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Ke Li 0010

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affiliation: Fudan University, Shanghai Key Laboratory of Intelligent Information Processing, China

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Ke Li — disambiguation page
Ke Li 0001 — 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 0004 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, China
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 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)
Ke Li 0021 — ETH Zurich, Department of Information Technology and Electrical Engineering, Zürich, Switzerland
Ke Li 0022 — New York University, Courant Institute, NY, USA
Ke Li 0023 — Meta AI, Menlo Park, CA, USA (and 1 more)
Ke Li 0024 — Xidian University, School of Computer Science and Technology, Key Laboratory of Smart Human-Computer Interaction and Wearable Technology, Shaanxi, China

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2020 – today

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2021
[c13]
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  - conf/icmcs/LiBZ0021
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Jichun Li, Bahetiyaer Bare, Shili Zhou, Bo Yan, Ke Li:
Organ-Branched CNN for Robust Face Super-Resolution. ICME 2021: 1-6

2010 – 2019

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2019
[j7]
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Bahetiyaer Bare, Bo Yan, Chenxi Ma, Ke Li:
Real-time video super-resolution via motion convolution kernel estimation. Neurocomputing 367: 236-245 (2019)
[j6]
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Bo Yan, Bahetiyaer Bare, Chenxi Ma, Ke Li, Weimin Tan:
Deep Objective Quality Assessment Driven Single Image Super-Resolution. IEEE Trans. Multim. 21(11): 2957-2971 (2019)
[c12]
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Jichun Li, Ke Li, Bo Yan:
Scale-Aware Deep Network with Hole Convolution for Blind Motion Deblurring. ICME 2019: 658-663
2018
[c11]
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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]
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Ke Li, Bahetiyaer Bare, Bo Yan, Bailan Feng, Chunfeng Yao:
Face Hallucination Based on Key Parts Enhancement. ICASSP 2018: 1378-1382
[c9]
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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]
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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]
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Bo Yan, Weimin Tan, Ke Li, Qi Tian:
Codebook Guided Feature-Preserving for Recognition-Oriented Image Retargeting. IEEE Trans. Image Process. 26(5): 2454-2465 (2017)
[c8]
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Ke Li, Bahetiyaer Bare, Bo Yan:
An efficient deep convolutional neural networks model for compressed image deblocking. ICME 2017: 1320-1325
[c7]
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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]
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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]
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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]
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Yinchu Chen, Ke Li, Bo Yan:
Saliency-Based Objective Quality Assessment of Tone-Mapped Images. PCM (1) 2016: 550-558
2015
[j1]
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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]
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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]
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Bahetiyaer Bare, Ke Li, Bo Yan, Xiaoyu Qi, Hamid Gharavi:
Pixel fusion based stereo image retargeting. ICME 2015: 1-6
2014
[c3]
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Ke Li, Bo Yan, Liu Liu, Kairan Sun:
Efficient DCT-based image retargeting in compressed domain. ICME 2014: 1-6
[c2]
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Bahetiyaer Bare, Ke Li, Weiyi Wang, Bo Yan:
Learning to Assess Image Retargeting. ACM Multimedia 2014: 925-928
[c1]
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Bo Yan, Xiaochu Yang, Ke Li:
Efficient Image Retargeting via Adaptive Pixel Fusion. ACM Multimedia 2014: 929-932

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