Ke Li

According to our database, Ke Li authored at least 19 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SACG++: Complex Sketch Generation via Representation-Enhanced Scale-Adaptive Classifier Guidance.

Ke Li, Jijin Hu, Zhipeng Chen, Lan Yang, Yonggang Qi, Yi-Zhe Song

Int. J. Comput. Vis., March, 2026

SemVideo: Reconstructs What You Watch from Brain Activity via Hierarchical Semantic Guidance.

Minghan Yang, Lan Yang, Ke Li, Honggang Zhang, Kaiyue Pang, Yi-Zhe Song

CoRR, February, 2026

SynMind: Reducing Semantic Hallucination in fMRI-Based Image Reconstruction.

Lan Yang, Minghan Yang, Ke Li, Honggang Zhang, Kaiyue Pang, Yi-Zhe Song

CoRR, January, 2026

ST-VA-AR: Learning velocity-aware action representations with mixture of spatiotemporal attention.

Jiangning Wei, Bo Yu, Ke Li, Lan Yang, Dandan Xiao, Jun Liu

Pattern Recognit., 2026

2025

4-Doodle: Text to 3D Sketches that Move!

Hao Chen, Jiaqi Wang, Yonggang Qi, Ke Li, Kaiyue Pang, Yi-Zhe Song

CoRR, October, 2025

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

Zhipeng Chen, Lan Yang, Yonggang Qi, Honggang Zhang, Kaiyue Pang, Ke Li, Yi-Zhe Song

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Scale-Adaptive Diffusion Model for Complex Sketch Synthesis.

Jijin Hu, Ke Li, Yonggang Qi, Yi-Zhe Song

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

SketchXAI: A First Look at Explainability for Human Sketches.

Zhiyu Qu, Yulia Gryaditskaya, Ke Li, Kaiyue Pang, Tao Xiang, Yi-Zhe Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Photo Pre-Training, But for Sketch.

Ke Li, Kaiyue Pang, Yi-Zhe Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

CDAD: A Common Daily Action Dataset with Collected Hard Negative Samples.

Wangmeng Xiang, Chao Li, Ke Li, Biao Wang, Xian-Sheng Hua, Lei Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting.

Binghui Chen, Zhaoyi Yan, Ke Li, Pengyu Li, Biao Wang, Wangmeng Zuo, Lei Zhang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019

Toward Deep Universal Sketch Perceptual Grouper.

Ke Li, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang

IEEE Trans. Image Process., 2019

Generalising Fine-Grained Sketch-Based Image Retrieval.

Kaiyue Pang, Ke Li, Yongxin Yang, Honggang Zhang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Universal Perceptual Grouping.

Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang

CoRR, 2018

Universal Sketch Perceptual Grouping.

Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

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

Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M. Hospedales, Tao Xiang, Honggang Zhang

IEEE Trans. Image Process., 2017

2016

Fine-grained sketch-based image retrieval: The role of part-aware attributes.

Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M. Hospedales, Honggang Zhang, Yichuan Hu

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

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

Yichuan Hu, Ke Li, Honggang Zhang

Proceedings of the 2016 Visual Communications and Image Processing, 2016

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

Peng Xu, Ke Li, Zhanyu Ma, Yi-Zhe Song, Liang Wang, Jun Guo

Proceedings of the IEEE International Conference on Network Infrastructure and Digital Content, 2016