Mohammad Mahdi Derakhshani

According to our database, Mohammad Mahdi Derakhshani authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

Any-Shift Prompting for Generalization over Distributions.

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

CoRR, 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