Perception Beyond the Visible Spectrum
Quad-DIP for X-Ray Cargo Image Decomposition-
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[bibtex]@InProceedings{Hu_2021_CVPR, author = {Hu, Zheng and Li, Qiang and Fu, Gang and Xing, Yuxiang and Zhang, Li}, title = {Quad-DIP for X-Ray Cargo Image Decomposition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {4350-4358} }
Instance Segmentation-Based Identification of Pelagic Species in Acoustic Backscatter Data-
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[bibtex]@InProceedings{Marques_2021_CVPR, author = {Marques, Tunai Porto and Cote, Melissa and Rezvanifar, Alireza and Albu, Alexandra Branzan and Ersahin, Kaan and Mudge, Todd and Gauthier, Stephane}, title = {Instance Segmentation-Based Identification of Pelagic Species in Acoustic Backscatter Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {4378-4387} }
Leveraging Multi Scale Backbone With Multilevel Supervision for Thermal Image Super Resolution-
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[bibtex]@InProceedings{Nathan_2021_CVPR, author = {Nathan, Sabari and Kansal, Priya}, title = {Leveraging Multi Scale Backbone With Multilevel Supervision for Thermal Image Super Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {4332-4338} }
Generalized Unsupervised Clustering of Hyperspectral Images of Geological Targets in the Near Infrared-
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[supp]
[bibtex]@InProceedings{Gao_2021_CVPR, author = {Gao, Angela F. and Rasmussen, Brandon and Kulits, Peter and Scheller, Eva L. and Greenberger, Rebecca and Ehlmann, Bethany L.}, title = {Generalized Unsupervised Clustering of Hyperspectral Images of Geological Targets in the Near Infrared}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {4294-4303} }
Self-Training Guided Adversarial Domain Adaptation for Thermal Imagery-
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[arXiv]
[bibtex]@InProceedings{Akkaya_2021_CVPR, author = {Akkaya, Ibrahim Batuhan and Altinel, Fazil and Halici, Ugur}, title = {Self-Training Guided Adversarial Domain Adaptation for Thermal Imagery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {4322-4331} }
Learning From the Web: Webly Supervised Meta-Learning for Masked Face Recognition-
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[bibtex]@InProceedings{Zheng_2021_CVPR, author = {Zheng, Wenbo and Yan, Lan and Wang, Fei-Yue and Gou, Chao}, title = {Learning From the Web: Webly Supervised Meta-Learning for Masked Face Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {4304-4313} }
Reconstruction of CASSI-Raman Images With Machine-Learning-
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[bibtex]@InProceedings{Brorsson_2021_CVPR, author = {Brorsson, Andreas and Nordberg, Markus and Gustafsson, David}, title = {Reconstruction of CASSI-Raman Images With Machine-Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {4388-4395} }
Thermal Image Super-Resolution Challenge - PBVS 2021-
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[supp]
[bibtex]@InProceedings{Rivadeneira_2021_CVPR, author = {Rivadeneira, Rafael E. and Sappa, Angel D. and Vintimilla, Boris X. and Nathan, Sabari and Kansal, Priya and Mehri, Armin and Ardakani, Parichehr Behjati and Dalal, Anurag and Akula, Aparna and Sharma, Darshika and Pandey, Shashwat and Kumar, Basant and Yao, Jiaxin and Wu, Rongyuan and Feng, Kai and Li, Ning and Zhao, Yongqiang and Patel, Heena and Chudasama, Vishal and Prajapati, Kalpesh and Sarvaiya, Anjali and Upla, Kishor P. and Raja, Kiran and Ramachandra, Raghavendra and Busch, Christoph and Almasri, Feras and Vandamme, Thomas and Debeir, Olivier and Gutierrez, Nolan B. and Nguyen, Quan H. and Beksi, William J.}, title = {Thermal Image Super-Resolution Challenge - PBVS 2021}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {4359-4367} }
Deep Fusion of Appearance and Frame Differencing for Motion Segmentation-
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[supp]
[bibtex]@InProceedings{Ellenfeld_2021_CVPR, author = {Ellenfeld, Marc and Moosbauer, Sebastian and Cardenes, Ruben and Klauck, Ulrich and Teutsch, Michael}, title = {Deep Fusion of Appearance and Frame Differencing for Motion Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {4339-4349} }
Semantic Labeling of Lidar Point Clouds for UAV Applications-
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[bibtex]@InProceedings{Axelsson_2021_CVPR, author = {Axelsson, Maria and Holmberg, Max and Serra, Sabina and Ovren, Hannes and Tulldahl, Michael}, title = {Semantic Labeling of Lidar Point Clouds for UAV Applications}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {4314-4321} }
Channel Split Convolutional Neural Network (ChaSNet) for Thermal Image Super-Resolution-
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[bibtex]@InProceedings{Prajapati_2021_CVPR, author = {Prajapati, Kalpesh and Chudasama, Vishal and Patel, Heena and Sarvaiya, Anjali and Upla, Kishor P. and Raja, Kiran and Ramachandra, Raghavendra and Busch, Christoph}, title = {Channel Split Convolutional Neural Network (ChaSNet) for Thermal Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {4368-4377} }