单击图片可获得狗粮 (๑>◡<๑)

Wenjing Wang

汪文靖

  • Email:
  • Address:
  • daooshee@pku.edu.cn
  • No. 128 Zhongguancun North Street, Haidian District, Beijing, 100871, P. R. China.

About Me

I am currently pursuing the Ph.D. degree of computer science with Wangxuan Institute of Computer Technology, Peking University, under the supervision of Prof. Jiaying Liu at STRUCT.

Research

Currently, my research interests include joint high-level and low-level learning. I'm also interested in image synthesis, stylization, and enhancement.

Publication

Wenjing Wang, Wenhan Yang, and Jiaying Liu. "HLA-Face: Joint High-Low Adaptation for Low Light Face Detection", Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, Tennessee, June 2021.
Links: [PDF] [Website| Code]
Wenjing Wang, Shuai Yang, Jizheng Xu, and Jiaying Liu. "Consistent Video Style Transfer via Relaxation and Regularization", IEEE Trans. on Image Processing (TIP), Vol.29, pp.9125-9139, 2020.
Links: [PDF] [Website| Code, Supp]
Shuai Yang*, Wenjing Wang* and Jiaying Liu. "TE141K: Artistic Text Benchmark for Text Effect Transfer", IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), Vol.43, pp.3709-3723, Oct. 2021. (*Equal contribution)
Links: [PDF] [Website | Code, Dataset, Supp]
Wenjing Wang, Jizheng Xu, Li Zhang, Yue Wang, Jiaying Liu. "Consistent Video Style Transfer via Compound Regularization", Proc. of AAAI Conference on Artificial Intelligence (AAAI), New York, Feb. 2020.
Links: [PDF] [Website]
Wenjing Wang, Jiaying Liu, Shuai Yang, Zongming Guo. "Typography with Decor: Intelligent Text Style Transfer", Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, U.S., June 2019.
Links: [PDF] [Website | Code, Dataset]
Chen Wei*, Wenjing Wang*, Wenhan Yang, and Jiaying Liu. "Deep Retinex Decomposition for Low-Light Enhancement", Proc. of British Machine Vision Conference (BMVC), Newcastle, U.K., Sep. 2018. (*Equal contribution)
Links: [PDF] [Website | Code, Dataset, Supp]
Wenjing Wang*, Chen Wei*, Wenhan Yang and Jiaying Liu. "GLADNet: Low-Light Enhancement Network with Global Awareness", Proc. of IEEE Conference on Automatic Face and Gesture Recognition (FG), Xi'an, China, May 2018. (*Equal contribution)
Links: [PDF] [Website | Code]

  • Wenjing Wang, Liliang Lin, Zejia Fan and Jiaying Liu. "Semi-Supervised Learning for Mars Imagery Classification", Accepted by IEEE International Conference on Image Processing (ICIP), Anchorage, Alaska, Sep. 2021.
  • Qiyu Dai, Shuai Yang, Wenjing Wang, Wei Xiang and Jiaying Liu. "Edit Like A Designer: Modeling Design Workflows for Unaligned Fashion Editing", Accepted by ACM Multimedia (ACM MM), Chengdu, Oct. 2021.
  • Hao Liang, Shuai Yang, Wenjing Wang and Jiaying Liu. "Instance-Aware Coherent Video Style Transfer for Chinese Ink Wash Painting", Proc. of International Joint Conference on Artificial Intelligence (IJCAI), Montreal, Canada, Aug. 2021.
  • Wenhan Yang, Haofeng Huang, Wenjing Wang, Shiqi Wang, and Jiaying Liu. "Sparse Gradient Regularized Deep Retinex Network for Robust Low-Light Image Enhancement", IEEE Trans. on Image Processing (TIP), Vol.30, pp.2072-2086, 2021.
  • Yu Han, Shuai Yang, Wenjing Wang, and Jiaying Liu. "From Design Draft to Real Attire: Unaligned Fashion Image Translation", Proc. of ACM Multimedia (ACM MM), Seattle, Washington, Oct. 2020. [PDF] [Website]
  • Minhao Fan, Wenjing Wang, Wenhan Yang, and Jiaying Liu. "Integrating Semantic Segmentation and Retinex Model for Low-Light Image Enhancement", Proc. of ACM Multimedia (ACM MM), Seattle, Washington, Oct. 2020. [PDF]
  • Keqiang Yan, Shuai Yang, Wenjing Wang, and Jiaying Liu. "Multitask Attentive Network for Text Effects Quality Assessment", Proc. of IEEE International Conference on Multimedia & Expo (ICME), London, UK, July 2020. [PDF]
  • Shuai Yang, Jiaying Liu, Wenjing Wang, and Zongming Guo. "TET-GAN: Text Effects Transfer via Stylization and Destylization", Proc. of AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, Jan. 2019. [PDF] [Website | Code, Dataset, Supp]