-[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)
-[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)
-[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)
(all images joined as “thumbnails” at the left of each section text and have the width of the images as 30% of the page width)
-[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, 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)
-[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)
(all images joined as “thumbnails” at the left of each section text and have the width of the images as 30% of the page width)
-[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)
-[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)
-[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)
(all images joined as “thumbnails” at the left of each section text and have the width of the images as 30% of the page width)
-[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., 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/)
-[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/)
(all images joined as “thumbnails” at the left of each section text and have the width of the images as 30% of the page width)
![Visual recognition with minimal supervision
![Visual recognition with minimal supervision
](images/computervision_minimal_supervision.png"Visual recognition with minimal supervision
](images/computervision_minimal_supervision.png"Visual recognition with minimal supervision
")
")
...
@@ -74,6 +78,7 @@ For further information see:
...
@@ -74,6 +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., 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/)
-[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/)
(all images joined as “thumbnails” at the left of each section text and have the width of the images as 30% of the page width)
@@ -82,10 +87,13 @@ Having an accurately calibrated camera setup (intrinsics and extrinsics) is esse
...
@@ -82,10 +87,13 @@ Having an accurately calibrated camera setup (intrinsics and extrinsics) is esse
For further information see:
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).
-[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).
(all images joined as “thumbnails” at the left of each section text and have the width of the images as 30% of the page width)
Our lab has extensive experience in structured light 3D scanning. Recent improvements in projector technology, increased processing power, and new method developments with central contributions from our research group, it is now possible to perform faster and highly accurate structured light scans. This offers new opportunities for studying dynamic scenes, quality control, human-computer interaction and more.
Our lab has extensive experience in structured light 3D scanning. Recent improvements in projector technology, increased processing power, and new method developments with central contributions from our research group, it is now possible to perform faster and highly accurate structured light scans. This offers new opportunities for studying dynamic scenes, quality control, human-computer interaction and more.
(all images joined as “thumbnails” at the left of each section text and have the width of the images as 30% of the page width)
