@article{noise,
  title={Learning to see by looking at noise},
  author={Baradad Jurjo, Manel and Wulff, Jonas and Wang, Tongzhou and Isola, Phillip and Torralba, Antonio},
  journal={NeurIPS},
  year={2021}
}

%%%%% Intro
@article{cornebise2022open,
  title={Open High-Resolution Satellite Imagery: The WorldStrat Dataset--With Application to Super-Resolution},
  author={Cornebise, Julien and Or{\v{s}}oli{\'c}, Ivan and Kalaitzis, Freddie},
  journal={arXiv preprint arXiv:2207.06418},
  year={2022}
}

@inproceedings{cornebise2018witnessing,
  title={Witnessing atrocities: quantifying villages destruction in Darfur with crowdsourcing and transfer learning},
  author={Cornebise, Julien and Worrall, Daniel and Farfour, Micah and Marin, Milena},
  booktitle={Proc. AI for Social Good NeurIPS2018 Workshop, NeurIPS’18},
  year={2018}
}

@article{bertram2017pathologist,
  title={The pathologist 2.0: an update on digital pathology in veterinary medicine},
  author={Bertram, Christof A and Klopfleisch, Robert},
  journal={Veterinary pathology},
  year={2017}
}

@article{aeffner2018digital,
  title={Digital microscopy, image analysis, and virtual slide repository},
  author={Aeffner, Famke and Adissu, Hibret A and Boyle, Michael C and Cardiff, Robert D and Hagendorn, Erik and Hoenerhoff, Mark J and Klopfleisch, Robert and Newbigging, Susan and Schaudien, Dirk and Turner, Oliver and others},
  journal={ILAR journal},
  year={2018}
}

@article{hamilton2014digital,
  title={Digital pathology and image analysis in tissue biomarker research},
  author={Hamilton, Peter W and Bankhead, Peter and Wang, Yinhai and Hutchinson, Ryan and Kieran, Declan and McArt, Darragh G and James, Jacqueline and Salto-Tellez, Manuel},
  journal={Methods},
  year={2014}
}

@article{li2021review,
  title={A review of the deep learning methods for medical images super resolution problems},
  author={Li, Y and Sixou, Bruno and Peyrin, F},
  journal={Irbm},
  year={2021}
}

@article{verpoorter2014global,
  title={A global inventory of lakes based on high-resolution satellite imagery},
  author={Verpoorter, Charles and Kutser, Tiit and Seekell, David A and Tranvik, Lars J},
  journal={Geophysical Research Letters},
  year={2014},
}

@INPROCEEDINGS{1220866,
  author={Caner, G. and Tekalp, A.M. and Heinzelman, W.},
  booktitle={International Conference on Multimedia and Expo}, 
  title={Super resolution recovery for multi-camera surveillance imaging}, 
  year={2003}
 }

@INPROCEEDINGS{7518116,
  author={Gohshi, Seiichi},
  booktitle={International Joint Conference on e-Business and Telecommunications (ICETE)}, 
  title={Real-time super resolution algorithm for security cameras}, 
  year={2015},
  }

  @inproceedings{yang2015remote,
  title={Remote sensing image super-resolution: Challenges and approaches},
  author={Yang, Daiqin and Li, Zimeng and Xia, Yatong and Chen, Zhenzhong},
  booktitle={IEEE DSP},
  year={2015},
}



%%%%% Active learning
@article{yang2015multi,
  title={Multi-class active learning by uncertainty sampling with diversity maximization},
  author={Yang, Yi and Ma, Zhigang and Nie, Feiping and Chang, Xiaojun and Hauptmann, Alexander G},
  journal={IJCV},
  year={2015}
}

@article{gorriz2017cost,
  title={Cost-effective active learning for melanoma segmentation},
  author={Gorriz, Marc and Carlier, Axel and Faure, Emmanuel and Giro-i-Nieto, Xavier},
  journal={arXiv preprint arXiv:1711.09168},
  year={2017}
}

@InProceedings{Beluch_2018_CVPR,
author = {Beluch, William H. and Genewein, Tim and Nürnberger, Andreas and Köhler, Jan M.},
title = {The Power of Ensembles for Active Learning in Image Classification},
booktitle = {CVPR},
year = {2018}
}

@article{wang2016cost,
  title={Cost-effective active learning for deep image classification},
  author={Wang, Keze and Zhang, Dongyu and Li, Ya and Zhang, Ruimao and Lin, Liang},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  year={2016},
}

@inproceedings{kapoor2007active,
  title={Active learning with gaussian processes for object categorization},
  author={Kapoor, Ashish and Grauman, Kristen and Urtasun, Raquel and Darrell, Trevor},
  booktitle={ICCV},
  year={2007},
}

@article{roy2001toward,
  title={Toward optimal active learning through monte carlo estimation of error reduction},
  author={Roy, Nicholas and McCallum, Andrew},
  journal={ICML, Williamstown},
  year={2001}
}

@article{ebrahimi2019uncertainty,
  title={Uncertainty-guided continual learning with bayesian neural networks},
  author={Ebrahimi, Sayna and Elhoseiny, Mohamed and Darrell, Trevor and Rohrbach, Marcus},
  journal={arXiv preprint arXiv:1906.02425},
  year={2019}
}

@inproceedings{brinker2003incorporating,
  title={Incorporating diversity in active learning with support vector machines},
  author={Brinker, Klaus},
  booktitle={ICML},
  year={2003}
}

@article{wang2015querying,
  title={Querying discriminative and representative samples for batch mode active learning},
  author={Wang, Zheng and Ye, Jieping},
  journal={ACM TKDD},
  year={2015},
}

@article{sener2017active,
  title={Active learning for convolutional neural networks: A core-set approach},
  author={Sener, Ozan and Savarese, Silvio},
  journal={arXiv preprint arXiv:1708.00489},
  year={2017}
}

@inproceedings{jain2016active,
  title={Active image segmentation propagation},
  author={Jain, Suyog Dutt and Grauman, Kristen},
  booktitle={CVPR},
  year={2016}
}

@inproceedings{li2013adaptive,
  title={Adaptive active learning for image classification},
  author={Li, Xin and Guo, Yuhong},
  booktitle={CVPR},
  year={2013}
}
%%%%%%% Super-resolution
@inproceedings{ledig2017photo,
  title={Photo-realistic single image super-resolution using a generative adversarial network},
  author={Ledig, Christian and Theis, Lucas and Husz{\'a}r, Ferenc and Caballero, Jose and Cunningham, Andrew and Acosta, Alejandro and Aitken, Andrew and Tejani, Alykhan and Totz, Johannes and Wang, Zehan and others},
  booktitle={CVPR},
  year={2017}
}

@inproceedings{wang2018esrgan,
  title={Esrgan: Enhanced super-resolution generative adversarial networks},
  author={Wang, Xintao and Yu, Ke and Wu, Shixiang and Gu, Jinjin and Liu, Yihao and Dong, Chao and Qiao, Yu and Change Loy, Chen},
  booktitle={ECCVw},
  year={2018}
}

@article{saharia2022image,
  title={Image super-resolution via iterative refinement},
  author={Saharia, Chitwan and Ho, Jonathan and Chan, William and Salimans, Tim and Fleet, David J and Norouzi, Mohammad},
  journal={IEEE TPAMI},
  year={2022}
}

@inproceedings{woo2018cbam,
  title={Cbam: Convolutional block attention module},
  author={Woo, Sanghyun and Park, Jongchan and Lee, Joon-Young and Kweon, In So},
  booktitle={ECCV},

  year={2018}
}

@InProceedings{Liang_2021_ICCV,
    author    = {Liang, Jingyun and Cao, Jiezhang and Sun, Guolei and Zhang, Kai and Van Gool, Luc and Timofte, Radu},
    title     = {SwinIR: Image Restoration Using Swin Transformer},
    booktitle = {ICCVw},
    year      = {2021},
}

@inproceedings{soh2020meta,
  title={Meta-transfer learning for zero-shot super-resolution},
  author={Soh, Jae Woong and Cho, Sunwoo and Cho, Nam Ik},
  booktitle={CVPR},
  year={2020}
}

@article{yoo2022rzsr,
  title={RZSR: Reference-based Zero-Shot Super-Resolution with Depth Guided Self-Exemplars},
  author={Yoo, Jun-Sang and Kim, Dong-Wook and Lu, Yucheng and Jung, Seung-Won},
  journal={IEEE Transactions on Multimedia},
  year={2022},
}

@inproceedings{shocher2018zero,
  title={“zero-shot” super-resolution using deep internal learning},
  author={Shocher, Assaf and Cohen, Nadav and Irani, Michal},
  booktitle={CVPR},
  year={2018}
}

@inproceedings{bose2022zero,
  title={Zero-Shot Remote Sensing Image Super-Resolution Based on Image Continuity and Self Tessellations},
  author={Bose, Rupak and Rangnekar, Vikrant and Banerjee, Biplab and Chaudhuri, Subhasis},
  booktitle={GCPR},
  year={2022},
}

@InProceedings{Lim_2017_CVPR_Workshops,
author = {Lim, Bee and Son, Sanghyun and Kim, Heewon and Nah, Seungjun and Mu Lee, Kyoung},
title = {Enhanced Deep Residual Networks for Single Image Super-Resolution},
booktitle = {CVPRw},
year = {2017}
}

%%%%%% SIM
@article{simoncelli20054,
  title={4.7 statistical modeling of photographic images},
  author={Simoncelli, Eero P},
  journal={Handbook of Video and Image Processing},
  year={2005},

}

@article{redies2008fractal,
  title={Fractal-like image statistics in visual art: similarity to natural scenes},
  author={Redies, Christoph and Hasenstein, Jens and Denzler, Joachim},
  journal={Spatial vision},
  year={2008},
}

@article{lee2001occlusion,
  title={Occlusion models for natural images: A statistical study of a scale-invariant dead leaves model},
  author={Lee, Ann B and Mumford, David and Huang, Jinggang},
  journal={IJCV},
  year={2001},
}

@article{field1987relations,
  title={Relations between the statistics of natural images and the response properties of cortical cells},
  author={Field, David J},
  journal={Josa a},
  year={1987}
}

@article{kretzmer1952statistics,
  title={Statistics of television signals},
  author={Kretzmer, Ernest R},
  journal={The bell system technical journal},
  year={1952},
}

@inproceedings{heeger1995pyramid,
  title={Pyramid-based texture analysis/synthesis},
  author={Heeger, David J and Bergen, James R},
  booktitle={Proceedings of the 22nd annual conference on Computer graphics and interactive techniques},
  year={1995}
}

@article{portilla2000parametric,
  title={A parametric texture model based on joint statistics of complex wavelet coefficients},
  author={Portilla, Javier and Simoncelli, Eero P},
  journal={IJCV},
  year={2000}
}

%%%%%%%%% Uncertainty
@article{upadhyay2021robustness,
  title={Robustness via Uncertainty-aware Cycle Consistency},
  author={Upadhyay, Uddeshya and Chen, Yanbei and Akata, Zeynep},
  journal={NeurIPS},
  year={2021}
}
@inproceedings{upadhyay2021uncertaintyICCV,
  title={Uncertainty-aware {GAN} with adaptive loss for robust mri image enhancement},
  author={Upadhyay, Uddeshya and Sudarshan, Viswanath P and Awate, Suyash P},
  booktitle={IEEE ICCV Workshop},
  year={2021}
}

@inproceedings{upadhyay2022bayescap,
  title={{BayesCap}: {Bayesian} Identity Cap for Calibrated Uncertainty in Frozen Neural Networks},
  author={Upadhyay, Uddeshya and Karthik, Shyamgopal and Chen, Yanbei and Mancini, Massimiliano and Akata, Zeynep},
  booktitle={European Conference on Computer Vision},
  pages={299--317},
  year={2022},
  organization={Springer}
}

@article{lakshminarayanan2016simple,
  title={Simple and scalable predictive uncertainty estimation using deep ensembles},
  author={Lakshminarayanan, Balaji and Pritzel, Alexander and Blundell, Charles},
  journal={arXiv preprint arXiv:1612.01474},
  year={2016}
}

@inproceedings{upadhyay2021uncertainty,
  title={Uncertainty-guided progressive GANs for medical image translation},
  author={Upadhyay, Uddeshya and Chen, Yanbei and Hepp, Tobias and Gatidis, Sergios and Akata, Zeynep},
  booktitle={MICCAI},
  year={2021},

}

@inproceedings{laves2020well,
  title={Well-calibrated regression uncertainty in medical imaging with deep learning},
  author={Laves, Max-Heinrich and Ihler, Sontje and Fast, Jacob F and Kahrs, L{\"u}der A and Ortmaier, Tobias},
  booktitle={Medical Imaging with Deep Learning},
  year={2020},

}

@article{nair2020exploring,
  title={Exploring uncertainty measures in deep networks for multiple sclerosis lesion detection and segmentation},
  author={Nair, Tanya and Precup, Doina and Arnold, Douglas L and Arbel, Tal},
  journal={Medical image analysis},
  year={2020},
}

@article{sudarshan2021towards,
  title={Towards lower-dose pet using physics-based uncertainty-aware multimodal learning with robustness to out-of-distribution data},
  author={Sudarshan, Viswanath P and Upadhyay, Uddeshya and Egan, Gary F and Chen, Zhaolin and Awate, Suyash P},
  journal={Medical Image Analysis},
  year={2021},
}

@inproceedings{NIPS2017_2650d608,
 author = {Kendall, Alex and Gal, Yarin},
 booktitle = {NeurIPS},
 title = {What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?},
 year = {2017}
}

@article{graves2011practical,
  title={Practical variational inference for neural networks},
  author={Graves, Alex},
  journal={NeurIPS},
  year={2011}
}

@inproceedings{blundell2015weight,
  title={Weight uncertainty in neural network},
  author={Blundell, Charles and Cornebise, Julien and Kavukcuoglu, Koray and Wierstra, Daan},
  booktitle={ICML},
  year={2015},
}

@article{daxberger2021laplace,
  title={Laplace redux-effortless bayesian deep learning},
  author={Daxberger, Erik and Kristiadi, Agustinus and Immer, Alexander and Eschenhagen, Runa and Bauer, Matthias and Hennig, Philipp},
  journal={NeurIPS},
  year={2021}
}

@inproceedings{bae2021estimating,
  title={Estimating and exploiting the aleatoric uncertainty in surface normal estimation},
  author={Bae, Gwangbin and Budvytis, Ignas and Cipolla, Roberto},
  booktitle={ICCV},
  year={2021}
}

@article{wang2019aleatoric,
  title={Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks},
  author={Wang, Guotai and Li, Wenqi and Aertsen, Michael and Deprest, Jan and Ourselin, S{\'e}bastien and Vercauteren, Tom},
  journal={Neurocomputing},
  year={2019}
}


%%%%%% Datasets and Metrics
@article{krishna2017visual,
  title={Visual genome: Connecting language and vision using crowdsourced dense image annotations},
  author={Krishna, Ranjay and Zhu, Yuke and Groth, Oliver and Johnson, Justin and Hata, Kenji and Kravitz, Joshua and Chen, Stephanie and Kalantidis, Yannis and Li, Li-Jia and Shamma, David A and others},
  journal={IJCV},
  year={2017},
}

@article{litjens20181399,
  title={1399 H\&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset},
  author={Litjens, Geert and Bandi, Peter and Ehteshami Bejnordi, Babak and Geessink, Oscar and Balkenhol, Maschenka and Bult, Peter and Halilovic, Altuna and Hermsen, Meyke and van de Loo, Rob and Vogels, Rob and others},
  journal={GigaScience},
  year={2018}
}

@article{zhou2018patternnet,
  title={PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval},
  author={Zhou, Weixun and Newsam, Shawn and Li, Congmin and Shao, Zhenfeng},
  journal={ISPRS journal of photogrammetry and remote sensing},
  year={2018}

}

@article{wang2004image,
  title={Image quality assessment: from error visibility to structural similarity},
  author={Wang, Zhou and Bovik, Alan C and Sheikh, Hamid R and Simoncelli, Eero P},
  journal={IEEE transactions on image processing},
  year={2004}
}

@inproceedings{kataoka2020pre,
  title={Pre-training without natural images},
  author={Kataoka, Hirokatsu and Okayasu, Kazushige and Matsumoto, Asato and Yamagata, Eisuke and Yamada, Ryosuke and Inoue, Nakamasa and Nakamura, Akio and Satoh, Yutaka},
  booktitle={Proceedings of the Asian Conference on Computer Vision},
  year={2020}
}

@inproceedings{zhang2019reducing,
  title={Reducing uncertainty in undersampled MRI reconstruction with active acquisition},
  author={Zhang, Zizhao and Romero, Adriana and Muckley, Matthew J and Vincent, Pascal and Yang, Lin and Drozdzal, Michal},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={2049--2058},
  year={2019}
}

@inproceedings{gal2016dropout,
  title={Dropout as a bayesian approximation: Representing model uncertainty in deep learning},
  author={Gal, Yarin and Ghahramani, Zoubin},
  booktitle={international conference on machine learning},
  pages={1050--1059},
  year={2016},
  organization={PMLR}
}

@article{lakshminarayanan2017simple,
  title={Simple and scalable predictive uncertainty estimation using deep ensembles},
  author={Lakshminarayanan, Balaji and Pritzel, Alexander and Blundell, Charles},
  journal={Advances in neural information processing systems},
  volume={30},
  year={2017}
}

@inproceedings{upadhyayiccv,
  title={Uncertainty-aware GAN with adaptive loss for robust MRI image enhancement},
  author={Upadhyay, Uddeshya and Sudarshan, Viswanath P and Awate, Suyash P},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={3255--3264},
  year={2021}
}

@inproceedings{upadhyay2019robust,
  title={Robust super-resolution GAN, with manifold-based and perception loss},
  author={Upadhyay, Uddeshya and Awate, Suyash P},
  booktitle={2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)},
  pages={1372--1376},
  year={2019},
  organization={IEEE}
}

@inproceedings{upadhyay2019mixed,
  title={A mixed-supervision multilevel gan framework for image quality enhancement},
  author={Upadhyay, Uddeshya and Awate, Suyash P},
  booktitle={Medical Image Computing and Computer Assisted Intervention--MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13--17, 2019, Proceedings, Part V},
  pages={556--564},
  year={2019},
  organization={Springer}
}

@INPROCEEDINGS{937655,
  author={Martin, D. and Fowlkes, C. and Tal, D. and Malik, J.},
  booktitle={ICCV}, 
  title={A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics}, 
  year={2001}}