Search Results for author: Yasamin Jafarian

Found 4 papers, 3 papers with code

Normal-guided Garment UV Prediction for Human Re-texturing

no code implementations CVPR 2023 Yasamin Jafarian, Tuanfeng Y. Wang, Duygu Ceylan, Jimei Yang, Nathan Carr, Yi Zhou, Hyun Soo Park

To edit human videos in a physically plausible way, a texture map must take into account not only the garment transformation induced by the body movements and clothes fitting, but also its 3D fine-grained surface geometry.

3D Reconstruction

Explainable Ensemble Machine Learning for Breast Cancer Diagnosis based on Ultrasound Image Texture Features

1 code implementation17 Jan 2022 Alireza Rezazadeh, Yasamin Jafarian, Ali Kord

Each decision tree learns to classify the input ultrasound image by learning a set of robust decision thresholds for texture features of the image.

Image Classification

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

1 code implementation CVPR 2021 Yasamin Jafarian, Hyun Soo Park

A key challenge of learning a visual representation for the 3D high fidelity geometry of dressed humans lies in the limited availability of the ground truth data (e. g., 3D scanned models), which results in the performance degradation of 3D human reconstruction when applying to real-world imagery.

3D Human Reconstruction Depth Estimation +2

MONET: Multiview Semi-supervised Keypoint Detection via Epipolar Divergence

1 code implementation ICCV 2019 Yuan Yao, Yasamin Jafarian, Hyun Soo Park

While multiview geometry can be used to self-supervise the unlabeled data, integrating the geometry into learning a keypoint detector is challenging due to representation mismatch.

Data Augmentation Keypoint Detection

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