Recommended

• [NI] Yihua Cheng, Haofei Wang, Yiwei Bao and Feng Lu*. Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark. arXiv:2104.12668, 2021. [arXiv] [Project: codes, data and benchmark]

Preprint

• [NI] Ze Yang, Haofei Wang and Feng Lu*. Assessment of Deep Learning-based Heart Rate Estimation using Remote Photoplethysmography under Different Illuminations. arXiv:2107.13193, 2021. [arXiv]
• [NI] Yihua Cheng, Yiwei Bao and Feng Lu*. PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation. arXiv:2103.13173, 2021.
• [NI] Mingjie Xu, Haofei Wang, Yunfei Liu, Feng Lu*. Vulnerability of Appearance-based Gaze Estimation. arXiv:2103.13134, 2021.
• [SI] Yunfei Liu, Chaoqun Zhuang and Feng Lu*. Unsupervised Two-Stage Anomaly Detection. arXiv:2103.11671, 2021. [Code]
• [SI] Yunfei Liu, Yu Li, Shaodi You and Feng Lu*. Semantic Guided Single Image Reflection Removal. arXiv:1907.11912, 2019.

Accepted for publication

• [SI] Mingfang Zhang, Yinqiang Zheng, Feng Lu*. Optical Flow in the Dark. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted 2021.
• [SI] Heng Guo, Zhipeng Mo, Boxin Shi, Feng Lu, Sai Kit Yeung, Ping Tan and Yasuyuki Matsushita. Patch-based Uncalibrated Photometric Stereo under Natural Illumination. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted 2021. [DOI: 10.1109/TPAMI.2021.3115229]
• [MI] Yuhao Niu, Lin Gu, Yitian Zhao, and Feng Lu*. Explainable Diabetic Retinopathy Detection and Retinal Image Generation. IEEE Journal of Biomedical and Health Informatics (JBHI), accepted 2021. [arXiv] [Code]
• [NI] Huangyue Yu, Minjie Cai, Yunfei Liu and Feng Lu*. First- And Third-person Video Co-analysis By Learning Spatial-temporal Joint Attention. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted 2020. [DOI: 10.1109/TPAMI.2020.3030048]

2021

• [SI] Feifan Lv, Yu Li and Feng Lu*. Attention Guided Low-light Image Enhancement with a Large Scale Low-light Simulation Dataset. International Journal of Computer Vision (IJCV), 129(7): 2175-2193, 2021. [Project]
• [SI] Sijia Wen, Yinqiang Zheng and Feng Lu*. Polarization Guided Specular Reflection Separation. IEEE Transactions on Image Processing (TIP), 30: 7280-7291, 2021.
• [SI] Sijia Wen, Yinqiang Zheng* and Feng Lu*. A Sparse Representation Based Joint Demosaicing Method for Single-Chip Polarized Color Sensor. IEEE Transactions on Image Processing (TIP), 30: 4171-4182, 2021. [Code]
• [MI] Xingjun Ma, Yuhao Niu, Lin Gu, Yisen Wang, Yitian Zhao, James Bailey and Feng Lu*. Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems. Pattern Recognition (PR), 110: 107332, 2021. [arXiv]
• [NI] Zhimin Wang, Haofei Wang, Huangyue Yu, and Feng Lu*. Interaction with Gaze, Gesture and Speech in a Flexibly Configurable Augmented Reality System. IEEE Transactions on Human-Machine Systems (THMS), 51(5): 524-534, 2021.
• [NI] Yunfei Liu, Ruicong Liu, Haofei Wang, Feng Lu*. Generalizing Gaze Estimation with Outlier-guided Collaborative Adaptation. IEEE International Conference on Computer Vision (ICCV), 2021. [arXiv] [Project]
• [NI] Zhimin Wang, Yuxin Zhao, Yunfei Liu, Feng Lu*. Edge-Guided Near-Eye Image Analysis for Head Mounted Displays. IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2021. [Oral]
• [SI] Yunfei Liu, Sijia Wen, Feng Lu*. 3D Photography with One-shot Portrait Relighting. IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Poster, 2021.
• [SI] Yunfei Liu, Haofei Wang, Yang Yue, Feng Lu*. Separating Content and Style for Unsupervised Image-to-Image Translation. British Machine Vision Conference (BMVC), 2021. [Code] [Project]

2020

• [NI] Yihua Cheng, Xucong Zhang, Feng Lu* and Yoichi Sato. Gaze Estimation by Exploring Two-Eye Asymmetry. IEEE Transactions on Image Processing (TIP), 29(1): 5259-5272, 2020. [PDF]
• [SI] Zongji Wang and Feng Lu*. VoxSegNet: Volumetric CNNs for Semantic Part Segmentation of 3D Shapes. IEEE Transactions on Visualization and Computer Graphics (TVCG), 26(9): 2919-2930, 2020.
• [NI] Yifei Huang, Minjie Cai, Zhenqiang Li, Feng Lu, Yoichi Sato. Mutual Context Network for Jointly Estimating Egocentric Gaze and Action. IEEE Transactions on Image Processing (TIP), 29: 7795-7806, 2020.
• [SI] Yunfei Liu, Yu Li, Shaodi You and Feng Lu*. Unsupervised Learning for Intrinsic Image Decomposition from a Single Image. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [Project]
• [SI] Yinqiang Zheng, Mingfang Zhang and Feng Lu*. Optical Flow in the Dark. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
• [NI] Minjie Cai*, Feng Lu* and Yoichi Sato. Generalizing Hand Segmentation in Egocentric Videos with Uncertainty-Guided Model Adaptation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
• [SI] Yunfei Liu and Feng Lu*. Separate In Latent Space: Unsupervised Single Image Layer Separation. AAAI Conference on Artificial Intelligence (AAAI), 2020. [Oral]
• [SI] Feifan Lv, Yinqiang Zheng, Yicheng Li and Feng Lu*. An Integrated Enhancement Solution for 24-hour Colorful Imaging. AAAI Conference on Artificial Intelligence (AAAI), 2020. [Oral]
• [NI] Yihua Cheng, Shiyao Huang, Fei Wang, Chen Qian and Feng Lu*. A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation. AAAI Conference on Artificial Intelligence (AAAI), 2020.
• [SI] Jiadong Liang, Wenjie Pei and Feng Lu*. CPGAN: Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis. European Conference on Computer Vision (ECCV), 2020. [Code]
• [SI] Yunfei Liu, Xingjun Ma, James Bailey and Feng Lu*. Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks. European Conference on Computer Vision (ECCV), 2020. [Project]
• [SI] Feifan Lv, Bo Liu and Feng Lu*. Fast Enhancement for Non-Uniform Illumination Images using Light-weight CNNs. ACM International Conference on Multimedia (ACM MM), 2020.
• [SI] Haiyang Si, Zhiqiang Zhang and Feng Lu*. Real-Time Semantic Segmentation via Multiple Spatial Fusion Network. British Machine Vision Conference (BMVC), 2020.
• [NI] Yiwei Bao, Yihua Cheng, Yunfei Liu and Feng Lu*. Adaptive Feature Fusion Network for Gaze Tracking in Mobile Tablets. International Conference on Pattern Recognition (ICPR), 2020. [arXiv]
• [NI] Zhimin Wang, Huangyue Yu, Haofei Wang, Zongji Wang and Feng Lu*. Comparing Single-modal and Multimodal Interaction in an Augmented Reality System. International Symposium on Mixed and Augmented Reality (ISMAR), Poster, 2020.

2019

• [SI] Chong Cao, Feng Lu*, Chen Li, Stephen Lin and Xukun Shen. Makeup Removal via Bidirectional Tunable De-makeup Network. IEEE Transactions on Multimedia (TMM), 21(11): 2750-2761, 2019.
• [NI] Minjie Cai, Feng Lu*, and Yue Gao. Desktop Action Recognition From First-Person Point-of-View. IEEE Transactions on Cybernetics (TC), 49(5): 1616-1628, 2019.
• [SI] Sijia Wen, Yinqiang Zheng, Feng Lu* and Qinping Zhao. Convolutional demosaicing network for joint chromatic and polarimetric imagery. Optics Letters, 44(22), 5646-5649, 2019. [Project]
• [SI] Feifan Lv, Yinqiang Zheng, Bohan Zhang and Feng Lu*. Turn a Silicon Camera into an InGaAs Camera. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
• [NI] Huangyue Yu, Minjie Cai, Yunfei Liu and Feng Lu*. What I See Is What You See: Joint Attention Learning for First and Third Person Video Co-analysis. ACM International Conference on Multimedia (ACM MM), 2019.
• [MI] Yuhao Niu, Lin Gu, Feng Lu*, Feifan Lv, Zongji Wang, Imari Sato, Zijian Zhang, Yangyan Xiao, Xunzhang Dai and Tingting Cheng. Pathological Evidence Exploration in Deep Retinal Image Diagnosis. AAAI Conference on Artificial Intelligence (AAAI), 2019.
• [MI] Bo Liu, Lin Gu and Feng Lu*. Unsupervised Ensemble Strategy for Retinal Vessel Segmentation. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.
• [SI] Zongji Wang and Feng Lu*. Single Image Intrinsic Decomposition with Discriminative Feature Encoding. IEEE International Conference on Computer Vision Workshop (ICCVW), 2019. [Project]
• [SI] Zhixiang Hao, Shaodi You, Yu Li, Kunming Li and Feng Lu*. Learning From Synthetic Photorealistic Raindrop for Single Image Raindrop Removal. IEEE International Conference on Computer Vision Workshop (ICCVW), 2019.

2018

• [SI] Feng Lu*, Xiaowu Chen*, Imari Sato and Yoichi Sato. SymPS: BRDF Symmetry Guided Photometric Stereo for Shape and Light Source Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 40(1): 221-234, 2018.
• [SI] Feixiang Lu, Bin Zhou, Feng Lu, Yu Zhang, Xiaowu Chen and Qinping Zhao. Reconstructing non-rigid object with large movement using a single depth camera. Computer Aided Geometric Design (CAGD), 64: 15-26, 2018.
• [NI] Yihua Cheng, Feng Lu* and Xucong Zhang. Appearance-Based Gaze Estimation via Evaluation-Guided Asymmetric Regression. European Conference on Computer Vision (ECCV), 2018. [Code]
• [SI] Zhipeng Mo, Boxin Shi, Feng Lu, Sai-Kit Yeung, and Yasuyuki Matsushita. Uncalibrated Photometric Stereo under Natural Illumination. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
• [SI] Feifan Lv, Feng Lu*, Jianhua Wu, and Chongsoon Lim. MBLLEN: Low-light Image/Video Enhancement Using CNNs. British Machine Vision Conference (BMVC), 2018. [Project] [Code]
• [SI] Zhixiang Hao, Yu Li, Shaodi You and Feng Lu*. Detail Preserving Depth Estimation from a Single Image Using Attention Guided Networks. International Conference on 3D Vision (3DV), 2018.

2017

• [NI] Feng Lu*, Xiaowu Chen*, and Yoichi Sato. Appearance-based gaze estimation via uncalibrated gaze pattern recovery. IEEE Transactions on Image Processing (TIP), Vol. 26, Isue 4, pp. 1543-1553, 2017.
• [SI] Feng Lu*, Lei He, Shaodi You, Xiaowu Chen*, and Zhixiang Hao. Identifying Surface BRDF from a Single 4D Light Field Image via Deep Neural Network. IEEE Journal of Selected Topics in Signal Processing (JSTSP), 11(7): 1047-1057. 2017.
• [NI] Weiwei Wan, Feng Lu, Zepei Wu, Kensuke Harada. Teaching Robots to Do Object Assembly using Multi-modal 3D Vision. Neurocomputing (NC), 259: 85-93, 2017.
• [SI] Xiaowu Chen, Anlin Zheng, Jia Li, Feng Lu. Look, Perceive and Segment: Finding the Salient Objects in Images via Two-Stream Fixation-Semantic CNNs. IEEE International Conference on Computer Vision (ICCV), 2017.

Before 2016 (researches @ U-Tokyo / Tsinghua University)

• [NI] Feng Lu, Yue Gao, Xiaowu Chen. Estimating 3D Gaze Directions Using Unlabeled Eye images via Synthetic Iris Appearance Fitting. IEEE Transactions on Multimedia (TMM), 2016.
• [NI] Weiwei Wan, Feng Lu*, and Rui Fukui. Error-tolerant Manipulation by Immobilization and Caging. Signal Processing (SP), 120: 721-730, 2016.
• [NI] Feng Lu, Xiaowu Chen. Person-independent eye gaze prediction from eye images using patch-based features. Neurocomputing (NC), 2016.
• [NI] Lumei Su, and Feng Lu*. Visual Facial Expression Modeling and Early Predicting from 3D Data via Subtle Feature Enhancing. Multimedia Tools and Applications (MTA), 75(20): 12563–12580, 2016.
• [SI] Jingfan Fan, Jian Yang, Feng Lu, Danni Ai, Yitian Zhao, Yongtian Wang. 3-Points Convex Hull Matching (3PCHM) for Fast and Robust Point Set registration. Neurocomputing (NC), 194: 227-240, 2016.
• [SI] Feng Lu*, Yasuyuki Matsushita, Imari Sato, Takahiro Okabe, Yoichi Sato. From intensity profile to surface normal: photometric stereo for unknown light sources and isotropic reflectances. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015.
• [NI] Feng Lu*, Takahiro Okabe, Yusuke Sugano, Yoichi Sato. Gaze Estimation from Eye Appearance: A Head Pose-Free Method via Eye Image Synthesis. IEEE Transactions on Image Processing (TIP), 2015.
• [SI] Feng Lu*, Imari Sato, and Yoichi Sato. Uncalibrated Photometric Stereo Based on Elevation Angle Recovery from BRDF Symmetry of Isotropic Materials. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), June 2015.
• [NI] Feng Lu*, Yusuke Sugano, Takahiro Okabe, and Yoichi Sato. Adaptive Linear Regression for Appearance-Based Gaze Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 36, No. 10, pp. 2033-2046, October 2014.
• [NI] Feng Lu*, Takahiro Okabe, Yusuke Sugano, and Yoichi Sato. Learning gaze biases with head motion for head pose-free gaze estimation. Image and Vision Computing (IVC), vol 32, issue 3, pp. 169-179, March 2014.
• [SI] Feng Lu*, Yasuyuki Matsushita, Imari Sato, Takahiro Okabe and Yoichi Sato. Uncalibrated photometric stereo for unknown isotropic reflectances. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013), July 2013.
• [NI] Feng Lu*, Yusuke Sugano, Takahiro Okabe and Yoichi Sato. Head Pose-Free Appearance-Based Gaze Sensing via Eye Image Synthesis. IAPR International Conference on Pattern Recognition (ICPR 2012), pp. 1008-1011, November 2012.
• [NI] Feng Lu*, Yusuke Sugano, Takahiro Okabe, and Yoichi Sato. Inferring Human Gaze from Appearance viai Adaptive Linear Regression. IEEE International Conference on Computer Vision (ICCV2011), November 2011.
• [NI] Feng Lu*, Yusuke Sugano, Takahiro Okabe, and Yoichi Sato. A Head Pose-free Approach for Appearance-based Gaze Estimation. British Machine Vision Conference (BMVC2011), August 2011.
• [SI] Feng Lu*, Xiangyang Ji, Qionghai Dai, Guihua Er. Multi-view stereo reconstruction with high dynamic range texture. Asian Conference on Computer Vision (ACCV), 2010.
• [SI] Feng Lu*, Haoqian Wang, Xiangyang Ji, and Guihua Er. Bit-depth scalable coding using a perfect picture and adaptive neighboring filter. 3DTV-Conference, 2009.
• [SI] Feng Lu, Guihua Er, Qionghai Dai, Hongjiang Xiao. Quality assessment of 3D asymmetric view coding using spatial frequency dominance model. Tsinghua Science & Technology, 2009.