| Upflow: Upsampling pyramid for unsupervised optical flow learning K Luo, C Wang, S Liu, H Fan, J Wang, J Sun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 100 | 2021 |
| Learning optical flow with adaptive graph reasoning A Luo, F Yang, K Luo, X Li, H Fan, S Liu Proceedings of the AAAI conference on artificial intelligence 36 (2), 1890-1898, 2022 | 53 | 2022 |
| Weakly supervised semantic segmentation by a class-level multiple group cosegmentation and foreground fusion strategy F Meng, K Luo, H Li, Q Wu, X Xu IEEE Transactions on Circuits and Systems for Video Technology 30 (12), 4823 …, 2019 | 45 | 2019 |
| Oiflow: Occlusion-inpainting optical flow estimation by unsupervised learning S Liu, K Luo, N Ye, C Wang, J Wang, B Zeng IEEE Transactions on Image Processing 30, 6420-6433, 2021 | 42* | 2021 |
| Ctrl-room: Controllable text-to-3d room meshes generation with layout constraints C Fang, Y Dong, K Luo, X Hu, R Shrestha, P Tan arXiv preprint arXiv:2310.03602, 2023 | 29 | 2023 |
| Realflow: Em-based realistic optical flow dataset generation from videos Y Han, K Luo, A Luo, J Liu, H Fan, G Luo, S Liu European conference on computer vision, 288-305, 2022 | 27 | 2022 |
| Content-aware unsupervised deep homography estimation and its extensions S Liu, N Ye, C Wang, J Zhang, L Jia, K Luo, J Wang, J Sun IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 2849-2863, 2022 | 26 | 2022 |
| Semi-supervised pixel-level scene text segmentation by mutually guided network C Wang, S Zhao, L Zhu, K Luo, Y Guo, J Wang, S Liu IEEE Transactions on Image Processing 30, 8212-8221, 2021 | 22 | 2021 |
| Gyroflow: Gyroscope-guided unsupervised optical flow learning H Li, K Luo, S Liu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 21 | 2021 |
| Accflow: Backward accumulation for long-range optical flow G Wu, X Liu, K Luo, X Liu, Q Zheng, S Liu, X Jiang, G Zhai, W Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 18 | 2023 |
| Asflow: Unsupervised optical flow learning with adaptive pyramid sampling S Liu, K Luo, A Luo, C Wang, F Meng, B Zeng IEEE Transactions on Circuits and Systems for Video Technology 32 (7), 4282-4295, 2021 | 17 | 2021 |
| Learning optical flow from event camera with rendered dataset X Luo, K Luo, A Luo, Z Wang, P Tan, S Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 13 | 2023 |
| Iterative reconstruction based on latent diffusion model for sparse data reconstruction L He, H Yan, M Luo, K Luo, W Wang, W Du, H Chen, H Yang, Y Zhang arXiv preprint arXiv:2307.12070, 2023 | 11 | 2023 |
| Gyroflow+: Gyroscope-guided unsupervised deep homography and optical flow learning H Li, K Luo, B Zeng, S Liu International Journal of Computer Vision 132 (6), 2331-2349, 2024 | 10 | 2024 |
| Weakly supervised semantic segmentation by multiple group cosegmentation K Luo, F Meng, Q Wu, H Li 2018 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2018 | 5 | 2018 |
| GenN2N: Generative NeRF2NeRF Translation X Liu, H Xue, K Luo, P Tan, L Yi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
| The Elliptic Energy Loss for Rotated Object Detection in Aerial Images C Zhang, K Luo, F Meng, Q Wu 2023 IEEE International Conference on Image Processing (ICIP), 3384-3388, 2023 | 2 | 2023 |
| GLOCAL: A self-supervised learning framework for global and local motion estimation Y Zheng, K Luo, S Liu, Z Li, Y Xiang, L Wu, B Zeng, CW Chen Pattern Recognition Letters 178, 91-97, 2024 | 1 | 2024 |
| A CNN-based segmentation model for segmenting foreground by a probability map K Luo, F Meng, Q Wu, W Shi, L Guo 2017 International Symposium on Intelligent Signal Processing and …, 2017 | 1 | 2017 |
| PointRegGPT: Boosting 3D Point Cloud Registration Using Generative Point-Cloud Pairs for Training S Chen, H Xu, H Li, K Luo, G Liu, CW Fu, P Tan, S Liu European Conference on Computer Vision, 272-289, 2025 | | 2025 |
Shuaicheng LiuUniversity of Electronic Science and Technology of China在 uestc.edu.cn 的电子邮件经过验证
