| Exploring temporal preservation networks for precise temporal action localization K Yang, P Qiao, D Li, S Lv, Y Dou Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 29 | 2018 |
| Learning non-local image diffusion for image denoising P Qiao, Y Dou, W Feng, R Li, Y Chen Proceedings of the 25th ACM international conference on Multimedia, 1847-1855, 2017 | 18 | 2017 |
| Fast and accurate Poisson denoising with trainable nonlinear diffusion W Feng, P Qiao, Y Chen IEEE transactions on cybernetics 48 (6), 1708-1719, 2017 | 10 | 2017 |
| Temporal pyramid relation network for video-based gesture recognition K Yang, R Li, P Qiao, Q Wang, D Li, Y Dou 2018 25th IEEE International Conference on Image Processing (ICIP), 3104-3108, 2018 | 6 | 2018 |
| Depth enhancement via non-local means filter K Yang, Y Dou, X Chen, S Lv, P Qiao 2015 Seventh International Conference on Advanced Computational Intelligence …, 2015 | 5 | 2015 |
| Exploring frame segmentation networks for temporal action localization K Yang, X Shen, P Qiao, S Li, D Li, Y Dou Journal of Visual Communication and Image Representation 61, 296-302, 2019 | 4 | 2019 |
| Variational single image interpolation with time-varying regularization P Qiao, Y Chen, Y Dou Signal Processing: Image Communication 58, 258-269, 2017 | 4 | 2017 |
| Visual tree convolutional neural network in image classification Y Liu, Y Dou, R Jin, P Qiao 2018 24th International Conference on Pattern Recognition (ICPR), 758-763, 2018 | 3 | 2018 |
| Image denoising via multiscale nonlinear diffusion models W Feng, P Qiao, X Xi, Y Chen SIAM Journal on Imaging Sciences 10 (3), 1234-1257, 2017 | 3 | 2017 |
| If-ttn: Information fused temporal transformation network for video action recognition K Yang, P Qiao, D Li, Y Dou arXiv preprint arXiv:1902.09928, 2019 | 2 | 2019 |
| Deep image clustering using convolutional autoencoder embedding with inception-like block Q Wang, J Xu, R Li, P Qiao, K Yang, S Li, Y Dou 2018 25th IEEE International Conference on Image Processing (ICIP), 2356-2360, 2018 | 2 | 2018 |
| Exploring the defects of the average precision and its influence Y DOU, P QIAO, R JIN SCIENTIA SINICA Informationis 49 (10), 1369-1382, 2019 | 1 | 2019 |
| TPC: Temporal preservation convolutional networks for precise temporal action localization K Yang, P Qiao, D Li, S Lv, Y Dou arXiv: 1708.03280, 2017 | 1 | 2017 |
| Detection of regions with the least impact on true and fake image classification through reinforcement learning W Li, P Qiao, Y Dou Journal of Physics: Conference Series 1693 (1), 012176, 2020 | | 2020 |
| Objectness Consistent Representation for Weakly Supervised Object Detection K Yang, P Zhang, P Qiao, Z Wang, D Li, Y Dou Proceedings of the 28th ACM International Conference on Multimedia, 1688-1696, 2020 | | 2020 |
| Beyond top-N accuracy indicator: a comprehensive evaluation indicator of CNN models in image classification Y Liu, Y Dou, P Qiao IET Computer Vision 14 (6), 407-414, 2020 | | 2020 |
| Attentional Fused Temporal Transformation Network for Video Action Recognition K Yang, Z Wang, H Dai, T Shen, P Qiao, X Niu, JJD Li, Y Dou ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | | 2020 |
| Recommending the most confusing images to the annotators via confusion graph for the large-scale face dataset annotation L Zhao, P Qiao, Y Dou Eleventh International Conference on Graphics and Image Processing (ICGIP …, 2020 | | 2020 |
| Rethinking Segmentation Guidance for Weakly Supervised Object Detection K Yang, P Zhang, P Qiao, Z Wang, H Dai, T Shen, D Li, Y Dou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | | 2020 |
| Aircraft Segmentation Based On Deep Learning framework: from extreme points to remote sensing image segmentation L Zhao, P Qiao, Y Dou 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1362-1366, 2019 | | 2019 |
Ke YANGNational Innovation Institute of Defense Technology; National University of Defense TechnologyVerified email at nudt.edu.cn
