Recent Publications

M. Ghafoorian*, Denis Korzhenkov*, Adil Karjauv*, Ioannis Lelekas*, Noor Fathima*, Spyridon Stasis, Hanno Ackermann, Boris van Breugel, Markus Nagel, Fatih Porikli, Animesh Karnewar, Amirhossein Habibian

@article{ghafoorian2026mobilewan,
			  title        = {MOBILEWAN: Closing the Quality Gap for Mobile Video Diffusion},
			  author       = {Mohsen Ghafoorian and Denis Korzhenkov and Adil Karjauv and Ioannis Lelekas and Noor Fathima and Spyridon Stasis and Hanno Ackermann and Boris van Breugel and Markus Nagel and Fatih Porikli and Animesh Karnewar and Amirhossein Habibian},
			  journal      = {arXiv preprint arXiv:2607.06173},
			  year         = {2026}
			}
		}

D. Korzhenkov*, A. Karjauv*, A. Karnewar, M. Ghafoorian, A. Habibian

@article{Korzhenkov2026PyramidalWan,
		  title={PyramidalWan: On Making Pretrained Video Model Pyramidal for Efficient Inference},
		  author={Denis Korzhenkov*, Adil Karjauv*, Animesh Karnewar, Mohsen Ghafoorian and Amirhossein Habibian},
		  journal={arXiv preprint arXiv:2601.04792},
		  year={2026},
		  url={https://arxiv.org/abs/2601.04792}
		}

M. Ghafoorian, A. Habibian

@article{Ghafoorian2026Rehyat,
		  title={ReHyAt: Recurrent Hybrid Attention for Video Diffusion Transformers},
		  author={Mohsen Ghafoorian and Amirhossein Habibian},
		  journal={arXiv preprint arXiv:2601.04342},
		  year={2026},
		  url={https://arxiv.org/abs/2601.04342}
		}

M. Ghafoorian, D. Korzhenkov, A. Habibian

@article{Ghafoorian2025AttentionSurgery,
		  title={Attention Surgery: An Efficient Recipe to Linearize Your Video Diffusion Transformer},
		  author={Mohsen Ghafoorian and Denis Korzhenkov and Amirhossein Habibian},
		  journal={arXiv preprint arXiv:2509.24899},
		  year={2025},
		  url={https://arxiv.org/abs/2509.24899}
		}

A. Bhowmik, D. Korzhenkov, C. Snoek, A. Habibian, M. Ghafoorian

@article{Bhowmik2025MoAlign,
		  title={MoAlign: Motion-Centric Representation Alignment for Video Diffusion Models},
		  author={Aritra Bhowmik and Denis Korzhenkov and Cees G. M. Snoek and Amirhossein Habibian and Mohsen Ghafoorian},
		  journal={arXiv preprint arXiv:2510.19022},
		  year={2025},
		  url={https://arxiv.org/abs/2510.19022}
		}

A. Karnewar, D. Korzhenkov, I. Lelekas, A. Karjauv, N. Fathima, H. Xiong, V. Vaidyanathan, W. Zeng, R. Esteves, T. Singhal, F. Porikli, M. Ghafoorian, A. Habibian

@article{Karnewar2025NeoDragon,
		  title={NeoDragon: Mobile Video Generation using Diffusion Transformer},
		  author={Animesh Karnewar and Denis Korzhenkov and Ioannis Lelekas and Adil Karjauv and Noor Fathima and Hanwen Xiong and Vancheeswaran Vaidyanathan and Will Zeng and Rafael Esteves and Tushar Singhal and Fatih Porikli and Mohsen Ghafoorian and Amirhossein Habibian},
		  journal={arXiv preprint arXiv:2511.06055},
		  year={2025},
		  url={https://arxiv.org/abs/2511.06055}
		}

A. Porfiri Dal Cin, G. Dikov, J. Ju, M. Ghafoorian

@inproceedings{DalCin2025AnyMap,
  author    = {Andrea Porfiri Dal Cin and Georgi Dikov and Jihong Ju and Mohsen Ghafoorian},
  title     = {AnyMap: Learning a General Camera Model for Structure-from-Motion with Unknown Distortion in Dynamic Scenes},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year      = {2025},
  doi       = {10.1109/CVPR52734.2025.01554},
  url       = {https://openaccess.thecvf.com/content/CVPR2025/papers/Dal_Cin_AnyMap_Learning_a_General_Camera_Model_for_Structure-from-Motion_with_Unknown_CVPR_2025_paper.pdf}
}

F. Langer, J. Ju, G. Dikov, G. Reitmayr, M. Ghafoorian

@inproceedings{Langer2024FastCAD,
  author    = {Florian Langer and Jihong Ju and Georgi Dikov and Gerhard Reitmayr and Mohsen Ghafoorian},
  title     = {FastCAD: Real-Time CAD Retrieval and Alignment from Scans and Videos},
  booktitle = {European Conference on Computer Vision (ECCV)},
  series    = {Lecture Notes in Computer Science},
  volume    = {15073},
  pages     = {60--77},
  year      = {2024},
  publisher = {Springer},
  doi       = {10.1007/978-3-031-72633-0_4},
  url       = {https://arxiv.org/abs/2403.15161}
}

B. Ehteshami, G. Kumar, A. Royer, C. Louizos, T. Blankevoort, M. Ghafoorian

@inproceedings{Bejnordi2024InterroGate,
  author    = {Babak Ehteshami Bejnordi and Gaurav Kumar and Amelie Royer and Christos Louizos and Tijmen Blankevoort and Mohsen Ghafoorian},
  title     = {InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning},
  booktitle = {British Machine Vision Conference (BMVC)},
  address   = {Glasgow, UK},
  year      = {2024},
  publisher = {BMVA},
  url       = {https://papers.bmvc2024.org/0054.pdf}
}

X. Shi, G. Dikov, G. Reitmayr, T.‑K. Kim, M. Ghafoorian

@inproceedings{Shi2023Distillation,
  author    = {Xuepeng Shi and Georgi Dikov and Gerhard Reitmayr and Tae-Kyun Kim and Mohsen Ghafoorian},
  title     = {3D Distillation: Improving Self-Supervised Monocular Depth Estimation on Reflective Surfaces},
  booktitle = {IEEE/CVF International Conference on Computer Vision (ICCV)},
  pages     = {9099--9109},
  year      = {2023},
  doi       = {10.1109/ICCV51070.2023.00838},
  url       = {https://openaccess.thecvf.com/content/ICCV2023/papers/Shi_3D_Distillation_Improving_Self-Supervised_Monocular_Depth_Estimation_on_Reflective_Surfaces_ICCV_2023_paper.pdf}
}

J. Ju, C.‑W. Tseng, O. Bailo, G. Dikov, M. Ghafoorian

@inproceedings{Ju2023DGRecon,
  author    = {Jihong Ju and Ching-Wei Tseng and Oleksandr Bailo and Georgi Dikov and Mohsen Ghafoorian},
  title     = {DG-Recon: Depth-Guided Neural 3D Scene Reconstruction},
  booktitle = {IEEE/CVF International Conference on Computer Vision (ICCV)},
  pages     = {18138--18148},
  year      = {2023},
  doi       = {10.1109/ICCV51070.2023.01667},
  url       = {https://www.computer.org/csdl/proceedings-article/iccv/2023/071800s8138/1TJfP1P6grm}
}

O. Ülger, J. Wiederer, M. Ghafoorian, V. Belagiannis, P. Mettes

@inproceedings{Ulger2022MTD-GNN,
  author    = {Osman {\\"U}lger and Julian Wiederer and Mohsen Ghafoorian and Vasileios Belagiannis and Pascal Mettes},
  title     = {Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs},
  booktitle = {British Machine Vision Conference (BMVC)},
  year      = {2022},
  url       = {https://bmvc2022.mpi-inf.mpg.de/0968.pdf}
}

E. Stammes, T. Runia, M. Hofmann, M. Ghafoorian

@inproceedings{Stammes2021EADER,
  author    = {Erik Stammes and Tom F. H. Runia and Michael Hofmann and Mohsen Ghafoorian},
  title     = {Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised Semantic Segmentation},
  booktitle = {International Conference on Digital Image Processing (ICDIP)},
  year      = {2021},
  url       = {https://arxiv.org/abs/2011.04626}
}

M. Bakhtiariziabari, M. Ghafoorian

@inproceedings{Bakhtiariziabari2020GamblingUltrasound,
  author    = {Masoumeh Bakhtiariziabari and Mohsen Ghafoorian},
  title     = {Gambling Adversarial Nets for Hard Sample Mining and Structured Prediction: Application in Ultrasound Thyroid Nodule Segmentation},
  booktitle = {International Workshop on Machine Learning in Medical Imaging (MLMI), MICCAI},
  series    = {Lecture Notes in Computer Science},
  volume    = {12436},
  pages     = {513--522},
  year      = {2020},
  publisher = {Springer},
  doi       = {10.1007/978-3-030-59861-7_52},
  url       = {https://link.springer.com/chapter/10.1007/978-3-030-59861-7_52}
}

L. Samson, N. van Noord, O. Booij, M. Hofmann, E. Gavves, M. Ghafoorian

@inproceedings{Samson2019GamblingSeg,
  author    = {Laurens Samson and Nanne van Noord and Olaf Booij and Michael Hofmann and Efstratios Gavves and Mohsen Ghafoorian},
  title     = {I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)},
  year      = {2019},
  url       = {https://openaccess.thecvf.com/content_ICCVW_2019/papers/CVRSUAD/Samson_I_Bet_You_Are_Wrong_Gambling_Adversarial_Networks_for_Structured_ICCVW_2019_paper.pdf}
}

M. Ghafoorian, C. Nugteren, N. Baka, O. Booij, M. Hofmann

@inproceedings{Ghafoorian2018ELGAN,
  author    = {Mohsen Ghafoorian and Cedric Nugteren and Nora Baka and Olaf Booij and Michael Hofmann},
  title     = {EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection},
  booktitle = {European Conference on Computer Vision Workshops (ECCVW)},
  series    = {Lecture Notes in Computer Science},
  volume    = {11129},
  pages     = {256--272},
  year      = {2018},
  publisher = {Springer},
  doi       = {10.1007/978-3-030-11009-3_15},
  url       = {https://openaccess.thecvf.com/content_ECCVW_2018/papers/11129/Ghafoorian_EL-GAN_Embedding_Loss_Driven_Generative_Adversarial_Networks_for_Lane_Detection_ECCVW_2018_paper.pdf}
}