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Ke Li 0010
Person information
- affiliation: Fudan University, Shanghai Key Laboratory of Intelligent Information Processing, China
Other persons with the same name
- Ke Li — disambiguation page
- Ke Li 0001
— University of Exeter, College of Engineering, Mathematics and Physical Sciences, UK (and 4 more)
- Ke Li 0002
- Ke Li 0003
- Ke Li 0004
- Ke Li 0005
- Ke Li 0006
- Ke Li 0007
- Ke Li 0008
- Ke Li 0009 — Heriot-Watt University, Edinburgh, UK
- Ke Li 0011 — University of California, Berkeley, USA
- Kenneth Li 0002
- Ke Li 0013
- Ke Li 0014
- Ke Li 0015
- Ke Li 0016
- Ke Li 0017
- Ke Li 0018 — Facebook AI, Menlo Park, CA, USA (and 1 more)
- Ke Li 0019
- Ke Li 0020
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2020 – today
- 2021
- [c13]Jichun Li
Organ-Branched CNN for Robust Face Super-Resolution. ICME 2021: 1-6
2010 – 2019
- 2019
- [j7]Bahetiyaer Bare, Bo Yan, Chenxi Ma, Ke Li:
Real-time video super-resolution via motion convolution kernel estimation. Neurocomputing 367: 236-245 (2019) - [j6]Bo Yan
Deep Objective Quality Assessment Driven Single Image Super-Resolution. IEEE Trans. Multim. 21(11): 2957-2971 (2019) - [c12]Jichun Li
Scale-Aware Deep Network with Hole Convolution for Blind Motion Deblurring. ICME 2019: 658-663 - 2018
- [c11]Bahetiyaer Bare, Ke Li, Bo Yan, Bailan Feng, Chunfeng Yao:
A Deep Learning Based No-Reference Image Quality Assessment Model for Single-Image Super-Resolution. ICASSP 2018: 1223-1227 - [c10]Ke Li, Bahetiyaer Bare, Bo Yan, Bailan Feng, Chunfeng Yao:
Face Hallucination Based on Key Parts Enhancement. ICASSP 2018: 1378-1382 - [c9]Ke Li, Bahetiyaer Bare, Bo Yan, Bailan Feng, Chunfeng Yao:
HNSR: Highway Networks Based Deep Convolutional Neural Networks Model for Single Image Super-Resolution. ICASSP 2018: 1478-1482 - 2017
- [j5]Bo Yan, Bahetiyaer Bare, Ke Li, Jun Li, Alan C. Bovik:
Learning quality assessment of retargeted images. Signal Process. Image Commun. 56: 12-19 (2017) - [j4]Bo Yan, Weimin Tan
Codebook Guided Feature-Preserving for Recognition-Oriented Image Retargeting. IEEE Trans. Image Process. 26(5): 2454-2465 (2017) - [c8]Ke Li, Bahetiyaer Bare, Bo Yan:
An efficient deep convolutional neural networks model for compressed image deblocking. ICME 2017: 1320-1325 - [c7]Bahetiyaer Bare, Ke Li, Bo Yan:
An accurate deep convolutional neural networks model for no-reference image quality assessment. ICME 2017: 1356-1361 - 2016
- [j3]Ke Li, Bo Yan, Weiyi Wang, Hamid Gharavi:
An Effective Video Synopsis Approach with Seam Carving. IEEE Signal Process. Lett. 23(1): 11-14 (2016) - [j2]Weimin Tan, Bo Yan, Ke Li, Qi Tian:
Image Retargeting for Preserving Robust Local Feature: Application to Mobile Visual Search. IEEE Trans. Multim. 18(1): 128-137 (2016) - [c6]Yinchu Chen, Ke Li, Bo Yan:
Saliency-Based Objective Quality Assessment of Tone-Mapped Images. PCM (1) 2016: 550-558 - 2015
- [j1]Bo Yan, Ke Li, Xiaochu Yang, Tingxiao Hu:
Seam Searching-Based Pixel Fusion for Image Retargeting. IEEE Trans. Circuits Syst. Video Technol. 25(1): 15-23 (2015) - [c5]Ke Li, Qianxu Zeng, Bahetiyaer Bare, Bo Yan, Hamid Gharavi:
Improved seam carving for image retargeting with sift feature preservation. ChinaSIP 2015: 672-676 - [c4]Bahetiyaer Bare, Ke Li, Bo Yan, Xiaoyu Qi, Hamid Gharavi:
Pixel fusion based stereo image retargeting. ICME 2015: 1-6 - 2014
- [c3]Ke Li, Bo Yan, Liu Liu, Kairan Sun:
Efficient DCT-based image retargeting in compressed domain. ICME 2014: 1-6 - [c2]Bahetiyaer Bare, Ke Li, Weiyi Wang, Bo Yan:
Learning to Assess Image Retargeting. ACM Multimedia 2014: 925-928 - [c1]Bo Yan, Xiaochu Yang, Ke Li:
Efficient Image Retargeting via Adaptive Pixel Fusion. ACM Multimedia 2014: 929-932
Coauthor Index
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