activity
20182025
most citedMONET: Multiview Semi-supervised Keypoint Detection via Epipolar Divergence

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2025

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps

Sandeep Mishra, Yasamin Jafarian, Andreas Lugmayr +5

Photographs of people taken by professional photographers typically present the person in beautiful lighting, with an interesting pose, and flattering quality. This is unlike commo…

cs.LG2025

Test-Time Anchoring for Discrete Diffusion Posterior Sampling

Litu Rout, Andreas Lugmayr, Yasamin Jafarian +4

While continuous diffusion models have achieved remarkable success, discrete diffusion offers a unified framework for jointly modeling text and images. Beyond unification, discrete…

cs.CV2025

HoloGarment: 360° Novel View Synthesis of In-the-Wild Garments

Johanna Karras, Yingwei Li, Yasamin Jafarian +1

Novel view synthesis (NVS) of in-the-wild garments is a challenging task due significant occlusions, complex human poses, and cloth deformations. Prior methods rely on synthetic 3D…

cs.CV2023

Normal-guided Garment UV Prediction for Human Re-texturing

Yasamin Jafarian, Tuanfeng Y. Wang, Duygu Ceylan +4

Clothes undergo complex geometric deformations, which lead to appearance changes. To edit human videos in a physically plausible way, a texture map must take into account not only…

eess.IV2022

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

Alireza Rezazadeh, Yasamin Jafarian, Ali Kord

Image classification is widely used to build predictive models for breast cancer diagnosis. Most existing approaches overwhelmingly rely on deep convolutional networks to build suc…

cs.CV2021

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

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…

cs.CV2018★ 1 cited

MONET: Multiview Semi-supervised Keypoint Detection via Epipolar Divergence

Yuan Yao, Yasamin Jafarian, Hyun Soo Park

This paper presents MONET -- an end-to-end semi-supervised learning framework for a keypoint detector using multiview image streams. In particular, we consider general subjects suc…