About

I am a Machine Learning Researcher at RBC Borealis AI. I received my Ph.D. from Simon Fraser University (SFU), where I was advised by Prof. Yasutaka Furukawa. Prior to SFU, I completed my M.Sc. at Seoul National University (SNU) under the supervision of Prof. Cho Nam Ik, and my B.Sc. in Electrical and Computer Engineering at SNU.

My research interests include computer vision, geometric deep learning, anomaly detection, and time series forecasting.

News

  • Jun 2025 Scalable Temporal Domain Generalization via Prompting accepted to ICML 2025, Workshop of Test-Time Adaptation.
  • January 2025 RADAR: Robust Adaptive Decoding through Attention Regularization accepted to ICLR 2025.
  • Dec 2023 Joined RBC Borealis as Machine Learning Researcher.
  • September 2023 PuzzleFusion accepted to NeurIPS 2023

Selected Publications

Scalable Temporal Domain Generalization via Prompting
ICLM 2025,Workshop of Test-Time Adaptation
Sepidehsadat Hosseini, Mengyao Zhai, Hossein Hajimirsadeghi, , Frederick Tung
Links: Paper · Code
RADAR: Robust Adaptive Decoding through Attention Regularization
ICLR 2025
Yongchang Hao, Mengyao Zhai, Hossein Hajimirsadeghi, Sepidehsadat Hosseini, Frederick Tung
Links: Paper · Code
PuzzleFusion: Unleashing the Power of Diffusion Models for Spatial Puzzle Solving
NeurIPS 2023 · Spotlight
Sepidehsadat Hosseini, Mohammad Amin Shabani, Saghar Irandoust, Yasutaka Furukawa
Links: Project · Paper · Code
Floorplan Restoration by Structure Hallucinating Transformer Cascades
BMVC 2023
Sepidehsadat Hosseini, Yasutaka Furukawa
Links: Project · Paper
HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising
CVPR 2023
Mohammad Amin Shabani, Sepidehsadat Hosseini, Yasutaka Furukawa
Links: Project · Paper · Code
House-GAN++: Generative Adversarial Layout Refinement Network
CVPR 2021
Nelson Nauata, Sepidehsadat Hosseini, Kai-Hung Chang, Hang Chu, Chin-Yi Cheng, Yasutaka Furukawa
Links: Project · Paper
GF-CapsNet: Using Gabor Jet and Capsule Networks for Facial Age, Gender, and Expression Recognition
FG 2019
Sepidehsadat Hosseini, Nam Ik Cho
Links: Paper
Deep Multi-Dataset Multi-Domain Multi-Task Frameworks for Facial Expression Recognition, Age and Gender Estimation
Master’s Thesis Summary, 2019
Sepidehsadat Hosseini, Nam Ik Cho
Links: Paper
Multiple Face Tracking in the Wild Using Color Histogram Features
ISSPIT 2017
Hyuk Jin Kwon, Seok Hee Lee, Sepidehsadat Hosseini, Jaewon Moon, Hyung Il Koo, Nam Ik Cho
Links: Paper

Work Experience

RBC Borealis
Dec 2023 – Present
Machine Learning Researcher
Borealis AI
Summer 2023
Machine Learning Research Intern
LG Electronics, Intelligent Systems Research Center
Summer 2017
Research Intern
Samsung Techwin, Software Development Center
Summer 2015
Software Engineer Intern

Teaching Experience

CMPT 412 Computational Vision
Spring 2023
Teaching Assistant
CMPT 477 Intro to Formal Verification
Fall 2022
Teaching Assistant
CMPT 225 Data Structures and Programming
Summer 2022
Teaching Assistant
CMPT 125 Introduction to Computing Science and Programming II
Spring 2022, Fall 2021, Summer 2021, Fall 2020, Summer 2020
Teaching Assistant
CMPT 419 Machine Learning
Spring 2021
Teaching Assistant