publications | Emad Bahrami

2026

Post-training Video Language Models for Mistake Recognition

Federico Spurio, Olga Zatsarynna, L. Doorenbos, Emad Bahrami, Gianpiero Francesca, and Juergen Gall

BMVC 2026British Machine Vision Conference (BMVC)

Paper BibTeX

@inproceedings{spurio2026mistake,
  title = {Post-training Video Language Models for Mistake Recognition},
  author = {Spurio, Federico and Zatsarynna, Olga and Doorenbos, L. and Bahrami, Emad and Francesca, Gianpiero and Gall, Juergen},
  abbr = {BMVC},
  year = {2026},
  booktitle = {British Machine Vision Conference (BMVC)},
  pdf = {https://arxiv.org/abs/2608.28406},
  selected = {false},
  preview = {MistakeGRPO.jpg}
}

STRIVE: Structured Spatiotemporal Exploration for Reinforcement Learning in Video Question Answering

Emad Bahrami, Olga Zatsarynna, Parth Pathak, Sunando Sengupta, Juergen Gall, and Mohsen Fayyaz

arXiv 2026Under review

Work done during an internship at Microsoft Research.

Paper BibTeX

@article{bahrami2026strive,
  title = {STRIVE: Structured Spatiotemporal Exploration for Reinforcement Learning in Video Question Answering},
  author = {Bahrami, Emad and Zatsarynna, Olga and Pathak, Parth and Sengupta, Sunando and Gall, Juergen and Fayyaz, Mohsen},
  abbr = {arXiv},
  year = {2026},
  journal = {Under review},
  note = {Work done during an internship at Microsoft Research.},
  pdf = {https://arxiv.org/abs/2604.01824},
  selected = {true},
  preview = {STRIVE_Icon.png}
}

Looking into the Unknown: Exploring Action Discovery for Segmentation of Known and Unknown Actions

Federico Spurio, Emad Bahrami, Olga Zatsarynna, Yazan Abu Farha, Gianpiero Francesca, and Juergen Gall

CVIU 2026Computer Vision and Image Understanding (CVIU)

Paper BibTeX

@article{spurio2025looking,
  title = {Looking into the Unknown: Exploring Action Discovery for Segmentation of Known and Unknown Actions},
  author = {Spurio, Federico and Bahrami, Emad and Zatsarynna, Olga and Farha, Yazan Abu and Francesca, Gianpiero and Gall, Juergen},
  abbr = {CVIU},
  year = {2026},
  journal = {Computer Vision and Image Understanding (CVIU)},
  pdf = {https://arxiv.org/abs/2508.05529},
  selected = {false},
  preview = {TAS_Unknown.png}
}

Sequence-Adaptive Video Prediction in Continuous Streams using Diffusion Noise Optimization

Sina Mokhtarzadeh Azar, Emad Bahrami, Enrico Pallotta, Gianpiero Francesca, Radu Timofte, and Juergen Gall

CVIU 2026Computer Vision and Image Understanding (CVIU)

Paper BibTeX

@article{azar2025sequence,
  title = {Sequence-Adaptive Video Prediction in Continuous Streams using Diffusion Noise Optimization},
  author = {Azar, Sina Mokhtarzadeh and Bahrami, Emad and Pallotta, Enrico and Francesca, Gianpiero and Timofte, Radu and Gall, Juergen},
  abbr = {CVIU},
  year = {2026},
  journal = {Computer Vision and Image Understanding (CVIU)},
  pdf = {https://arxiv.org/abs/2511.18255},
  selected = {false},
  preview = {Savi_DNO.png}
}

2025

Towards Generalizing Temporal Action Segmentation to Unseen Views

Emad Bahrami*, Olga Zatsarynna*, Gianpiero Francesca, and Juergen Gall

IJCV 2025International Journal of Computer Vision (IJCV)* Equal contribution

Paper BibTeX

@article{bahrami2025unseen,
  title = {Towards Generalizing Temporal Action Segmentation to Unseen Views},
  author = {Bahrami*, Emad and Zatsarynna*, Olga and Francesca, Gianpiero and Gall, Juergen},
  abbr = {IJCV},
  year = {2025},
  journal = {International Journal of Computer Vision (IJCV)},
  pdf = {https://arxiv.org/abs/2504.02512},
  selected = {true},
  preview = {UnVAS.png}
}

MANTA: Diffusion Mamba for Efficient and Effective Stochastic Long-Term Dense Anticipation

Olga Zatsarynna, Emad Bahrami, Yazan Abu Farha, Gianpiero Francesca, and Juergen Gall

CVPR 2025IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Paper BibTeX

@inproceedings{zatsarynna2025manta,
  title = {MANTA: Diffusion Mamba for Efficient and Effective Stochastic Long-Term Dense Anticipation},
  author = {Zatsarynna, Olga and Bahrami, Emad and Farha, Yazan Abu and Francesca, Gianpiero and Gall, Juergen},
  year = {2025},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pdf = {https://arxiv.org/abs/2501.08837},
  abbr = {CVPR},
  selected = {true},
  preview = {Manta.png}
}

Hierarchical Vector Quantization for Unsupervised Action Segmentation

Federico Spurio, Emad Bahrami, Gianpiero Francesca, and Juergen Gall

AAAI 2025Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)

Paper BibTeX

@inproceedings{spurio2025hierarchical,
  title = {Hierarchical Vector Quantization for Unsupervised Action Segmentation},
  author = {Spurio, Federico and Bahrami, Emad and Francesca, Gianpiero and Gall, Juergen},
  year = {2025},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
  pdf = {https://ojs.aaai.org/index.php/AAAI/article/view/32751},
  abbr = {AAAI},
  selected = {false},
  preview = {HVQ.png}
}

2024

Gated Temporal Diffusion for Stochastic Long-Term Dense Anticipation

Olga Zatsarynna*, Emad Bahrami*, Yazan Abu Farha, Gianpiero Francesca, and Juergen Gall

ECCV 2024European Conference on Computer Vision (ECCV)* Equal contribution

Paper Code BibTeX

@inproceedings{Zatsarynna2024gtd,
  title = {Gated Temporal Diffusion for Stochastic Long-Term Dense Anticipation},
  author = {Zatsarynna*, Olga and Bahrami*, Emad and Farha, Yazan Abu and Francesca, Gianpiero and Gall, Juergen},
  year = {2024},
  booktitle = {European Conference on Computer Vision (ECCV)},
  pdf = {https://arxiv.org/pdf/2407.11954},
  code = {https://github.com/olga-zats/GTDA},
  abbr = {ECCV},
  selected = {true},
  preview = {GTD_Icon.png}
}

2023

FastSurfer-HypVINN: Automated sub-segmentation of the hypothalamus and adjacent structures on high-resolutional brain MRI

Santiago Estrada, David Kügler, Emad Bahrami, Peng Xu, Dilshad Mousa, Monique M. B. Breteler, and 2 more authors

Imaging Neurosci. 2023Imaging Neuroscience

Paper BibTeX

@article{Estrada2023fastsurferhypvinn,
  title = {FastSurfer-HypVINN: Automated sub-segmentation of the hypothalamus and adjacent structures on high-resolutional brain MRI},
  author = {Estrada, Santiago and Kügler, David and Bahrami, Emad and Xu, Peng and Mousa, Dilshad and Breteler, Monique M. B. and Aziz, N. Ahmad and Reuter, Martin},
  abbr = {Imaging Neurosci.},
  year = {2023},
  journal = {Imaging Neuroscience},
  html = {https://arxiv.org/abs/2308.12736},
  selected = {false},
  preview = {Hypo_Icon.png}
}

How Much Temporal Long-Term Context is Needed for Action Segmentation?

Emad Bahrami, Gianpiero Francesca, and Juergen Gall

ICCV 2023IEEE International Conference on Computer Vision (ICCV)

Paper Code BibTeX

@inproceedings{Bahrami2023ltc,
  title = {How Much Temporal Long-Term Context is Needed for Action Segmentation?},
  author = {Bahrami, Emad and Francesca, Gianpiero and Gall, Juergen},
  year = {2023},
  booktitle = {IEEE International Conference on Computer Vision (ICCV)},
  pdf = {https://arxiv.org/abs/2308.11358},
  code = {https://github.com/LTContext/LTContext},
  abbr = {ICCV},
  selected = {true},
  preview = {LTC_Icon.png}
}

2022

CerebNet: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation

Jennifer Faber*, David Kügler*, Emad Bahrami*, Lea-Sophie Heinz, Dagmar Timmann, Thomas M. Ernst, and 11 more authors

NeuroImage 2022* Equal contribution

Paper Code BibTeX

@article{Faber2022cerebnet,
  title = {CerebNet: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation},
  author = {Faber*, Jennifer and Kügler*, David and Bahrami*, Emad and Heinz, Lea-Sophie and Timmann, Dagmar and Ernst, Thomas M. and Deike-Hofmann, Katerina and Klockgether, Thomas and {van de Warrenburg}, Bart and {van Gaalen}, Judith and Reetz, Kathrin and Romanzetti, Sandro and Oz, Gulin and Joers, James M. and Diedrichsen, Jorn and {ESMMR Study Group} and Reuter, Martin},
  journal = {NeuroImage},
  abbr = {NeuroImage},
  year = {2022},
  doi = {10.1016/j.neuroimage.2022.119703},
  html = {https://www.sciencedirect.com/science/article/pii/S1053811922008242},
  code = {https://github.com/deep-mi/FastSurfer},
  selected = {false},
  preview = {CerebNet.png}
}

Robust Action Segmentation from Timestamp Supervision

Yaser Souri*, Yazan Abu Farha*, Emad Bahrami*, Gianpiero Francesca, and Juergen Gall

BMVC 2022British Machine Vision Conference (BMVC)* Equal contribution

Paper Code BibTeX

@inproceedings{Souri2022robustsegm,
  title = {{Robust Action Segmentation from Timestamp Supervision}},
  author = {Souri*, Yaser and Abu Farha*, Yazan and Bahrami*, Emad and Francesca, Gianpiero and Gall, Juergen},
  abbr = {BMVC},
  year = {2022},
  booktitle = {British Machine Vision Conference (BMVC)},
  pdf = {https://arxiv.org/pdf/2210.06501.pdf},
  code = {https://github.com/yassersouri/robust_seg},
  selected = {false},
  preview = {RobustSegm.png}
}

TaylorSwiftNet: Taylor Driven Temporal Modeling for Swift Future Frame Prediction

Saber Pourheydari*, Emad Bahrami*, Mohsen Fayyaz*, Gianpiero Francesca, Mehdi Noroozi, and Juergen Gall

BMVC 2022British Machine Vision Conference (BMVC)* Equal contribution

Paper Project Code BibTeX

@inproceedings{Pourheydari2022taylorswift,
  author = {Pourheydari*, Saber and Bahrami*, Emad and Fayyaz*, Mohsen and Francesca, Gianpiero and Noroozi, Mehdi and Gall, Juergen},
  title = {TaylorSwiftNet: Taylor Driven Temporal Modeling for Swift Future Frame Prediction},
  abbr = {BMVC},
  year = {2022},
  booktitle = {British Machine Vision Conference (BMVC)},
  html = {https://taylorswiftnet.github.io/},
  code = {https://github.com/TaylorSwiftNet/TaylorSwiftNet},
  pdf = {https://arxiv.org/pdf/2110.14392.pdf},
  selected = {true},
  preview = {TaylorSwiftNet.png}
}

2021

3D CNNs With Adaptive Temporal Feature Resolutions

Mohsen Fayyaz*, Emad Bahrami*, Ali Diba, Mehdi Noroozi, Ehsan Adeli, Luc Van Gool, and 1 more author

CVPR 2021IEEE Conference on Computer Vision and Pattern Recognition (CVPR)* Equal contribution

Paper Project Code BibTeX

@inproceedings{Fayyaz2021atfr,
  author = {Fayyaz*, Mohsen and Bahrami*, Emad and Diba, Ali and Noroozi, Mehdi and Adeli, Ehsan and Van Gool, Luc and Gall, Juergen},
  title = {3D CNNs With Adaptive Temporal Feature Resolutions},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
  html = {https://similarityguidedsampling.github.io/},
  pdf = {https://arxiv.org/pdf/2011.08652.pdf},
  code = {https://github.com/SimilarityGuidedSampling/Similarity-Guided-Sampling},
  selected = {true},
  preview = {ATFR.png},
  abbr = {CVPR}
}