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ORCIDKe Li 0004
Person information
- affiliation: Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, China
Other persons with the same name
- Ke Li — disambiguation page
- Ke Li 0001
![[0000-0001-7200-4244]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7200-4244")
— University of Exeter, College of Engineering, Mathematics and Physical Sciences, UK (and 4 more) - Ke Li 0002 — Shandong University, School of Control Science and Engineering, Jinan, China (and 1 more)
- Ke Li 0003 — Beijing Union University, College of Information Technology, China (and 2 more)
- Ke Li 0005 — PLA Strategic Support Force Information Engineering University, China (and 1 more)
- Ke Li 0006 — Xidian University, School of Physics and Optoelectronic Engineering, Xi'an, China
- Ke Li 0007 — Shandong University, School of Control Science and Engineering, Jinan, China
- Ke Li 0008 — University of Southampton, Optoelectronics Research Centre, UK
- Ke Li 0009 — Heriot-Watt University, Edinburgh, UK
- Ke Li 0010 — Fudan University, Shanghai Key Laboratory of Intelligent Information Processing, China
- Ke Li 0011 — University of California, Berkeley, USA
- Kenneth Li 0002 (aka: Ke Li 0012) — Harvard University, MA, USA
- Ke Li 0013 — Cornell University, Ithaca, NY, USA
- Ke Li 0014 — Sorbonne University, France
- Ke Li 0015 — Tencent Youtu Lab, Shanghai, China
- Ke Li 0016 — Harbin Institute of Technology, Institute for Advanced Study in Mathematics, Nangang, China (and 1 more)
- Ke Li 0017 — Naval University of Engineering, Electronic Engineering Institute, China
- Ke Li 0018 — Facebook AI, Menlo Park, CA, USA (and 1 more)
- Ke Li 0019 — University of Electronic Science and Technology of China, Chengdu, China
- Ke Li 0020 — Southwest Jiaotong University, School of Computing and Artificial Intelligence, Chengdu, China (and 1 more)
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2020 – today
- 2024
[c10]Jijin Hu, Ke Li, Yonggang Qi, Yi-Zhe Song:
Scale-Adaptive Diffusion Model for Complex Sketch Synthesis. ICLR 2024- 2023
- [c9]Ke Li, Kaiyue Pang, Yi-Zhe Song:
Photo Pre-Training, But for Sketch. CVPR 2023: 275-285 - [c8]Zhiyu Qu, Yulia Gryaditskaya, Ke Li, Kaiyue Pang, Tao Xiang, Yi-Zhe Song:
SketchXAI: A First Look at Explainability for Human Sketches. CVPR 2023: 23327-23337 - [i3]Zhiyu Qu, Yulia Gryaditskaya, Ke Li, Kaiyue Pang, Tao Xiang, Yi-Zhe Song:
SketchXAI: A First Look at Explainability for Human Sketches. CoRR abs/2304.11744 (2023) - 2022
- [c7]Wangmeng Xiang, Chao Li, Ke Li, Biao Wang, Xian-Sheng Hua, Lei Zhang:
CDAD: A Common Daily Action Dataset with Collected Hard Negative Samples. CVPR Workshops 2022: 3920-3929 - 2021
- [c6]Binghui Chen, Zhaoyi Yan, Ke Li, Pengyu Li, Biao Wang, Wangmeng Zuo, Lei Zhang:
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting. ICCV 2021: 16045-16055 - [i2]Binghui Chen, Zhaoyi Yan, Ke Li, Pengyu Li, Biao Wang, Wangmeng Zuo, Lei Zhang:
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting. CoRR abs/2108.08023 (2021)
2010 – 2019
- 2019
- [j2]Ke Li, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang:
Toward Deep Universal Sketch Perceptual Grouper. IEEE Trans. Image Process. 28(7): 3219-3231 (2019) - [c5]Kaiyue Pang, Ke Li, Yongxin Yang, Honggang Zhang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Generalising Fine-Grained Sketch-Based Image Retrieval. CVPR 2019: 677-686 - 2018
- [c4]Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang:
Universal Sketch Perceptual Grouping. ECCV (8) 2018: 593-609 - [i1]Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang:
Universal Perceptual Grouping. CoRR abs/1808.02312 (2018) - 2017
- [j1]Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M. Hospedales, Tao Xiang, Honggang Zhang:
Synergistic Instance-Level Subspace Alignment for Fine-Grained Sketch-Based Image Retrieval. IEEE Trans. Image Process. 26(12): 5908-5921 (2017) - 2016
- [c3]Peng Xu, Ke Li, Zhanyu Ma, Yi-Zhe Song, Liang Wang, Jun Guo:
Cross-modal subspace learning for sketch-based image retrieval: A comparative study. IC-NIDC 2016: 500-504 - [c2]Yichuan Hu, Ke Li, Honggang Zhang:
Cross-modal face matching: Tackling visual abstraction using fine-grained attributes. VCIP 2016: 1-4 - [c1]Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M. Hospedales, Honggang Zhang, Yichuan Hu:
Fine-grained sketch-based image retrieval: The role of part-aware attributes. WACV 2016: 1-9
Coauthor Index
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