-[Arjomand Bigdeli, Siavash, Matthias Zwicker, Paolo Favaro, and Meiguang Jin. "Deep mean-shift priors for image restoration." Advances in Neural Information Processing Systems 30 (2017).](https://arxiv.org/pdf/1709.03749)
-[Hannemose, Morten, Janus Nørtoft Jensen, Gudmundur Einarsson, Jakob Wilm, Anders Bjorholm Dahl, and Jeppe Revall Frisvad. "Video frame interpolation via cyclic fine-tuning and asymmetric reverse flow." In Image Analysis: 21st Scandinavian Conference, SCIA 2019, Norrköping, Sweden, June 11–13, 2019, Proceedings 21, pp. 311-323. Springer International Publishing, 2019.](https://people.compute.dtu.dk/jerf/papers/vfi_cft_arf.pdf)
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-[Portenier, Tiziano, Qiyang Hu, Attila Szabo, Siavash Arjomand, Paolo Favaro, and Matthias Zwicker. "FaceShop: Deep Sketch-based Image Editing." ACM transactions on graphics 37, no. 4 (2018): 1-13.](https://arxiv.org/pdf/1804.08972.pdf)
-[Portenier, Tiziano, Siavash Arjomand Bigdeli, and Orcun Goksel. "Gramgan: Deep 3d texture synthesis from 2d exemplars." Advances in Neural Information Processing Systems 33 (2020): 6994-7004.](https://arxiv.org/pdf/2006.16112.pdf)
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-[Bigdeli, Siavash A., Geng Lin, Tiziano Portenier, L. Andrea Dunbar, and Matthias Zwicker. "Learning generative models using denoising density estimators." arXiv preprint arXiv:2001.02728 (2020).](https://arxiv.org/pdf/2001.02728)
-[Narduzzi, Simon, Siavash A. Bigdeli, Shih-Chii Liu, and L. Andrea Dunbar. "Optimizing the consumption of spiking neural networks with activity regularization." In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 61-65. IEEE, 2022.](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9746375)
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-[Papadopoulos, Dim P., Jasper RR Uijlings, Frank Keller, and Vittorio Ferrari. "We don't need no bounding-boxes: Training object class detectors using only human verification." In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 854-863. 2016.](https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Papadopoulos_We_Dont_Need_CVPR_2016_paper.pdf)
-[Papadopoulos, Dim P., Ethan Weber, and Antonio Torralba. "Scaling up instance annotation via label propagation." In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 15364-15373. 2021.](http://scaling-anno.csail.mit.edu/)
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@@ -78,7 +78,7 @@ For further information see:
-[Papadopoulos, Dim P., Enrique Mora, Nadiia Chepurko, Kuan Wei Huang, Ferda Ofli, and Antonio Torralba. "Learning Program Representations for Food Images and Cooking Recipes." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 16559-16569. 2022.](http://cookingprograms.csail.mit.edu/)
-[Papadopoulos, Dim P., Youssef Tamaazousti, Ferda Ofli, Ingmar Weber, and Antonio Torralba. "How to make a pizza: Learning a compositional layer-based gan model." In proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 8002-8011. 2019.](http://pizzagan.csail.mit.edu/)
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@@ -87,7 +87,7 @@ Having an accurately calibrated camera setup (intrinsics and extrinsics) is esse
For further information see:
-[Hannemose, Morten, Jakob Wilm, and Jeppe Revall Frisvad. "Superaccurate camera calibration via inverse rendering." Modeling Aspects in Optical Metrology VII. Vol. 11057. SPIE, 2019.](https://doi.org/10.1117/12.2531769).
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