| MBLLEN: Low-Light Image/Video Enhancement Using CNNs. F Lv, F Lu, J Wu, C Lim BMVC, 220, 2018 | 997 | 2018 |
| Reflection backdoor: A natural backdoor attack on deep neural networks Y Liu, X Ma, J Bailey, F Lu European Conference on Computer Vision, 182-199, 2020 | 840 | 2020 |
| Understanding adversarial attacks on deep learning based medical image analysis systems X Ma, Y Niu, L Gu, Y Wang, Y Zhao, J Bailey, F Lu Pattern Recognition 110, 107332, 2021 | 695 | 2021 |
| Attention guided low-light image enhancement with a large scale low-light simulation dataset F Lv, Y Li, F Lu International Journal of Computer Vision 129 (7), 2175-2193, 2021 | 396 | 2021 |
| Advancing image understanding in poor visibility environments: A collective benchmark study W Yang, Y Yuan, W Ren, J Liu, WJ Scheirer, Z Wang, T Zhang, Q Zhong, ... IEEE Transactions on Image Processing 29, 5737-5752, 2020 | 370 | 2020 |
| Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark Y Cheng, H Wang, Y Bao, F Lu IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (12), 7509 …, 2024 | 294 | 2024 |
| Adaptive linear regression for appearance-based gaze estimation F Lu, Y Sugano, T Okabe, Y Sato IEEE transactions on pattern analysis and machine intelligence 36 (10), 2033 …, 2014 | 287 | 2014 |
| Appearance-based gaze estimation via evaluation-guided asymmetric regression Y Cheng, F Lu, X Zhang Proceedings of the European conference on computer vision (ECCV), 100-115, 2018 | 219 | 2018 |
| Gaze estimation by exploring two-eye asymmetry Y Cheng, X Zhang, F Lu, Y Sato IEEE Transactions on Image Processing 29, 5259-5272, 2020 | 207 | 2020 |
| A coarse-to-fine adaptive network for appearance-based gaze estimation Y Cheng, S Huang, F Wang, C Qian, F Lu Proceedings of the AAAI conference on artificial intelligence 34 (07), 10623 …, 2020 | 201 | 2020 |
| Gaze Estimation using Transformer Y Cheng, F Lu Proceedings of International Conference on Pattern Recognition (ICPR), 2022 | 192 | 2022 |
| Inferring human gaze from appearance via adaptive linear regression F Lu, Y Sugano, T Okabe, Y Sato 2011 International Conference on Computer Vision, 153-160, 2011 | 176 | 2011 |
| VoxSegNet: Volumetric CNNs for semantic part segmentation of 3D shapes Z Wang, F Lu IEEE transactions on visualization and computer graphics 26 (9), 2919-2930, 2019 | 163 | 2019 |
| Unsupervised learning for intrinsic image decomposition from a single image Y Liu, Y Li, S You, F Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 146 | 2020 |
| Detail preserving depth estimation from a single image using attention guided networks Z Hao, Y Li, S You, F Lu 2018 International Conference on 3D Vision (3DV), 304-313, 2018 | 137 | 2018 |
| Puregaze: Purifying gaze feature for generalizable gaze estimation Y Cheng, Y Bao, F Lu Proceedings of the AAAI conference on artificial intelligence (AAAI), 2022 | 122 | 2022 |
| Learning gaze biases with head motion for head pose-free gaze estimation F Lu, T Okabe, Y Sugano, Y Sato Image and Vision Computing 32 (3), 169-179, 2014 | 122 | 2014 |
| A head pose-free approach for appearance-based gaze estimation. F Lu, T Okabe, Y Sugano, Y Sato BMVC, 1-11, 2011 | 121 | 2011 |
| Mutual context network for jointly estimating egocentric gaze and action Y Huang, M Cai, Z Li, F Lu, Y Sato IEEE Transactions on Image Processing 29, 7795-7806, 2020 | 103 | 2020 |
| Adaptive feature fusion network for gaze tracking in mobile tablets Y Bao, Y Cheng, Y Liu, F Lu 2020 25th International Conference on Pattern Recognition (ICPR), 9936-9943, 2021 | 99 | 2021 |
Yunfei LiuInternational Digital Economy Academy (IDEA)Verified email at buaa.edu.cn
