| Spatiotemporal cnn for video object segmentation K Xu, L Wen, G Li, L Bo, Q Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 102 | 2019 |
| Learning self-supervised space-time CNN for fast video style transfer K Xu, L Wen, G Li, H Qi, L Bo, Q Huang IEEE Transactions on Image Processing 30, 2501-2512, 2021 | 18 | 2021 |
| Self-supervised deep triplenet for video object segmentation K Xu, L Wen, G Li, Q Huang IEEE Transactions on Multimedia 23, 3530-3539, 2020 | 16 | 2020 |
| Accurate and fast compressed video captioning Y Shen, X Gu, K Xu, H Fan, L Wen, L Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 7 | 2023 |
| AutoTransition: Learning to recommend video transition effects Y Shen, L Zhang, K Xu, X Jin European Conference on Computer Vision, 285-300, 2022 | 7 | 2022 |
| Edge guided generation network for video prediction K Xu, G Li, H Xu, W Zhang, Q Huang 2018 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2018 | 4 | 2018 |
| Image inpainting based on sparse representation with dictionary pre-clustering K Xu, N Wang, X Gao Pattern Recognition: 7th Chinese Conference, CCPR 2016, Chengdu, China …, 2016 | 4 | 2016 |
| Self Supervised Progressive Network for High Performance Video Object Segmentation G Li, D Hong, K Xu, B Zhong, L Su, Z Han, Q Huang IEEE Transactions on Neural Networks and Learning Systems, 2022 | 2 | 2022 |
| Siamese dynamic mask estimation network for fast video object segmentation D Hong, G Li, K Xu, L Su, Q Huang 2020 25th International Conference on Pattern Recognition (ICPR), 9476-9482, 2021 | 1 | 2021 |
Qingming HuangUniversity of the Chinese Academy of SciencesVerified email at ucas.ac.cn
