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2020 – today
- 2025
[j35]William F. Godoy
, Steven E. Hahn, Michael M. Walsh, Philip W. Fackler, Jaron T. Krogel, Peter W. Doak, Paul R. C. Kent, Alfredo A. Correa, Ye Luo, Mark Dewing:
Software stewardship and advancement of a high-performance computing scientific application: QMCPACK. Future Gener. Comput. Syst. 163: 107502 (2025)- 2024
- [j34]Ye Luo, Yaowen Chen, Huanzeng Xie, Wentao Zhu, Guishan Zhang:
Interpretable CRISPR/Cas9 off-target activities with mismatches and indels prediction using BERT. Comput. Biol. Medicine 169: 107932 (2024) - [j33]Xin Xia, Yunlong Ma, Ye Luo, Jianwei Lu:
Artificial Intelligent Human-Computer Dialogue Support Platform for Hospitals. Int. J. Pattern Recognit. Artif. Intell. 38(6): 2359019:1-2359019:22 (2024) - [j32]Bo Li, Yongqiang Yao, Jingru Tan, Ruihao Gong, Jianwei Lu, Ye Luo:
Rectify representation bias in vision-language models for long-tailed recognition. Neural Networks 172: 106134 (2024) - [c48]Kexian Tang, Shuyu Wang, Hao Yang, Huilin Lai, Jingyi Sun, Ye Luo:
Reliable Cosine Matching via Neighborhood Consensus for Fundus Image Registration. CSCWD 2024: 2478-2483 - [c47]Yiyao Li, Lu Wang, Jung-Jae Kim, Chor Seng Tan, Ye Luo:
On the Selection of Positive and Negative Samples for Contrastive Math Word Problem Neural Solver. EDM 2024 - [c46]Xinyu Liu, Yong Yi, Ye Luo:
A Cascade Multimodal Fine-Grained MRI Image Grading Network For Preoperative Microvascular Invasion In Hepatocellular Carcinoma. ICME 2024: 1-6 - [c45]Taufeq Mohammed Razakh, Thomas Linker, Ye Luo, Rajiv K. Kalia, Ken-ichi Nomura, Priya Vashishta, Aiichiro Nakano:
Accelerating Quantum Light-Matter Dynamics on Graphics Processing Units. IPDPS (Workshops) 2024: 1057-1066 - [i21]Ye Luo, Arindam Roy:
Spectral antisymmetry of twisted graph adjacency. CoRR abs/2403.01550 (2024) - 2023
- [j31]Guishan Zhang, Ye Luo, Xianhua Dai, Zhiming Dai:
Benchmarking deep learning methods for predicting CRISPR/Cas9 sgRNA on- and off-target activities. Briefings Bioinform. 24(6) (2023) - [j30]Jianfu Huang, Ye Luo, Qinggan Fu, Yincen Chen, Chao Wang, Ling Song:
Generic attacks on small-state stream cipher constructions in the multi-user setting. Cybersecur. 6(1): 53 (2023) - [j29]Guokai Zhang, Dandan Zhu, Xiao Liu, Mingle Chen, Laurent Itti, Ye Luo, Jianwei Lu:
Multi-scale pulmonary nodule classification with deep feature fusion via residual network. J. Ambient Intell. Humaniz. Comput. 14(11): 14829-14840 (2023) - [j28]Xin Xia, Yunlong Ma, Ye Luo, Jianwei Lu:
Research and exploration of data centre construction in smart hospital stage. J. Comput. Methods Sci. Eng. 23(4): 1847-1858 (2023) - [j27]Hanmei Yang, Jian Lu, Ye Luo, Guokai Zhang, Heng Zhang, Yiwen Liang, Jianwei Lu:
Nonlocal ultrasound image despeckling via improved statistics and rank constraint. Pattern Anal. Appl. 26(1): 217-237 (2023) - [j26]Huilin Lai, Ye Luo, Bo Li, Guokai Zhang, Jianwei Lu:
Domain-Aware Dual Attention for Generalized Medical Image Segmentation on Unseen Domains. IEEE J. Biomed. Health Informatics 27(5): 2399-2410 (2023) - [j25]Huilin Lai, Ye Luo, Guokai Zhang, Xiaoang Shen, Bo Li, Jianwei Lu:
Toward accurate polyp segmentation with cascade boundary-guided attention. Vis. Comput. 39(4): 1453-1469 (2023) - [c44]Zhuohui Feng, Ye Luo, Chao Wang, Qianqian Yang, Zhiquan Liu, Ling Song:
Improved Differential Cryptanalysis on SPECK Using Plaintext Structures. ACISP 2023: 3-24 - [c43]Yiwen Liang, Lu Wang, Jianfei Wang, Ye Luo:
Attentive Deep K-SVD Network for Patch Correlated Image Denoising. ICIP 2023: 1490-1494 - [c42]Pengyu Zheng, Bo Li, Huilin Lai, Ye Luo:
BIN: A Bio-Signature Identification Network for Interpretable Liver Cancer Microvascular Invasion Prediction Based on Multi-modal MRIs. ICONIP (4) 2023: 107-119 - [c41]Xinyu Liu, Yicheng Wang, Ye Luo:
A Context Aware Lung Cancer Survival Prediction Network by Using Whole Slide Images. ICONIP (10) 2023: 374-386 - [c40]Yicheng Wang, Ye Luo, Bo Li, Xiaoang Shen:
Multi-modality Fusion Based Lung Cancer Survival Analysis with Self-supervised Whole Slide Image Representation Learning. PRCV (13) 2023: 333-345 - [c39]Hikaru Ibayashi, Taufeq Mohammed Razakh, Liqiu Yang, Thomas Linker, Marco Olguin, Shinnosuke Hattori, Ye Luo, Rajiv K. Kalia, Aiichiro Nakano, Ken-ichi Nomura, Priya Vashishta:
Allegro-Legato: Scalable, Fast, and Robust Neural-Network Quantum Molecular Dynamics via Sharpness-Aware Minimization. ISC 2023: 223-239 - [i20]Hikaru Ibayashi, Taufeq Mohammed Razakh, Liqiu Yang, Thomas Linker, Marco Olguin, Shinnosuke Hattori, Ye Luo, Rajiv K. Kalia, Aiichiro Nakano, Ken-ichi Nomura, Priya Vashishta:
Allegro-Legato: Scalable, Fast, and Robust Neural-Network Quantum Molecular Dynamics via Sharpness-Aware Minimization. CoRR abs/2303.08169 (2023) - [i19]Jiahao Xie, Ye Luo, Jianwei Lu:
A Random-patch based Defense Strategy Against Physical Attacks for Face Recognition Systems. CoRR abs/2304.07822 (2023) - [i18]William F. Godoy, Steven E. Hahn, Michael M. Walsh, Philip W. Fackler, Jaron T. Krogel, Peter W. Doak, Paul R. C. Kent, Alfredo A. Correa, Ye Luo, Mark Dewing:
Software engineering to sustain a high-performance computing scientific application: QMCPACK. CoRR abs/2307.11502 (2023) - [i17]Zhuohui Feng, Ye Luo, Chao Wang, Qianqian Yang, Zhiquan Liu, Ling Song:
Improved Differential Cryptanalysis on SPECK Using Plaintext Structures. IACR Cryptol. ePrint Arch. 2023: 566 (2023) - [i16]Qinggan Fu, Ye Luo, Qianqian Yang, Ling Song:
Preimage and Collision Attacks on Reduced Ascon Using Algebraic Strategies. IACR Cryptol. ePrint Arch. 2023: 1453 (2023) - 2022
- [j24]Yaowei Li, Ye Luo, Jianwei Lu:
Reference-guided deep deblurring via a selective attention network. Appl. Intell. 52(4): 3867-3879 (2022) - [j23]Xin Xia, Yunlong Ma, Ye Luo, Jianwei Lu:
An online intelligent electronic medical record system via speech recognition. Int. J. Distributed Sens. Networks 18(11): 155013292211344 (2022) - [j22]Hanmei Yang, Jian Lu, Heng Zhang, Ye Luo, Jianwei Lu:
Field of experts regularized nonlocal low rank matrix approximation for image denoising. J. Comput. Appl. Math. 412: 114244 (2022) - [j21]Seonmyeong Bak, Colleen Bertoni, Swen Boehm, Reuben D. Budiardja, Barbara M. Chapman, Johannes Doerfert, Markus Eisenbach, Hal Finkel, Oscar R. Hernandez, Joseph Huber, Shintaro Iwasaki, Vivek Kale, Paul R. C. Kent, JaeHyuk Kwack, Meifeng Lin, Piotr Luszczek, Ye Luo, Buu Pham, Swaroop Pophale, Kiran Ravikumar, Vivek Sarkar, Thomas Scogland, Shilei Tian, P. K. Yeung:
OpenMP application experiences: Porting to accelerated nodes. Parallel Comput. 109: 102856 (2022) - [j20]Yaowei Li, Jinshan Pan, Ye Luo, Jianwei Lu:
Deep Ranking Exemplar-Based Dynamic Scene Deblurring. IEEE Trans. Image Process. 31: 2245-2256 (2022) - [j19]Guokai Zhang, Xiaoang Shen, Yudong Zhang, Ye Luo, Jihao Luo, Dandan Zhu, Hanmei Yang, Weigang Wang, Binghui Zhao, Jianwei Lu:
Cross-Modal Prostate Cancer Segmentation via Self-Attention Distillation. IEEE J. Biomed. Health Informatics 26(11): 5298-5309 (2022) - [c38]Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo:
Equalized Focal Loss for Dense Long-Tailed Object Detection. CVPR 2022: 6980-6989 - [c37]Liying Liu, Yang Zheng, Ye Luo:
Chip-Firing Reservoir Computing. ICCDA 2022: 75-80 - [c36]Ye Luo, Peter W. Doak, Paul R. C. Kent:
A High-Performance Design for Hierarchical Parallelism in the QMCPACK Monte Carlo code. HiPar@SC 2022: 22-27 - [i15]Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo:
Equalized Focal Loss for Dense Long-Tailed Object Detection. CoRR abs/2201.02593 (2022) - [i14]Bo Li, Yongqiang Yao, Jingru Tan, Xin Lu, Fengwei Yu, Ye Luo, Jianwei Lu:
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning. CoRR abs/2210.05568 (2022) - 2021
- [j18]Xi Chen, Victor Chernozhukov, Iván Fernández-Val, Scott Kostyshak, Ye Luo:
Shape-Enforcing Operators for Generic Point and Interval Estimators of Functions. J. Mach. Learn. Res. 22: 220:1-220:42 (2021) - [j17]Yaowei Li, Ye Luo, Guokai Zhang, Jianwei Lu:
Single image deblurring with cross-layer feature fusion and consecutive attention. J. Vis. Commun. Image Represent. 78: 103149 (2021) - [j16]Ye Luo, Zehai Su, Wei Zheng, Zhaobin Chen, Fuqin Wang, Zhemin Zhang, Jinjun Chen:
A Novel Memory-hard Password Hashing Scheme for Blockchain-based Cyber-physical Systems. ACM Trans. Internet Techn. 21(2): 42:1-42:21 (2021) - [c35]Xiaoang Shen, Guokai Zhang, Huilin Lai, Jihao Luo, Jianwei Lu, Ye Luo:
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning. BIBM 2021: 1513-1518 - [c34]Shiqing Fan, Liying Liu, Ye Luo:
An Alternative Practice of Tropical Convolution to Traditional Convolutional Neural Networks. ICCDA 2021: 162-168 - [c33]Shiqing Fan, Ye Luo:
Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks. ICDSP 2021: 272-277 - [c32]Jiahao Xie, Sheng Zhang, Jianwei Lu, Ye Luo:
L-Snet: From Region Localization To Scale Invariant Medical Image Segmentation. ICIP 2021: 41-45 - [c31]Chao Pan, Peiyun Zhou, Jingru Tan, Baoye Sun, Ruoyu Guan, Zhutao Wang, Ye Luo, Jianwei Lu:
Liver Tumor Detection Via A Multi-Scale Intermediate Multi-Modal Fusion Network on MRI Images. ICIP 2021: 299-303 - [c30]Yifang Xu, Dan Yu, Ye Luo, Enbei Zhu, Jianwei Lu:
Generative Adversarial Domain Generalization via Cross-Task Feature Attention Learning for Prostate Segmentation. ICONIP (2) 2021: 273-284 - [c29]Peiyi Gu, Xiaowen Xu, Ye Luo, Peijun Wang, Jianwei Lu:
BCN-GCN: A Novel Brain Connectivity Network Classification Method via Graph Convolution Neural Network for Alzheimer's Disease. ICONIP (1) 2021: 657-668 - [c28]Pankaj Rajak, Anikeya Aditya, Shogo Fukushima, Rajiv K. Kalia, Thomas Linker, Kuang Liu, Ye Luo, Aiichiro Nakano, Ken-ichi Nomura, Kohei Shimamura, Fuyuki Shimojo, Priya Vashishta:
Ex-NNQMD: Extreme-Scale Neural Network Quantum Molecular Dynamics. IPDPS Workshops 2021: 943-946 - [i13]Jiahao Xie, Sheng Zhang, Jianwei Lu, Ye Luo:
L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation. CoRR abs/2102.05971 (2021) - [i12]Ye Luo, Shiqing Fan:
Min-Max-Plus Neural Networks. CoRR abs/2102.06358 (2021) - [i11]Shiqing Fan, Ye Luo:
An Alternative Practice of Tropical Convolution to Traditional Convolutional Neural Networks. CoRR abs/2103.02096 (2021) - [i10]Shiqing Fan, Ye Luo:
Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks. CoRR abs/2103.02121 (2021) - [i9]Jin Li, Ye Luo, Xiaowei Zhang:
Causal Reinforcement Learning: An Instrumental Variable Approach. CoRR abs/2103.04021 (2021) - [i8]Xiaoang Shen, Guokai Zhang, Huilin Lai, Jihao Luo, Ye Luo, Jianwei Lu:
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning. CoRR abs/2108.11694 (2021) - [i7]Jin Li, Ye Luo, Xiaowei Zhang:
Self-fulfilling Bandits: Endogeneity Spillover and Dynamic Selection in Algorithmic Decision-making. CoRR abs/2108.12547 (2021) - 2020
- [j15]Shuowen Chen, Victor Chernozhukov, Iván Fernández-Val, Ye Luo:
SortedEffects: Sorted Causal Effects in R. R J. 12(1): 131 (2020) - [c27]Guokai Zhang, Xiaoang Shen, Ye Luo, Jihao Luo, Zeju Wang, Weigang Wang, Binghui Zhao, Jianwei Lu:
Cross-Modal Self-Attention Distillation for Prostate Cancer Segmentation. BIBM 2020: 909-914 - [c26]Yimo Liu, Di Bu, Guokai Zhang, Ye Luo, Jianwei Lu, Weigang Wang, Binghui Zhao:
Using CNN With Handcrafted Features for Prostate Cancer Classification. CACRE 2020: 636-641 - [c25]Subodh C. Tiwari, Aravind Krishnamoorthy, Pankaj Rajak, Putt Sakdhnagool, Manaschai Kunaseth, Fuyuki Shimojo, Shogo Fukushima, Aiichiro Nakano, Ye Luo, Rajiv K. Kalia, Ken-ichi Nomura, Priya Vashishta:
Quantum Dynamics at Scale: Ultrafast Control of Emergent Functional Materials. HPC Asia 2020: 1-10 - [c24]Yaowei Li, Ye Luo, Jianwei Lu:
Single Image Deblurring Using Bi-Attention Network. ICPR 2020: 5333-5339 - [c23]Hanmei Yang, Heng Zhang, Ye Luo, Jianwei Lu, Jian Lu:
Ultrasound Image Restoration Using Weighted Nuclear Norm Minimization. ICPR 2020: 5391-5397 - [i6]Guokai Zhang, Xiaoang Shen, Ye Luo, Jihao Luo, Zeju Wang, Weigang Wang, Binghui Zhao, Jianwei Lu:
Cross-Modal Self-Attention Distillation for Prostate Cancer Segmentation. CoRR abs/2011.03908 (2020)
2010 – 2019
- 2019
- [j14]Guokai Zhang, Weigang Wang, Dinghao Yang, Jihao Luo, Pengcheng He, Yongtong Wang, Ye Luo, Binghui Zhao, Jianwei Lu:
A Bi-Attention Adversarial Network for Prostate Cancer Segmentation. IEEE Access 7: 131448-131458 (2019) - [j13]Guokai Zhang, Xiaoang Shen, Sirui Chen, Lipeng Liang, Ye Luo, Jie Yu, Jianwei Lu:
DSM: A Deep Supervised Multi-Scale Network Learning for Skin Cancer Segmentation. IEEE Access 7: 140936-140945 (2019) - [j12]Ye Luo, Beihong Wang:
Prediction of Negative Conversion Days of Childhood Nephrotic Syndrome Based on PCA and BP-AdaBoost Neural Network. IEEE Access 7: 151579-151586 (2019) - [c22]Heng Zhang, Chongke Zhao, Lehang Guo, Xiaolong Li, Ye Luo, Janwei Lu, Huixiong Xu:
Diagnosis of Thyroid Nodules in Ultrasound Images Using Two Combined Classification Modules. CISP-BMEI 2019: 1-5 - [i5]Xi Chen, Victor Chernozhukov, Ye Luo, Martin Spindler:
Adaptive Discrete Smoothing for High-Dimensional and Nonlinear Panel Data. CoRR abs/1912.12867 (2019) - 2018
- [j11]Dandan Zhu, Ye Luo, Lei Dai, Xuan Shao, Qiangqiang Zhou, Laurent Itti, Jianwei Lu:
Salient object detection via a local and global method based on deep residual network. J. Vis. Commun. Image Represent. 54: 1-9 (2018) - [j10]Zhimin Yu, Chunsheng Gu, Zhengjun Jing, Qiu-ru Cai, Ye Luo, Yao Wang:
Cryptanalysis of an asymmetric cipher protocol using a matrix decomposition problem: revisited. Multim. Tools Appl. 77(9): 11307-11320 (2018) - [j9]Guokai Zhang, Xiao Liu, Dandan Zhu, Pengcheng He, Lipeng Liang, Ye Luo, Jianwei Lu:
3D Spatial Pyramid Dilated Network for Pulmonary Nodule Classification. Symmetry 10(9): 376 (2018) - [j8]Dandan Zhu, Lei Dai, Ye Luo, Guokai Zhang, Xuan Shao, Laurent Itti, Jianwei Lu:
Multi-Scale Adversarial Feature Learning for Saliency Detection. Symmetry 10(10): 457 (2018) - [j7]Ke Chen, Dandan Zhu, Jianwei Lu, Ye Luo:
An Adversarial and Densely Dilated Network for Connectomes Segmentation. Symmetry 10(10): 467 (2018) - [j6]Defang Zhao, Dandan Zhu, Jianwei Lu, Ye Luo, Guokai Zhang:
Synthetic Medical Images Using F&BGAN for Improved Lung Nodules Classification by Multi-Scale VGG16. Symmetry 10(10): 519 (2018) - [j5]Jianwei Lu, Yixuan Xu, Mingle Chen, Ye Luo:
A Coarse-to-Fine Fully Convolutional Neural Network for Fundus Vessel Segmentation. Symmetry 10(11): 607 (2018) - [c21]Guokai Zhang, Ye Luo, Dandan Zhu, Yixuan Xu, Yunxin Sun, Jianwei Lu:
Spatial Pyramid Dilated Network for Pulmonary Nodule Malignancy Classification. ICPR 2018: 3911-3916 - 2017
- [j4]Dandan Zhu, Lei Dai, Xuan Shao, Qiangqiang Zhou, Laurent Itti, Ye Luo, Jianwei Lu:
Image salient object detection with refined deep features via convolution neural network. J. Electronic Imaging 26(6): 63018 (2017) - [c20]Dandan Zhu, Ye Luo, Xuan Shao, Laurent Itti, Jianwei Lu:
Saliency prediction based on new deep multi-layer convolution neural network. ICIP 2017: 2711-2715 - [c19]Xuan Shao, Ye Luo, Dandan Zhu, Shuqin Li, Laurent Itti, Jianwei Lu:
Scanpath Prediction Based on High-Level Features and Memory Bias. ICONIP (3) 2017: 3-13 - [c18]Xiao Liu, Ye Luo, Yu Ye, Jianwei Lu:
MC-DCNN: Dilated Convolutional Neural Network for Computing Stereo Matching Cost. ICONIP (3) 2017: 249-259 - [c17]Dandan Zhu, Ye Luo, Lei Dai, Xuan Shao, Laurent Itti, Jianwei Lu:
Deep Salient Object Detection via Hierarchical Network Learning. ICONIP (3) 2017: 319-329 - [c16]Liechuan Ou, Zheng Chen, Jianwei Lu, Ye Luo:
Regularizing CNN via Feature Augmentation. ICONIP (2) 2017: 325-332 - [c15]Yixuan Xu, Guokai Zhang, Yuan Li, Ye Luo, Jianwei Lu:
A Hybrid Model: DGnet-SVM for the Classification of Pulmonary Nodules. ICONIP (4) 2017: 732-741 - [c14]Amrita Mathuriya, Ye Luo, Anouar Benali, Luke Shulenburger, Jeongnim Kim:
Optimization and Parallelization of B-Spline Based Orbital Evaluations in QMC on Multi/Many-Core Shared Memory Processors. IPDPS 2017: 213-223 - [c13]Amrita Mathuriya, Ye Luo, Raymond C. Clay III, Anouar Benali, Luke Shulenburger, Jeongnim Kim:
Embracing a new era of highly efficient and productive quantum Monte Carlo simulations. SC 2017: 38 - [i4]Amrita Mathuriya, Ye Luo, Raymond C. Clay III, Anouar Benali, Luke Shulenburger, Jeongnim Kim:
Embracing a new era of highly efficient and productive quantum Monte Carlo simulations. CoRR abs/1708.02645 (2017) - 2016
- [j3]Ye Luo, Junsong Yuan, Jianwei Lu:
Finding spatio-temporal salient paths for video objects discovery. J. Vis. Commun. Image Represent. 38: 45-54 (2016) - [c12]Jiang Qian, Ye Luo, Yong Wang, Daotong Li:
Cloud Detection of optical remote sensing image time series using Mean Shift algorithm. IGARSS 2016: 560-562 - [c11]Bin Sun, Chunhui Ma, Xinyu Jin, Ye Luo:
Sparse Segmentation Algorithm of Liver in CT Images. ISCID (2) 2016: 457-460 - [c10]Linqing Liu, Yao Lu, Ye Luo, Renxian Zhang, Laurent Itti, Jianwei Lu:
Detecting "Smart" Spammers on Social Network: A Topic Model Approach. SRW@HLT-NAACL 2016: 45-50 - [i3]Ye Luo, Martin Spindler:
$L_2$Boosting in High-Dimensions: Rate of Convergence. CoRR abs/1602.08927 (2016) - [i2]Linqing Liu, Yao Lu, Ye Luo, Renxian Zhang, Laurent Itti, Jianwei Lu:
Detecting "Smart" Spammers On Social Network: A Topic Model Approach. CoRR abs/1604.08504 (2016) - [i1]Amrita Mathuriya, Ye Luo, Anouar Benali, Luke Shulenburger, Jeongnim Kim:
Optimization and parallelization of B-spline based orbital evaluations in QMC on multi/many-core shared memory processors. CoRR abs/1611.02665 (2016) - 2015
- [c9]Ye Luo, Loong-Fah Cheong, An Tran:
Actionness-Assisted Recognition of Actions. ICCV 2015: 3244-3252 - 2014
- [c8]Ye Luo, Loong-Fah Cheong, John-John Cabibihan:
Modeling the Temporality of Saliency. ACCV (3) 2014: 205-220 - 2013
- [c7]Ye Luo, Gangqiang Zhao, Junsong Yuan:
Thematic Saliency Detection Using Spatial-Temporal Context. ICCV Workshops 2013: 347-353 - [c6]Ye Luo, Junsong Yuan:
Salient object detection in videos by optimal spatio-temporal path discovery. ACM Multimedia 2013: 509-512 - 2012
- [c5]Ye Luo, Qi Tian:
Spatio-temporal enhanced sparse feature selection for video saliency estimation. CVPR Workshops 2012: 33-38 - 2011
- [j2]Ye Luo:
Rank-determining sets of metric graphs. J. Comb. Theory A 118(6): 1775-1793 (2011) - [j1]Ye Luo, Junsong Yuan, Ping Xue, Qi Tian:
Saliency Density Maximization for Efficient Visual Objects Discovery. IEEE Trans. Circuits Syst. Video Technol. 21(12): 1822-1834 (2011) - [c4]Ye Luo, Junsong Yuan, Ping Xue, Qi Tian:
Salient region detection and its application to video retargeting. ICME 2011: 1-6 - 2010
- [c3]Ye Luo, Junsong Yuan, Ping Xue, Qi Tian:
Saliency Density Maximization for Object Detection and Localization. ACCV (3) 2010: 396-408 - [c2]Ye Luo, Ping Xue, Qi Tian:
Image Histogram Constrained SIFT Matching. PCM (1) 2010: 91-99
2000 – 2009
- 2008
- [c1]Huandong Chen, Chunhui Song, Shulei Wu, Haihua Xing, ZhanJi Gui, Xianchuan Yu, Ye Luo:
Research and Design of Web-Based E-learning System. CSSE (5) 2008: 438-441
Coauthor Index
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