{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T14:11:56Z","timestamp":1779372716742,"version":"3.53.1"},"reference-count":48,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.eswa.2026.132684","type":"journal-article","created":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T07:09:12Z","timestamp":1777964952000},"page":"132684","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["DMGNet: Discriminative multi-view geometry learning with hybrid-domain enhancement for light field occlusion removal"],"prefix":"10.1016","volume":"327","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7224-8756","authenticated-orcid":false,"given":"Jieyu","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4995-728X","authenticated-orcid":false,"given":"Ping","family":"An","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2373-642X","authenticated-orcid":false,"given":"Xinpeng","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9276-5673","authenticated-orcid":false,"given":"Chao","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7607-707X","authenticated-orcid":false,"given":"Ce","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9895-5347","authenticated-orcid":false,"given":"Sanghoon","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.eswa.2026.132684_bib0001","doi-asserted-by":"crossref","first-page":"5296","DOI":"10.1109\/TMM.2025.3543048","article-title":"Mask-aware light field de-occlusion with gated feature aggregation and texture-semantic attention","volume":"27","author":"Chen","year":"2025","journal-title":"IEEE Transactions on Multimedia"},{"key":"10.1016\/j.eswa.2026.132684_bib0002","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.125560","article-title":"Pixel-wise matching cost function for robust light field depth estimation","volume":"262","author":"Chen","year":"2025","journal-title":"Expert Systems with Applications"},{"issue":"2","key":"10.1016\/j.eswa.2026.132684_bib0003","doi-asserted-by":"crossref","first-page":"1070","DOI":"10.1109\/TCSVT.2023.3290600","article-title":"Light field salient object detection with sparse views via complementary and discriminative interaction network","volume":"34","author":"Chen","year":"2023","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"10.1016\/j.eswa.2026.132684_bib0004","series-title":"Proceedings - international conference on machine learning","first-page":"933","article-title":"Language modeling with gated convolutional networks","author":"Dauphin","year":"2017"},{"key":"10.1016\/j.eswa.2026.132684_bib0005","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"27883","article-title":"Multiple object tracking as id prediction","author":"Gao","year":"2025"},{"key":"10.1016\/j.eswa.2026.132684_bib0006","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern Recognition","first-page":"28380","article-title":"Regressor-segmenter mutual prompt learning for crowd counting","author":"Guo","year":"2024"},{"issue":"12","key":"10.1016\/j.eswa.2026.132684_bib0007","doi-asserted-by":"crossref","first-page":"4531","DOI":"10.1109\/TVCG.2021.3093585","article-title":"Interpretable anomaly detection in event sequences via sequence matching and visual comparison","volume":"28","author":"Guo","year":"2021","journal-title":"IEEE Transactions on Visualization and Computer Graphics"},{"key":"10.1016\/j.eswa.2026.132684_bib0008","doi-asserted-by":"crossref","first-page":"729","DOI":"10.1109\/TIP.2024.3459589","article-title":"Recalling unknowns without losing precision: An effective solution to large model-guided open world object detection","volume":"34","author":"He","year":"2024","journal-title":"IEEE Transactions on Image Processing"},{"key":"10.1016\/j.eswa.2026.132684_bib0009","series-title":"Proceedings of the IEEE\/CVF winter conference on applications of computer vision","first-page":"229","article-title":"I see-through you: A framework for removing foreground occlusion in both sparse and dense light field images","author":"Hur","year":"2023"},{"key":"10.1016\/j.eswa.2026.132684_bib0010","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"9492","article-title":"Repurposing diffusion-based image generators for monocular depth estimation","author":"Ke","year":"2024"},{"key":"10.1016\/j.eswa.2026.132684_bib0011","series-title":"Proceedings of the international workshop on advanced imaging technology","first-page":"56","article-title":"Depth estimation from 4d light field videos","volume":"Vol. 11766","author":"Kinoshita","year":"2021"},{"key":"10.1016\/j.eswa.2026.132684_bib0012","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"7760","article-title":"Recurrent feature reasoning for image inpainting","author":"Li","year":"2020"},{"key":"10.1016\/j.eswa.2026.132684_bib0013","series-title":"Proceedings of the annual meeting of the association for computational linguistics","first-page":"465","article-title":"Dice loss for data-imbalanced NLP tasks","author":"Li","year":"2020"},{"key":"10.1016\/j.eswa.2026.132684_bib0014","series-title":"Proceedings of the IEEE international conference on acoustics, speech and signal processing","first-page":"2480","article-title":"Mask4d: 4D convolution network for light field occlusion removal","author":"Li","year":"2021"},{"key":"10.1016\/j.eswa.2026.132684_bib0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.125586","article-title":"Light field images super-resolution method based on hybrid low-dimensional spatial\u2013angular interaction feature and linear complementation epipolar feature","volume":"262","author":"Li","year":"2025","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.132684_bib0016","series-title":"Proceedings of the AAAI conference on artificial intelligence","first-page":"5075","article-title":"Patch-level sounding object tracking for audio-visual question answering","volume":"Vol. 39","author":"Li","year":"2025"},{"issue":"10","key":"10.1016\/j.eswa.2026.132684_bib0017","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3676967","article-title":"Rethinking feature mining for light field salient object detection","volume":"20","author":"Liao","year":"2024","journal-title":"ACM Transactions on Multimedia Computing, Communications, and Applications"},{"issue":"10","key":"10.1016\/j.eswa.2026.132684_bib0018","doi-asserted-by":"crossref","first-page":"6652","DOI":"10.1109\/TPAMI.2024.3384406","article-title":"Transformer based pluralistic image completion with reduced information loss","volume":"46","author":"Liu","year":"2024","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.eswa.2026.132684_bib0019","series-title":"Proceedings of the AAAI conference on artificial intelligence","first-page":"1746","article-title":"Coordfill: Efficient high-resolution image inpainting via parameterized coordinate querying","volume":"Vol. 37","author":"Liu","year":"2023"},{"key":"10.1016\/j.eswa.2026.132684_bib0020","series-title":"Proceedings of the IEEE international conference on computer vision","first-page":"10012","article-title":"Swin transformer: Hierarchical vision transformer using shifted windows","author":"Liu","year":"2021"},{"issue":"8","key":"10.1016\/j.eswa.2026.132684_bib0021","doi-asserted-by":"crossref","first-page":"7712","DOI":"10.1109\/TCSVT.2024.3377108","article-title":"Low-light salient object detection by learning to highlight the foreground objects","volume":"34","author":"Lu","year":"2024","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"10.1016\/j.eswa.2026.132684_bib0022","doi-asserted-by":"crossref","first-page":"2593","DOI":"10.1109\/TMM.2025.3535330","article-title":"Misf-net: Modality-invariant and-specific fusion network for rgb-t crowd counting","volume":"27","author":"Mu","year":"2025","journal-title":"IEEE Transactions on Multimedia"},{"issue":"2","key":"10.1016\/j.eswa.2026.132684_bib0023","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1109\/TCSVT.2016.2615328","article-title":"All-in-focus synthetic aperture imaging using image matting","volume":"28","author":"Pei","year":"2016","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"issue":"1","key":"10.1016\/j.eswa.2026.132684_bib0024","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/j.patcog.2012.06.014","article-title":"Synthetic aperture imaging using pixel labeling via energy minimization","volume":"46","author":"Pei","year":"2013","journal-title":"Pattern Recognition"},{"key":"10.1016\/j.eswa.2026.132684_bib0025","unstructured":"Piao, Y., Rong, Z., Xu, S., Zhang, M., & Lu, H. (2020). DUT-LFSaliency: Versatile dataset and light field-to-rgb saliency detection. arXiv: 2012.15124."},{"issue":"4","key":"10.1016\/j.eswa.2026.132684_bib0026","doi-asserted-by":"crossref","first-page":"5393","DOI":"10.30534\/ijatcse\/2020\/175942020","article-title":"Binary cross entropy with deep learning technique for image classification","volume":"9","author":"Ruby","year":"2020","journal-title":"International Journal of Advanced Trends in Computer Science and Engineering"},{"key":"10.1016\/j.eswa.2026.132684_bib0027","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","article-title":"Imagenet large scale visual recognition challenge","volume":"115","author":"Russakovsky","year":"2015","journal-title":"International Journal of Computer Vision"},{"key":"10.1016\/j.eswa.2026.132684_bib0028","series-title":"Proceedings of the IEEE conference on computer vision and pattern Recognition","first-page":"1874","article-title":"Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network","author":"Shi","year":"2016"},{"key":"10.1016\/j.eswa.2026.132684_bib0029","series-title":"Proceedings of the international conference on learning representations","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2015"},{"key":"10.1016\/j.eswa.2026.132684_bib0030","series-title":"Proceedings of IEEE computer society conference on computer vision and pattern recognition -workshops","first-page":"129","article-title":"Synthetic aperture focusing using a shear-warp factorization of the viewing transform","author":"Vaish","year":"2005"},{"key":"10.1016\/j.eswa.2026.132684_bib0031","series-title":"Proceedings of IEEE computer society conference on computer vision and pattern recognition","first-page":"2331","article-title":"Reconstructing occluded surfaces using synthetic apertures: Stereo, focus and robust measures","volume":"Vol. 2","author":"Vaish","year":"2006"},{"key":"10.1016\/j.eswa.2026.132684_bib0032","series-title":"Proceedings of IEEE computer society conference on computer vision and pattern recognition","first-page":"I","article-title":"Using plane+ parallax for calibrating dense camera arrays","volume":"Vol. 1","author":"Vaish","year":"2004"},{"key":"10.1016\/j.eswa.2026.132684_bib0033","article-title":"A novel EPI-guided network with progressive fusion for light field reconstruction","volume":"296","author":"Wang","year":"2025","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.132684_bib0034","series-title":"Proceedings of IEEE\/CVF conference on computer vision and pattern recognition","first-page":"7464","article-title":"Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","author":"Wang","year":"2023"},{"issue":"4","key":"10.1016\/j.eswa.2026.132684_bib0035","first-page":"1","article-title":"Light field video capture using a learning-based hybrid imaging system","volume":"36","author":"Wang","year":"2017","journal-title":"ACM Transactions on Graphics"},{"issue":"6","key":"10.1016\/j.eswa.2026.132684_bib0036","doi-asserted-by":"crossref","first-page":"2590","DOI":"10.1109\/TCSVT.2022.3226227","article-title":"Effective light field de-occlusion network based on swin transformer","volume":"33","author":"Wang","year":"2022","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"10.1016\/j.eswa.2026.132684_bib0037","series-title":"Proceedings of IEEE\/CVF winter conference on applications of computer vision","first-page":"118","article-title":"Deoccnet: Learning to see through foreground occlusions in light fields","author":"Wang","year":"2020"},{"issue":"7","key":"10.1016\/j.eswa.2026.132684_bib0038","doi-asserted-by":"crossref","first-page":"6318","DOI":"10.1109\/TCSVT.2024.3359661","article-title":"Occlusion-aware unsupervised light field depth estimation based on muti-scale GANs","volume":"34","author":"Yan","year":"2024","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"10.1016\/j.eswa.2026.132684_bib0039","series-title":"Proceedings of European conference on computer vision","first-page":"1","article-title":"All-in-focus synthetic aperture imaging","author":"Yang","year":"2014"},{"key":"10.1016\/j.eswa.2026.132684_bib0040","series-title":"Proceedings of international conference on image processing","first-page":"1787","article-title":"Lightfield completion","volume":"Vol. 3","author":"Yatziv","year":"2004"},{"key":"10.1016\/j.eswa.2026.132684_bib0041","series-title":"Proceedings of IEEE\/CVF conference on computer vision and pattern recognition","first-page":"18527","article-title":"Harnessing large language models for training-free video anomaly detection","author":"Zanella","year":"2024"},{"issue":"2","key":"10.1016\/j.eswa.2026.132684_bib0042","doi-asserted-by":"crossref","first-page":"825","DOI":"10.1007\/s11263-024-02214-4","article-title":"Contextual object detection with multimodal large language models","volume":"133","author":"Zang","year":"2025","journal-title":"International Journal of Computer Vision"},{"key":"10.1016\/j.eswa.2026.132684_bib0043","series-title":"Proceedings of Pacific rim conference on multimedia","first-page":"158","article-title":"Synthetic aperture based on plenoptic camera for seeing through occlusions","author":"Zhang","year":"2018"},{"key":"10.1016\/j.eswa.2026.132684_bib0044","doi-asserted-by":"crossref","first-page":"4258","DOI":"10.1109\/TIP.2025.3581422","article-title":"DCPI-Depth: Explicitly infusing dense correspondence prior to unsupervised monocular depth estimation","volume":"34","author":"Zhang","year":"2025","journal-title":"IEEE Transactions on Image Processing"},{"issue":"10","key":"10.1016\/j.eswa.2026.132684_bib0045","doi-asserted-by":"crossref","first-page":"8012","DOI":"10.1109\/TVCG.2025.3561374","article-title":"Progressive multi-plane images construction for light field occlusion removal","volume":"31","author":"Zhang","year":"2025","journal-title":"IEEE Transactions on Visualization and Computer Graphics"},{"key":"10.1016\/j.eswa.2026.132684_bib0046","article-title":"Light field occlusion removal network via foreground location and background recovery","volume":"109","author":"Zhang","year":"2022","journal-title":"Signal Processing: Image Communication"},{"key":"10.1016\/j.eswa.2026.132684_bib0047","series-title":"Proceedings of international joint conference on artificial intelligence","first-page":"1302","article-title":"Removing foreground occlusions in light field using micro-lens dynamic filter","author":"Zhang","year":"2021"},{"key":"10.1016\/j.eswa.2026.132684_bib0048","series-title":"Proceedings of the AAAI conference on artificial intelligence","first-page":"3888","article-title":"Generative image inpainting with segmentation confusion adversarial training and contrastive learning","volume":"Vol. 37","author":"Zuo","year":"2023"}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417426015976?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417426015976?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T13:44:25Z","timestamp":1779371065000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0957417426015976"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":48,"alternative-id":["S0957417426015976"],"URL":"https:\/\/doi.org\/10.1016\/j.eswa.2026.132684","relation":{},"ISSN":["0957-4174"],"issn-type":[{"value":"0957-4174","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"DMGNet: Discriminative multi-view geometry learning with hybrid-domain enhancement for light field occlusion removal","name":"articletitle","label":"Article Title"},{"value":"Expert Systems with Applications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.eswa.2026.132684","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"132684"}}