Learning for Computational Imaging
Thermal Image Processing via Physics-Inspired Deep Networks-
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[supp]
[arXiv]
[bibtex]@InProceedings{Saragadam_2021_ICCV, author = {Saragadam, Vishwanath and Dave, Akshat and Veeraraghavan, Ashok and Baraniuk, Richard G.}, title = {Thermal Image Processing via Physics-Inspired Deep Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4057-4065} }
Photon-Limited Object Detection Using Non-Local Feature Matching and Knowledge Distillation-
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[supp]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Chengxi and Qu, Xiangyu and Gnanasambandam, Abhiram and Elgendy, Omar A. and Ma, Jiaju and Chan, Stanley H.}, title = {Photon-Limited Object Detection Using Non-Local Feature Matching and Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {3976-3987} }
What Does Your Computational Imaging Algorithm Not Know?: A Plug-and-Play Model Quantifying Model Uncertainty-
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[bibtex]@InProceedings{Ekmekci_2021_ICCV, author = {Ekmekci, Canberk and Cetin, Mujdat}, title = {What Does Your Computational Imaging Algorithm Not Know?: A Plug-and-Play Model Quantifying Model Uncertainty}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4018-4027} }
K-Space Refinement in Deep Learning MR Reconstruction via Regularizing Scan Specific SPIRiT-Based Self Consistency-
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[bibtex]@InProceedings{Ryu_2021_ICCV, author = {Ryu, Kanghyun and Alkan, Cagan and Choi, Chanyeol and Jang, Ikbeom and Vasanawala, Shreyas}, title = {K-Space Refinement in Deep Learning MR Reconstruction via Regularizing Scan Specific SPIRiT-Based Self Consistency}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4008-4017} }
Compressed Classification From Learned Measurements-
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[bibtex]@InProceedings{Mdrafi_2021_ICCV, author = {Mdrafi, Robiulhossain and Gurbuz, Ali Cafer}, title = {Compressed Classification From Learned Measurements}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4038-4047} }
SS-JIRCS: Self-Supervised Joint Image Reconstruction and Coil Sensitivity Calibration in Parallel MRI Without Ground Truth-
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[bibtex]@InProceedings{Gan_2021_ICCV, author = {Gan, Weijie and Hu, Yuyang and Eldeniz, Cihat and Liu, Jiaming and Chen, Yasheng and An, Hongyu and Kamilov, Ulugbek S.}, title = {SS-JIRCS: Self-Supervised Joint Image Reconstruction and Coil Sensitivity Calibration in Parallel MRI Without Ground Truth}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4048-4056} }
Joint Reconstruction and Calibration Using Regularization by Denoising With Application to Computed Tomography-
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[bibtex]@InProceedings{Xie_2021_ICCV, author = {Xie, Mingyang and Liu, Jiaming and Sun, Yu and Gan, Weijie and Wohlberg, Brendt and Kamilov, Ulugbek S.}, title = {Joint Reconstruction and Calibration Using Regularization by Denoising With Application to Computed Tomography}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4028-4037} }
Fast Unsupervised MRI Reconstruction Without Fully-Sampled Ground Truth Data Using Generative Adversarial Networks-
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[bibtex]@InProceedings{Cole_2021_ICCV, author = {Cole, Elizabeth K. and Ong, Frank and Vasanawala, Shreyas S. and Pauly, John M.}, title = {Fast Unsupervised MRI Reconstruction Without Fully-Sampled Ground Truth Data Using Generative Adversarial Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {3988-3997} }
How To Cheat With Metrics in Single-Image HDR Reconstruction-
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[supp]
[arXiv]
[bibtex]@InProceedings{Eilertsen_2021_ICCV, author = {Eilertsen, Gabriel and Hajisharif, Saghi and Hanji, Param and Tsirikoglou, Apostolia and Mantiuk, Rafa{\l} K. and Unger, Jonas}, title = {How To Cheat With Metrics in Single-Image HDR Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {3998-4007} }
CryoPoseNet: End-to-End Simultaneous Learning of Single-Particle Orientation and 3D Map Reconstruction From Cryo-Electron Microscopy Data-
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[bibtex]@InProceedings{Nashed_2021_ICCV, author = {Nashed, Youssef S. G. and Poitevin, Fr\'ed\'eric and Gupta, Harshit and Woollard, Geoffrey and Kagan, Michael and Yoon, Chun Hong and Ratner, Daniel}, title = {CryoPoseNet: End-to-End Simultaneous Learning of Single-Particle Orientation and 3D Map Reconstruction From Cryo-Electron Microscopy Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4066-4076} }