Ke Li

22 papers A* 6A 1C 1Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
SACG++: Complex Sketch Generation via Representation-Enhanced Scale-Adaptive Classifier Guidance.
Int. J. Comput. Vis.
Ke Li, Jijin Hu, Zhipeng Chen, Lan Yang, Yonggang Qi, Yi-Zhe Song
2026 J jnl
ST-VA-AR: Learning velocity-aware action representations with mixture of spatiotemporal attention.
Pattern Recognit.
Jiangning Wei, Bo Yu, Ke Li, Lan Yang, Dandan Xiao, Jun Liu
2026 J jnl
SemVideo: Reconstructs What You Watch from Brain Activity via Hierarchical Semantic Guidance.
CoRR
Minghan Yang, Lan Yang, Ke Li, Honggang Zhang, Kaiyue Pang, Yi-Zhe Song
2026 J jnl
SynMind: Reducing Semantic Hallucination in fMRI-Based Image Reconstruction.
CoRR
Lan Yang, Minghan Yang, Ke Li, Honggang Zhang, Kaiyue Pang, Yi-Zhe Song
2025 J jnl
4-Doodle: Text to 3D Sketches that Move!
CoRR
Hao Chen, Jiaqi Wang, Yonggang Qi, Ke Li, Kaiyue Pang, Yi-Zhe Song
2025 A* conf
VersaGen: Unleashing Versatile Visual Control for Text-to-Image Synthesis.
AAAI
Zhipeng Chen, Lan Yang, Yonggang Qi, Honggang Zhang, Kaiyue Pang, Ke Li, Yi-Zhe Song
2024 A* conf
Scale-Adaptive Diffusion Model for Complex Sketch Synthesis.
ICLR
Jijin Hu, Ke Li, Yonggang Qi, Yi-Zhe Song
2024 J jnl
VersaGen: Unleashing Versatile Visual Control for Text-to-Image Synthesis.
CoRR
Zhipeng Chen, Lan Yang, Yonggang Qi, Honggang Zhang, Kaiyue Pang, Ke Li, Yi-Zhe Song
2023 A* conf
Photo Pre-Training, But for Sketch.
CVPR
Ke Li, Kaiyue Pang, Yi-Zhe Song
2023 A* conf
SketchXAI: A First Look at Explainability for Human Sketches.
CVPR
Zhiyu Qu, Yulia Gryaditskaya, Ke Li, Kaiyue Pang, Tao Xiang, Yi-Zhe Song
2023 J jnl
SketchXAI: A First Look at Explainability for Human Sketches.
CoRR
Zhiyu Qu, Yulia Gryaditskaya, Ke Li, Kaiyue Pang, Tao Xiang, Yi-Zhe Song
2022 — conf
CDAD: A Common Daily Action Dataset with Collected Hard Negative Samples.
CVPR Workshops
Wangmeng Xiang, Chao Li, Ke Li, Biao Wang, Xian-Sheng Hua, Lei Zhang
2021 A* conf
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting.
ICCV
Binghui Chen, Zhaoyi Yan, Ke Li, Pengyu Li, Biao Wang, Wangmeng Zuo, Lei Zhang
2021 J jnl
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting.
CoRR
Binghui Chen, Zhaoyi Yan, Ke Li, Pengyu Li, Biao Wang, Wangmeng Zuo, Lei Zhang
2019 A* conf
Generalising Fine-Grained Sketch-Based Image Retrieval.
CVPR
Kaiyue Pang, Ke Li, Yongxin Yang, Honggang Zhang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2019 J jnl
Toward Deep Universal Sketch Perceptual Grouper.
IEEE Trans. Image Process.
Ke Li, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang
2018 J jnl
Universal Perceptual Grouping.
CoRR
Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang
2018 — conf
Universal Sketch Perceptual Grouping.
ECCV (8)
Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang
2017 J jnl
Synergistic Instance-Level Subspace Alignment for Fine-Grained Sketch-Based Image Retrieval.
IEEE Trans. Image Process.
Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M. Hospedales, Tao Xiang, Honggang Zhang
2016 C conf
Cross-modal face matching: Tackling visual abstraction using fine-grained attributes.
VCIP
Yichuan Hu, Ke Li, Honggang Zhang
2016 — conf
Cross-modal subspace learning for sketch-based image retrieval: A comparative study.
IC-NIDC
Peng Xu, Ke Li, Zhanyu Ma, Yi-Zhe Song, Liang Wang, Jun Guo
2016 A conf
Fine-grained sketch-based image retrieval: The role of part-aware attributes.
WACV
Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M. Hospedales, Honggang Zhang, Yichuan Hu