Lingqiao Liu

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Chunhua ShenZhejiang UniversityDirección de correo verificada de zju.edu.cn
Anton van den HengelDirector of the Centre for Augmented Reasoning at AIML.Dirección de correo verificada de adelaide.edu.au
Lei WangSchool of Computing and Information Technology, University of WollongongDirección de correo verificada de uow.edu.au
Bohan ZhuangDirector of ZIP LabDirección de correo verificada de monash.edu
Luping ZhouSchool of Electrical and Computer Engineering, University of SydneyDirección de correo verificada de sydney.edu.au
Qi WuAssociate Professor, University of Adelaide, Adelaide, AustraliaDirección de correo verificada de adelaide.edu.au
Anthony DickComputer Science, University of AdelaideDirección de correo verificada de adelaide.edu.au
Yao LiMicrosoftDirección de correo verificada de adelaide.edu.au
Xinwang LiuSenior Member of IEEE and CCF, NUDTDirección de correo verificada de nudt.edu.cn
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceDirección de correo verificada de shanghaitech.edu.cn
Philip O. OgunbonaProfessor of Computer Science, University of WollongongDirección de correo verificada de uow.edu.au
Jian Zhang, PhDProfessor at University of Technology Sydney, AustraliaDirección de correo verificada de uts.edu.au
Chenping HouNational University of Defense TechnologyDirección de correo verificada de nudt.edu.cn
Jun LiuInfinia MLDirección de correo verificada de asu.edu
Huan LiuRegents Professor, Arizona State UniversityDirección de correo verificada de asu.edu
peng wangSchool of Engineering, Faculty of Engineering and Built Environment The University of NewcastleDirección de correo verificada de uon.edu.au

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Lingqiao Liu

Associate Professor at the University of Adelaide

Dirección de correo verificada de adelaide.edu.au - Página principal

computer vision machine learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	1309	2019
In defense of soft-assignment coding L Liu, L Wang, X Liu 2011 International Conference on Computer Vision, 2486-2493, 2011	606	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	531	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	465	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	433	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	413	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	383	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	265	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	259	2015
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	224	2016
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	185	2017
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	170	2019
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	166	2018
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	161	2016
RPC: A large-scale retail product checkout dataset XS Wei, Q Cui, L Yang, P Wang, L Liu arXiv preprint arXiv:1901.07249, 2019	147	2019
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	127	2022
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	127	2019
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	115	2018
Mid-level deep pattern mining Y Li, L Liu, C Shen, A van den Hengel Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	115	2015
Multi-attention network for one shot learning P Wang, L Liu, C Shen, Z Huang, A Van Den Hengel, H Tao Shen proceedings of the IEEE conference on computer vision and pattern …, 2017	109	2017

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