Feng Lu
Feng Lu
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MBLLEN: Low-Light Image/Video Enhancement Using CNNs.
F Lv, F Lu, J Wu, C Lim
BMVC, 220, 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
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
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
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
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
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
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
Gaze estimation by exploring two-eye asymmetry
Y Cheng, X Zhang, F Lu, Y Sato
IEEE Transactions on Image Processing 29, 5259-5272, 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, 2024
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
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
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
A head pose-free approach for appearance-based gaze estimation.
F Lu, T Okabe, Y Sugano, Y Sato
BMVC, 1-11, 2011
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
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
Gaze Estimation using Transformer
Y Cheng, F Lu
Proceedings of International Conference on Pattern Recognition (ICPR), 2022
Real-time semantic segmentation via multiply spatial fusion network
H Si, Z Zhang, F Lv, G Yu, F Lu
BMVC, 2020
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
CPGAN: Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis
J Liang, W Pei, F Lu
European Conference on Computer Vision, 491-508, 2020
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