متابعة
Lingqiao Liu
Lingqiao Liu
Associate Professor at the University of Adelaide
بريد إلكتروني تم التحقق منه على adelaide.edu.au - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
17432019
In defense of soft-assignment coding‏
L Liu, L Wang, X Liu‏
2011 International Conference on Computer Vision, 2486-2493, 2011‏
6112011
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
5612016
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
5072017
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
4872017
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
4492017
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
4242017
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
2972018
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
2632015
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
2472022
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
2352016
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
2132023
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
1972017
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
1942018
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
1892019
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
1732016
RPC: A large-scale retail product checkout dataset‏
XS Wei, Q Cui, L Yang, P Wang, L Liu‏
arXiv preprint arXiv:1901.07249, 2019‏
1682019
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
1472019
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
1392021
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
1332018
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مقالات 1–20