Emotion driven monocular face capture and animation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 20311\u201320322 (2022)","key":"4068_CR21","DOI":"10.1109\/CVPR52688.2022.01967"},{"doi-asserted-by":"crossref","unstructured":"Otberdout, N., Ferrari, C., Daoudi, M., Berretti, S., Del\u00a0Bimbo, A.: sparse to dense dynamic 3d facial expression generation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 20385\u201320394 (2022)","key":"4068_CR22","DOI":"10.1109\/CVPR52688.2022.01974"},{"doi-asserted-by":"crossref","unstructured":"Zhu, J., Chen, X., Hu, Q., Xiao, Y., Wang, B., Sheng, B., Chen, C.P.: Clustering environment aware learning for active domain adaptation. IEEE Transactions on Systems, Man, and Cybernetics: Systems (2024)","key":"4068_CR23","DOI":"10.1109\/TSMC.2024.3374068"},{"unstructured":"Radford, A., Kim, J.W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et\u00a0al.: Learning transferable visual models from natural language supervision. In: International Conference on Machine Learning, pp. 8748\u20138763 (2021). PMLR","key":"4068_CR24"},{"doi-asserted-by":"crossref","unstructured":"Wu, S., Rupprecht, C., Vedaldi, A.: Unsupervised learning of probably symmetric deformable 3d objects from images in the wild. In: CVPR (2020)","key":"4068_CR25","DOI":"10.1109\/CVPR42600.2020.00008"},{"doi-asserted-by":"crossref","unstructured":"Chen, A., Chen, Z., Zhang, G., Mitchell, K., Yu, J.: Photo-realistic facial details synthesis from single image. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 9429\u20139439 (2019)","key":"4068_CR26","DOI":"10.1109\/ICCV.2019.00952"},{"doi-asserted-by":"crossref","unstructured":"Zeng, X., Peng, X., Qiao, Y.: Df2net: A dense-fine-finer network for detailed 3d face reconstruction. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 2315\u20132324 (2019)","key":"4068_CR27","DOI":"10.1109\/ICCV.2019.00240"},{"doi-asserted-by":"crossref","unstructured":"Sela, M., Richardson, E., Kimmel, R.: Unrestricted facial geometry reconstruction using image-to-image translation. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1576\u20131585 (2017)","key":"4068_CR28","DOI":"10.1109\/ICCV.2017.175"},{"doi-asserted-by":"crossref","unstructured":"Chen, Z., Qiu, G., Li, P., Zhu, L., Yang, X., Sheng, B.: Mngnas: Distilling adaptive combination of multiple searched networks for one-shot neural architecture search. IEEE Transactions on Pattern Analysis and Machine Intelligence (2023)","key":"4068_CR29","DOI":"10.1109\/TPAMI.2023.3293885"},{"doi-asserted-by":"crossref","unstructured":"Jackson, A.S., Bulat, A., Argyriou, V., Tzimiropoulos, G.: Large pose 3d face reconstruction from a single image via direct volumetric cnn regression. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1031\u20131039 (2017)","key":"4068_CR30","DOI":"10.1109\/ICCV.2017.117"},{"issue":"11","key":"4068_CR31","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1145\/3422622","volume":"63","author":"I Goodfellow","year":"2020","unstructured":"Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial networks. Commun. ACM 63(11), 139\u2013144 (2020)","journal-title":"Commun. ACM"},{"doi-asserted-by":"crossref","unstructured":"Zhu, J.-Y., Park, T., Isola, P., Efros, A.A.: Unpaired image-to-image translation using cycle-consistent adversarial networks. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2223\u20132232 (2017)","key":"4068_CR32","DOI":"10.1109\/ICCV.2017.244"},{"issue":"1","key":"4068_CR33","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1145\/3503250","volume":"65","author":"B Mildenhall","year":"2021","unstructured":"Mildenhall, B., Srinivasan, P.P., Tancik, M., Barron, J.T., Ramamoorthi, R., Ng, R.: Nerf: representing scenes as neural radiance fields for view synthesis. Commun. ACM 65(1), 99\u2013106 (2021)","journal-title":"Commun. ACM"},{"doi-asserted-by":"crossref","unstructured":"Sun, J., Wang, X., Zhang, Y., Li, X., Zhang, Q., Liu, Y., Wang, J.: Fenerf: Face editing in neural radiance fields. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7672\u20137682 (2022)","key":"4068_CR34","DOI":"10.1109\/CVPR52688.2022.00752"},{"doi-asserted-by":"crossref","unstructured":"Jiang, N., Sheng, B., Li, P., Lee, T.-Y.: Photohelper: portrait photographing guidance via deep feature retrieval and fusion. IEEE Transactions on Multimedia (2022)","key":"4068_CR35","DOI":"10.1109\/TMM.2022.3144890"},{"issue":"2","key":"4068_CR36","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1007\/s11263-017-1009-7","volume":"126","author":"J Booth","year":"2018","unstructured":"Booth, J., Roussos, A., Ponniah, A., Dunaway, D., Zafeiriou, S.: Large scale 3d morphable models. Int. J. Comput. Vision 126(2), 233\u2013254 (2018)","journal-title":"Int. J. Comput. Vision"},{"issue":"3","key":"4068_CR37","first-page":"413","volume":"20","author":"C Cao","year":"2013","unstructured":"Cao, C., Weng, Y., Zhou, S., Tong, Y., Zhou, K.: Facewarehouse: a 3d facial expression database for visual computing. IEEE Trans. Visualizat. Comput. Graph. 20(3), 413\u2013425 (2013)","journal-title":"IEEE Trans. Visualizat. Comput. Graph."},{"doi-asserted-by":"crossref","unstructured":"Gerig, T., Morel-Forster, A., Blumer, C., Egger, B., Luthi, M., Sch\u00f6nborn, S., Vetter, T.: Morphable face models-an open framework. In: 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), pp. 75\u201382 (2018). IEEE","key":"4068_CR38","DOI":"10.1109\/FG.2018.00021"},{"doi-asserted-by":"crossref","unstructured":"Feng, Y., Wu, F., Shao, X., Wang, Y., Zhou, X.: Joint 3d face reconstruction and dense alignment with position map regression network. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 534\u2013551 (2018)","key":"4068_CR39","DOI":"10.1007\/978-3-030-01264-9_33"},{"doi-asserted-by":"crossref","unstructured":"Guo, J., Zhu, X., Yang, Y., Yang, F., Lei, Z., Li, S.Z.: Towards fast, accurate and stable 3d dense face alignment. In: European Conference on Computer Vision, pp. 152\u2013168 (2020). Springer","key":"4068_CR40","DOI":"10.1007\/978-3-030-58529-7_10"},{"issue":"15","key":"4068_CR41","first-page":"1454","volume":"111","author":"S Du","year":"2014","unstructured":"Du, S., Tao, Y., Martinez, A.M.: Compound facial expressions of emotion. Proceed. Nation. Acad. Sci 111(15), 1454\u20131462 (2014)","journal-title":"Proceed. Nation. Acad. Sci"},{"issue":"1","key":"4068_CR42","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1038\/s42256-020-00280-0","volume":"3","author":"A Toisoul","year":"2021","unstructured":"Toisoul, A., Kossaifi, J., Bulat, A., Tzimiropoulos, G., Pantic, M.: Estimation of continuous valence and arousal levels from faces in naturalistic conditions. Nat. Mach. Intell. 3(1), 42\u201350 (2021)","journal-title":"Nat. Mach. Intell."},{"doi-asserted-by":"crossref","unstructured":"Shao, Z., Liu, Z., Cai, J., Ma, L.: Deep adaptive attention for joint facial action unit detection and face alignment. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 705\u2013720 (2018)","key":"4068_CR43","DOI":"10.1007\/978-3-030-01261-8_43"},{"unstructured":"Valstar, M., Pantic, M., et\u00a0al.: Induced disgust, happiness and surprise: an addition to the mmi facial expression database. In: Proc. 3rd Intern. Workshop on EMOTION (satellite of LREC): Corpora for Research on Emotion and Affect, vol. 10, pp. 65\u201370 (2010). Paris, France","key":"4068_CR44"},{"doi-asserted-by":"crossref","unstructured":"Lucey, S., Ashraf, A.B., Cohn, J.F.: Investigating Spontaneous Facial Action Recognition Through Aam Representations of the Face vol. 2. Citeseer, ??? (2007)","key":"4068_CR45","DOI":"10.5772\/4841"},{"doi-asserted-by":"crossref","unstructured":"An, H.-Y., Jia, R.-S.: Self-supervised facial expression recognition with fine-grained feature selection. The Visual Computer, 1\u201313 (2024)","key":"4068_CR46","DOI":"10.1007\/s00371-024-03322-5"},{"doi-asserted-by":"crossref","unstructured":"Torre, F., Cohn, J.F.: Facial expression analysis. Visual analysis of humans: Looking at people, 377\u2013409 (2011)","key":"4068_CR47","DOI":"10.1007\/978-0-85729-997-0_19"},{"issue":"11","key":"4068_CR48","doi-asserted-by":"publisher","first-page":"5209","DOI":"10.1007\/s00371-022-02655-3","volume":"39","author":"Q Jiang","year":"2023","unstructured":"Jiang, Q., Zhang, Z., Da, F., Gai, S.: Two-stream inter-class variation enhancement network for facial expression recognition. The Visual Comput. 39(11), 5209\u20135227 (2023)","journal-title":"The Visual Comput."},{"issue":"2","key":"4068_CR49","doi-asserted-by":"publisher","first-page":"1472","DOI":"10.1109\/TAFFC.2021.3135152","volume":"14","author":"M Gerczuk","year":"2021","unstructured":"Gerczuk, M., Amiriparian, S., Ottl, S., Schuller, B.W.: Emonet: a transfer learning framework for multi-corpus speech emotion recognition. IEEE Trans. Affect. Comput. 14(2), 1472\u20131487 (2021)","journal-title":"IEEE Trans. Affect. Comput."},{"doi-asserted-by":"crossref","unstructured":"Zhang, Y., Li, X., Rong, L., Tiwari, P.: Multi-task learning for jointly detecting depression and emotion. In: 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 3142\u20133149 (2021). IEEE","key":"4068_CR50","DOI":"10.1109\/BIBM52615.2021.9669546"},{"doi-asserted-by":"crossref","unstructured":"Koujan, M.R., Alharbawee, L., Giannakakis, G., Pugeault, N., Roussos, A.: Real-time facial expression recognition \u201cin the wild\u201d by disentangling 3d expression from identity. In: 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), pp. 24\u201331 (2020). IEEE","key":"4068_CR51","DOI":"10.1109\/FG47880.2020.00084"},{"doi-asserted-by":"crossref","unstructured":"Canfes, Z., Atasoy, M.F., Dirik, A., Yanardag, P.: Text and image guided 3d avatar generation and manipulation. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 4421\u20134431 (2023)","key":"4068_CR52","DOI":"10.1109\/WACV56688.2023.00440"},{"doi-asserted-by":"crossref","unstructured":"Youwang, K., Ji-Yeon, K., Oh, T.-H.: Clip-actor: Text-driven recommendation and stylization for animating human meshes. In: European Conference on Computer Vision, pp. 173\u2013191 (2022). Springer","key":"4068_CR53","DOI":"10.1007\/978-3-031-20062-5_11"},{"issue":"2","key":"4068_CR54","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1016\/j.imavis.2012.06.016","volume":"31","author":"H Gunes","year":"2013","unstructured":"Gunes, H., Schuller, B.: Categorical and dimensional affect analysis in continuous input: current trends and future directions. Image Vision Comput. 31(2), 120\u2013136 (2013)","journal-title":"Image Vision Comput."},{"doi-asserted-by":"crossref","unstructured":"Yu, C., Wang, J., Peng, C., Gao, C., Yu, G., Sang, N.: Bisenet: Bilateral segmentation network for real-time semantic segmentation. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 325\u2013341 (2018)","key":"4068_CR55","DOI":"10.1007\/978-3-030-01261-8_20"},{"unstructured":"Tewari, A., Seidel, H.-P., Elgharib, M., Theobalt, C., et\u00a0al.: Learning complete 3d morphable face models from images and videos. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3361\u20133371 (2021)","key":"4068_CR56"},{"issue":"1","key":"4068_CR57","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1109\/TAFFC.2017.2740923","volume":"10","author":"A Mollahosseini","year":"2017","unstructured":"Mollahosseini, A., Hasani, B., Mahoor, M.H.: Affectnet: a database for facial expression, valence, and arousal computing in the wild. IEEE Trans. Affect. Comput. 10(1), 18\u201331 (2017)","journal-title":"IEEE Trans. Affect. Comput."},{"key":"4068_CR58","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.imavis.2017.02.001","volume":"65","author":"J Kossaifi","year":"2017","unstructured":"Kossaifi, J., Tzimiropoulos, G., Todorovic, S., Pantic, M.: Afew-va database for valence and arousal estimation in-the-wild. Image Vision Comput 65, 23\u201336 (2017)","journal-title":"Image Vision Comput"},{"doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","key":"4068_CR59","DOI":"10.1109\/CVPR.2016.90"},{"doi-asserted-by":"crossref","unstructured":"Bulat, A., Tzimiropoulos, G.: How far are we from solving the 2d & 3d face alignment problem?(and a dataset of 230,000 3d facial landmarks). In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1021\u20131030 (2017)","key":"4068_CR60","DOI":"10.1109\/ICCV.2017.116"},{"doi-asserted-by":"crossref","unstructured":"Sanyal, S., Bolkart, T., Feng, H., Black, M.: Learning to regress 3D face shape and expression from an image without 3D supervision. In: Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 7763\u20137772 (2019)","key":"4068_CR61","DOI":"10.1109\/CVPR.2019.00795"},{"doi-asserted-by":"crossref","unstructured":"Chang, F.-J., Tran, A.T., Hassner, T., Masi, I., Nevatia, R., Medioni, G.: Expnet: Landmark-free, deep, 3d facial expressions. In: 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), pp. 122\u2013129 (2018). IEEE","key":"4068_CR62","DOI":"10.1109\/FG.2018.00027"},{"doi-asserted-by":"crossref","unstructured":"Shang, J., Shen, T., Li, S., Zhou, L., Zhen, M., Fang, T., Quan, L.: Self-supervised monocular 3d face reconstruction by occlusion-aware multi-view geometry consistency. In: European Conference on Computer Vision, pp. 53\u201370 (2020). Springer","key":"4068_CR63","DOI":"10.1007\/978-3-030-58555-6_4"}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-025-04068-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-025-04068-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-025-04068-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T14:00:19Z","timestamp":1758722419000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-025-04068-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,3]]},"references-count":63,"journal-issue":{"issue":"13","published-print":{"date-parts":[[2025,10]]}},"alternative-id":["4068"],"URL":"https:\/\/doi.org\/10.1007\/s00371-025-04068-4","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"type":"print","value":"0178-2789"},{"type":"electronic","value":"1432-2315"}],"subject":[],"published":{"date-parts":[[2025,7,3]]},"assertion":[{"value":"17 June 2025","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 July 2025","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}