Lingqiao Liu

Процитировано

	Все	Начиная с 2020 г.
Статистика цитирования	10863	8292
h-индекс	47	42
i10-индекс	100	89

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Chunhua ShenZhejiang UniversityПодтвержден адрес электронной почты в домене zju.edu.cn
Anton van den HengelDirector of the Centre for Augmented Reasoning at AIML.Подтвержден адрес электронной почты в домене adelaide.edu.au
Lei WangSchool of Computing and Information Technology, University of WollongongПодтвержден адрес электронной почты в домене uow.edu.au
Luping ZhouSchool of Electrical and Computer Engineering, University of SydneyПодтвержден адрес электронной почты в домене sydney.edu.au
Bohan ZhuangPI of ZIP Lab; Zhejiang UniversityПодтвержден адрес электронной почты в домене zju.edu.cn
Qi WuAssociate Professor, University of Adelaide, Adelaide, AustraliaПодтвержден адрес электронной почты в домене adelaide.edu.au
Anthony DickComputer Science, University of AdelaideПодтвержден адрес электронной почты в домене adelaide.edu.au
Yao LiMicrosoftПодтвержден адрес электронной почты в домене adelaide.edu.au
Xinwang LiuSenior Member of IEEE and CCF, NUDTПодтвержден адрес электронной почты в домене nudt.edu.cn
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceПодтвержден адрес электронной почты в домене shanghaitech.edu.cn
Philip O. OgunbonaProfessor of Computer Science, University of WollongongПодтвержден адрес электронной почты в домене uow.edu.au
Jian Zhang, PhDProfessor at University of Technology Sydney, AustraliaПодтвержден адрес электронной почты в домене uts.edu.au
Chenping HouNational University of Defense TechnologyПодтвержден адрес электронной почты в домене nudt.edu.cn
Jun LiuInfinia MLПодтвержден адрес электронной почты в домене asu.edu
Huan LiuRegents Professor, Arizona State UniversityПодтвержден адрес электронной почты в домене asu.edu
peng wangSchool of Engineering, Faculty of Engineering and Built Environment The University of NewcastleПодтвержден адрес электронной почты в домене uon.edu.au

Lingqiao Liu

Associate Professor at the University of Adelaide

Подтвержден адрес электронной почты в домене adelaide.edu.au - Главная страница

computer vision machine learning


Название По числу цитат По году По названию	Процитировано Процитировано	Год
Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection D Gong, L Liu, V Le, B Saha, MR Mansour, S Venkatesh, A Hengel Proceedings of the IEEE/CVF international conference on computer vision …, 2019	1729	2019
In defense of soft-assignment coding L Liu, L Wang, X Liu 2011 International Conference on Computer Vision, 2486-2493, 2011	611	2011
What value do explicit high level concepts have in vision to language problems? Q Wu, C Shen, L Liu, A Dick, A Van Den Hengel Proceedings of the IEEE conference on computer vision and pattern …, 2016	559	2016
Graph-structured representations for visual question answering D Teney, L Liu, A van Den Hengel Proceedings of the IEEE conference on computer vision and pattern …, 2017	512	2017
From motion blur to motion flow: A deep learning solution for removing heterogeneous motion blur D Gong, J Yang, L Liu, Y Zhang, I Reid, C Shen, A Van Den Hengel, Q Shi Proceedings of the IEEE conference on computer vision and pattern …, 2017	485	2017
Adversarial posenet: A structure-aware convolutional network for human pose estimation Y Chen, C Shen, XS Wei, L Liu, J Yang Proceedings of the IEEE international conference on computer vision, 1212-1221, 2017	454	2017
Deep learning features at scale for visual place recognition Z Chen, A Jacobson, N Sünderhauf, B Upcroft, L Liu, C Shen, I Reid, ... 2017 IEEE international conference on robotics and automation (ICRA), 3223-3230, 2017	430	2017
Towards effective low-bitwidth convolutional neural networks B Zhuang, C Shen, M Tan, L Liu, I Reid Proceedings of the IEEE conference on computer vision and pattern …, 2018	302	2018
The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification L Liu, C Shen, A Van den Hengel Proceedings of the IEEE conference on computer vision and pattern …, 2015	270	2015
Self-supervised learning of adversarial example: Towards good generalizations for deepfake detection L Chen, Y Zhang, Y Song, L Liu, J Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	250	2022
Less is more: zero-shot learning from online textual documents with noise suppression R Qiao, L Liu, C Shen, A Van Den Hengel Proceedings of the IEEE conference on computer vision and pattern …, 2016	236	2016
Zegclip: Towards adapting clip for zero-shot semantic segmentation Z Zhou, Y Lei, B Zhang, L Liu, Y Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	209	2023
Towards context-aware interaction recognition for visual relationship detection B Zhuang, L Liu, C Shen, I Reid Proceedings of the IEEE international conference on computer vision, 589-598, 2017	197	2017
Seeing deeply and bidirectionally: A deep learning approach for single image reflection removal J Yang, D Gong, L Liu, Q Shi Proceedings of the european conference on computer vision (ECCV), 654-669, 2018	194	2018
Structured binary neural networks for accurate image classification and semantic segmentation B Zhuang, C Shen, M Tan, L Liu, I Reid Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	192	2019
RPC: A large-scale retail product checkout dataset XS Wei, Q Cui, L Yang, P Wang, L Liu arXiv preprint arXiv:1901.07249, 2019	169	2019
Temporal pyramid pooling-based convolutional neural network for action recognition P Wang, Y Cao, C Shen, L Liu, HT Shen IEEE Transactions on Circuits and Systems for Video Technology 27 (12), 2613 …, 2016	169	2016
Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples XS Wei, P Wang, L Liu, C Shen, J Wu IEEE Transactions on Image Processing 28 (12), 6116-6125, 2019	146	2019
Feature encoding with autoencoders for weakly supervised anomaly detection Y Zhou, X Song, Y Zhang, F Liu, C Zhu, L Liu IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2454-2465, 2021	139	2021
Learning context flexible attention model for long-term visual place recognition Z Chen, L Liu, I Sa, Z Ge, M Chli IEEE Robotics and Automation Letters 3 (4), 4015-4022, 2018	134	2018

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