Amin Shabani

Mohammad Amin Shabani

ML Researcher at RBC Borealis

Machine Learning Researcher with expertise in Generative Models, Time Series Forecasting, and Large Language Models.

amin shabani

Research Interests

Generative Models

Exploring advanced generative models, including diffusion models, for diverse data synthesis and content creation.

Time Series Forecasting

Developing robust and accurate models for predicting future data points in various time-dependent sequences.

Large Language Models

Researching the capabilities and applications of large language models for natural language understanding and generation.

News

Apr 2024 Joined RBC Borealis as a Machine Learning Researcher. (new)

March 2024 Paper "Visual Layout Composer: Image-Vector Dual Diffusion Model for Design Layout Generation" accepted at CVPR 2024. (new)

January 2024 Gave a talk about my research on diffusion models for layout generation at Samsung AI Center in Toronto.

September 2023 Paper "PuzzleFusion: Unleashing the Power of Diffusion Models for Spatial Puzzle Solving" accepted as Spotlight at NeurIPS 2023.

March 2023 Paper "HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising" accepted at CVPR 2023.

January 2023 Paper "Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting" accepted at ICLR 2023.

Photos

Work Experience

Machine Learning Researcher

Apr 2024 - Present

Contributing to research and development of machine learning models for real-world applications in finance.

Research Scientist/Engineer Intern

Jun 2023 - Nov 2023

Worked on a new method for automatically generating layout designs. Published at CVPR 2024.

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Machine Learning Research Intern

Jan 2022 - May 2022

Worked on Iterative Multi-scale Refining Transformers for Time Series Forecasting. Published at ICLR 2023.

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Research and Development Engineer

Feb 2017 - Aug 2017

Worked on finding online methods for object detection, considering the trade-off between speed and accuracy.

Publications

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Visual Layout Composer: Image-Vector Dual Diffusion Model for Design Layout Generation

CVPR 2024

Amin Shabani, Zhaowen Wang, Difan Liu, Nanxuan Zhao, Jimei Yang, Yasutaka Furukawa

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PuzzleFusion: Unleashing the Power of Diffusion Models for Spatial Puzzle Solving

NeurIPS 2023 (Spotlight)

Sepidehsadat Hosseini, Amin Shabani, Saghar Irandoust, and Yasutaka Furukawa

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HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising

CVPR 2023

Amin Shabani, Sepidehsadat Hosseini, and Yasutaka Furukawa

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Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting

ICLR 2023

Amin Shabani, Amir Abdi, Lili Meng, and Tristan Sylvain

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Vectorizing Building Blueprints

ACCV 2022

Weilian Song, Mahsa Maleki Abyaneh, Amin Shabani, and Yasutaka Furukawa

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Extreme Structure from Motion for Indoor Panoramas without Visual Overlaps

ICCV 2021

Amin Shabani, Weilian Song, Makoto Odamaki, Hirochika Fujiki, and Yasutaka Furukawa

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Local Visual Microphones: Improved Sound Extraction from Silent Video

BMVC 2017

MA Shabani, L Samadfam, MA Sadeghi

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Layer-wise Progressive Knowledge Distillation

2019

MA Shabani

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On decomposing complete tripartite graphs into 5-cycles

arXiv preprint

M Abdolmaleki, SG Ilchi, ES Mahmoodian, MA Shabani

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On Uniquely k-List Colorable Planar Graphs, Graphs on Surfaces, and Regular Graphs

Graphs and Combinatorics, 2018

M Abdolmaleki, J. P. Hutchinson, S. Gh. Ilchi, E. S. Mahmoodian, N Matsumoto, M. A. Shabani

Get In Touch

Contact Information

Location

Vancouver, Canada

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