2023

1. H. Ghahremannezhad, H. Shi and C. Liu, "Object Detection in Traffic Videos: A Survey", IEEE Transactions on Intelligent Transportation Systems, vol. 24, issue 7, pp. 6780-6799, 2023.
2. G. Liu, N. Furth, H. Shi, A. Khreishah, J. Lee, N. Ansari, C. Liu, and Y. Jararweh, "Federated Learning Aided Deep Convolutional Neural Network Solution for Smart Traffic Management", IEEE/IFIP Network Operations and Management Symposium, 8–12 May, 2023, Miami, FL, USA
3. H. Ghahremannezhad, C. Liu, and H. Shi, "Intelligent Traffic Video Analytics", in Intelligent Image and Video Analytics: Clustering and Classification Applications, E. El-Alfy, G. Bebis, M. Zhou, Eds., CRC Press, 2023
   

2022

1. G. Liu, H. Shi, A. Kiani, A. Khreishah, J. Lee, N. Ansari, C. Liu, and M. Yousef, "Smart Traffic Monitoring System Using Computer Vision and Edge Computing", IEEE Transactions on Intelligent Transportation Systems, vol. 23, issue 8, pp. 12027-12038, DOI: 10.1109/TITS.2021.3109481, 2022.
2. H. Shi, H. Ghahremannezhad, and C. Liu, "Unsupervised Anomaly Detection in Traffic Surveillance Based on Global Foreground Modeling", the 2022 IEEE International Conference on Imaging Systems and Techniques, IST 2022, June 21-23, 2022, Virtual.
3. H. Ghahremannezhad, H. Shi and C. Liu, "Real-Time Hysteresis Foreground Detection in Video Captured by Moving Cameras", the 2022 IEEE International Conference on Imaging Systems and Techniques, IST 2022, June 21-23, 2022, Virtual.
4. H. Ghahremannezhad, H. Shi and C. Liu, "Real-Time Accident Detection in Traffic Surveillance Using Deep Learning", the 2022 IEEE International Conference on Imaging Systems and Techniques, IST 2022, June 21-23, 2022, Virtual.
5. H. Ghahremannezhad, H. Shi and C. Liu, "Illumination-Aware Image Segmentation for Real-Time Moving Cast Shadow Suppression", the 2022 IEEE International Conference on Imaging Systems and Techniques, IST 2022, June 21-23, 2022, Virtual.
6. H. Ghahremannezhad, C. Liu and H. Shi, "Ammunition Component Classification Using Deep Learning", the 18th International Conference on Machine Learning and Data Mining, MLDM 2022, July 16-21, 2022, New York, USA.
7. H. Ghahremannezhad, C. Liu and H. Shi, "Traffic Surveillance Video Analytics: A Concise Survey", the 18th International Conference on Machine Learning and Data Mining, MLDM 2022, July 16-21, 2022, New York, USA.
   

2021

1. H. Shi, H. Ghahremannezhad and C. Liu, "Anomalous Driving Detection for Traffic Surveillance Video Analysis", the 2021 IEEE International Conference on Imaging Systems and Techniques, IST 2021, August 24-26, 2021, New York, USA.
2. H. Shi and C. Liu, "An Innovative Video Quality Assessment Method and An Impairment Video Dataset", the 2021 IEEE International Conference on Imaging Systems and Techniques, IST 2021, August 24-26, 2021, New York, USA.
3. H. Ghahremannezhad, H. Shi and C. Liu, "A New Online Approach for Moving Cast Shadow Suppression in Traffic Videos", the 24th IEEE International Conference on Intelligent Transportation Systems, ITSC 2021, September 19-22, 2021, Indianapolis, IN, United States.

2020

1. H. Shi and C. Liu, "A New Cast Shadow Detection Method for Traffic Surveillance Video Analysis Using Color and Statistical Modeling", Image and Vision Computing, 94, 103863, 2020.
2. H. Ghahremannezhad, H. Shi and C. Liu, "Robust Road Region Extraction in Video Under Various Illumination and Weather Conditions", Fourth IEEE International Conference on Image Processing, Applications and Systems, 9-11 December 2020, Genova, Italy.
3. H. Shi, H. Ghahremannezhad and C. Liu, "A Statistical Modeling Method for Road Recognition in Traffic Video Analytics", the 11th IEEE  International Conference on Cognitive Infocommunications, Sep 23-25, 2020.
   
4. H. Ghahremannezhad, H. Shi and C. Liu, "A Real Time Accident Detection Framework for Traffic Video Analysis", the 16th International Conference on Machine Learning and Data Mining, July 18-23, 2020.
5. H. Ghahremannezhad, H. Shi and C. Liu, "Automatic Road Detection in Traffic Videos", 10th IEEE International Conference on Big Data and Cloud Computing, December 17-19, 2020.
6. H. Ghahremannezhad, H. Shi and C. Liu, " A New Adaptive Bidirectional Region-of-Interest Detection Method for Intelligent Traffic Video Analysis", the 3rd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, December 9-11, 2020.

2019

1. H. Shi and C. Liu, "Moving Cast Shadow Detection in Video Based on New Chromatic Criteria and Statistical Modeling", the 18th IEEE International Conference on Machine Learning and Applications (ICMLA 2019), December 16-19, Boca Raton, Florida, USA
   
2. H. Shi and C. Liu, "An Unsupervised Statistical Moving Shadow Detection Method for Video Analysis", the 15th International Conference on Machine Learning and Data Mining, July 20-25, 2019, New York, USA.
3. M. Faruque, H. Ghahremannezhad, and C. Liu, "Vehicle Classification in Video Using Deep Learning", the 15th International Conference on Machine Learning and Data Mining, July 20-25, 2019, New York, USA.

2018

1. A. Kiani, G. Liu, H. Shi, A. Khreishah, N. Ansari, J. Lee, and C. Liu, "A Two-Tier Edge Computing Based Model for Advanced Traffic Detection", the Fifth International Conference on Internet of Things: Systems, Management and Security (IoTSMS 2018), October 15-18, 2018, Valencia, Spain.
2. H. Shi and C. Liu, "A New Foreground Segmentation Method for Video Analysis in Different Color Spaces", the 24th International Conference on Pattern Recognition, August 20-24, 2018, Beijing, China.
3. H. Shi and C. Liu, "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, New York, USA.
4. A. Puthenputhussery, Q. Liu, and C. Liu, "Multiple Anthropological Fisher Kernel  Framework And its Application to Kinship Verification", the IEEE Winter Conference on Applications of Computer Vision, March 12-14, 2018, Lake Tahoe, NV/CA, USA.
5. A. Puthenputhussery, Q. Liu, H. Liu, and C. Liu, "Generative and Discriminative Sparse Coding for Image Classification Applications", the IEEE Winter Conference on Applications of Computer Vision, March 12-14, 2018, Lake Tahoe, NV/CA, USA.

2017

1. Q. Liu and C. Liu, "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, 2017.
2. A. Puthenputhussery, Q. Liu, and C. Liu, "A Sparse Representation Model Using the Complete Marginal Fisher Analysis Framework And Its Applications to Visual Recognition", IEEE Transactions on Multimedia, vol. 19, pp. 1757-1770, 2017.
3. C. Liu, Ed., Recent Advances in Intelligent Image Search and Video Retrieval, Springer, 2017.
4. Q. Liu, Y. Lavinia, A. Verma, J. Lee, L. Spasovic, and C. Liu, "Feature Representation and Extraction for Image Search and Video Retrieval", in Recent Advances in Intelligent Image Search and Video Retrieval, C. Liu, Ed., Springer, pp. 1-19, 2017.
5. A. Puthenputhussery, S. Chen, J. Lee, L. Spasovic, and C. Liu, "Learning and Recognition Methods for Image Search and Video Retrieval", in Recent Advances in Intelligent Image Search and Video Retrieval, C. Liu, Ed., Springer, pp. 21-43, 2017.
6. Q. Liu and C. Liu, "Improved Soft Assignment Coding for Image Classification", in Recent Advances in Intelligent Image Search and Video Retrieval, C. Liu, Ed., Springer, pp. 45-63, 2017.
7. Q. Liu and C. Liu, "Inheritable Color Space (InCS) and Generalized InCS Framework with Applications to Kinship Verification", in Recent Advances in Intelligent Image Search and Video Retrieval, C. Liu, Ed., Springer, pp. 65-89, 2017.
8. A. Puthenputhussery and C. Liu, "Novel Sparse Kernel Manifold Learner for Image Classification Applications", in Recent Advances in Intelligent Image Search and Video Retrieval, C. Liu, Ed., Springer, pp. 91-114, 2017.
9. S. Chen and C. Liu, "A New Efficient SVM (eSVM) with Applications to Accurate and Efficient Eye Search in Images", in Recent Advances in Intelligent Image Search and Video Retrieval, C. Liu, Ed., Springer, pp. 115-144, 2017.
10. A. Verma and C. Liu, "SIFT Features in Multiple Color Spaces for Improved Image Classification", in Recent Advances in Intelligent Image Search and Video Retrieval, C. Liu, Ed., Springer, pp. 145-166, 2017.

2016

1. A. Puthenputhussery, Q. Liu, and C. Liu, "Sparse Representation Based Complete Kernel Marginal Fisher Analysis Framework for Computational Art Painting Categorization", the 14th European Conference on Computer Vision, ECCV 2016, October 8-16, 2016, Amsterdam, the Netherlands.
2. A. Puthenputhussery, Q. Liu, and C. Liu, "SIFT Flow Based Genetic Fisher Vector Feature for Kinship Verification", the 23rd IEEE International Conference on Image Processing, September 25-28, 2016, Phoenix, Arizona, USA.
3. A. Puthenputhussery, Q. Liu, and C. Liu, "Color Multi-Fusion Fisher Vector Feature for Fine Art Painting Categorization and Influence Analysis", the IEEE Winter Conference on Applications of Computer Vision, March 7-9, 2016, Lake Placid, New York.
4. Q. Liu, A. Puthenputhussery, and C. Liu, "A Novel Inheritable Color Space with Application to Kinship Verification", the IEEE Winter Conference on Applications of Computer Vision, March 7-9, 2016, Lake Placid, New York.

2015

1. S. Chen and C. Liu, "Eye detection using discriminatory Haar features and a new efficient SVM", Image and Vision Computing, vol. 33, pp. 68-77, 2015.
2. Q. Liu and C. Liu, "A Novel Locally Linear KNN Model for Visual Recognition", the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2015, June 8-10, 2015, Boston, MA.
   
3. Q. Liu, A. Puthenputhussery, and C. Liu, "Improving the Soft-Assignment Coding While Keeping its Efficiency", the IEEE International Conference on Image Processing, September 27-30, 2015, Quebec City, Canada.
4. Q. Liu, A. Puthenputhussery, and C. Liu, "Learning the Discriminative Dictionary for Sparse Representation by a General Fisher Regularized Model", the IEEE International Conference on Image Processing, September 27-30, 2015, Quebec City, Canada.
5. Q. Liu, A. Puthenputhussery, and C. Liu, "Inheritable Fisher Vector Feature for Kinship Verification", the IEEE Seventh International Conference on Biometrics: Theory, Applications and Systems (BTAS 2015), September 8-11, 2015, Arlington, VA.

2014

1. S. Chen and C. Liu, "Clustering-based Discriminant Analysis for Eye Detection", IEEE Transactions on Image Processing, vol. 23, no. 4, pp. 1629-1638, 2014.
2. C. Liu, "Discriminant Analysis and Similarity Measure", Pattern Recognition, vol. 47, no. 1, pp. 359-367, 2014.
3. A. Sinha, S. Banerji, and C. Liu, "New Color GPHOG Descriptors for Object and Scene Image Classification", Machine Vision and Applications, vol. 25, no. 2, pp. 361-375, 2014.
4. A. Sinha, S. Banerji, and C. Liu, "Scene Image Classification using a Wigner-Based Local Binary Patterns Descriptor", the 2014 International Joint Conference on Neural Networks, July 6-11, Beijing, China, 2014.
5. Q. Liu and C. Liu, "A New Locally Linear KNN Method with an Improved Marginal Fisher Analysis for Image Classification", International Joint Conference on Biometrics, 29 September - 2 October 2014, Clearwater, Florida, USA.
6. Q. Liu and C. Liu, "A Novel Hierarchical Interaction Model and HITS Map for Action Recognition in Static Images", IEEE International Conference on Systems, Man, and Cybernetics, October 5-8, 2014, Paradise Point Resort and Spa, San Diego, CA, USA.

2013

1. C. Liu, "Effective Use of Color Information for Large Scale Face Verification", Neurocomputing, vol. 101, pp. 43-51, 2013.
   
2. J. Gu and C. Liu, "Feature Local Binary Patterns with Application to Eye Detection", Neurocomputing, vol. 113, pp. 138-152, 2013.
   
3. S. Banerji, A. Sinha, and C. Liu, "New Image Descriptors Based on Color, Texture, Shape, and Wavelets for Object and Scene Image Classification", Neurocomputing, vol. 117, pp. 173-185, 2013.
4. S. Banerji, A. Sinha, and C. Liu, "A New Bag of Words LBP (BoWL) Descriptor for Scene Image Classification", 15th international conference on Computer Analysis of Images and Patterns, August 27-29, York, UK, 2013.
5. S. Banerji, A. Sinha, and C. Liu, "HaarHOG: Improving the HOG Descriptor for Image Classification", IEEE International Conference on Systems, Man, and Cybernetics, October 13-16, Manchester, UK, 2013.
   

2012

1. C. Liu and V. Mago, Eds., Cross Disciplinary Biometric Systems, Springer, 2012.
   
2. A. Verma, C. Liu, and J. Jia, "Iris Recognition Based on Robust Iris Segmentation and Image Enhancement", International Journal of Biometrics, vol. 4, no. 1, pp. 56\9676, 2012.
3. C. Liu, "Mixture of Classifiers for Face Recognition Across Pose", in Cross Disciplinary Biometric Systems, C. Liu and V. Mago, Eds., Springer, pp. 73-92, 2012.
4. C. Liu, "New Color Features for Pattern Recognition", in Cross Disciplinary Biometric Systems, C. Liu and V. Mago, Eds., Springer, pp. 15-34, 2012.
   
5. P. Shih and C. Liu, "Wavelet Features for 3D Face Recognition", in Cross Disciplinary Biometric Systems, C. Liu and V. Mago, Eds., Springer, pp. 93-116, 2012.
6. J. Gu and C. Liu, "Feature Local Binary Patterns", in Cross Disciplinary Biometric Systems, C. Liu and V. Mago, Eds., Springer, pp. 1-13, 2012.
   
7. Z. Liu and C. Liu, "Frequency and Color Fusion for Face Verification", in Cross Disciplinary Biometric Systems, C. Liu and V. Mago, Eds., Springer, pp. 53-71, 2012.
   
8. S. Chen and C. Liu, "Various Discriminatory Features for Eye Detection", in Cross Disciplinary Biometric Systems, C. Liu and V. Mago, Eds., Springer, pp. 183-203, 2012.
   
9. S. Banerji, A. Verma, and C. Liu, "LBP and Color Descriptors for Image Classification", in Cross Disciplinary Biometric Systems, C. Liu and V. Mago, Eds., Springer, pp. 205-225, 2012.
   
10. Z. Liu and C. Liu, "Gabor-DCT Features with Application to Face Recognition", in Cross Disciplinary Biometric Systems, C. Liu and V. Mago, Eds., Springer, pp. 35-51, 2012.
11. S. Chen and C. Liu, "Eye Detection Using Color, Haar Features, and Efficient Support Vector Machine", in Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies, V. Mago and N. Bhatia, Eds., IGI Global, USA, pp. 286-309, 2012.
12. A. Verma and C. Liu, "Efficient Iris Identification with Improved Segmentation Techniques", in Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies, V. Mago and N. Bhatia, Eds., IGI Global, USA, pp. 148-164, 2012.
13. J. Gu and C. Liu, "Local Texture Descriptors for Biometric Detection: New Local Quaternary Pattern Descriptors and Case Study on Eye Detection", in Biometrics and Kansei Engineering, K. Saeed and T. Nagashima, Eds., Springer, pp. 129-151, 2012.
14. A. Sinha, S. Banerji, and C. Liu, "Gabor-Based Novel Local, Shape and Color Features for Image Classification", the 19th International Conference on Neural Information Processing, November 12-15, Doha, Qatar, 2012.
15. S. Banerji, A. Sinha, and C. Liu, "Scene Image Classification: Some Novel Descriptors", IEEE International Conference on Systems, Man, and Cybernetics, October 14-17, Seoul, Korea, 2012.
16. J. Gu and C. Liu,  "Local Quaternary Patterns and Feature Local Quaternary Patterns", 16th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July 16-19, Las Vegas, Nevada, USA, 2012.
17. S. Banerji, A. Sinha, and C. Liu, "Novel Color HWML Descriptors for Scene and Object Image Classification", the 3rd International Conference on Image Processing Theory, Tools & Applications, October 15-18, Istanbul, Turkey, 2012.
18. A. Sinha, S. Banerji, and C. Liu, "Gabor-Based Novel Color Descriptors for Object and Scene Image Classification", 16th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July 16-19, Las Vegas, Nevada, USA, 2012.
19. S. Banerji, A. Sinha, and C. Liu, "Object and Scene Image Classification Using Unconventional Color Descriptors", 16th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July 16-19, Las Vegas, Nevada, USA, 2012.
20. J. Gu and C. Liu, "A New Feature Local Binary Patterns (FLBP) Method", 16th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July 16-19, Las Vegas, Nevada, USA, 2012.
21. A. Sinha, S. Banerji, and C. Liu, "Novel Color Gabor-LBP-PHOG (GLP) Descriptors for Object and Scene Image Classification", The Eighth Indian Conference on Vision, Graphics and Image Processing, December 16-19, Mumbai, India, 2012.
22. A. Sinha, S. Banerji, and C. Liu, "Novel Gabor-PHOG Features for Object and Scene Image Classification", in Structural, Syntactic, and Statistical Pattern Recognition, Lecture Notes in Computer Science, Volume 7626, pp 584-592, 2012.
23. A. Sinha, S. Banerji, and C. Liu, "Novel Color, Shape and Texture-based Scene Image Descriptors", IEEE International Conference on Intelligent Computer Communication and Processing, August 30- September 1, Cluj-Napoca, Romania, 2012.

2011

1. C. Liu, "Extracting Discriminative Color Features for Face Recognition", Pattern Recognition Letters, vol. 32, no. 14, pp. 1796\961804, 2011.
2. P. Shih and C. Liu, "An Effective Color Feature Extraction Method Using Evolutionary Computation for Face Recognition", International Journal of Biometrics, vol. 3, no. 3, pp. 206\96227, 2011.
3. A. Verma, C. Liu, and J. Jia, "New Color SIFT Descriptors for Image Classification with Applications to Biometrics", International Journal of Biometrics, vol. 3, no. 1, pp. 56\9675, 2011.
4. J. Yang and C. Liu, "Generating-Kernel Based Nonlinear Feature Extraction Methods", in Perspectives on Pattern Recognition, M.D. Fournier, Eds., Nova Science Publishers, New York, USA, pp. 87-111, 2011.
5. S. Chen and C. Liu, "Fast Eye Detection Using Different Color Spaces", IEEE International Conference on Systems, Man, and Cybernetics, October 9-12, Anchorage, Alaska, USA, pp. 521-526, 2011.
6. S. Chen and C. Liu, "Discriminant Analysis of Haar Features for Accurate Eye Detection", 15th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July 18-21, Las Vegas, Nevada, USA, pp. 917-923, 2011.
7. S. Chen and C. Liu, "Precise Eye Detection Using Discriminating HOG Features", 14th International Conference on Computer Analysis of Images and Patterns, August 29-31, Seville, Spain, pp. 443-450, 2011.
   
8. S. Banerji, A. Verma, and C. Liu, "Novel Color LBP Descriptors for Scene and Image Texture Classification", 15th International Conference on Image Processing, Computer Vision, and Pattern Recognition, July 18-21, Las Vegas, Nevada, USA, pp. 537-543, 2011.
9. S. Chen and C. Liu, "A New Efficient SVM and Its Application to A Real-time Accurate Eye Localization System", International Joint Conference on Neural Networks (IJCNN), July 31 - August 5, San Jose, California, USA, pp. 2520-2527, 2011.
   
10. A. Verma and C. Liu, "Fusion of Color SIFT Features for Image Classification with Applications to Biometrics", The Eleventh IAPR International Conference on Pattern Recognition and Information Processing, May 18-20, Minsk, Belarus, 2011.
11. A. Verma and C. Liu, "Novel EFM-KNN Classifier and a New Color Descriptor for Image Classification", IEEE Wireless and Optical Communications Conference, April 15-16, Newark, New Jersey, USA, pp. 1-6, 2011.

2010

1. Z. Liu, J. Yang, and C. Liu, "Extracting Multiple Features in the CID Color Space for Face Recognition", IEEE Transactions on Image Processing, vol. 19, no. 9, pp. 2502\962509, 2010.
2. J. Yang, C. Liu, and L. Zhang, "Color Space Normalization: Enhancing the Discriminating Power of Color Spaces for Face Recognition", Pattern Recognition, vol. 43, no. 4, pp. 1454-1466, 2010.
3. Z. Liu and C. Liu, "Fusion of Color, Local Spatial and Global Frequency Information for Face Recognition", Pattern Recognition, vol. 43, no. 8, pp. 2882-2890, 2010.
4. J. Yang, C. Liu, and J. Yang, "What Kind of Color Spaces Is Suitable for Color Face Recognition?", Neurocomputing, vol. 73, pp. 2140-2146, 2010.
5. J. Yang, C. Liu, and J. Yang, "Improving the Performance of Color Spaces for Face Recognition by Color Space Normalization and Rotation", in Biometrics: Methods, Applications and Analyses, H. Schuster and W. Metzger, Eds., Nova Science Publishers, New York, USA, pp. 109-129, 2010.
6. A. Verma, S. Banerji, and C. Liu, "A New Color SIFT Descriptor and Methods for Image Category Classification", the 2010 International Congress on Computer Applications and Computational Science, December 4-6, Singapore, pp. 819-822, 2010.
7. S. Chen and C. Liu, "Eye Detection Using Color Information and a New Efficient SVM", Fourth IEEE International Conference on Biometrics Theory, Applications and Systems, Sept. 27-29, Washington DC, USA, pp. 1-6, 2010.

2009

1. C. Liu and J. Yang, "ICA Color Space for Pattern Recognition", IEEE Transactions on Neural Networks, vol. 20, no. 2, pp. 248-257, 2009.
2. Z. Liu and C. Liu, "Robust Face Recognition Using Color Information", Lecture Notes In Computer Science, vol. 5558, Proceedings of the 3rd IAPR/IEEE International Conference on Biometrics, June 2-5, Alghero, Italy, pp. 122-131, 2009.
3. Z. Liu, C. Liu, and Q. Tao, "Learning-based Image Representation and Method for Face Recognition", IEEE Third International Conference on Biometrics: Theory, Applications and Systems, Sept. 28-30, Washington DC, pp. 283-288, 2009.

2008

1. C. Liu, "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, 2008.
2. C. Liu, "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, 2008.
3. J. Yang and C. Liu, "Color Image Discriminant Models and Algorithms for Face Recognition", IEEE Transactions on Neural Networks, vol. 19, no. 12, pp. 2088\962098, 2008.
4. Z. Liu and C. Liu, "A Hybrid Color and Frequency Features Method for Face Recognition", IEEE Transactions on Image Processing, vol. 17, no. 10, pp. 1975\961980, 2008.
5. Z. Liu and C. Liu, "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\96262, 2008.
6. J. Yang, C. Liu, and J. Yang, "Discriminating Color Faces For Recognition", in Recent Advances in Face Recognition, K. Delac, M. Grgic and M.S. Bartlett, Eds., I-Tech Education and Publishing, pp. 207-222, 2008.
7. J. Yang and C. Liu, "A Discriminant Color Space Method for Face Representation and Verification on a Large-scale Database", the 19th International Conference on Pattern Recognition, December 8-11, Tampa, Florida, USA, pp. 1-4, 2008.
8. Z. Liu and C. Liu, "Fusing Frequency, Spatial and Color Features for Face Recognition", IEEE Second International Conference on Biometrics: Theory, Applications and Systems, Sept 29 - Oct 1, Arlington, Virginia, USA, pp. 1-6, 2008.

2007

1. C. Liu, "The Bayes Decision Rule Induced Similarity Measures", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 6, pp. 1086-1090, 2007.
2. J. Yang and C. Liu, "Horizontal and Vertical 2DPCA-Based Discriminant Analysis for Face Verification on a Large-scale Database", IEEE Transactions on Information Forensics and Security, vol. 2, no. 4, pp. 781-792, 2007.
3. J. Yang and C. Liu, "A General Discriminant Model for Color face Recognition", the Eleventh IEEE International Conference on Computer Vision (ICCV), October 14-20, Rio de Janeiro, Brazil, pp. 1-6, 2007.
   
4. J. Yang and C. Liu, "Horizontal and Vertical 2DPCA based Discriminant Analysis for Face Verification Using the FRGC Version 2 Database", Lecture Notes In Computer Science, vol. 4642, Proceedings of the 2nd International Conference on Biometrics, August 27-29, Korea University, Seoul, Korea, pp. 838-847, 2007.

2006

1. C. Liu, "Capitalize on Dimensionality Increasing Techniques for Improving Face Recognition Grand Challenge Performance", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 5, pp. 725-737, 2006.
2. P. Shih and C. Liu, "Face Detection Using Discriminating Feature Analysis and Support Vector Machine", Pattern Recognition, vol. 39, no. 2, pp. 260-276, 2006.
3. P. Shih and C. Liu, " Improving the Face Recognition Grand Challenge Baseline Performance Using Color Configurations Across Color Spaces", IEEE International Conference on Image Processing, October 8-11, Atlanta, GA, pp. 1001-1004, 2006.

2005

1. P. Shih and C. Liu, "Comparative Assessment of Content-Based Face Image Retrieval in Different Color Spaces", International Journal of Pattern Recognition and Artificial Intelligence, vol. 19, no. 7, pp. 873-893, 2005.
2. C. Liu, and H. Wechsler, "Face Recognition", in Biometric Systems: Technology, Design and Performance Evaluation, J. Wayman, A. Jain, D. Maltoni, and D. Maio Eds.,Springer-Verlag, pp. 97-114, 2005.
3. C. Liu, "Robust Face Detection Using Discriminant Feature Analysis and the Bayes Classifier", Proceedings of SPIE - The International Society for Optical Engineering, vol. 5779, pp. 164-172, Orlando, FL, March 28 - April 1, 2005.
4. P. Shih and C. Liu, "Evolving Effective Color Features for Improving FRGC Baseline Performance", IEEE Workshop on Face Recognition Grand Challenge Experiments, 21 June 2005, San Diego, CA.
5. P. Shih and C. Liu, "Comparative Assessment of Content-Based Face Image Retrieval in Different Color Spaces", Lecture Notes in Computer Science, vol. 3546, Proceedings of the 5th International Conference on Audio- and Video-Based Biometric Person Authentication, pp. 1039-1048, AVBPA, Rye Brook, NY, July 20 - 22, 2005.
6. P. Shih and C. Liu, "Face Detection Using Discriminating Feature Analysis and Support Vector Machine", International Conference of Computational Intelligence and Multimedia Applications, pp. 327-332, August 16 - 18, 2005, University of Nevada, Las Vegas, USA.
7. P. Shih and C. Liu, "Extracting Efficient Color Features for Face Recognition Using Evolutionary Computation", International Conference of Computational Intelligence and Multimedia Applications, pp. 285-290, August 16 - 18, 2005, University of Nevada, Las Vegas, USA.

2004

1. C. Liu, "Gabor-based Kernel PCA with Fractional Power Polynomial Models for Face Recognition", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 5, pp. 572-581, 2004.
   
2. C. Liu, "Enhanced Independent Component Analysis and Its Application to Content Based Face Image Retrieval", IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 34, no. 2, pp. 1117-1127, 2004.
3. C. Liu, "Kernel Fisher Linear Discriminant with Fractional Power Polynomial Models for Face Recognition", Proceedings of SPIE - The International Society for Optical Engineering, vol. 5404, pp. 136-143, Orlando, FL, April 12-16, 2004.
4. P. Shih and C. Liu, "Face Detection Using Discriminating Feature Analysis and Support Vector Machine in Video", Proceedings of the 17th International Conference on Pattern Recognition, vol. 2, pp. 407-410, ICPR, Cambridge, United Kingdom, August 23-26, 2004.

2003

1. C. Liu, "A Bayesian Discriminating Features Method for Face Detection", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 6, pp. 725-740, 2003.
2. C. Liu and H. Wechsler, "Independent Component Analysis of Gabor Features for Face Recognition", IEEE Transactions on Neural Networks, vol. 14, no. 4, pp. 919-928, 2003.

2002

1. C. Liu and H. Wechsler, "Gabor Feature Based Classification Using the Enhanced Fisher Linear Discriminant Model for Face Recognition", IEEE Transactions on Image Processing, vol. 11, no. 4, pp. 467-476, 2002.

2001

1. C. Liu and H. Wechsler, "A Shape and Texture Based Enhanced Fisher Classifier for Face Recognition", IEEE Transactions on Image Processing, vol. 10, no. 4, pp. 598-608, 2001.
2. C. Liu and H. Wechsler, "A Gabor Feature Classifier for Face Recognition", Proceedings of the IEEE International Conference on Computer Vision, vol. 2, pp. 270-275, ICCV, Vancouver, Canada, July 9-12, 2001.
3. C. Liu and H. Wechsler, "Face Recognition Using Independent Gabor Wavelet Features", Lecture Notes In Computer Science, vol. 2091, Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication, pp. 20-25, AVBPA, Halmstad, Sweden, June 6-8, 2001.
4. S. Gutter, J. Hung, C. Liu, and H. Wechsler, "Comparative Performance Evaluation of Gray Scale and Color Information for Face Recognition Tasks", Lecture Notes In Computer Science, vol. 2091, Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication, pp. 38-43, AVBPA, Halmstad, Sweden, June 6-8, 2001.

2000

1. C. Liu and H. Wechsler, "Evolutionary Pursuit and Its Application to Face Recognition", IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 22, no. 6, pp. 570-582, 2000.
2. C. Liu and H. Wechsler, "Robust Coding Schemes for Indexing and Retrieval from Large Face Database", IEEE Transactions on Image Processing, vol. 9, no. 1, pp. 132-137, 2000.
3. C. Liu and H. Wechsler (Invited Paper), "Learning the Face Space - Representation and Recognition", Proceedings of the 15th International Conference on Pattern Recognition, vol. 1, pp. 249 - 256, ICPR, Barcelona, Spain, September 3-8, 2000.

1999

1. C. Liu and H. Wechsler, "Face Recognition Using Shape and Texture", Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 598-603, CVPR, June 23-25, 1999, Fort Colleens, CO.
2. C. Liu and H. Wechsler, "Comparative Assessment of Independent Component Analysis (ICA) for Face Recognition", Proceedings of the Second  International Conference on Audio- and Video-based Biometric Person Authentication, pp. 211-216, AVBPA, Washington D. C., March 22-24, 1999.
3. C. Liu and H. Wechsler (Invited Paper), "An Integrated Shape and Intensity Coding Scheme for Face Recognition",  Proceedings of the International Joint Conference on Neural Networks, vol. 5, pp. 3300-3304, IJCNN, July 10-16, 1999, Renaissance Hotel, Washington, DC.

1998

1. C. Liu and H. Wechsler, "Probabilistic Reasoning Models for Face Recognition", Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 827-832, CVPR, Santa Barbara, CA, June 23-25, 1998.
2. C. Liu and H. Wechsler, "Face Recognition Using Evolutionary Pursuit", Lecture Notes In Computer Science, vol. 1407, Proceedings of the 5th European Conference on Computer Vision, vol. 2, pp. 596 - 612, ECCV, University of Freiburg, Germany, June 2-6, 1998.
3. J. Huang, C. Liu, and H. Wechsler, "Eye Detection and Face Recognition Using Evolutionary Computation", in Face Recognition: From Theory to Applications, H. Wechsler, P. Phillips, V. Bruce, F. Soulie, and T. Huang Eds., Springer-Verlag, pp. 348-377, 1998.
4. C. Liu and H. Wechsler, "A Unified Bayesian Framework for Face Recognition", Proceedings of the IEEE International Conference on Image Processing, vol. 1, pp. 151-155, ICIP, Chicago, IL, October 4-7, 1998.
5. C. Liu and H. Wechsler, "Enhanced Fisher Linear Discriminant Models for Face Recognition", Proceedings of the 14th International Conference on Pattern Recognition, vol.2, pp. 1368 - 1372, ICPR, Brisbane, Australia, August 17-20, 1998.
6. C. Liu and H. Wechsler, "Evolution of Optimal Projection Axes (OPA) for Face Recognition", Proceedings of the Third IEEE International Conference on Automatic Face and Gesture Recognition, pp. 282 - 287. FG, Nara, Japan, April 14-16, 1998.

1997

1. C. Liu and R. Dai, "Generalized Linear  Octree and the Generalized 3D Reconstruction", Chinese Journal of Automation (a.k.a. Zidonghua Xuebao/Acta Automatica Sinica), Vol. 23, No. 5, pp. 694-697, 1997.
2. C. Liu and R. Dai, "Discrete Linear Transformations of Binary Images Based Upon Neighborhood Features", Chinese Journal of Automation (a.k.a. Zidonghua Xuebao/Acta Automatica Sinica), Vol. 23, No. 2, pp. 271-274, 1997.

1996

1. C. Liu and R. Dai, "Integrating Principal Axes Method and Moment Method for 3D Objects Normalization and Recognition", Chinese Journal of Automation (a.k.a. Zidonghua Xuebao/Acta Automatica Sinica), Vol. 22, No. 6, pp. 672-679, 1996.
2. C. Liu and R. Dai, "Point Governed Region Method for Discrete Linear Transformations of Digital Images", Chinese Journal of Computers, Vol. 19, No. 12, pp. 903-908, 1996.
3. C. Liu and R. Dai, "Normalization of the spatial Orientation of 3D Objects", Chinese Journal of Computers, Vol. 19, No. 4, pp. 308-312, 1996.

1995

1. C. Liu and R. Dai, "Progresses in Computer Vision", Chinese Journal of Pattern Recognition and Artificial Intelligence, Vol. 8, pp. 59-71, Dec., 1995.
2. C. Liu and R. Dai, "Discrete Techniques for Linear Transformations of Digital Images Based on Neighborhood Features", International Conference on Neural Networks and Signal Processing, ICNNSP, Nanjing, China, Dec. 10-13, 1995.
3. C. Liu and R. Dai, "An Easy Way to Derive 3D Moment Invariants for Three-Dimensional Objects Normalization and Recognition", Second Asian Conference on Computer Vision, ACCV, Singapore, Dec. 5-8, 1995.
4. C. Liu and R. Dai, "Discrete Techniques for Affine Transformations of Digital Images", Annual Conference of Chinese Electronics, ACCE, Xi'an, China, Sept. 15-18, 1995.