Yilin Wang

I'm a research scientist at Adobe in San Jose, where I in a team mostly works for computer vision research for Adobe Imaging proucts. .

At Adobe I've worked on Instruction based Image Editing, Select Subject, Photoshop Object finder(14% MAU!), Photoshop Selection Improvement (increase 4% MAU), and Style Transfer. I did my PhD at Arizona State University, where I was advised by Baoxin Li. I am the core researcher for 8 tech transfer for Adobe Products such as Photoshop, Lightroom and Stardust.

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I'm interested in computer vision, machine learning, computer vision, and image processing. Most of my research is about images understanding and editing. Representative papers are highlighted.

Amodal Scene Analysis via Holistic Occlusion Relation Inference and Generative Mask Completion
Bowen Zhang, Qing Liu, Jianming Zhang, Yilin Wang Akide Liu, Zhe Lin, Yifan Liu,
AAAI, 2024
project page / paper

Amodal Segmentation considers mutual occulusion.

PHOTOSWAP: Personalized Subject Swapping in Images
Jing Gu, Yilin Wang Nanxuan Zhao, Tsu-Jui Fu, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, HyunJoon Jung, Xin Eric Wang
project page / paper / NeurIPS, 2023

A method for personalized subject driven image editing.

LightPainter: Interactive Portrait Relighting with Freehand Scribble
Yiqun Mei, He Zhang, Xuaner Zhang, Jianming Zhang, Zhixin Shu, Yilin Wang Zijun Wei, Yan Shi, HyunJoon Jung, Vishal M. Patel,
CVPR, 2023
project page / paper

A scribble-based relighting system that allows users to interactively manipulate portrait lighting effect with ease.

Interactive Portrait Harmonization
Jeya Maria Jose Valanarasu, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Yinglan Ma, Zijun Wei, Kalyan Sunkavalli Vishal M. Patel
ICLR, 2023
project page / paper

Interactive Harmonization for portrait photo.

Lite Vision Transformer with Enhanced Self-Attention
Chenglin Yang, Yilin Wang, Jianming Zhang, He Zhang, Jianming Zhang, Zijun Wei, Zhe Lin, Alan Yuille
CVPR, 2022
project page / paper

light-weight vision transformer models for vision tasks.

SSH: A Self-Supervised Framework for Image Harmonization
Yifan Jiang, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Kalyan Sunkavalli, Simon Chen, Sohrab Amirghodsi, Sarah Kong, Zhangyang Wang,
ICCV, 2021

Image Harmonization based on self-supervised learning

Mask Guided Matting via Progressive Refinement Network
Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, Alan Yuille
CVPR, 2021
project page / paper

Mask Guided Image Matting

Multimodal Contrastive Training for Visual Representation Learning
Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang Michael Maire, Ajinkya Kale, Baldo Faieta,
CVPR, 2021
project page / paper

Intra- and inter-modal similarity preservation for multimodal representation learning.


Area Chair, ACM MM 2020
Area Chair, ACM MM 2021
Committee, Adobe Fellowship
Reviewer of CVPR, ICCV, ECCV, ICML, NuriPS since 2017
Arizona State Graduate Student Fellowship 2017

Research Interns

Zhanghan Ke, Nannan Li, Yiqun Mei ,
Yulun Zhang, Shikun Liu, Chenglin Yang,
Jeya Maria Jose Valanarasu, Kenan E Ak, Qihang Yu,
Xin Yuan , Yifan Jiang, Jing Gu, Zhibo Yang

Copy the website template from Jon Barron.