- SUM: Saliency Unification through Mamba for Visual Attention Modeling
Alireza Hosseini*, Amirhossein Kazerouni*, Saeed Akhavan, Michael Brudno, Babak Taati
About
I am a Ph.D. candidate in Computer Science at the University of Toronto, working under the supervision of Michael Brudno and Babak Taati. I am also a graduate researcher at the Vector Institute.
My research explores the synergy between generative models and 3D reconstruction, focusing on 3D data generation, representation, and editting.
I hold a Bachelor of Science in Electrical Engineering from the Iran University of Science and Technology. I am always eager to discuss research ideas and collaborate on exciting projects. Feel free to reach out!
📄 [My CV]
Experience
- Graduate Research Assistant, University of Toronto, Toronto, Canada
- Graduate Research Assistant, Vector Institute, Toronto, Canada
- Remote Research Assistant, RWTH University, Aachen, Germany
- Co-founder, AIR Center, Tehran, Iran
- B.Sc. in Electrical Engineering, Iran University of Science and Technology, Iran
- Jan. 2024 - Present
- Jan. 2024 - Present
- Mar. 2022 - Jan. 2024
- Jul. 2020 - Jul. 2022
- Sep. 2017 - Feb. 2022
News
[Jan. 2025] 🎉 One paper, SUM, accepted as an oral presentation at WACV'25.
[Feb. 2024] 🎉 Paper FuseNet accepted at ISBI'24.
[Jan. 2024] 🎓 Started my Ph.D. in Computer Science at the University of Toronto.
[Oct. 2023] 🎉 Two papers, INCODE and D-LKA Net, accepted at WACV'24.
[Oct. 2023] 🎉 Our survey paper on Vision Transformers in Medical Imaging accepted in the Medical Image Analysis Journal.
[Aug. 2023] 🎉 One main paper, LaplacianFormer, and three workshop papers, DermoSegDiff, WaveFormer, and DAE-Former, accepted at MICCAI'23.
[Aug. 2023] 🎉 Two papers, S3-Net and INR Survey in Medical Imaging, accepted at ICCV'23 CVAMD Workshop.
[Aug. 2022] 🎉 Our survey paper on Diffusion Models in Medical Imaging accepted in the Medical Image Analysis Journal.
[Apr. 2023] 🎉 Two papers, MS-Former and MMCFormer, accepted for oral presentations at MIDL'23.
[Oct. 2022] 🎉 Paper HiFormer on medical image segmentation accepted at WACV’23.
[Oct. 2022] 🎉 Paper on a real-time vision-based environment perception system accepted at a NeurIPS'22 Workshop.
[Sep. 2021] 🎓 Successfully defended my bachelor's thesis on designing, simulating, and building a self-driving car.
Publications
- FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation
Amirhossein Kazerouni, Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof
- INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings
Amirhossein Kazerouni, Reza Azad, Alireza Hosseini, Dorit Merhof, Ulas Bagci
- Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation
Reza Azad, Leon Niggemeier, Michael Huttemann, Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof
- Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection
Reza Azad, Amirhossein Kazerouni, Babak Azad, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof
- Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in Transformers
Reza Azad, Amirhossein Kazerouni, Alaa Sulaiman, Afshin Bozorgpour, Ehsan Khodapanah Aghdam, Abin Jose, Dorit Merhof
- DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation
Afshin Bozorgpour*, Yousef Sadegheih*, Amirhossein Kazerouni*, Reza Azad, Dorit Merhof
- Self-supervised Semantic Segmentation: Consistency over Transformation
Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Yury Velichko, Ulas Bagci, Dorit Merhof
- Implicit neural representation in medical imaging: A comparative survey
Amirali Molaei, Amirhossein Aminimehr, Armin Tavakoli, Amirhossein Kazerouni, Bobby Azad, Reza Azad, Dorit Merhof
- Diffusion models in medical imaging: A comprehensive survey
Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, Reza Azad, Mohsen Fayyaz, Ilker Hacihaliloglu, Dorit Merhof
- Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review
Reza Azad, Amirhossein Kazerouni, Moein Heidari, Ehsan Khodapanah Aghdam, Amirali Molaei, Yiwei Jia, Abin Jose, Rijo Roy, Dorit Merhof
- DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
Reza Azad, René Arimond, Ehsan Khodapanah Aghdam, Amirhossein Kazerouni, Dorit Merhof
- MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation
Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Dorit Merhof
- MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation
Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Saeed Ebadollahi, Dorit Merhof
- HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation
Moein Heidari*, Amirhossein Kazerouni*, Milad Soltany*, Reza Azad, Ehsan Khodapanah Aghdam, Julien Cohen-Adad, Dorit Merhof
- An Intelligent Modular Real-Time Vision-Based System for Environment Perception
Amirhossein Kazerouni, Amirhossein Heydarian, Milad Soltany, Aida Mohammadshahi, Abbas Omidi, Saeed Ebadollahi
Contact
For inquiries or feedback on my research, don't hesitate to reach out. I’m always happy to hear from you and exchange ideas.
Email:
amirhossein@cs.toronto.edu