I am currently Associate Professor at School of Artificial Intelligence in BUPT. I received the PhD at Pattern Recognition and Intelligent Systems (PRIS) laboratory of BUPT in 2019.During PHD career, I was under the join supervision of Professor Honggang Zhang (the director of PRIS) and Dr. Yi-Zhe Song (the director of SketchX).

My research interest is Computer Vision and Machine Learning, particularly focus on Sketch, Video analysis, Information Retrieval.

Education and Work experience

2009.09 – 2013.06 B.S. in BUPT
2013.09 – 2019.06 M.S. & PH.D in BUPT
2017.10 – 2018.12 Visiting scholar in SketchX

Publications

2025

Zhipeng Chen, Lan Yang, Yonggang Qi, Honggang Zhang, Kaiyue Pang, Ke Li, Yi-Zhe Song.
The 39th Annual AAAI Conference on Artificial Intelligence(AAAI),Oral

VersaGen: Unleashing Versatile Visual Control for Text-to-Image Synthesis

Jiangning Wei, lixiong Qin, Bo Yu, TianJian Zou, Chuhan Yan, Dandan Xiao, Yang Yu, Lan Yang, Ke Li, Jun Liu.
The 39th Annual AAAI Conference on Artificial Intelligence(AAAI)

VA-AR: Learning Velocity-Aware Action Representations with Mixture of Window Attentions

2024

Jijin Hu, Ke Li, Yonggang Qi, Yi-Zhe Song.
The Twelfth International Conference on Learning Representations(ICLR)

Scale-Adaptive Diffusion Model for Complex Sketch Synthesis

Xin Dai, Haoge Deng, Ke Li, Yonggang Qi.
International Conference on Pattern Recognition

Sketch2Seg: Sketch-Based Image Segmentation with Pre-trained Diffusion Model

Hongming Guo, Ziqing Huang, Qian Yuan, Hanbo Song, Zhiyan Liu, Xianzhao Feng, Anqi Liu, Min Liu, Ke Li, Ruixi Zhou
International Conference on Artificial Neural Networks

Advancing Free-Breathing Cardiac Cine MRI: Retrospective Respiratory Motion Correction Via Kspace-and-Image Guided Diffusion Model

2023

Ke Li, Kaiyue Pang, Yi-Zhe Song.
IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR)

Photo Pre-Training, But for Sketchs

Zhiyu Qu, Yulia Gryaditskaya,Ke Li, Kaiyue Pang, Tao Xiang, Yi-Zhe Song.
IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR)

SketchXAI: A First Look at Explainability for Human Sketches

2019

Kaiyue Pang¹, Ke Li¹, Yongxin Yang, Honggang Zhang, Timothy M Hospedales, Tao Xiang, Yi-Zhe Song
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR)
¹ equal contribution

Generalising Fine-Grained Sketch-Based Image Retrieval

Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M Hospedales, Honggang Zhang
IEEE Transactions on Image Processing(TIP)

Towards Deep Universal Sketch Perceptual Grouper

2018

Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M Hospedales, Honggang Zhang
Proceedings of the european conference on computer vision(ECCV)

Universal Sketch Perceptual Grouping

2017

Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M Hospedales, Honggang Zhang
IEEE Transactions on Image Processing(TIP)

Synergistic Instance-Level Subspace Alignment for Fine-Grained Sketch-Based Image Retrieval

2016

Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M Hospedales, Honggang Zhang
IEEE Winter Conference on Applications of Computer Vision(WACV),Oral

Fine-Grained Sketch-Based Image Retrieval: The Role of Part-Aware Attributes

Yichuan Hu,Ke Li, Honggang Zhang
Visual Communications and Image Processing (VCIP)

Cross-modal face matching: Tackling visual abstraction using fine-grained attributes

Peng Xu, Ke Li, Zhanyu Ma, Yi-Zhe Song, Liang Wang, Jun Guo
IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC), Best Paper Award

Cross-modal subspace learning for sketch-based image retrieval: A comparative study