Feng Lu
Feng Lu
Professor @ Beihang University; The University of Tokyo
Verified email at ut-vision.org - Homepage
Title
Cited by
Cited by
Year
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
1372011
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
1232014
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
932011
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
712014
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
522012
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
472013
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
442015
Teaching robots to do object assembly using multi-modal 3d vision
W Wan, F Lu, Z Wu, K Harada
Neurocomputing 259, 85-93, 2017
422017
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
422009
MBLLEN: Low-Light Image/Video Enhancement Using CNNs.
F Lv, F Lu, J Wu, C Lim
BMVC, 220, 2018
382018
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
332018
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
332017
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
252015
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
242020
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
222017
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
222015
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
212018
VoxSegNet: Volumetric CNNs for semantic part segmentation of 3D shapes
Z Wang, F Lu
IEEE transactions on visualization and computer graphics, 2019
202019
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
172019
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
162016
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