About Me
Hi there, I am a Ph.D. candidate from VIDAR (Vision Information Discovery And Recovery) group at USTC, supervised by Prof. Zhiwei Xiong. My research interests include viusal content synthesis and computational photography.
I’m expected to obtain my Ph.D. degree at July 2024, and I’m pursuing a position related to artificial intelligence generated content (AIGC), image manipulation, and computer vision. If you are interested, please contact me via jclee@mail.ustc.edu.cn.
我预计于2024年夏季毕业,如果您有视觉内容生成、计算摄像以及计算机视觉相关的算法岗位,请通过邮件(jclee@mail.ustc.edu.cn)联系我。
Publications
Learning Steerable Function for Efficient Image Resampling
Jiacheng Li*, Chang Chen*, Wei Huang, Zhiqiang Lang, Fenglong Song, Youliang Yan, Zhiwei Xiong
Project | PDF | Supp. | Intro Video(YouTube) | Code
Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up Tables
Jiacheng Li, Chang Chen, Zhen Cheng, Zhiwei Xiong
Project | PDF | Code
Contextual Outpainting with Object-Level Contrastive Learning
Jiacheng Li, Chang Chen, Zhiwei Xiong
Project | PDF | Supp. | Intro Video(YouTube) | Demo Video(YouTube) | Code
Reference-Guided Landmark Image Inpainting with Deep Feature Matching
Jiacheng Li, Zhiwei Xiong, Dong Liu
Project | PDF | Code
MuLUT: Cooperating Multiple Look-Up Tables for Efficient Super-Resolution
Jiacheng Li*, Chang Chen*, Zhen Cheng, Zhiwei Xiong
Project | PDF | Supp. | Intro Video(YouTube) | Code
Semantic Image Analogy with a Conditional Single-Image GAN
Jiacheng Li, Zhiwei Xiong, Dong Liu, Xuejin Chen, Zhen-Jun Zha
Collaboration Works
Style Projected Clustering for Domain Generalized Semantic Segmentation
Wei, Huang, Chang Chen, Yong Li, Jiacheng Li, Cheng Li, Fenglong Song, Youliang Yan, Zhiwei Xiong
PDF | Supp.
Region-Aware Portrait Retouching with Sparse Interactive Guidance
Huimin Zeng, Jie Huang, Jiacheng Li, Zhiwei Xiong
PDF | Code
Mask Rearranging Data Augmentation for 3D Mitochondria Segmentation
Qi Chen, Mingxing Li, Jiacheng Li, Bo Hu, Zhiwei Xiong
PDF | Code
Awards
Winner of Dunhuang Challenge (Inpainting) at ICCV 2019 Workshop on e-Heritage
National Scholarship (国家奖学金) 2022
Experiences
Research Intern, Huawei Noah’s Ark Lab, Beijing, 2022.08 - present
Topics: AIGC, Image Manipulation
Research Intern, DeepGlint, Beijing, 2017.10-2018.07
Topic: Object Detection