Multi-Label Image Recognition with Graph Convolutional Networks ZM Chen, XS Wei, P Wang, Y Guo Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019 | 1227 | 2019 |
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification P Wang, K Han, XS Wei, L Zhang, L Wang Computer Vision and Pattern Recognition, 2021 | 281 | 2021 |
Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks P Wang, Q Wu, J Cao, C Shen, L Gao, A Hengel Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019 | 277 | 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 | 270 | 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 | 182* | 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 | 166 | 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 | 139 | 2019 |
Visual question answering with memory-augmented networks C Ma, C Shen, A Dick, Q Wu, P Wang, A Van den Hengel, I Reid Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 127 | 2018 |
Anisotropic Convolutional Networks for 3D Semantic Scene Completion J Li, K Han, P Wang, Y Liu, X Yuan Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2020 | 117 | 2020 |
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 | 111 | 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 AAAI, 2020 | 85 | 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 | 80 | 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, 2021 | 77 | 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 | 75 | 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 39 (12), 2335 …, 2017 | 69 | 2017 |
Cops-Ref: A new Dataset and Task on Compositional Referring Expression Comprehension Z Chen, P Wang, L Ma, KY Wong, Q Wu Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2020 | 62 | 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 | 61 | 2018 |
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 on Computer Vision, 2019 | 47 | 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 | 38 | 2022 |
Improving performance and efficiency of Graph Neural Networks by injective aggregation W Dong, J Wu, X Zhang, Z Bai, P Wang, M Woźniak Knowledge-Based Systems 254, 109616, 2022 | 33 | 2022 |