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]
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]
Dataset
340 dance videos from TikTok mobile social networking application
Short videos (10-15 seconds) of diverse dance challenges
In total, more than 100K images along with high fidelity Segmentation, and UV coordinates from DensePose.
We provide the dance names and raw videos as well for motion detection tasks.
Internship
Research Intern
[Remote] Mountain View, CA | (Nov 2022 - March 2023.)
With Dr. Ahmed Gawish and Dr. Rohit Kumar Pandey
Intern - Research Scientist
[Remote] San Jose, USA | 2022 (March - June.)
With Dr. Duygu Ceylan and Dr. Tuanfeng Y. Wang
Honors & Awards
UMII-MnDRIVE PhD Graduate Assistantship | 2022
Received the UMII-MnDRIVE PhD Graduate Assistantship Award from the University of Minnesota Informatics Institute (UMII) ($54,946.00).
Best Paper Honorable Mention Award at CVPR 2021 | 2021
Received the Best Paper Honorable Mention Award at CVPR 2021 for my paper "Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos"
FOE Prize | 2013
Ranked first in GPA among the hardware computer engineering class of 2013 at the University of Tehran.
News
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: 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.
