PuzzleFusion: Unleashing the Power of Diffusion Models for Spatial Puzzle Solving
Sepidehsadat Hosseini, Mohammad Amin Shabani, Saghar Irandoust, and Yasutaka Furukawa
NeurIPS 2023 (Spotlight)
About Me
I am a Ph.D. student at Simon Fraser University (SFU) advised by Prof. Yasutaka Furukawa since May of 2020. Prior to SFU, I completed my M.Sc. at Seoul National University (SNU) under the supervision of Prof. Cho Nam Ik (2019).
Before this, I got my BS in Electrical and Compture engineering from SNU.
My research interests include computer vision, geometric deep learning, and graph theory.
Selected Publications
Floorplan Restoration by Structure Hallucinating Transformer Cascades
Sepidehsadat Hosseini and Yasutaka Furukawa
BMVC 2023
HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising
Mohammad Amin Shabani, Sepidehsadat Hosseini, and Yasutaka Furukawa
CVPR 2023
House-GAN++: Generative Adversarial Layout Refinement Network
Nelson Nauata, Sepidehsadat Hosseini, Kai-Hung Chang, Hang Chu, Chin-Yi Cheng, and Yasutaka Furukawa
CVPR 2021
GF-CapsNet: Using Gabor Jet and Capsule Networks for Facial Age, Gender, and Expression Recognition
Sepidehsadat Hosseini, and Cho Nam Ik
International Conference on Automatic Face Gesture Recognition 2019
Deep Multi-Dataset Multi-Domain Multi-Task Frame Works for Facial Expression Recognition, Age and Gender Estimation
Sepidehsadat Hosseini, and Cho Nam Ik
Master Thesis Summary, 2019
Multiple face tracking method in the wild using color histogram features
Hyuk Jin Kwon, Seok Hee Lee, Sepidehsadat Hosseini, Jaewon Moon, Hyung Il Koo, Nam Ik Cho
IEEE International Symposium on Signal Processing and Information Technology, 2017