| Multi-Label Image Recognition with Graph Convolutional Networks ZM Chen, XS Wei, P Wang, Y Guo IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 1373 | 2019 |
| Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification P Wang, K Han, XS Wei, L Zhang, L Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 332 | 2021 |
| Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks P Wang, Q Wu, J Cao, C Shen, L Gao, A Hengel IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 297 | 2019 |
| Two-stream 3-d convnet fusion for action recognition in videos with arbitrary size and length X Wang, L Gao, P Wang, X Sun, X Liu IEEE Transactions on Multimedia 20 (3), 634-644, 2017 | 272 | 2017 |
| RPC: a large-scale and fine-grained retail product checkout dataset XS Wei, Q Cui, L Yang, P Wang, L Liu, J Yang SCIENCE CHINA Information Sciences, 2022 | 197* | 2022 |
| 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 | 174 | 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, 2019 | 149 | 2019 |
| Anisotropic Convolutional Networks for 3D Semantic Scene Completion J Li, K Han, P Wang, Y Liu, X Yuan IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 143 | 2020 |
| Visual question answering with memory-augmented networks C Ma, C Shen, A Dick, Q Wu, P Wang, A Van den Hengel, I Reid IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 130 | 2018 |
| Multi-attention network for one shot learning P Wang, L Liu, C Shen, Z Huang, A Van Den Hengel, H Tao Shen IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 112 | 2017 |
| Pixel-wise Deep Function-mixture network for Spectral Super-resolution L Zhang, Z Lang, P Wang, W Wei, S Liao, L Shao, Y Zhang Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020 | 98 | 2020 |
| Learning Graph Convolutional Networks for Multi-Label Recognition and Applications Z Chen, XS Wei, P Wang, Y Guo IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021 | 95 | 2021 |
| Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks Y Liu, L Liu, P Wang, P Zhang, Y Lei European Conference on Computer Vision, 2020 | 90 | 2020 |
| Towards effective deep embedding for zero-shot learning L Zhang, P Wang, L Liu, C Shen, W Wei, Y Zhang, AVD Hengel IEEE Transactions on Circuits and Systems for Video Technology, 2020 | 90 | 2020 |
| Compositional model based fisher vector coding for image classification L Liu, P Wang, C Shen, L Wang, A Van Den Hengel, C Wang, HT Shen IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 39 …, 2017 | 71 | 2017 |
| Cops-Ref: A new Dataset and Task on Compositional Referring Expression Comprehension Z Chen, P Wang, L Ma, KY Wong, Q Wu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 70 | 2020 |
| Unsupervised domain adaptation using robust class-wise matching L Zhang, P Wang, W Wei, H Lu, C Shen, A van den Hengel, Y Zhang IEEE Transactions on Circuits and Systems for Video Technology 29 (5), 1339-1349, 2018 | 63 | 2018 |
| Revisiting prototypical network for cross domain few-shot learning F Zhou, P Wang, L Zhang, W Wei, Y Zhang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 53 | 2023 |
| Adaptive importance learning for improving lightweight image super-resolution network L Zhang, P Wang, C Shen, L Liu, W Wei, Y Zhang, A Hengel International Journal of Computer Vision (IJCV), 2019 | 49 | 2019 |
| Industrial IoT intrusion detection via evolutionary cost-sensitive learning and fog computing A Telikani, J Shen, J Yang, P Wang IEEE Internet of Things Journal, 2022 | 45 | 2022 |
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