Mohammad Mahdi Derakhshani

According to our database, Mohammad Mahdi Derakhshani authored at least 19 papers between 2018 and 2026.

Collaborative distances:

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

2026

GAP3D: Generative Alignment of VLM Latents to Patch-Level Embeddings for 3D Generation.

Polytimi Anna Gkotsi, Andrii Zadaianchuk, Mohammad Mahdi Derakhshani

CoRR, May, 2026

Private PoEtry: Private In-Context Learning via Product of Experts.

Rob Romijnders, Mohammad Mahdi Derakhshani, Jonathan Petit, Max Welling, Christos Louizos, Yuki M. Asano

CoRR, February, 2026

2025

Purrception: Variational Flow Matching for Vector-Quantized Image Generation.

Razvan-Andrei Matisan, Vincent Tao Hu, Grigory Bartosh, Björn Ommer, Cees G. M. Snoek, Max Welling, Jan-Willem van de Meent, Mohammad Mahdi Derakhshani, Floor Eijkelboom

CoRR, October, 2025

NeoBabel: A Multilingual Open Tower for Visual Generation.

Mohammad Mahdi Derakhshani, Dheeraj Varghese, Marzieh Fadaee, Cees G. M. Snoek

CoRR, July, 2025

Continual Hyperbolic Learning of Instances and Classes.

Melika Ayoughi, Mina Ghadimi Atigh, Mohammad Mahdi Derakhshani, Cees G. M. Snoek, Pascal Mettes, Paul Groth

CoRR, June, 2025

TULIP: Token-length Upgraded CLIP.

Ivona Najdenkoska, Mohammad Mahdi Derakhshani, Yuki M. Asano, Nanne van Noord, Marcel Worring, Cees G. M. Snoek

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

TWIST & SCOUT: Grounding Multimodal LLM-Experts by Forget-Free Tuning.

Aritra Bhowmik, Mohammad Mahdi Derakhshani, Dennis C. Koelma, Yuki M. Asano, Martin R. Oswald, Cees G. M. Snoek

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Learning to Ground VLMs without Forgetting.

Aritra Bhowmik, Mohammad Mahdi Derakhshani, Dennis C. Koelma, Martin R. Oswald, Yuki M. Asano, Cees G. M. Snoek

CoRR, 2024

Any-Shift Prompting for Generalization Over Distributions.

Zehao Xiao, Jiayi Shen, Mohammad Mahdi Derakhshani, Shengcai Liao, Cees G. M. Snoek

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Unlocking Spatial Comprehension in Text-to-Image Diffusion Models.

Mohammad Mahdi Derakhshani, Menglin Xia, Harkirat Behl, Cees G. M. Snoek, Victor Rühle

CoRR, 2023

Small Visual Language Models can also be Open-Ended Few-Shot Learners.

Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Cees G. M. Snoek, Marcel Worring, Yuki M. Asano

CoRR, 2023

Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models.

Tom van Sonsbeek, Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Cees G. M. Snoek, Marcel Worring

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Bayesian Prompt Learning for Image-Language Model Generalization.

Mohammad Mahdi Derakhshani, Enrique Sanchez, Adrian Bulat, Victor Guilherme Turrisi da Costa, Cees G. M. Snoek, Georgios Tzimiropoulos, Brais Martínez

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Variational prompt tuning improves generalization of vision-language models.

Mohammad Mahdi Derakhshani, Enrique Sanchez, Adrian Bulat, Victor Guilherme Turrisi da Costa, Cees G. M. Snoek, Georgios Tzimiropoulos, Brais Martínez

CoRR, 2022

LifeLonger: A Benchmark for Continual Disease Classification.

Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring, Cees G. M. Snoek

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Generative Kernel Continual learning.

Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees G. M. Snoek

CoRR, 2021

Kernel Continual Learning.

Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees Snoek

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors.

Mohammad Mahdi Derakhshani, Saeed Masoudnia, Amir Hossein Shaker, Omid Mersa, Mohammad Amin Sadeghi, Mohammad Rastegari, Babak Nadjar Araabi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

BlockCNN: A Deep Network for Artifact Removal and Image Compression.

Danial Maleki, Soheila Nadalian, Mohammad Mahdi Derakhshani, Mohammad Amin Sadeghi

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