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2020 – today
- 2024
[j45]Nan Li, Fan Li, Chengjun Liu:
Do buyer protection mechanisms help sellers? A model of seller competition in the presence of online reputation systems. Adv. Eng. Informatics 59: 102327 (2024)- [j44]Chengjun Liu, Zhuo Peng, Weiguo Zheng, Lei Zou:
FSM: A Fine-grained Splitting and Merging Framework for Dual-balanced Graph Partition. Proc. VLDB Endow. 17(9): 2378-2391 (2024) - [j43]Jiaxin Wu
, Yong Li, Jianhui Hu, Chengjun Liu, Meng Zhao:
A Comprehensive Model of Variable Pitch Electric Propulsion Unit for Optimal-Power Thrust Control. IEEE Trans. Aerosp. Electron. Syst. 60(3): 3121-3131 (2024) - [i6]Shuaipeng Li, Penghao Zhao, Hailin Zhang, Xingwu Sun, Hao Wu, Dian Jiao, Weiyan Wang, Chengjun Liu, Zheng Fang, Jinbao Xue, Yangyu Tao, Bin Cui, Di Wang:
Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling. CoRR abs/2405.14578 (2024) - 2023
- [j42]Yingjun Wu, Yingtao Ru, Zhiwei Lin, Chengjun Liu, Tao Xue, Xiang Zhao, Jinfan Chen:
Research on Cyber Attacks and Defensive Measures of Power Communication Network. IEEE Internet Things J. 10(9, May 1): 7613-7635 (2023) - [j41]Hadi Ghahremannezhad, Hang Shi, Chengjun Liu:
Object Detection in Traffic Videos: A Survey. IEEE Trans. Intell. Transp. Syst. 24(7): 6780-6799 (2023) - [c65]Guanxiong Liu, Nicholas Furth, Hang Shi, Abdallah Khreishah, Jo Young Lee, Nirwan Ansari, Chengjun Liu, Yaser Jararweh:
Federated Learning Aided Deep Convolutional Neural Network Solution for Smart Traffic Management. NOMS 2023: 1-8 - 2022
- [j40]Guanxiong Liu, Hang Shi, Abbas Kiani, Abdallah Khreishah, Joyoung Lee, Nirwan Ansari, Chengjun Liu, Mustafa Mohammad Yousef:
Smart Traffic Monitoring System Using Computer Vision and Edge Computing. IEEE Trans. Intell. Transp. Syst. 23(8): 12027-12038 (2022) - [c64]Peng Peng, M. Tamer Özsu, Lei Zou, Cen Yan, Chengjun Liu:
MPC: Minimum Property-Cut RDF Graph Partitioning. ICDE 2022: 192-204 - [c63]Hadi Ghahremannezhad, Hang Shi, Chengjun Liu:
Real-Time Accident Detection in Traffic Surveillance Using Deep Learning. IST 2022: 1-6 - [c62]Hadi Ghahremannezhad, Hang Shi, Chengjun Liu:
Illumination-Aware Image Segmentation for Real-Time Moving Cast Shadow Suppression. IST 2022: 1-6 - [c61]Hadi Ghahremannezhad, Hang Shi, Chengjun Liu:
Real-Time Hysteresis Foreground Detection in Video Captured by Moving Cameras. IST 2022: 1-6 - [c60]Hang Shi, Hadi Ghahremannezhad, Chengjun Liu:
Unsupervised Anomaly Detection in Traffic Surveillance Based on Global Foreground Modeling. IST 2022: 1-6 - [c59]Xiangru Lian, Binhang Yuan, Xuefeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang, Ce Zhang, Ji Liu:
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. KDD 2022: 3288-3298 - [i5]Hadi Ghahremannezhad, Hang Shi, Chengjun Liu:
Real-Time Accident Detection in Traffic Surveillance Using Deep Learning. CoRR abs/2208.06461 (2022) - [i4]Hadi Ghahremannezhad, Chengjun Liu, Hang Shi:
Ammunition Component Classification Using Deep Learning. CoRR abs/2208.12863 (2022) - 2021
- [j39]Yong Li, Jiaxin Wu, Jianhui Hu, Qian Wang, Chengjun Liu:
Analysis of Factors Influencing Peak Torques and Peak Losses of Rotary Voice Coil Actuators Used in Aerospace. IEEE Access 9: 57120-57126 (2021) - [j38]Shaoduo Gan, Xiangru Lian, Rui Wang, Jianbin Chang, Chengjun Liu, Hongmei Shi, Shengzhuo Zhang, Xianghong Li, Tengxu Sun, Jiawei Jiang, Binhang Yuan, Sen Yang, Ji Liu, Ce Zhang:
BAGUA: Scaling up Distributed Learning with System Relaxations. Proc. VLDB Endow. 15(4): 804-813 (2021) - [c58]Hang Shi, Hadi Ghahremannezhad, Chengjun Liu:
Anomalous Driving Detection for Traffic Surveillance Video Analysis. IST 2021: 1-6 - [c57]Hang Shi, Chengjun Liu:
An Innovative Video Quality Assessment Method and An Impairment Video Dataset. IST 2021: 1-6 - [c56]Hadi Ghahremannezhad, Hang Shi, Chengjun Liu:
A New Online Approach for Moving Cast Shadow Suppression in Traffic Videos. ITSC 2021: 3034-3039 - [i3]Shaoduo Gan, Xiangru Lian, Rui Wang, Jianbin Chang, Chengjun Liu, Hongmei Shi, Shengzhuo Zhang, Xianghong Li, Tengxu Sun, Jiawei Jiang, Binhang Yuan, Sen Yang, Ji Liu, Ce Zhang:
BAGUA: Scaling up Distributed Learning with System Relaxations. CoRR abs/2107.01499 (2021) - [i2]Guanxiong Liu, Hang Shi, Abbas Kiani, Abdallah Khreishah, Jo Young Lee, Nirwan Ansari, Chengjun Liu, Mustafa Yousef:
Smart Traffic Monitoring System using Computer Vision and Edge Computing. CoRR abs/2109.03141 (2021) - [i1]Xiangru Lian, Binhang Yuan, Xuefeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang, Ce Zhang, Ji Liu:
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. CoRR abs/2111.05897 (2021) - 2020
- [j37]Hang Shi, Chengjun Liu:
A new cast shadow detection method for traffic surveillance video analysis using color and statistical modeling. Image Vis. Comput. 94: 103863 (2020) - [c55]Hadi Ghahremannezhad, Hang Shi, Chengjun Liu:
A New Adaptive Bidirectional Region-of-Interest Detection Method for Intelligent Traffic Video Analysis. AIKE 2020: 17-24 - [c54]Hang Shi, Hadi Ghahremannezhad, Chengjun Liu:
A Statistical Modeling Method for Road Recognition in Traffic Video Analytics. CogInfoCom 2020: 97-102 - [c53]Hadi Ghahremannezhad, Hang Shi, Chengjun Liu:
Robust Road Region Extraction in Video Under Various Illumination and Weather Conditions. IPAS 2020: 186-191 - [c52]Hadi Ghahremannezhad, Hang Shi, Chengjun Liu:
Automatic Road Detection in Traffic Videos. ISPA/BDCloud/SocialCom/SustainCom 2020: 777-784
2010 – 2019
- 2019
- [c51]Hang Shi, Chengjun Liu:
Moving Cast Shadow Detection in Video Based on New Chromatic Criteria and Statistical Modeling. ICMLA 2019: 196-201 - [c50]Hang Shi, Chengjun Liu:
An Unsupervised Statistical Moving Shadow Detection Method for Video Analysis. MLDM (1) 2019: 16-27 - [c49]Mohammad O. Faruque, Hadi Ghahremannezhad, Chengjun Liu:
Vehicle Classication in Video Using Deep Learning. MLDM (1) 2019: 117-131 - 2018
- [c48]Hang Shi, Chengjun Liu:
A New Foreground Segmentation Method for Video Analysis in Different Color Spaces. ICPR 2018: 2899-2904 - [c47]Abbas Kiani, Guanxiong Liu, Hang Shi, Abdallah Khreishah, Nirwan Ansari, Jo Young Lee, Chengjun Liu:
A Two-Tier Edge Computing Based Model for Advanced Traffic Detection. IoTSMS 2018: 208-215 - [c46]Hang Shi, Chengjun Liu:
A New Global Foreground Modeling and Local Background Modeling Method for Video Analysis. MLDM (1) 2018: 49-63 - [c45]Ajit Puthenputhussery, Qingfeng Liu, Chengjun Liu:
Multiple Anthropological Fisher Kernel Framework and Its Application to Kinship Verification. WACV 2018: 57-65 - [c44]Ajit Puthenputhussery, Qingfeng Liu, Hao Liu, Chengjun Liu:
Generative and Discriminative Sparse Coding for Image Classification Applications. WACV 2018: 1824-1832 - 2017
- [j36]Ajit Puthenputhussery, Qingfeng Liu, Chengjun Liu:
A Sparse Representation Model Using the Complete Marginal Fisher Analysis Framework and Its Applications to Visual Recognition. IEEE Trans. Multim. 19(8): 1757-1770 (2017) - [j35]Qingfeng Liu, Chengjun Liu:
A Novel Locally Linear KNN Method With Applications to Visual Recognition. IEEE Trans. Neural Networks Learn. Syst. 28(9): 2010-2021 (2017) - 2016
- [c43]Ajit Puthenputhussery, Qingfeng Liu, Chengjun Liu:
Sparse Representation Based Complete Kernel Marginal Fisher Analysis Framework for Computational Art Painting Categorization. ECCV (8) 2016: 612-627 - [c42]Ajit Puthenputhussery, Qingfeng Liu, Chengjun Liu:
SIFT flow based genetic fisher vector feature for kinship verification. ICIP 2016: 2921-2925 - [c41]Qingfeng Liu, Ajit Puthenputhussery, Chengjun Liu:
A novel inheritable color space with application to kinship verification. WACV 2016: 1-9 - [c40]Ajit Puthenputhussery, Qingfeng Liu, Chengjun Liu:
Color multi-fusion fisher vector feature for fine art painting categorization and influence analysis. WACV 2016: 1-9 - 2015
- [j34]Shuo Chen, Chengjun Liu:
Eye detection using discriminatory Haar features and a new efficient SVM. Image Vis. Comput. 33: 68-77 (2015) - [c39]Qingfeng Liu, Ajit Puthenputhussery, Chengjun Liu:
Inheritable Fisher vector feature for kinship verification. BTAS 2015: 1-6 - [c38]Qingfeng Liu, Chengjun Liu:
A novel locally linear KNN model for visual recognition. CVPR 2015: 1329-1337 - [c37]Qingfeng Liu, Ajit Puthenputhussery, Chengjun Liu:
Novel general KNN classifier and general nearest mean classifier for visual classification. ICIP 2015: 1810-1814 - [c36]Qingfeng Liu, Ajit Puthenputhussery, Chengjun Liu:
Learning the discriminative dictionary for sparse representation by a general fisher regularized model. ICIP 2015: 4347-4351 - 2014
- [j33]Atreyee Sinha, Sugata Banerji, Chengjun Liu:
New color GPHOG descriptors for object and scene image classification. Mach. Vis. Appl. 25(2): 361-375 (2014) - [j32]Chengjun Liu:
Discriminant analysis and similarity measure. Pattern Recognit. 47(1): 359-367 (2014) - [j31]Shuo Chen, Chengjun Liu:
Clustering-Based Discriminant Analysis for Eye Detection. IEEE Trans. Image Process. 23(4): 1629-1638 (2014) - [c35]Qingfeng Liu, Chengjun Liu:
A new locally linear KNN method with an improved marginal Fisher analysis for image classification. IJCB 2014: 1-6 - [c34]Atreyee Sinha, Sugata Banerji, Chengjun Liu:
Scene image classification using a wigner-based Local Binary Patterns descriptor. IJCNN 2014: 1614-1621 - [c33]Qingfeng Liu, Chengjun Liu:
A novel hierarchical interaction model and HITS map for action recognition in static images. SMC 2014: 210-215 - 2013
- [j30]Chengjun Liu:
Effective use of color information for large scale face verification. Neurocomputing 101: 43-51 (2013) - [j29]Jiayu Gu, Chengjun Liu:
Feature local binary patterns with application to eye detection. Neurocomputing 113: 138-152 (2013) - [j28]Sugata Banerji, Atreyee Sinha, Chengjun Liu:
New image descriptors based on color, texture, shape, and wavelets for object and scene image classification. Neurocomputing 117: 173-185 (2013) - [c32]Sugata Banerji, Atreyee Sinha, Chengjun Liu:
A New Bag of Words LBP (BoWL) Descriptor for Scene Image Classification. CAIP (1) 2013: 490-497 - [c31]Chengjun Liu, Zhisong Bie, Canfeng Chen, Xianjun Jiao:
A parallel LTE Turbo decoder on GPU. ICCT 2013: 609-614 - [c30]Sugata Banerji, Atreyee Sinha, Chengjun Liu:
HaarHOG: Improving the HOG Descriptor for Image Classification. SMC 2013: 4276-4281 - 2012
- [j27]Abhishek Verma, Chengjun Liu, Jiancheng Kevin Jia:
Iris recognition based on robust iris segmentation and image enhancement. Int. J. Biom. 4(1): 56-76 (2012) - [c29]Atreyee Sinha, Sugata Banerji, Chengjun Liu:
Gabor-Based Novel Local, Shape and Color Features for Image Classification. ICONIP (3) 2012: 299-306 - [c28]Atreyee Sinha, Sugata Banerji, Chengjun Liu:
Novel color Gabor-LBP-PHOG (GLP) descriptors for object and scene image classification. ICVGIP 2012: 58 - [c27]Sugata Banerji, Atreyee Sinha, Chengjun Liu:
Novel color HWML descriptors for scene and object image classification. IPTA 2012: 330-335 - [c26]Sugata Banerji, Atreyee Sinha, Chengjun Liu:
Scene image classification: Some novel descriptors. SMC 2012: 2294-2299 - [c25]Atreyee Sinha, Sugata Banerji, Chengjun Liu:
Novel Gabor-PHOG Features for Object and Scene Image Classification. SSPR/SPR 2012: 584-592 - [p8]Jiayu Gu, Chengjun Liu:
Feature Local Binary Patterns. Cross Disciplinary Biometric Systems 2012: 1-13 - [p7]Chengjun Liu:
New Color Features for Pattern Recognition. Cross Disciplinary Biometric Systems 2012: 15-34 - [p6]Zhiming Liu, Chengjun Liu:
Gabor-DCT Features with Application to Face Recognition. Cross Disciplinary Biometric Systems 2012: 35-51 - [p5]Zhiming Liu, Chengjun Liu:
Frequency and Color Fusion for Face Verification. Cross Disciplinary Biometric Systems 2012: 53-71 - [p4]Chengjun Liu:
Mixture of Classifiers for Face Recognition across Pose. Cross Disciplinary Biometric Systems 2012: 73-92 - [p3]Peichung Shih, Chengjun Liu:
Wavelet Features for 3D Face Recognition. Cross Disciplinary Biometric Systems 2012: 93-116 - [p2]Shuo Chen, Chengjun Liu:
Various Discriminatory Features for Eye Detection. Cross Disciplinary Biometric Systems 2012: 183-203 - [p1]Sugata Banerji, Abhishek Verma, Chengjun Liu:
LBP and Color Descriptors for Image Classification. Cross Disciplinary Biometric Systems 2012: 205-225 - [e1]Chengjun Liu, Vijay Kumar Mago:
Cross Disciplinary Biometric Systems. Intelligent Systems Reference Library 37, Springer 2012, ISBN 978-3-642-28456-4 [contents] - 2011
- [j26]Abhishek Verma, Chengjun Liu, Jiancheng Jia:
New colour SIFT descriptors for image classification with applications to biometrics. Int. J. Biom. 3(1): 56-75 (2011) - [j25]Peichung Shih, Chengjun Liu:
An effective colour feature extraction method using evolutionary computation for face recognition. Int. J. Biom. 3(3): 206-227 (2011) - [j24]Chengjun Liu:
Extracting discriminative color features for face recognition. Pattern Recognit. Lett. 32(14): 1796-1804 (2011) - [c24]Shuo Chen, Chengjun Liu:
Precise Eye Detection Using Discriminating HOG Features. CAIP (1) 2011: 443-450 - [c23]Shuo Chen, Chengjun Liu:
A new efficient SVM and its application to real-time accurate eye localization. IJCNN 2011: 2520-2527 - [c22]Shuo Chen, Chengjun Liu:
Fast eye detection using different color spaces. SMC 2011: 521-526 - [c21]Abhishek Verma, Chengjun Liu:
Novel EFM-KNN classifier and a new color descriptor for image classification. WOCC 2011: 1-6 - 2010
- [j23]Jian Yang, Chengjun Liu, Jingyu Yang:
What kind of color spaces is suitable for color face recognition? Neurocomputing 73(10-12): 2140-2146 (2010) - [j22]Jian Yang, Chengjun Liu, Lei Zhang:
Color space normalization: Enhancing the discriminating power of color spaces for face recognition. Pattern Recognit. 43(4): 1454-1466 (2010) - [j21]Zhiming Liu, Chengjun Liu:
Fusion of color, local spatial and global frequency information for face recognition. Pattern Recognit. 43(8): 2882-2890 (2010) - [j20]Zhiming Liu, Jian Yang, Chengjun Liu:
Extracting Multiple Features in the CID Color Space for Face Recognition. IEEE Trans. Image Process. 19(9): 2502-2509 (2010) - [c20]Shuo Chen, Chengjun Liu:
Eye detection using color information and a new efficient SVM. BTAS 2010: 1-6
2000 – 2009
- 2009
- [j19]Chengjun Liu, Jian Yang:
ICA Color Space for Pattern Recognition. IEEE Trans. Neural Networks 20(2): 248-257 (2009) - [c19]Zhiming Liu, Chengjun Liu:
Robust Face Recognition Using Color Information. ICB 2009: 122-131 - 2008
- [j18]Zhiming Liu, Chengjun Liu:
Fusion of the complementary Discrete Cosine Features in the YIQ color space for face recognition. Comput. Vis. Image Underst. 111(3): 249-262 (2008) - [j17]Chengjun Liu:
Clarification of Assumptions in the Relationship between the Bayes Decision Rule and the Whitened Cosine Similarity Measure. IEEE Trans. Pattern Anal. Mach. Intell. 30(6): 1116-1117 (2008) - [j16]Chengjun Liu:
Learning the Uncorrelated, Independent, and Discriminating Color Spaces for Face Recognition. IEEE Trans. Inf. Forensics Secur. 3(2): 213-222 (2008) - [j15]Zhiming Liu, Chengjun Liu:
A Hybrid Color and Frequency Features Method for Face Recognition. IEEE Trans. Image Process. 17(10): 1975-1980 (2008) - [j14]Jian Yang, Chengjun Liu:
Color Image Discriminant Models and Algorithms for Face Recognition. IEEE Trans. Neural Networks 19(12): 2088-2098 (2008) - [c18]Jian Yang, Chengjun Liu:
A discriminant color space method for face representation and verification on a large-scale database. ICPR 2008: 1-4 - 2007
- [j13]Chengjun Liu:
The Bayes Decision Rule Induced Similarity Measures. IEEE Trans. Pattern Anal. Mach. Intell. 29(6): 1086-1090 (2007) - [j12]Jian Yang, Chengjun Liu:
Horizontal and Vertical 2DPCA-Based Discriminant Analysis for Face Verification on a Large-Scale Database. IEEE Trans. Inf. Forensics Secur. 2(4): 781-792 (2007) - [c17]Jian Yang, Chengjun Liu:
Horizontal and Vertical 2DPCA Based Discriminant Analysis for Face Verification Using the FRGC Version 2 Database. ICB 2007: 838-847 - [c16]Jian Yang, Chengjun Liu:
A General Discriminant Model for Color Face Recognition. ICCV 2007: 1-6 - 2006
- [j11]Chengjun Liu:
Capitalize on Dimensionality Increasing Techniques for Improving Face Recognition Grand Challenge Performance. IEEE Trans. Pattern Anal. Mach. Intell. 28(5): 725-737 (2006) - [j10]Peichung Shih, Chengjun Liu:
Face detection using discriminating feature analysis and Support Vector Machine. Pattern Recognit. 39(2): 260-276 (2006) - [c15]Peichung Shih, Chengjun Liu:
Improving the Face Recognition Grand Challenge Baseline Performance using Color Configurations Across Color Spaces. ICIP 2006: 1001-1004 - 2005
- [j9]Peichung Shih, Chengjun Liu:
Comparative assessment of content-based face image retrieval in different color spaces. Int. J. Pattern Recognit. Artif. Intell. 19(7): 873-893 (2005) - [c14]Peichung Shih, Chengjun Liu:
Comparative Assessment of Content-Based Face Image Retrieval in Different Color Spaces. AVBPA 2005: 1039-1048 - [c13]Peichung Shih, Chengjun Liu:
Evolving Effective Color Features for Improving FRGC Baseline Performance. CVPR Workshops 2005: 156 - 2004
- [j8]Chengjun Liu:
Gabor-Based Kernel PCA with Fractional Power Polynomial Models for Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 26(5): 572-581 (2004) - [j7]Chengjun Liu:
Enhanced independent component analysis and its application to content based face image retrieval. IEEE Trans. Syst. Man Cybern. Part B 34(2): 1117-1127 (2004) - [c12]Peichung Shih, Chengjun Liu:
Face Detection Using Discriminating Feature Analysis and Support Vector Machine in Video. ICPR (2) 2004: 407-410 - 2003
- [j6]Chengjun Liu:
A Bayesian Discriminating Features Method for Face Detection. IEEE Trans. Pattern Anal. Mach. Intell. 25(6): 725-740 (2003) - [j5]Chengjun Liu, Harry Wechsler:
Independent component analysis of Gabor features for face recognition. IEEE Trans. Neural Networks 14(4): 919-928 (2003) - 2002
- [j4]Chengjun Liu, Harry Wechsler:
Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition. IEEE Trans. Image Process. 11(4): 467-476 (2002) - 2001
- [j3]Chengjun Liu, Harry Wechsler:
A shape- and texture-based enhanced Fisher classifier for face recognition. IEEE Trans. Image Process. 10(4): 598-608 (2001) - [c11]Chengjun Liu, Harry Wechsler:
Face Recognition Using Independent Gabor Wavelet Features. AVBPA 2001: 20-25 - [c10]Srinivas Gutta, Jeffrey Huang, Chengjun Liu, Harry Wechsler:
Comparative Performance Evaluation of Gray-Scale and Color Information for Face Recognition Tasks. AVBPA 2001: 38-43 - [c9]Chengjun Liu, Harry Wechsler:
A Gabor Feature Classifier for Face Recognition. ICCV 2001: 270-275 - 2000
- [j2]Chengjun Liu, Harry Wechsler:
Evolutionary Pursuit and Its Application to Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 22(6): 570-582 (2000) - [j1]Chengjun Liu, Harry Wechsler:
Robust coding schemes for indexing and retrieval from large face databases. IEEE Trans. Image Process. 9(1): 132-137 (2000) - [c8]Chengjun Liu, Harry Wechsler:
Learning the Face Space - Representation and Recognition. ICPR 2000: 1249-1256
1990 – 1999
- 1999
- [c7]Chengjun Liu, Harry Wechsler:
Face Recognition Using Shape and Texture. CVPR 1999: 1598-1605 - [c6]Chengjun Liu, Harry Wechsler:
An integrated shape and intensity coding scheme for face recognition. IJCNN 1999: 3300-3304 - 1998
- [c5]Chengjun Liu, Harry Wechsler:
Probabilistic Reasoning Models for Face Recognition. CVPR 1998: 827-832 - [c4]Chengjun Liu, Harry Wechsler:
Face Recognition Using Evolutionary Pursuit. ECCV (2) 1998: 596-612 - [c3]Chengjun Liu, Harry Wechsler:
Evolution of Optimal Projection Axes (OPA) for Face Recognition. FG 1998: 282-287 - [c2]Chengjun Liu, Harry Wechsler:
A Unified Bayesian Framework for Face Recognition. ICIP (1) 1998: 151-155 - [c1]Chengjun Liu, Harry Wechsler:
Enhanced Fisher linear discriminant models for face recognition. ICPR 1998: 1368-1372
Coauthor Index
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