Emad Bahrami

According to our database, Emad Bahrami authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Towards Generalizing Temporal Action Segmentation to Unseen Views.

Emad Bahrami, Olga Zatsarynna, Gianpiero Francesca, Juergen Gall

Int. J. Comput. Vis., April, 2026

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

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

CoRR, April, 2026

2025

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

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

CoRR, November, 2025

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, Juergen Gall

CoRR, August, 2025

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

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

CoRR, January, 2025

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Hierarchical Vector Quantization for Unsupervised Action Segmentation.

Federico Spurio, Emad Bahrami, Gianpiero Francesca, Juergen Gall

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Gated Temporal Diffusion for Stochastic Long-Term Dense Anticipation.

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

Proceedings of the Computer Vision - ECCV 2024, 2024

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, N. Ahmad Aziz, Martin Reuter

CoRR, 2023

2022

<i>CerebNet</i>: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation.

Jennifer Faber, David Kügler, Emad Bahrami, Lea-Sophie Heinz, Dagmar Timmann, Thomas Michael Ernst, Katerina Deike-Hofmann, Thomas Klockgether, Bart van de Warrenburg, Judith van Gaalen, Kathrin Reetz, Sandro Romanzetti, Gulin Oz, James M. Joers, Jörn Diedrichsen

NeuroImage, 2022