Chengjun Liu

“Real-Time Accident Detection in Traffic Surveillance Using Deep Learning”
IEEE, the 2022 IEEE International Conference on Imaging Systems and Techniques, IST 2022, June 21-23, 2022, Virtual., June 2022.

“Real-Time Hysteresis Foreground Detection in Video Captured by Moving Cameras”
IEEE, the 2022 IEEE International Conference on Imaging Systems and Techniques, IST 2022, June 21-23, 2022, Virtual., June 2022.

“Unsupervised Anomaly Detection in Traffic Surveillance Based on Global Foreground Modeling”
IEEE, the 2022 IEEE International Conference on Imaging Systems and Techniques, IST 2022, June 21-23, 2022, Virtual., June 2022.

“A New Online Approach for Moving Cast Shadow Suppression in Traffic Videos”
IEEE, the 24th IEEE International Conference on Intelligent Transportation Systems, ITSC 2021, September 19-22, 2021, Indianapolis, IN, United States., September 2021.

“An Innovative Video Quality Assessment Method and An Impairment Video Dataset”
IEEE, 2021 IEEE International Conference on Imaging Systems and Techniques, IST 2021, August 24-26, 2021, New York, USA., August 2021.

“Anomalous Driving Detection for Traffic Surveillance Video Analysis”
IEEE, 2021 IEEE International Conference on Imaging Systems and Techniques, IST 2021, August 24-26, 2021, New York, USA., August 2021.

“Automatic Road Detection in Traffic Videos”
IEEE, 10th IEEE International Conference on Big Data and Cloud Computing, December 17-19, 2020., December 2020.

“A New Adaptive Bidirectional Region-of-Interest Detection Method for Intelligent Traffic Video Analysis”
IEEE, the 3rd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, December 9-11, 2020., December 2020.

“A Statistical Modeling Method for Road Recognition in Traffic Video Analytics”
11th IEEE International Conference on Cognitive Infocommunications, Sep 23-25, 2020., September 2020.

“Robust Road Region Extraction in Video Under Various Illumination and Weather Conditions”
IEEE, Fourth IEEE International Conference on Image Processing, Applications and Systems, 9-11 December 2020, Genova, Italy, September 2020.

“A Real Time Accident Detection Framework for Traffic Video Analysis”
16th International Conference on Machine Learning and Data Mining, July (3rd Quarter/Summer) 2020.

“A Real Time Accident Detection Framework for Traffic Video Analysis”
the 16th International Conference on Machine Learning and Data Mining, July 18-23, 2020., July (3rd Quarter/Summer) 2020.

“Moving Cast Shadow Detection in Video Based on New Chromatic Criteria and Statistical Modeling”
18th IEEE International Conference on Machine Learning and Applications (ICMLA 2019), December 2019.

“An Unsupervised Statistical Moving Shadow Detection Method for Video Analysis”
the 15th International Conference on Machine Learning and Data Mining, July (3rd Quarter/Summer) 2019.

“Vehicle Classication in Video Using Deep Learning”
the 15th International Conference on Machine Learning and Data Mining, July (3rd Quarter/Summer) 2019.

“A two-tier edge computing based model for advanced traffic detection”
2018.

“A Two-Tier Edge Computing Based Model for Advanced Traffic Detection”
2018.

“A two-tier edge computing based model for advanced traffic detection”
2018.

“A Two-Tier Edge Computing Based Model for Advanced Traffic Detection”
2018.

“A two-tier edge computing based model for advanced traffic detection”
October (4th Quarter/Autumn) 2018.

“A New Foreground Segmentation Method for Video Analysis in Different Color Spaces”
the 24th International Conference on Pattern Recognition, August 20-24, 2018, , August 2018.

“A New Global Foreground Modeling and Local Background Modeling Method for Video Analysis”
the 14th International Conference on Machine Learning and Data Mining, July 14-19, 2018, , July (3rd Quarter/Summer) 2018.

“Generative and Discriminative Sparse Coding for Image Classification Applications”
the IEEE Winter Conference on Applications of Computer Vision, March 12-14, 2018, , March 2018.

“Multiple Anthropological Fisher Kernel Framework And its Application to Kinship Verification”
the IEEE Winter Conference on Applications of Computer Vision, March 12-14, 2018, , March 2018.

“Sparse Representation Based Complete Kernel Marginal Fisher Analysis Framework for Computational Art Painting Categorization”
the 14th European Conference on Computer Vision, ECCV 2016, October (4th Quarter/Autumn) 2016.

“SIFT Flow Based Genetic Fisher Vector Feature for Kinship Verification”
the 23rd IEEE International Conference on Image Processing, September 2016.

“A Novel Inheritable Color Space with Application to Kinship Verification”
the IEEE Winter Conference on Applications of Computer Vision, March 2016.

“Color Multi-Fusion Fisher Vector Feature for Fine Art Painting Categorization and Influence Analysis”
the IEEE Winter Conference on Applications of Computer Vision, March 2016.

“Improving the Soft-Assignment Coding While Keeping its Efficiency”
the IEEE International Conference on Image Processing, September 2015.

“Learning the Discriminative Dictionary for Sparse Representation by a General Fisher Regularized Model”
the IEEE International Conference on Image Processing, September 2015.

“Inheritable Fisher Vector Feature for Kinship Verification”
the IEEE Seventh International Conference on Biometrics: Theory, Applications and Systems, September 2015.

“A Novel Locally Linear KNN Model for Visual Recognition”
the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2015.

“A Novel Hierarchical Interaction Model and HITS Map for Action Recognition in Static Images”
IEEE International Conference on Systems, Man, and Cybernetics, October (4th Quarter/Autumn) 2014.

“A New Locally Linear KNN Method with an Improved Marginal Fisher Analysis for Image Classification”
International Joint Conference on Biometrics, September 2014.

“HaarHOG: Improving the HOG Descriptor for Image Classification”
IEEE International Conference on Systems, Man, and Cybernetics, October (4th Quarter/Autumn) 2013.

“A New Bag of Words LBP (BoWL) Descriptor for Scene Image Classification”
15th international conference on Computer Analysis of Images and Patterns, August 2013.

“Novel Color Gabor-LBP-PHOG (GLP) Descriptors for Object and Scene Image Classification”
The Eighth Indian Conference on Vision, Graphics and Image Processing, December 2012.

“Gabor-Based Novel Local, Shape and Color Features for Image Classification”
the 19th International Conference on Neural Information Processing, November 2012.

“Novel Gabor-PHOG Features for Object and Scene Image Classification”
Structural, Syntactic, and Statistical Pattern Recognition, Lecture Notes in Computer Science, November 2012.

“Novel Color HWML Descriptors for Scene and Object Image Classification”
the 3rd International Conference on Image Processing Theory, Tools & Applications, October (4th Quarter/Autumn) 2012.

“Scene Image Classification: Some Novel Descriptors”
IEEE International Conference on Systems, Man, and Cybernetics, October (4th Quarter/Autumn) 2012.

“Novel Color, Shape and Texture-based Scene Image Descriptors”
IEEE International Conference on Intelligent Computer Communication and Processing, September 2012.

“A New Feature Local Binary Patterns (FLBP) Method”
16th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July (3rd Quarter/Summer) 2012.

“Gabor-Based Novel Color Descriptors for Object and Scene Image Classification”
16th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July (3rd Quarter/Summer) 2012.

“Local Quaternary Patterns and Feature Local Quaternary Patterns”
16th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July (3rd Quarter/Summer) 2012.

“Object and Scene Image Classification Using Unconventional Color Descriptors”
16th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July (3rd Quarter/Summer) 2012.

“Fast Eye Detection Using Different Color Spaces”
IEEE International Conference on Systems, Man, and Cybernetics, October (4th Quarter/Autumn) 2011.

“Precise Eye Detection Using Discriminating HOG Features”
14th International Conference on Computer Analysis of Images and Patterns, August 2011.

“A New Efficient SVM and Its Application to A Real-time Accurate Eye Localization System”
International Joint Conference on Neural Networks (IJCNN), July (3rd Quarter/Summer) 2011.

“Discriminant Analysis of Haar Features for Accurate Eye Detection”
15th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July (3rd Quarter/Summer) 2011.

“Novel Color LBP Descriptors for Scene and Image Texture Classification”
15th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July (3rd Quarter/Summer) 2011.

“Fusion of Color SIFT Features for Image Classification with Applications to Biometrics”
The Eleventh IAPR International Conference on Pattern Recognition and Information Processing, May 2011.

“Novel EFM-KNN Classifier and a New Color Descriptor for Image Classification”
IEEE Wireless and Optical Communications Conference, April (2nd Quarter/Spring) 2011.

“A New Color SIFT Descriptor and Methods for Image Category Classification”
the 2010 International Congress on Computer Applications and Computational Science, December 2010.

“Eye Detection Using Color Information and a New Efficient SVM”
Fourth IEEE International Conference on Biometrics Theory, Applications and Systems, September 2010.

“Learning-based Image Representation and Method for Face Recognition”
IEEE Third International Conference on Biometrics: Theory, Applications and Systems, September 2009.

“Robust Face Recognition Using Color Information”
The 3rd IAPR/IEEE International Conference on Biometrics,, June 2009.

“A Discriminant Color Space Method for Face Representation and Verification on a Large-scale Database”
the 19th International Conference on Pattern Recognition, December 2008.

“Fusing Frequency, Spatial and Color Features for Face Recognition”
IEEE Second International Conference on Biometrics: Theory, Applications and Systems, Sept 29 - Oct 1, 2008, Arlington, Virginia, USA., October (4th Quarter/Autumn) 2008.

Hang Shi, Chengjun Liu. 2020. “A New Cast Shadow Detection Method for Traffic Surveillance Video Analysis Using Color and Statistical Modeling.” Image and Vision Computing, 94, 103863, 2020. Elsevier..

Q. Liu, Chengjun Liu. 2017. “A Novel Locally Linear KNN Method with Application to Visual Recognition.” IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 9, pp. 2010-2021.

Ajit Puthenputhussery, Qingfeng Liu, Chengjun Liu. 2017. “A Sparse Representation Model Using the Complete Marginal Fisher Analysis Framework And Its Applications to Visual Recognition.” IEEE Transactions on Multimedia, vol. 19, no. 8, pp. 1757-1770.

Shuo Chen, Chengjun Liu. 2015. “Eye detection using discriminatory Haar features and a new efficient SVM.” Image and Vision Computing, vol. 33, pp. 68-77.

S. Chen, Chengjun Liu. 2014. “Clustering-based Discriminant Analysis for Eye Detection.” IEEE Transactions on Image Processing, vol. 23, no. 4, pp. 1629-1638.

Atreyee Sinha, Sugata Banerji, Chengjun Liu. 2014. “New Color GPHOG Descriptors for Object and Scene Image Classification.” Machine Vision and Applications, vol. 25, no. 2, pp. 361-375.

Chengjun Liu. 2014. “Discriminant Analysis and Similarity Measure.” Pattern Recognition, vol. 47, no. 1, pp. 359-367.

Sugata Banerji, Atreyee Sinha, Chengjun Liu. 2013. “New Image Descriptors based on Color, Texture, Shape, and Wavelets for Object and Scene Image Classification.” Neurocomputing, vol. 117, pp. 173-185.

Jiayu Gu, Chengjun Liu. 2013. “Feature Local Binary Patterns with Application to Eye Detection.” Neurocomputing, vol. 113, pp. 138-152.

Chengjun Liu. 2013. “Effective Use of Color Information for Large Scale Face Verification.” Neurocomputing, vol. 101, pp. 43-51.

A. Verma, Chengjun Liu, J. Jia. 2012. “Iris Recognition Based on Robust Iris Segmentation and Image Enhancement.” International Journal of Biometrics, vol. 4, no. 1, pp. 56-76.

Chengjun Liu. 2011. “Extracting Discriminatory Color Features for Face Recognition.” Pattern Recognition Letters, vol. 32, no. 14, pp. 1796-1804.

P. Shih, Chengjun Liu. 2011. “An Effective Color Feature Extraction Method Using Evolutionary Computation for Face Recognition.” International Journal of Biometrics, vol. 3, no. 3, pp. 206-227.

A. Verma, Chengjun Liu, J. Jia. 2011. “New Color SIFT Descriptors for Image Classification with Applications to Biometrics.” International Journal of Biometrics, vol. 3, no. 1, pp. 56-75.

Z. Liu, J. Yang, Chengjun Liu. 2010. “Extracting Multiple Features in the CID Color Space for Face Recognition.” IEEE Transactions on Image Processing, vol. 19, no. 9, pp. 2502–2509.

Z. Liu, Chengjun Liu. 2010. “Fusion of Color, Local Spatial and Global Frequency Information for Face Recognition.” Pattern Recognition, vol. 43, no. 8, pp. 2882-2890.

J. Yang, Chengjun Liu, J.Y. Yang. 2010. “What Kind of Color Spaces Is Suitable for Color Face Recognition?.” Neurocomputing, vol. 73, pp. 2140-2146.

J. Yang, Chengjun Liu, L. Zhang. 2010. “Color Space Normalization: Enhancing the Discriminating Power of Color Spaces for Face Recognition.” Pattern Recognition, vol. 43, no. 4, pp. 1454-1466.

J. Yang, Chengjun Liu. 2008. “Color Image Discriminant Models and Algorithms for Face Recognition.” IEEE Transactions on Neural Networks, vol. 19, no. 12, pp. 2088–2098.

Z. Liu, Chengjun Liu. 2008. “A Hybrid Color and Frequency Features Method for Face Recognition.” IEEE Transactions on Image Processing, vol. 17, no. 10, pp. 1975–1980.

Z. Liu, Chengjun Liu. 2008. “Fusion of the Complementary Discrete Cosine Features in the YIQ Color Space for Face Recognition.” Computer Vision and Image Understanding, vol. 111, no. 3, pp. 249–262.

Chengjun Liu. 2008. “Clarification of Assumptions in the Relationship between the Bayes Decision Rule and the Whitened Cosine Similarity Measure.” IEEE Transactions on Pattern Analysis and Machine Intelligence,, vol. 30, no. 6, pp. 1116-1117.

Chengjun Liu. 2008. “Learning the Uncorrelated, Independent, and Discriminating Color Spaces for Face Recognition.” IEEE Transactions on Information Forensics and Security,, vol. 3, no. 2, pp. 213-222.

A. Puthenputhussery, S. Chen, J. Lee, L. Spasovic, Chengjun Liu. 2017. “Learning and Recognition Methods for Image Search and Video Retrieval.” In C. Liu (Eds.), pp. 21-43. Springer, 2017.

A. Puthenputhussery, Chengjun Liu. 2017. “Novel Sparse Kernel Manifold Learner for Image Classification Applications.” In C. Liu (Eds.), pp. 91-114. Springer, 2017.

A. Verma, Chengjun Liu. 2017. “SIFT Features in Multiple Color Spaces for Improved Image Classification.” In C. Liu (Eds.), pp. 145-166. Springer, 2017.

Qingfeng Liu, Yukhe Lavinia, Abhishek Verma, Joyoung Lee, Lazar Spasovic, Chengjun Liu. 2017. “Feature Representation and Extraction for Image Search and Video Retrieval.” Springer, 2017.

Ajit Puthenputhussery, Shuo Chen, Joyoung Lee, Lazar Spasovic, Chengjun Liu. 2017. “Learning and Recognition Methods for Image Search and Video Retrieval.” Springer, 2017.

J. Gu, Chengjun Liu. 2012. “Local Texture Descriptors for Biometric Detection: New Local Quaternary Pattern Descriptors and Case Study on Eye Detection.” In K. Saeed and T. Nagashima (Eds.), pp. 129-151. Springer, USA: Biometrics and Kansei Engineering, 2012.

J. Gu, Chengjun Liu. 2012. “Feature Local Binary Patterns.” In C. Liu and V. Mago (Eds.), pp. 1-13. Springer, USA: Cross Disciplinary Biometric Systems, 2012.

Z. Liu, Chengjun Liu. 2012. “Frequency and Color Fusion for Face Verification.” In C. Liu and V. Mago (Eds.), pp. 53-71. Springer, USA: Cross Disciplinary Biometric Systems, 2012.

Z. Liu, Chengjun Liu. 2012. “Gabor-DCT Features with Application to Face Recognition.” In C. Liu and V. Mago (Eds.), pp. 35-51. Springer, USA: Cross Disciplinary Biometric Systems, 2012.

S. Banerji, A. Verma, Chengjun Liu. 2012. “LBP and Color Descriptors for Image Classification.” In C. Liu and V. Mago (Eds.), pp. 205-225. Springer, USA: Cross Disciplinary Biometric Systems, 2012.

Chengjun Liu. 2012. “Mixture of Classifiers for Face Recognition Across Pose.” In C. Liu and V. Mago (Eds.), pp. 73-92. Springer, USA: Cross Disciplinary Biometric Systems, 2012.

Chengjun Liu. 2012. “New Color Features for Pattern Recognition.” In C. Liu and V. Mago (Eds.), pp. 15-34. Springer, USA: Cross Disciplinary Biometric Systems, 2012.

Shuo Chen, Chengjun Liu. 2012. “Various Discriminatory Features for Eye Detection.” In C. Liu and V. Mago (Eds.), pp. 183-203. Springer, USA: Cross Disciplinary Biometric Systems, 2012.

P. Shih, Chengjun Liu. 2012. “Wavelet Features for 3D Face Recognition.” In C. Liu and V. Mago (Eds.), pp. 93-116. Springer, USA: Cross Disciplinary Biometric Systems, 2012.

Chengjun Liu, V. Mago. 2012. “Cross Disciplinary Biometric Systems.” New York, USA: Springer, 2012.

A. Verma, Chengjun Liu. 2012. “Efficient Iris Identification with Improved Segmentation Techniques.” In V.K. Mago and N. Bhatia (Eds.), IGI Global, USA: Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies, 2012.

Shuo Chen, Chengjun Liu. 2012. “Eye Detection Using Color, Haar Features, and Efficient Support Vector Machine.” In V.K. Mago and N. Bhatia (Eds.), IGI Global, USA: Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies, 2012.

Y. Jian, Chengjun Liu. 2011. “Generating-Kernel Based Nonlinear Feature Extraction Methods.” In M.D. Fournier (Eds.), New York, New York, USA: Nova Science Publishers: Perspectives on Pattern Recognition, 2011.

J. Yang, Chengjun Liu, J. Yang. 2010. “Improving the Performance of Color Spaces for Face Recognition by Color Space Normalization and Rotation.” In H. Schuster and W. Metzger (Eds.), pp. 109-129. New York, New York, UNITED STATES: Nova Science Publishers: Biometrics: Methods, Applications and Analyses, 2010.

J. Yang, Chengjun Liu, J. Yang. 2008. “Discriminating Color Faces For Recognition.” In K. Delac, M. Grgic and M.S. Bartlett (Eds.), pp. 207-222. Vienna/I-Tech Education and Publishing, Austria: Recent Advances in Face Recognition, 2008.