Arman Afrasiyabi

Hi, I am a Ph.D. candidate at Mila and Université Laval supervised by Prof. Jean-François Lalonde and Prof. Christian Gagné. I am working on meta-learning, representation learning, and self-supervised learning in low supervision conditions. My current research is focused on contextual self-supervised learning for quick adaptations.

I was born and raised in Band, a beautiful village near Urmia City.

News and updates

Our paper “Mixture-based feature space learning for few-shot image classification” has been accepted to ICCV 2021.
I am honored and grateful to be a recipient of the Otis-Lalonde fund in computer vision for 2021.
Our paper “Associative alignment for few-shot image classification” got accepted as a spotlight (5% acceptance rate) at ECCV 2020.
Our abstract is acceptanced at Montreal AI Symposium (MAIS) 2020.
I got accepted and attending to CIFAR Deep Learning + Reinforcement Learning Summer School 2020.

Selected publications

ICCV

Mixture-based feature space learning for few-shot image classification

Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné

International Conference on Computer Vision, 2021

project webpage

ECCV Spotlight

Associative alignment for few-shot image classification

Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné

European Conference on Computer Vision, 2020

project webpage

ICASSP

Non-euclidean vector product for neural networks

Arman Afrasiyabi, Diaa Badawi, Baris Nasir, Ozan Yildiz, Fatos T. Yarman Vural, A Enis Çetin

International Conference on Acoustics, Speech and Signal Processing, 2018

paper

ICCI*CC

A sparse temporal mesh model for brain decoding

Arman Afrasiyabi, Itır Önal Ertuğrul, Fatos T. Yarman Vural

15th International Conference on Cognitive Informatics & Cognitive, 2016

paper

Presentations and PhD Exams

In 26, Feb, 2021, I present Transfomers to Prof. Jean-François Lalonde's research group. [my slides]
In Feb 2021, I gave a presentation on PMM and Associative Alignment at IID, Université Laval. [my slides]
At ECCV 2020, I presented our work “Associative Alignment for Few-shot Image Classification”. [video]
In July 2020, I gave a talk on ”Advances in few-shot learning” at Université Laval, IFT 6501. [my slides]
In March 2020, I gave a talk on my last reasearch project at IID, Université Laval. [my slides]
In Jan 2019, I successfully passed my PhD exams: [presentation] and [proposal].
In January 2018, I gave a presentation on ”Neural turing machines: RNN, NTM and DNC”. [my slides-NTM] [my slides-RNN]