Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Li Liu

Li Liu

University of Oulu, National University of Defense Technology

Multi-modal Entity Alignment in Hyperbolic Space


Jun 07, 2021
Hao Guo, Jiuyang Tang, Weixin Zeng, Xiang Zhao, Li Liu

Figure 1 for Multi-modal Entity Alignment in Hyperbolic Space
Figure 2 for Multi-modal Entity Alignment in Hyperbolic Space
Figure 3 for Multi-modal Entity Alignment in Hyperbolic Space
Figure 4 for Multi-modal Entity Alignment in Hyperbolic Space
* 24 pages,5 figures; 
  Access Paper or Ask Questions

Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification


Apr 30, 2021
Yichao Yan, Jie Qin1, Jiaxin Chen, Li Liu, Fan Zhu, Ying Tai, Ling Shao

Figure 1 for Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
Figure 2 for Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
Figure 3 for Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
Figure 4 for Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
* CVPR 2020 
  Access Paper or Ask Questions

Learning Multi-Attention Context Graph for Group-Based Re-Identification


Apr 29, 2021
Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei-Shi Zheng, Xiaokang Yang, Ling Shao

Figure 1 for Learning Multi-Attention Context Graph for Group-Based Re-Identification
Figure 2 for Learning Multi-Attention Context Graph for Group-Based Re-Identification
Figure 3 for Learning Multi-Attention Context Graph for Group-Based Re-Identification
Figure 4 for Learning Multi-Attention Context Graph for Group-Based Re-Identification

  Access Paper or Ask Questions

Anchor-Free Person Search


Mar 22, 2021
Yichao Yan, Jingpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao

Figure 1 for Anchor-Free Person Search
Figure 2 for Anchor-Free Person Search
Figure 3 for Anchor-Free Person Search
Figure 4 for Anchor-Free Person Search
* Accepted by CVPR 2021 
  Access Paper or Ask Questions

Autonomous Navigation of an Ultrasound Probe Towards Standard Scan Planes with Deep Reinforcement Learning


Mar 01, 2021
Keyu Li, Jian Wang, Yangxin Xu, Hao Qin, Dongsheng Liu, Li Liu, Max Q. -H. Meng

Figure 1 for Autonomous Navigation of an Ultrasound Probe Towards Standard Scan Planes with Deep Reinforcement Learning
Figure 2 for Autonomous Navigation of an Ultrasound Probe Towards Standard Scan Planes with Deep Reinforcement Learning
Figure 3 for Autonomous Navigation of an Ultrasound Probe Towards Standard Scan Planes with Deep Reinforcement Learning
Figure 4 for Autonomous Navigation of an Ultrasound Probe Towards Standard Scan Planes with Deep Reinforcement Learning
* Accepted at ICRA 2021. Copyright may be transferred without notice, after which this version may no longer be accessible 
  Access Paper or Ask Questions

Deep Learning for Scene Classification: A Survey


Feb 20, 2021
Delu Zeng, Minyu Liao, Mohammad Tavakolian, Yulan Guo, Bolei Zhou, Dewen Hu, Matti Pietikäinen, Li Liu

Figure 1 for Deep Learning for Scene Classification: A Survey
Figure 2 for Deep Learning for Scene Classification: A Survey
Figure 3 for Deep Learning for Scene Classification: A Survey
Figure 4 for Deep Learning for Scene Classification: A Survey

  Access Paper or Ask Questions

Boost AI Power: Data Augmentation Strategies with unlabelled Data and Conformal Prediction, a Case in Alternative Herbal Medicine Discrimination with Electronic Nose


Feb 05, 2021
Li Liu, Xianghao Zhan, Rumeng Wu, Xiaoqing Guan, Zhan Wang, Wei Zhang, You Wang, Zhiyuan Luo, Guang Li

Figure 1 for Boost AI Power: Data Augmentation Strategies with unlabelled Data and Conformal Prediction, a Case in Alternative Herbal Medicine Discrimination with Electronic Nose
Figure 2 for Boost AI Power: Data Augmentation Strategies with unlabelled Data and Conformal Prediction, a Case in Alternative Herbal Medicine Discrimination with Electronic Nose
Figure 3 for Boost AI Power: Data Augmentation Strategies with unlabelled Data and Conformal Prediction, a Case in Alternative Herbal Medicine Discrimination with Electronic Nose
Figure 4 for Boost AI Power: Data Augmentation Strategies with unlabelled Data and Conformal Prediction, a Case in Alternative Herbal Medicine Discrimination with Electronic Nose

  Access Paper or Ask Questions

Deep Image Retrieval: A Survey


Feb 03, 2021
Wei Chen, Yu Liu, Weiping Wang, Erwin Bakker, Theodoros Georgiou, Paul Fieguth, Li Liu, Michael S. Lew

Figure 1 for Deep Image Retrieval: A Survey
Figure 2 for Deep Image Retrieval: A Survey
Figure 3 for Deep Image Retrieval: A Survey
Figure 4 for Deep Image Retrieval: A Survey
* 20 pages, 11 figures 
  Access Paper or Ask Questions

How to Train Your Agent to Read and Write


Jan 04, 2021
Li Liu, Mengge He, Guanghui Xu, Mingkui Tan, Qi Wu

Figure 1 for How to Train Your Agent to Read and Write
Figure 2 for How to Train Your Agent to Read and Write
Figure 3 for How to Train Your Agent to Read and Write
Figure 4 for How to Train Your Agent to Read and Write

  Access Paper or Ask Questions

Effective Sample Pair Generation for Ultrasound Video Contrastive Representation Learning


Nov 25, 2020
Yixiong Chen, Chunhui Zhang, Li Liu, Cheng Feng, Changfeng Dong, Yongfang Luo, Xiang Wan

Figure 1 for Effective Sample Pair Generation for Ultrasound Video Contrastive Representation Learning
Figure 2 for Effective Sample Pair Generation for Ultrasound Video Contrastive Representation Learning
Figure 3 for Effective Sample Pair Generation for Ultrasound Video Contrastive Representation Learning
Figure 4 for Effective Sample Pair Generation for Ultrasound Video Contrastive Representation Learning

  Access Paper or Ask Questions

Towards Class-Specific Unit


Nov 22, 2020
Runkai Zheng, Zhijia Yu, Yinqi Zhang, Chris Ding, Hei Victor Cheng, Li Liu

Figure 1 for Towards Class-Specific Unit
Figure 2 for Towards Class-Specific Unit
Figure 3 for Towards Class-Specific Unit
Figure 4 for Towards Class-Specific Unit

  Access Paper or Ask Questions

A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges


Nov 17, 2020
Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul Fieguth, Xiaochun Cao, Abbas Khosravi, U Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi

Figure 1 for A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Figure 2 for A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Figure 3 for A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Figure 4 for A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

  Access Paper or Ask Questions

Learning to Respond with Your Favorite Stickers: A Framework of Unifying Multi-Modality and User Preference in Multi-Turn Dialog


Nov 05, 2020
Shen Gao, Xiuying Chen, Li Liu, Dongyan Zhao, Rui Yan

Figure 1 for Learning to Respond with Your Favorite Stickers: A Framework of Unifying Multi-Modality and User Preference in Multi-Turn Dialog
Figure 2 for Learning to Respond with Your Favorite Stickers: A Framework of Unifying Multi-Modality and User Preference in Multi-Turn Dialog
Figure 3 for Learning to Respond with Your Favorite Stickers: A Framework of Unifying Multi-Modality and User Preference in Multi-Turn Dialog
Figure 4 for Learning to Respond with Your Favorite Stickers: A Framework of Unifying Multi-Modality and User Preference in Multi-Turn Dialog
* Accepted by TOIS. arXiv admin note: substantial text overlap with arXiv:2003.04679 
  Access Paper or Ask Questions

Multi-Modal Active Learning for Automatic Liver Fibrosis Diagnosis based on Ultrasound Shear Wave Elastography


Nov 02, 2020
Lufei Gao, Ruisong Zhou, Changfeng Dong, Cheng Feng, Zhen Li, Xiang Wan, Li Liu

Figure 1 for Multi-Modal Active Learning for Automatic Liver Fibrosis Diagnosis based on Ultrasound Shear Wave Elastography
Figure 2 for Multi-Modal Active Learning for Automatic Liver Fibrosis Diagnosis based on Ultrasound Shear Wave Elastography
Figure 3 for Multi-Modal Active Learning for Automatic Liver Fibrosis Diagnosis based on Ultrasound Shear Wave Elastography
Figure 4 for Multi-Modal Active Learning for Automatic Liver Fibrosis Diagnosis based on Ultrasound Shear Wave Elastography

  Access Paper or Ask Questions

FTBNN: Rethinking Non-linearity for 1-bit CNNs and Going Beyond


Oct 29, 2020
Zhuo Su, Linpu Fang, Deke Guo, Duwen Hu, Matti Pietikäinen, Li Liu

Figure 1 for FTBNN: Rethinking Non-linearity for 1-bit CNNs and Going Beyond
Figure 2 for FTBNN: Rethinking Non-linearity for 1-bit CNNs and Going Beyond
Figure 3 for FTBNN: Rethinking Non-linearity for 1-bit CNNs and Going Beyond
Figure 4 for FTBNN: Rethinking Non-linearity for 1-bit CNNs and Going Beyond

  Access Paper or Ask Questions

Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition


Oct 26, 2020
Gang Wang, Qunxi Dong, Jianfeng Wu, Yi Su, Kewei Chen, Qingtang Su, Xiaofeng Zhang, Jinguang Hao, Tao Yao, Li Liu, Caiming Zhang, Richard J Caselli, Eric M Reiman, Yalin Wang

Figure 1 for Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition
Figure 2 for Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition
Figure 3 for Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition
Figure 4 for Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition
* Accepted by Medical Image Analysis 
  Access Paper or Ask Questions

Bi-Real Net V2: Rethinking Non-linearity for 1-bit CNNs and Going Beyond


Oct 19, 2020
Zhuo Su, Linpu Fang, Deke Guo, Duwen Hu, Matti Pietikäinen, Li Liu

Figure 1 for Bi-Real Net V2: Rethinking Non-linearity for 1-bit CNNs and Going Beyond
Figure 2 for Bi-Real Net V2: Rethinking Non-linearity for 1-bit CNNs and Going Beyond
Figure 3 for Bi-Real Net V2: Rethinking Non-linearity for 1-bit CNNs and Going Beyond
Figure 4 for Bi-Real Net V2: Rethinking Non-linearity for 1-bit CNNs and Going Beyond

  Access Paper or Ask Questions

New Ideas and Trends in Deep Multimodal Content Understanding: A Review


Oct 16, 2020
Wei Chen, Weiping Wang, Li Liu, Michael S. Lew

Figure 1 for New Ideas and Trends in Deep Multimodal Content Understanding: A Review
Figure 2 for New Ideas and Trends in Deep Multimodal Content Understanding: A Review
Figure 3 for New Ideas and Trends in Deep Multimodal Content Understanding: A Review
Figure 4 for New Ideas and Trends in Deep Multimodal Content Understanding: A Review
* Accepted by Neurocomputing 
  Access Paper or Ask Questions

Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition


Oct 13, 2020
Jianrong Wang, Tong Wu, Shanyu Wang, Mei Yu, Qiang Fang, Ju Zhang, Li Liu

Figure 1 for Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition
Figure 2 for Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition
Figure 3 for Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition
Figure 4 for Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition

  Access Paper or Ask Questions

Group Whitening: Balancing Learning Efficiency and Representational Capacity


Sep 28, 2020
Lei Huang, Li Liu, Fan Zhu, Ling Shao

Figure 1 for Group Whitening: Balancing Learning Efficiency and Representational Capacity
Figure 2 for Group Whitening: Balancing Learning Efficiency and Representational Capacity
Figure 3 for Group Whitening: Balancing Learning Efficiency and Representational Capacity
Figure 4 for Group Whitening: Balancing Learning Efficiency and Representational Capacity
* V1: rejected by NeurIPS 2020. The main issue is that Assumption 1 not rigorous, thus the analysis based on which. Code available at: https://github.com/huangleiBuaa/GroupWhitening 
  Access Paper or Ask Questions

Normalization Techniques in Training DNNs: Methodology, Analysis and Application


Sep 27, 2020
Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao

Figure 1 for Normalization Techniques in Training DNNs: Methodology, Analysis and Application
Figure 2 for Normalization Techniques in Training DNNs: Methodology, Analysis and Application
* 20 pages 
  Access Paper or Ask Questions

Semi-Supervised Active Learning for COVID-19 Lung Ultrasound Multi-symptom Classification


Sep 09, 2020
Lei Liu, Wentao Lei, Yongfang Luo, Cheng Feng, Xiang Wan, Li Liu

Figure 1 for Semi-Supervised Active Learning for COVID-19 Lung Ultrasound Multi-symptom Classification
Figure 2 for Semi-Supervised Active Learning for COVID-19 Lung Ultrasound Multi-symptom Classification
Figure 3 for Semi-Supervised Active Learning for COVID-19 Lung Ultrasound Multi-symptom Classification
Figure 4 for Semi-Supervised Active Learning for COVID-19 Lung Ultrasound Multi-symptom Classification

  Access Paper or Ask Questions

A Real-time Contribution Measurement Method for Participants in Federated Learning


Sep 08, 2020
Boyi Liu, Bingjie Yan, Yize Zhou, Jun Wang, Li Liu, Yuhan Zhang, Xiaolan Nie

Figure 1 for A Real-time Contribution Measurement Method for Participants in Federated Learning
Figure 2 for A Real-time Contribution Measurement Method for Participants in Federated Learning
Figure 3 for A Real-time Contribution Measurement Method for Participants in Federated Learning
Figure 4 for A Real-time Contribution Measurement Method for Participants in Federated Learning

  Access Paper or Ask Questions

Counterfactual-based minority oversampling for imbalanced classification


Aug 21, 2020
Hao Luo, Li Liu

Figure 1 for Counterfactual-based minority oversampling for imbalanced classification
Figure 2 for Counterfactual-based minority oversampling for imbalanced classification
Figure 3 for Counterfactual-based minority oversampling for imbalanced classification
Figure 4 for Counterfactual-based minority oversampling for imbalanced classification

  Access Paper or Ask Questions

Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection


Jul 14, 2020
Cong Chen, Shouyang Dong, Ye Tian, Kunlin Cao, Li Liu, Yuanhao Guo

Figure 1 for Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection
Figure 2 for Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection
Figure 3 for Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection
Figure 4 for Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection
* 11 papges, 3 figures, preprint for submission 
  Access Paper or Ask Questions