| Fvqa: Fact-based visual question answering P Wang, Q Wu, C Shen, A Dick, A Van Den Hengel IEEE transactions on pattern analysis and machine intelligence 40 (10), 2413 …, 2017 | 447 | 2017 |
| Ask me anything: Free-form visual question answering based on knowledge from external sources Q Wu, P Wang, C Shen, A Dick, A Van Den Hengel Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 433 | 2016 |
| Image captioning and visual question answering based on attributes and external knowledge Q Wu, C Shen, P Wang, A Dick, A Van Den Hengel IEEE transactions on pattern analysis and machine intelligence 40 (6), 1367-1381, 2017 | 419 | 2017 |
| Visual question answering: A survey of methods and datasets Q Wu, D Teney, P Wang, C Shen, A Dick, A Van Den Hengel Computer Vision and Image Understanding 163, 21-40, 2017 | 395 | 2017 |
| Reading car license plates using deep neural networks H Li, P Wang, M You, C Shen Image and Vision Computing 72, 14-23, 2018 | 371* | 2018 |
| Toward end-to-end car license plate detection and recognition with deep neural networks H Li, P Wang, C Shen IEEE Transactions on Intelligent Transportation Systems 20 (3), 1126-1136, 2018 | 352 | 2018 |
| Show, attend and read: A simple and strong baseline for irregular text recognition H Li, P Wang, C Shen, G Zhang Proceedings of the AAAI conference on artificial intelligence 33 (01), 8610-8617, 2019 | 338 | 2019 |
| Explicit knowledge-based reasoning for visual question answering P Wang, Q Wu, C Shen, A Hengel, A Dick arXiv preprint arXiv:1511.02570, 2015 | 249 | 2015 |
| Towards end-to-end text spotting with convolutional recurrent neural networks H Li, P Wang, C Shen Proceedings of the IEEE international conference on computer vision, 5238-5246, 2017 | 213 | 2017 |
| Say as you wish: Fine-grained control of image caption generation with abstract scene graphs S Chen, Q Jin, P Wang, Q Wu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 198 | 2020 |
| NAS-FCOS: Fast neural architecture search for object detection N Wang, Y Gao, H Chen, P Wang, Z Tian, C Shen, Y Zhang proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 190 | 2020 |
| Hyperspectral classification based on lightweight 3-D-CNN with transfer learning H Zhang, Y Li, Y Jiang, P Wang, Q Shen, C Shen IEEE Transactions on Geoscience and Remote Sensing 57 (8), 5813-5828, 2019 | 163 | 2019 |
| Are you talking to me? reasoned visual dialog generation through adversarial learning Q Wu, P Wang, C Shen, I Reid, A Van Den Hengel Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 126 | 2018 |
| The vqa-machine: Learning how to use existing vision algorithms to answer new questions P Wang, Q Wu, C Shen, A van den Hengel Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 102 | 2017 |
| Pushing the limits of deep cnns for pedestrian detection Q Hu, P Wang, C Shen, A van den Hengel, F Porikli IEEE Transactions on Circuits and Systems for Video Technology 28 (6), 1358-1368, 2017 | 90 | 2017 |
| A robust attentional framework for license plate recognition in the wild L Zhang, P Wang, H Li, Z Li, C Shen, Y Zhang IEEE Transactions on Intelligent Transportation Systems 22 (11), 6967-6976, 2020 | 86 | 2020 |
| MobileCount: An efficient encoder-decoder framework for real-time crowd counting P Wang, C Gao, Y Wang, H Li, Y Gao Neurocomputing 407, 292-299, 2020 | 62 | 2020 |
| A holistic representation guided attention network for scene text recognition L Yang, P Wang, H Li, Z Li, Y Zhang Neurocomputing 414, 67-75, 2020 | 60 | 2020 |
| Structured multimodal attentions for textvqa C Gao, Q Zhu, P Wang, H Li, Y Liu, A Van den Hengel, Q Wu IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9603 …, 2021 | 59 | 2021 |
| A simple and robust convolutional-attention network for irregular text recognition P Wang, L Yang, H Li, Y Deng, C Shen, Y Zhang arXiv preprint arXiv:1904.01375 6 (2), 1, 2019 | 59 | 2019 |
Chunhua ShenZhejiang UniversityVerified email at zju.edu.cn
