| Inferring human gaze from appearance via adaptive linear regression F Lu, Y Sugano, T Okabe, Y Sato Computer Vision (ICCV), 2011 IEEE International Conference on, 153-160, 2011 | 140 | 2011 |
| 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 | 129 | 2014 |
| A head pose-free approach for appearance-based gaze estimation F Lu, T Okabe, Y Sugano, Y Sato Proceedings of the 22nd British Machine Vision Conference (BMVC 2011), 2011 | 93 | 2011 |
| 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 | 74 | 2014 |
| Head pose-free appearance-based gaze sensing via eye image synthesis F Lu, Y Sugano, T Okabe, Y Sato Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 54 | 2012 |
| MBLLEN: Low-Light Image/Video Enhancement Using CNNs. F Lv, F Lu, J Wu, C Lim BMVC, 220, 2018 | 50 | 2018 |
| Uncalibrated photometric stereo for unknown isotropic reflectances F Lu, Y Matsushita, I Sato, T Okabe, Y Sato Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 50 | 2013 |
| Gaze estimation from eye appearance: A head pose-free method via eye image synthesis F Lu, Y Sugano, T Okabe, Y Sato IEEE Transactions on Image Processing 24 (11), 3680-3693, 2015 | 46 | 2015 |
| Teaching robots to do object assembly using multi-modal 3d vision W Wan, F Lu, Z Wu, K Harada Neurocomputing 259, 85-93, 2017 | 43 | 2017 |
| Quality assessment of 3D asymmetric view coding using spatial frequency dominance model F Lu, H Wang, X Ji, G Er 2009 3DTV Conference: The True Vision-Capture, Transmission and Display of …, 2009 | 42 | 2009 |
| 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 | 37 | 2018 |
| Look, perceive and segment: Finding the salient objects in images via two-stream fixation-semantic cnns X Chen, A Zheng, J Li, F Lu Proceedings of the IEEE International Conference on Computer Vision, 1050-1058, 2017 | 36 | 2017 |
| 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, 107332, 2020 | 33 | 2020 |
| VoxSegNet: Volumetric CNNs for semantic part segmentation of 3D shapes Z Wang, F Lu IEEE transactions on visualization and computer graphics, 2019 | 26 | 2019 |
| 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 | 26 | 2018 |
| Uncalibrated photometric stereo based on elevation angle recovery from BRDF symmetry of isotropic materials F Lu, I Sato, Y Sato Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 26 | 2015 |
| SymPS: BRDF symmetry guided photometric stereo for shape and light source estimation F Lu, X Chen, I Sato, Y Sato IEEE transactions on pattern analysis and machine intelligence 40 (1), 221-234, 2017 | 25 | 2017 |
| From Intensity Profile to Surface Normal: Photometric Stereo for Unknown Light Sources and Isotropic Reflectances F Lu, Y Matsushita, I Sato, T Okabe, Y Sato IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 | 24 | 2015 |
| Pathological evidence exploration in deep retinal image diagnosis Y Niu, L Gu, F Lu, F Lv, Z Wang, I Sato, Z Zhang, Y Xiao, X Dai, T Cheng Proceedings of the AAAI conference on artificial intelligence 33, 1093-1101, 2019 | 18 | 2019 |
| 3-Points Convex Hull Matching (3PCHM) for fast and robust point set registration J Fan, J Yang, F Lu, D Ai, Y Zhao, Y Wang Neurocomputing 194, 227-240, 2016 | 16 | 2016 |
Yoichi SatoProfessor, Institute of Industrial Science, The University of TokyoVerifierad e-postadress på iis.u-tokyo.ac.jp
