I am a Research Scientist at Google Research.

I received my Ph.D. in Computer Science and Engineering from the University of Minnesota, Twin Cities, advised by Prof. Hyun Soo Park

My research focuses on obtaining human and garment geometry, and their 3D deformation across various shapes and poses from images and videos. My goal is to use in-the-wild images and videos, without the need for 3D geometry information, to train computational models by employing geometry-aware self-supervision signals.


[Email | Google Scholar | LinkedIn | GitHub | CV]

Publications

Learning Geometric Representation of Dressed Humans

Yasamin Jafarian

PhD Thesis, Computer Science and Engineering, University of Minnesota 2023

[Pdf]

Normal-guided Garment UV Prediction for Human Re-texturing

Yasamin Jafarian, Tuanfeng Yang Wang, Duygu Ceylan, Jimei Yang, Nathan Carr, Yi Zhou, Hyun Soo Park

IEEE Computer Vision and Pattern Recognition (CVPR 2023), 

[Highlight (10% of accepted papers, 2.5% of submissions)

[Pdf | Video  | Project Website  | BibTeX]

Self-supervised 3D Representation Learning of Dressed Humans from Social Media Videos

Yasamin Jafarian, Hyun Soo Park 

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2022),  [Journal]

[Pdf | Paper | Code | Dataset | Project Website  | BibTeX]

Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos

Yasamin Jafarian, Hyun Soo Park 

IEEE Computer Vision and Pattern Recognition (CVPR 2021), 

[Oral presentation] [Best Paper Honorable Mention Award]

[Pdf | Video | Code | Dataset | Project Website  | BibTeX]

MONET: Multiview Semi-supervised Keypoint via Epipolar Divergence 

Yuan Yao, Yasamin Jafarian, Hyun Soo Park

International Conference on Computer Vision (ICCV 2019) 

[Pdf | Video | Code | BibTex]

Dataset

Internship

Honors & Awards

News

Oct 2023: I started as a Research Scientist at Google Research

Sep 2023: I defended my Ph.D. thesis in "Learning Geometric Representation of Dressed Humans".

May 2023: I was chosen as an outstanding reviewer at CVPR 2023 (Out of 7,000 reviewers, 232 exceptional reviewers (3.3% of the reviewers) were selected as outstanding reviewers based on nominations and ratings provided by the Area Chairs).

March 2023: The paper "Normal-guided Garment UV Prediction for Human Re-texturing" is selected as a highlight at CVPR 2023 (10% of accepted papers, 2.5% of submissions).

March 2023: I was accepted into the CVPR 2023 Doctoral Consortium (13% of the applications).

March 2023: The paper "Normal-guided Garment UV Prediction for Human Re-texturing" is accepted in CVPR 2023.

Feb 2023: I am invited to be a reviewer at ICCV 2023.

Dec 2022: The paper "Self-supervised 3D Representation Learning of Dressed Humans from Social Media Videos" is accepted to TPAMI.

Nov 2022:  I am invited to be a reviewer at CVPR 2023.

Nov 2022: I started as a research intern at Google Research.

March 2022: I started as a research intern at Adobe Research.

Jan 2022: I received the "UMII-MnDRIVE PhD Graduate Assistantship" from the University of Minnesota Informatics Institute (UMII)

June 2021: The paper "Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos" won the Best Paper Honorable Mention.

June 2021: The TikTok dataset is published in the Kaggle.

June 2021: The paper "Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos" is chosen as a CVPR best paper candidate.

Mar 2021: The paper "Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos" is accepted for oral presentation in CVPR 2021.

Jul 2019: The paper "MONET: Multiview Semi-supervised Keypoint via Epipolar Divergence" Is accepted to ICCV 2019.