Derakhshani, Mohammad Mahdi

9 publications

ICLR 2026 Purrception: Variational Flow Matching for Vector-Quantized Image Generation Răzvan-Andrei Matișan, Vincent Tao Hu, Grigory Bartosh, Björn Ommer, Cees G. M. Snoek, Max Welling, Jan-Willem van de Meent, Mohammad Mahdi Derakhshani, Floor Eijkelboom

ICLR 2025 TULIP: Token-Length Upgraded CLIP Ivona Najdenkoska, Mohammad Mahdi Derakhshani, Yuki M Asano, Nanne Van Noord, Marcel Worring, Cees G. M. Snoek

ICCV 2025 TWIST & SCOUT: Grounding Multimodal LLM-Experts by Forget-Free Tuning Aritra Bhowmik, Mohammad Mahdi Derakhshani, Dennis Koelma, Yuki M. Asano, Martin R. Oswald, Cees G. M. Snoek

CVPR 2024 Any-Shift Prompting for Generalization over Distributions Zehao Xiao, Jiayi Shen, Mohammad Mahdi Derakhshani, Shengcai Liao, Cees G. M. Snoek

ICCV 2023 Bayesian Prompt Learning for Image-Language Model Generalization Mohammad Mahdi Derakhshani, Enrique Sanchez, Adrian Bulat, Victor G. Turrisi da Costa, Cees G.M. Snoek, Georgios Tzimiropoulos, Brais Martinez

ICLRW 2023 Variational Prompt Tuning Improves Generalization of Vision-Language Foundation Models Mohammad Mahdi Derakhshani, Enrique Sanchez, Adrian Bulat, Victor Guilherme Turrisi da Costa, Cees G. M. Snoek, Georgios Tzimiropoulos, Brais Martinez

ICML 2021 Kernel Continual Learning Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees Snoek

CVPR 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 N. Araabi

CVPRW 2018 BlockCNN: A Deep Network for Artifact Removal and Image Compression Danial Maleki, Soheila Nadalian, Mohammad Mahdi Derakhshani, Mohammad Amin Sadeghi