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Shan Li 0001
Person information
- affiliation: Beijing University of Posts and Telecommunications, Pattern Recognition & Intelligent Systems Lab., China
Other persons with the same name
- Shan Li — disambiguation page
- Shan Li 0002
— Sichuan University, Business School, Chengdu, China
- Shan Li 0003 — Chinese University of Hong Kong, Hong Kong
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2020 – today
- 2024
- [j5]Lu Yang, Wenhe Jia, Shan Li, Qing Song
Deep Learning Technique for Human Parsing: A Survey and Outlook. Int. J. Comput. Vis. 132(8): 3270-3301 (2024) - [j4]Shan Li
Frequency-Based Matcher for Long-Tailed Semantic Segmentation. IEEE Trans. Multim. 26: 10395-10405 (2024) - [c13]Marina Neseem, Conor McCullough, Randy Hsin, Chas Leichner, Shan Li, In Suk Chong, Andrew G. Howard, Lukasz Lew, Sherief Reda, Ville-Mikko Rautio, Daniele Moro:
PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks. CVPR 2024: 15996-16005 - [i7]Marina Neseem, Conor McCullough, Randy Hsin, Chas Leichner, Shan Li, In Suk Chong, Andrew G. Howard, Lukasz Lew, Sherief Reda, Ville-Mikko Rautio, Daniele Moro:
PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks. CoRR abs/2404.00103 (2024) - 2023
- [i6]Lu Yang, Wenhe Jia, Shan Li, Qing Song:
Deep Learning Technique for Human Parsing: A Survey and Outlook. CoRR abs/2301.00394 (2023) - [i5]Pu Cao, Lu Yang, Dongxu Liu, Zhiwei Liu, Shan Li, Qing Song:
What Decreases Editing Capability? Domain-Specific Hybrid Refinement for Improved GAN Inversion. CoRR abs/2301.12141 (2023) - 2022
- [j3]Shan Li
A Deeper Look at Facial Expression Dataset Bias. IEEE Trans. Affect. Comput. 13(2): 881-893 (2022) - [j2]Shan Li
Deep Facial Expression Recognition: A Survey. IEEE Trans. Affect. Comput. 13(3): 1195-1215 (2022) - [c12]Urvang Joshi, Yue Chen, Debargha Mukherjee
Switchable CNN-Based Same-Resolution and Super-Resolution In-Loop Restoration for Next Generation Video Codecs. ICIP 2022: 1946-1950 - [i4]Cao Pu, Lu Yang, Dongxv Liu, Zhiwei Liu, Wenguan Wang
LSAP: Rethinking Inversion Fidelity, Perception and Editability in GAN Latent Space. CoRR abs/2209.12746 (2022) - 2021
- [c11]Martin Valdez-Vivas, Varun Sharma, Nick Stanisha, Shan Li, Luo Mi, Wei Jiang, Alex Kalinin, Josh Metzler:
Clockwork: A Delay-Based Global Scheduling Framework for More Consistent Landing Times in the Data Warehouse. KDD 2021: 3627-3637 - 2020
- [c10]Wenjing Yan, Shan Li, Chengtao Que, JiQuan Pei, Weihong Deng
RAF-AU Database: In-the-Wild Facial Expressions with Subjective Emotion Judgement and Objective AU Annotations. ACCV (6) 2020: 68-82 - [i3]Wenjing Yan, Shan Li, Chengtao Que, JiQuan Pei, Weihong Deng:
RAF-AU Database: In-the-Wild Facial Expressions with Subjective Emotion Judgement and Objective AU Annotations. CoRR abs/2008.05196 (2020)
2010 – 2019
- 2019
- [j1]Shan Li, Weihong Deng
Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition. IEEE Trans. Image Process. 28(1): 356-370 (2019) - [i2]Shan Li, Weihong Deng:
A Deeper Look at Facial Expression Dataset Bias. CoRR abs/1904.11150 (2019) - 2018
- [c9]Shan Li, Weihong Deng
Deep Emotion Transfer Network for Cross-database Facial Expression Recognition. ICPR 2018: 3092-3099 - [i1]Shan Li, Weihong Deng:
Deep Facial Expression Recognition: A Survey. CoRR abs/1804.08348 (2018) - 2017
- [c8]Shan Li, Weihong Deng, Junping Du:
Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild. CVPR 2017: 2584-2593 - [c7]Zhiwen Liu, Shan Li, Weihong Deng:
Boosting-POOF: Boosting Part Based One vs One Feature for Facial Expression Recognition in the Wild. FG 2017: 967-972 - 2016
- [c6]Zhiwen Liu, Shan Li, Weihong Deng
Real-World Facial Expression Recognition Using Metric Learning Method. CCBR 2016: 519-527 - [c5]Zhiwen Liu, Shan Li, Weihong Deng
Recognizing Compound Emotional Expression in Real-World Using Metric Learning Method. CCBR 2016: 528-536 - [c4]Yan Gao, Shan Li, Weihong Deng
Intensity Estimation of the Real-World Facial Expression. CCPR (1) 2016: 79-92 - [c3]Shan Li, Weihong Deng:
Real world expression recognition: A highly imbalanced detection problem. ICB 2016: 1-6 - 2015
- [c2]Zhongjun Wu, Shan Li, Weihong Deng:
Practical pose normalizaiton for pose-invariant face recognition. ACPR 2015: 116-120 - [c1]Zhenqi Xu, Shan Li, Weihong Deng:
Learning temporal features using LSTM-CNN architecture for face anti-spoofing. ACPR 2015: 141-145
Coauthor Index
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last updated on 2024-11-08 21:30 CET by the dblp team
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