Mehdi Noroozi

According to our database, Mehdi Noroozi authored at least 17 papers between 2016 and 2024.

Collaborative distances:

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

2024

You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation.

Mehdi Noroozi, Isma Hadji, Brais Martínez, Adrian Bulat, Georgios Tzimiropoulos

CoRR, 2024

2022

Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation.

Nadine Behrmann, S. Alireza Golestaneh, Zico Kolter, Jürgen Gall, Mehdi Noroozi

Proceedings of the Computer Vision - ECCV 2022, 2022

TaylorSwiftNet: Taylor Driven Temporal Modeling for Swift Future Frame Prediction.

Mohammad Saber Pourheydari, Emad Bahrami Rad, Mohsen Fayyaz, Gianpiero Francesca, Mehdi Noroozi, Jürgen Gall

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives.

David T. Hoffmann, Nadine Behrmann, Juergen Gall, Thomas Brox, Mehdi Noroozi

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Taylor Swift: Taylor Driven Temporal Modeling for Swift Future Frame Prediction.

Mohammad Saber Pourheydari, Mohsen Fayyaz, Emad Bahrami Rad, Mehdi Noroozi, Juergen Gall

CoRR, 2021

Unsupervised Video Representation Learning by Bidirectional Feature Prediction.

Nadine Behrmann, Juergen Gall, Mehdi Noroozi

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Long Short View Feature Decomposition via Contrastive Video Representation Learning.

Nadine Behrmann, Mohsen Fayyaz, Juergen Gall, Mehdi Noroozi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

3D CNNs With Adaptive Temporal Feature Resolutions.

Mohsen Fayyaz, Emad Bahrami Rad, Ali Diba, Mehdi Noroozi, Ehsan Adeli, Luc Van Gool, Jürgen Gall

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Self-labeled Conditional GANs.

Mehdi Noroozi

CoRR, 2020

2019

Beyond Supervised Representation Learning.

Mehdi Noroozi

PhD thesis, 2019

Slack me if you can!: using enterprise social networking tools in virtual agile teams.

Viktoria Stray, Nils Brede Moe, Mehdi Noroozi

Proceedings of the 14th International Conference on Global Software Engineering, 2019

2018

Boosting Self-Supervised Learning via Knowledge Transfer.

Mehdi Noroozi, Ananth Vinjimoor, Paolo Favaro, Hamed Pirsiavash

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Reflection Separation and Deblurring of Plenoptic Images.

Paramanand Chandramouli, Mehdi Noroozi, Paolo Favaro

CoRR, 2017

Representation Learning by Learning to Count.

Mehdi Noroozi, Hamed Pirsiavash, Paolo Favaro

Proceedings of the IEEE International Conference on Computer Vision, 2017

Motion Deblurring in the Wild.

Mehdi Noroozi, Paramanand Chandramouli, Paolo Favaro

Proceedings of the Pattern Recognition - 39th German Conference, 2017

2016

Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles.

Mehdi Noroozi, Paolo Favaro

Proceedings of the Computer Vision - ECCV 2016, 2016

ConvNet-Based Depth Estimation, Reflection Separation and Deblurring of Plenoptic Images.

Paramanand Chandramouli, Mehdi Noroozi, Paolo Favaro

Proceedings of the Computer Vision - ACCV 2016, 2016