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Yao Lu 0001
Person information
- affiliation: Beijing Institute of Technology, School of Computer Science, Beijing Laboratory of Intelligent Information Technology, China
- affiliation (PhD 2003): Gunma University, Department of Electronic Engineering, Kiryu, Japan
Other persons with the same name
- Yao Lu — disambiguation page
- Yao Lu 0002 — University of Tokyo, Department of Complexity Science and Engineering, Japan (and 1 more)
- Yao Lu 0003 — National University of Defense Technology, College of Computer, Changsha, China
- Yao Lu 0004 — Guizhou Normal University, Technology Engineering Centre of Manufacturing Service and Knowledge Engineering, Guiyang, China (and 1 more)
- Yao Lu 0005 — Tianjin University, School of Electrical and Information Engineering, China
- Yao Lu 0006 — Google (and 1 more)
- Yao Lu 0007 — Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China (and 1 more)
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2020 – today
- 2024
- [j26]Haoxiang Wang, Xiaoping Che, Enyao Chang, Chenxin Qu, Yao Lu, Zhenlin Wei:
How to set safety boundary in virtual reality: A dynamic approach based on user motion prediction. Comput. Animat. Virtual Worlds 35(1) (2024) - [c70]Peiqi Xia, Yao Lu, Sijia Zhang, Shunzhou Wang, Ziqi Wang, Wang Xia:
Revisiting Large Kernel Convolution for Light Field Image Angular Super-Resolution. ICME 2024: 1-6 - [i4]Wang xia, Yao Lu, Shunzhou Wang, Ziqi Wang, Peiqi Xia, Tianfei Zhou:
LFMamba: Light Field Image Super-Resolution with State Space Model. CoRR abs/2406.12463 (2024) - 2022
- [j25]Shunzhou Wang, Tianfei Zhou, Yao Lu, Huijun Di:
Contextual Transformation Network for Lightweight Remote-Sensing Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [c69]Shunzhou Wang, Tianfei Zhou, Yao Lu, Huijun Di:
Detail-Preserving Transformer for Light Field Image Super-resolution. AAAI 2022: 2522-2530 - [c68]Yan Wang, Yao Lu, Shunzhou Wang, Wenyao Zhang, Zijian Wang:
Local-Global Feature Aggregation for Light Field Image Super-Resolution. ICASSP 2022: 2160-2164 - [c67]Zijian Wang, Yao Lu:
Multi-Granularity Aggregation Transformer for Light Field Image Super-Resolution. ICIP 2022: 261-265 - [c66]Yanbei Sun, Yao Lu, Haowei Lu, Qingjie Zhao, Shunzhou Wang:
Multimodal Unsupervised Image-to-Image Translation Without Independent Style Encoder. MMM (1) 2022: 624-636 - [i3]Shunzhou Wang, Tianfei Zhou, Yao Lu, Huijun Di:
Detail-Preserving Transformer for Light Field Image Super-Resolution. CoRR abs/2201.00346 (2022) - 2021
- [j24]Zijian Wang, Yao Lu:
Light Field Image Super-Resolution via Mutual Attention Guidance. IEEE Access 9: 129022-129031 (2021) - [j23]Zijian Wang, Yao Lu, Weiqi Li, Shunzhou Wang, Xuebo Wang, Xiaozhen Chen:
Single image super-resolution with attention-based densely connected module. Neurocomputing 453: 876-884 (2021) - [c65]Zijian Wang, Yao Lu, Qingxuan Shi:
Edge Guided Attention Based Densely Connected Network for Single Image Super-Resolution. ICONIP (3) 2021: 632-643 - [c64]Lihua Lu, Yao Lu, Shunzhou Wang:
Learning Multi-level Interaction Relations and Feature Representations for Group Activity Recognition. MMM (1) 2021: 617-628 - [c63]Zijian Wang, Yao Lu, Yani Zhang, Haowei Lu, Shunzhou Wang, Binglu Wang:
LF-MAGNet: Learning Mutual Attention Guidance of Sub-Aperture Images for Light Field Image Super-Resolution. PRCV (3) 2021: 105-116 - [c62]Haowei Lu, Yao Lu, Gongping Li, Yanbei Sun, Shunzhou Wang, Yugang Li:
Scale-Aware Distillation Network for Lightweight Image Super-Resolution. PRCV (3) 2021: 128-139 - 2020
- [j22]Lin Zhang, Yao Lu:
Video Object Segmentation by Latent Outcome Regression. IEEE Access 8: 30355-30367 (2020) - [j21]Xiaozhen Chen, Xuebo Wang, Yao Lu, Weiqi Li, Zijian Wang, Zhuowei Huang:
RBPNET: An asymptotic Residual Back-Projection Network for super-resolution of very low-resolution face image. Neurocomputing 376: 119-127 (2020) - [j20]Shunzhou Wang, Yao Lu, Tianfei Zhou, Huijun Di, Lihua Lu, Lin Zhang:
SCLNet: Spatial context learning network for congested crowd counting. Neurocomputing 404: 227-239 (2020) - [j19]Lihua Lu, Yao Lu, Ruizhe Yu, Huijun Di, Lin Zhang, Shunzhou Wang:
GAIM: Graph Attention Interaction Model for Collective Activity Recognition. IEEE Trans. Multim. 22(2): 524-539 (2020) - [c61]Yujun Xie, Yao Lu, Shunzhou Wang:
RSANet: Deep Recurrent Scale-Aware Network for Crowd Counting. ICIP 2020: 1531-1535 - [c60]Gongping Li, Yao Lu, Lihua Lu, Ziwei Wu, Xuebo Wang, Shunzhou Wang:
Semi-Blind Super-Resolution with Kernel-Guided Feature Modification. ICME Workshops 2020: 1-6 - [c59]Ziwei Wu, Yao Lu, Gongping Li, Shunzhou Wang, Xuebo Wang, Zijian Wang:
Blind Super-Resolution with Kernel-Aware Feature Refinement. PRCV (1) 2020: 65-78
2010 – 2019
- 2019
- [j18]Lin Zhang, Yao Lu, Lihua Lu, Tianfei Zhou:
Refined video segmentation through global appearance regression. Neurocomputing 334: 59-67 (2019) - [j17]Lihua Lu, Huijun Di, Yao Lu, Lin Zhang, Shunzhou Wang:
Spatio-temporal attention mechanisms based model for collective activity recognition. Signal Process. Image Commun. 74: 162-174 (2019) - [j16]Jimmy T. Mbelwa, Qingjie Zhao, Yao Lu, Hao Liu, Fasheng Wang, Mercy Mbise:
Objectness-based smoothing stochastic sampling and coherence approximate nearest neighbor for visual tracking. Vis. Comput. 35(3): 371-384 (2019) - [c58]Yujun Xie, Yao Lu, Shuang Gu:
RGB-D Object Tracking with Occlusion Detection. CIS 2019: 11-15 - [c57]Ying Zhao, Yao Lu, Shunzhou Wang:
Multi-view Human Action Recognition by Cell Summary Descriptor and Decision Fusion. ICCPR 2019: 354-362 - [c56]Danlu Chen, Lihua Lu, Yao Lu, Ruizhe Yu, Shunzhou Wang, Lin Zhang, Tingxi Liu:
Cross-Domain Scene Text Detection via Pixel and Image-Level Adaptation. ICONIP (5) 2019: 135-143 - [c55]Xuebo Wang, Yao Lu, Xiaozhen Chen, Weiqi Li, Zijian Wang:
RBPNET: An Asymptotic Residual Back-Projection Network for Super Resolution of Very Low Resolution Face Image. ICONIP (2) 2019: 175-186 - [c54]Xiaozhen Chen, Yao Lu, Xuebo Wang, Weiqi Li, Zijian Wang:
Accurate Single Image Super-Resolution Using Deep Aggregation Network. ICONIP (2) 2019: 187-198 - [c53]Weiqi Li, Yao Lu, Xuebo Wang, Xiaozhen Chen, Zijian Wang:
ADSRNet: Attention-Based Densely Connected Network for Image Super-Resolution. PRCV (3) 2019: 272-282 - [c52]Xuebo Wang, Yao Lu, Xiaozhen Chen, Weiqi Li, Zijian Wang:
Asymmetric Pyramid Based Super Resolution from Very Low Resolution Face Image. PRCV (2) 2019: 694-702 - [c51]Ruizhe Yu, Shunzhou Wang, Yao Lu, Huijun Di, Lin Zhang, Lihua Lu:
SAF: Semantic Attention Fusion Mechanism for Pedestrian Detection. PRICAI (2) 2019: 523-533 - 2018
- [j15]Lihua Lu, Huijun Di, Yao Lu, Lin Zhang, Shunzhou Wang:
A two-level attention-based interaction model for multi-person activity recognition. Neurocomputing 322: 195-205 (2018) - [j14]Jimmy T. Mbelwa, Qingjie Zhao, Yao Lu, Fasheng Wang, Mercy Mbise:
Visual tracking using objectness-bounding box regression and correlation filters. J. Electronic Imaging 27(2): 023011 (2018) - [c50]Haoyu Wang, Yao Lu:
Soccer Video Super-Resolution via Sub-Pixel Convolutional Neural Network. IJCNN 2018: 1-8 - [c49]Lijing Zhang, Yao Lu, Ge Song, Hanfeng Zheng:
RC-CNN: Reverse Connected Convolutional Neural Network for Accurate Player Detection. PRICAI 2018: 438-446 - 2017
- [j13]Qingxuan Shi, Huijun Di, Yao Lu, Feng Lv, Xuedong Tian:
Video pose estimation with global motion cues. Neurocomputing 219: 269-279 (2017) - [j12]Ying Zhao, Huijun Di, Jian Zhang, Yao Lu, Feng Lv, Yufang Li:
Region-based Mixture Models for human action recognition in low-resolution videos. Neurocomputing 247: 1-15 (2017) - [j11]Tianfei Zhou, Yao Lu, Huijun Di:
Locality-Constrained Collaborative Model for Robust Visual Tracking. IEEE Trans. Circuits Syst. Video Technol. 27(2): 313-325 (2017) - [c48]Jianwu Li, Tianfei Zhou, Yao Lu:
Learning to generate video object segment proposals. ICME 2017: 787-792 - [c47]Shuang Gu, Yao Lu, Lin Zhang, Jian Zhang:
RGB-D Tracking Based on Kernelized Correlation Filter with Deep Features. ICONIP (3) 2017: 105-113 - [c46]Tingxi Liu, Yao Lu, Xiaoyu Lei, Lijing Zhang, Haoyu Wang, Wei Huang, Zijian Wang:
Soccer Video Event Detection Using 3D Convolutional Networks and Shot Boundary Detection via Deep Feature Distance. ICONIP (2) 2017: 440-449 - [c45]Jianqiang Xu, Yao Lu:
Robust Visual Tracking Based on Multi-channel Compressive Features. MMM (1) 2017: 341-352 - [c44]Lin Zhang, Yao Lu, Tianfei Zhou:
Automatic Foreground Seeds Discovery for Robust Video Saliency Detection. PCM (2) 2017: 89-97 - [c43]Xiaoyu Lei, Yao Lu, Tingxi Liu, Xiaoxue Shi:
Semantic Segmentation Using Fully Convolutional Networks and Random Walk with Prediction Prior. PCM (2) 2017: 129-138 - [c42]Xiaoxue Shi, Yao Lu, Tianfei Zhou, Xiaoyu Lei:
Spectral Context Matching for Video Object Segmentation Under Occlusion. PCM (2) 2017: 337-346 - 2016
- [j10]Qirun Huo, Jianwu Li, Yao Lu, Ziye Yan:
Removing ring artifacts in CBCT images via L0 smoothing. Int. J. Imaging Syst. Technol. 26(4): 284-294 (2016) - [j9]Ming Qin, Yao Lu, Huijun Di, Wei Huang:
A Background Basis Selection-Based Foreground Detection Method. IEEE Trans. Multim. 18(7): 1283-1296 (2016) - [c41]Javaria Ikram, Yao Lu, Jianwu Li, Nie Hui:
Face hallucination scheme based on singular value content metric for K-NN selection and an iterative refining in a modified feature space. ICIP 2016: 429-433 - [c40]Qingxuan Shi, Huijun Di, Yao Lu, Ming Qin, Xuedong Tian:
Video pose estimation via medium granularity graphical model with spatial-temporal symmetric constraint part model. ICIP 2016: 1299-1303 - [c39]Jinwu Liu, Yao Lu, Tianfei Zhou:
Instance significance guided multiple instance boosting for robust visual tracking. ICIP 2016: 1694-1698 - [c38]Ying Zhao, Huijun Di, Jian Zhang, Yao Lu, Feng Lv:
Recognizing human actions from low-resolution videos by region-based mixture models. ICME 2016: 1-6 - [c37]Tianfei Zhou, Yao Lu, Huijun Di, Jian Zhang:
Video object segmentation aggregation. ICME 2016: 1-6 - [c36]Javaria Ikram, Yao Lu, Jianwu Li, Nie Hui:
Face Hallucination Using Correlative Residue Compensation in a Modified Feature Space. ICONIP (2) 2016: 98-107 - [c35]Qirun Huo, Jianwu Li, Yao Lu, Ziye Yan:
Removing Ring Artifacts in CBCT Images Using Smoothing Based on Relative Total Variation. ICONIP (1) 2016: 501-509 - [c34]Nie Hui, Yao Lu, Javaria Ikram:
Face Hallucination via Convolution Neural Network. ICTAI 2016: 485-489 - [c33]Haohao Jiang, Yao Lu, Jing Xue:
Automatic Soccer Video Event Detection Based on a Deep Neural Network Combined CNN and RNN. ICTAI 2016: 490-494 - [c32]Jing Xue, Yao Lu, Haohao Jiang:
Abnormal Event Detection and Localization by Using Sparse Coding and Reconstruction. PCM (2) 2016: 306-314 - 2015
- [j8]Tianfei Zhou, Yao Lu, Feng Lv, Huijun Di, Qingjie Zhao, Jian Zhang:
Abrupt motion tracking via nearest neighbor field driven stochastic sampling. Neurocomputing 165: 350-360 (2015) - [j7]Ziye Yan, Jianwu Li, Yao Lu, Hongxia Yan, Yanfeng Zhao:
Super resolution in CT. Int. J. Imaging Syst. Technol. 25(1): 92-101 (2015) - [c31]Wei Zhao, Yao Lu, Haohao Jiang, Wei Huang:
Event detection in soccer videos using shot focus identification. ACPR 2015: 341-345 - [c30]Yanan Zhang, Yao Lu:
Robust Object Tracking Enhanced by Correction Dictionary. CIS 2015: 239-242 - [c29]Huijun Di, Qingxuan Shi, Feng Lv, Ming Qin, Yao Lu:
Contour Flow: Middle-Level Motion Estimation by Combining Motion Segmentation and Contour Alignment. ICCV 2015: 4355-4363 - [c28]Qingxuan Shi, Huijun Di, Yao Lu, Feng Lv:
Human pose estimation with global motion cues. ICIP 2015: 442-446 - [c27]Tianfei Zhou, Yao Lu, Yanan Zhang:
Graph regularized discriminant analysis and its application to face recognition. ICIP 2015: 2020-2024 - [c26]Ming Qin, Yao Lu, Huijun Di, Wei Huang:
Background basis selection from multiple clustering on local neighborhood structure. ICME 2015: 1-6 - [c25]Ming Qin, Yao Lu, Huijun Di, Tianfei Zhou:
A Sparse Error Compensation Based Incremental Principal Component Analysis Method for Foreground Detection. PCM (1) 2015: 233-242 - [c24]Danfeng Wan, Yao Lu, Javaria Ikram, Jianwu Li:
Position-Patch Based Face Hallucination via High-Resolution Reconstructed-Weights Representation. PCM (1) 2015: 421-430 - [i2]Tianfei Zhou, Yao Lu:
Online Visual Tracking using Multiple Instance Learning with Instance Significance Estimation. CoRR abs/1501.04378 (2015) - 2014
- [c23]Feng Lv, Huijun Di, Yao Lu:
Joint Sequential Shape Classification and Piecewise Elastic Motion Estimation. CIS 2014: 238-241 - [c22]Wencai Zou, Yao Lu, Mukai Chen, Feng Lv:
Rapid Face Detection in Static Video Using Background Subtraction. CIS 2014: 252-255 - [c21]Qingxuan Shi, Yao Lu, Tianfei Zhou:
Spatio-Temporal Context for More Accurate Dense Point Trajectories Estimation. CIS 2014: 256-259 - [c20]Jianqiang Xu, Yao Lu, Jinwu Liu:
Robust tracking via weighted spatio-temporal context learning. ICIP 2014: 413-416 - [c19]Tianfei Zhou, Yao Lu, Huijun Di:
Nearest neighbor field driven stochastic sampling for abrupt motion tracking. ICME 2014: 1-6 - [i1]Tianfei Zhou, Yao Lu, Feng Lv, Huijun Di, Qingjie Zhao, Jian Zhang:
Abrupt Motion Tracking via Nearest Neighbor Field Driven Stochastic Sampling. CoRR abs/1410.7484 (2014) - 2013
- [j6]M. Naleer Haju Mohamed, Yao Lu, Feng Lv:
Effective two-step method for face hallucination based on sparse compensation on over-complete patches. IET Image Process. 7(6): 624-632 (2013) - [c18]Ya Liu, Yao Lu, Qingxuan Shi, Jianhua Ding:
Optical Flow Based Urban Road Vehicle Tracking. CIS 2013: 391-395 - 2012
- [j5]Ziye Yan, Yao Lu, Junhai Wen, Cuifen Li:
Super resolution SPECT reconstruction with non-uniform attenuation. Comput. Biol. Medicine 42(6): 651-656 (2012) - [c17]Fan Lei, Yao Lu, Wei Huang, Lujun Yu, Lin Jia:
Fast Static Particle Swarm Optimization Based Feature Selection for Face Detection. CIS 2012: 401-405 - [c16]Lijuan Jia, Dandan Song, Linmi Tao, Yao Lu:
Heart Sounds Classification with a Fuzzy Neural Network Method with Structure Learning. ISNN (2) 2012: 130-140 - 2011
- [c15]M. Naleer Haju Mohamed, Yao Lu, Yaozu An:
The face hallucinating two-step framework using hallucinated high-resolution residual. ICDIP 2011: 80090A - [c14]Ziye Yan, Yao Lu, Jianwu Li:
Super Resolution of Text Image by Pruning Outlier. ICONIP (3) 2011: 649-656 - 2010
- [c13]Yaozu An, Yao Lu, Ziye Yan:
Spatial-Temporal Motion Compensation Based Video Super Resolution. ACCV (2) 2010: 282-292 - [c12]Ziye Yan, Yao Lu, Hongxia Yan:
Reducing the spiral ct slice thickness using super resolution. ICIP 2010: 593-596 - [c11]Jianwu Li, Yao Lu:
Refining Kernel Matching Pursuit. ISNN (2) 2010: 25-32
2000 – 2009
- 2009
- [c10]Yaozu An, Yao Lu, Zhengang Zhai:
Spatially Varying Regularization of Image Sequences Super-Resolution. ACCV (3) 2009: 475-484 - [c9]Yaozu An, Yao Lu, Hong Zhao:
Neighborhood-Based Weighted Regularization of Video Sequence Super-Resolution. CIS (1) 2009: 146-150 - [c8]Hong Zhao, Yao Lu, Zhengang Zhai:
Example-Based Facial Sketch Hallucination. CIS (1) 2009: 578-582 - [c7]Zhengang Zhai, Yao Lu, Hong Zhao:
Stereo Matching with Adaptive Arbitrary Support-Pixel Set and Adaptive Support-Weight. CIS (1) 2009: 598-602 - [c6]Ziye Yan, Yao Lu:
Super Resolution of MRI Using Improved IBP. CIS (1) 2009: 643-647 - 2008
- [c5]Jianwu Li, Zhanyong Mao, Yao Lu:
Adapting radial basis function neural networks for one-class classification. IJCNN 2008: 3766-3770 - [c4]Xiuzhuang Zhou, Yao Lu, Ziye Yan:
Image Completion for Overlapping Chromosomes. PACIIA (1) 2008: 413-417 - 2007
- [c3]Jianwu Li, Yao Lu:
An Efficient Real-Coded Genetic Algorithm for Numerical Optimization Problems. ICNC (3) 2007: 760-764 - 2006
- [j4]Maria Del Carmen Valdes, Minoru Inamura, J. D. R. Valera, Yao Lu:
Multidimensional filtering approaches for pre-processing thermal images. Multidimens. Syst. Signal Process. 17(4): 299-325 (2006) - [c2]Bo Ma, Hui-yang Qu, Hau-San Wong, Yao Lu:
3D Head Model Classification Using KCDA. PCM 2006: 1008-1017 - 2004
- [j3]Yao Lu, Minoru Inamura, Maria Del Carmen Valdes:
Super-resolution of the undersampled and subpixel shifted image sequence by a neural network. Int. J. Imaging Syst. Technol. 14(1): 8-15 (2004) - 2003
- [j2]Yao Lu, Minoru Inamura:
Erratum: Pyramid-based super-resolution of the undersampled and subpixel image sequence, vol. 12 no. 6, pp. 254-263, 2002. Int. J. Imaging Syst. Technol. 13(1): 113 (2003) - 2002
- [j1]Yao Lu, Minoru Inamura:
Pyramid-based super-resolution of the undersampled and subpixel shifted image sequence. Int. J. Imaging Syst. Technol. 12(6): 254-263 (2002) - [c1]Yao Lu, Minoru Inamura:
Spatial resolution improvement of spatial shift multi-observation images by neural network. IGARSS 2002: 92-94
Coauthor Index
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last updated on 2024-10-30 21:29 CET by the dblp team
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