| 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 | 1724 | 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 | 511 | 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 | 484 | 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 | 303 | 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 | 248 | 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 |
Chunhua ShenZhejiang UniversityZweryfikowany adres z zju.edu.cn
