I'm a Ph.D. candidate in Computer Science and Engineering at the University of Minnesota, Twin Cities, advised by Prof. Hyun Soo Park

Currently, I'm working on single view human 3D reconstruction with a focus on predicting the high fidelity depth and surface normal from social media videos in a self-supervised framework.

My previous research area were keypoint tracking and detection of nonhuman beings such as monkeys and dogs and measuring the behaviors of them in three-dimensional space (3D) using multi-view cameras.

I have received the Best Paper Honorable Mention Award at CVPR 2021 for "Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos"


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

Publications

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

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.