Recent Publications

moalign teaser

MoAlign: Motion-Centric Representation Alignment for Video Diffusion Models

A. Bhowmik, D. Korzhenkov, C. Snoek, A. Habibian, M. Ghafoorian
arXiv 2025
@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}
		}
neodragon teaser

NeoDragon: Mobile Video Generation using Diffusion Transformer

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
arXiv 2025
@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}
		}
anymap teaser

AnyMap: Learning a General Camera Model for Structure‑from‑Motion with Unknown Distortion in Dynamic Scenes

A. Porfiri Dal Cin, G. Dikov, J. Ju, M. Ghafoorian
CVPR 2025
@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}
}
fastcad teaser

FastCAD: Real‑Time CAD Retrieval and Alignment from Scans and Videos

F. Langer, J. Ju, G. Dikov, G. Reitmayr, M. Ghafoorian
ECCV 2024
@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}
}
interrogate teaser

InterroGate: Learning to Share, Specialize, and Prune Representations for Multi‑Task Learning

B. Ehteshami, G. Kumar, A. Royer, C. Louizos, T. Blankevoort, M. Ghafoorian
BMVC 2024
@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}
}
3ddistillation teaser

3D Distillation: Improving Self‑Supervised Monocular Depth Estimation on Reflective Surfaces

X. Shi, G. Dikov, G. Reitmayr, T.‑K. Kim, M. Ghafoorian
ICCV 2023
@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}
}
DGRecon teaser

DG‑Recon: Depth‑Guided Neural 3D Scene Reconstruction

J. Ju, C.‑W. Tseng, O. Bailo, G. Dikov, M. Ghafoorian
ICCV 2023
@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}
}
MTD-GNN teaser

Multi‑Task Edge Prediction in Temporally‑Dynamic Video Graphs

O. Ülger, J. Wiederer, M. Ghafoorian, V. Belagiannis, P. Mettes
BMVC 2022
@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}
}
EADER teaser

Find it if You Can: End‑to‑End Adversarial Erasing for Weakly‑Supervised Semantic Segmentation

E. Stammes, T. Runia, M. Hofmann, M. Ghafoorian
ICDIP 2021 Best Paper Award
@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}
}
TUS Gamb. Adv. Nets teaser

Gambling Adversarial Nets for Hard Sample Mining and Structured Prediction: Application in Ultrasound Thyroid Nodule Segmentation

M. Bakhtiariziabari, M. Ghafoorian
MICCAI 2020 MLMI
@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}
}
Gamb. Adv. Nets teaser

I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation

L. Samson, N. van Noord, O. Booij, M. Hofmann, E. Gavves, M. Ghafoorian
ICCV 2019 CVRSUAD
@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}
}
EL-GAN teaser

EL‑GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection

M. Ghafoorian, C. Nugteren, N. Baka, O. Booij, M. Hofmann
ECCV 2018 CVRSUAD
@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}
}