Papers/Presentations/Demos/Posters/Technical Reports/Patents

We have published the source code for most of our important papers for other researchers to evaluate and further develop the work. Please see CodeSoftwareDatasets for more detail. Contact baoxin.li at asu.edu if you would like to have a pre-print copy of a publication.

2024:

T. Zhang, K. Kasichainula, Y. Zhuo, B. Li, J. Seo, Y. Cao, "Transformer-based Selective Super-Resolution for Efficient Image Refinement", The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024.
Md M. Rahman Siddiquee, J. Shah, T. Wu, C. Chong, T. J. Schwedt, G. Dumkrieger, S. Nikolova, B. Li, "Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images", IEEE Winter Conference on Applications of Computer Vision (WACV), 2024.
Y. Zhuo, B. Li, "FELGA: Unsupervised Fragment Embedding for Fine-Grained Cross-Modal Association", IEEE WACV, 2024.
J. Shah, Md M. Rahman Siddiquee, Y. Su, T. Wu, B. Li, "Ordinal Classification With Distance Regularization for Robust Brain Age Prediction", IEEE WACV, 2024.

2023:

K. Kasichainula, T. Zhang, Y. Zhuo, J. Seo, B. Li, Y. Cao, "Selective Attention for High-throughput and Energy-efficient Imaging", IEEE Asilomar Conference on Signals, Systems, and Computers, 2023.
Demo: "Demonstrating Kinect2-based Spinal Pose Visualization During At-home Physical Therapy Exercise", PDF description., A short video demo.
Y. Tang, K. Chang, M. Huang, and B. Li, "BMISP: Bidirectional mapping of image signal processing pipeline", Signal Processing, Vol. 212, 2023. (https://doi.org/10.1016/j.sigpro.2023.109135)
R. Paul, S. Vora, and B. Li, "Instance Adaptive Prototypical Contrastive Embedding for Generalized Zero Shot Learning", IJCAI 2023 Workshop on Generalizing from Limited Resources in the Open World, (Best Paper Award), 2023. (https://sites.google.com/view/glow-ijcai-23/schedule?authuser=0)
Y. Ding, H. Feng, Y. Yang, J. Holmes, Z. Liu, D. Liu, W. W. Wong, N.Y. Yu, T. T. Sio, S.E. Schild, B. Li, W. Liu, "Deep-learning based fast and accurate 3D CT deformable image registration in lung cancer", Medical Physics, 2023; 1-17. https://doi.org/10.1002/mp.16548.
T. Zhang, K. Kasichainula, DW Jee, I. Yeo, Y. Zhuo, B. Li, JS Seo, Y. Cao, "Improving the Efficiency of CMOS Image Sensors through In-Sensor Selective Attention", IEEE ISCAS, 2023: 1-4
Md M. Rahman Siddiquee, J. Shah, C. Chong, S. Nikolova, G. Dumkrieger, B. Li, T. Wu, T.J. Schwedt, "Headache classification and automatic biomarker extraction from structural MRIs using deep learning", Brain Communications, 5(1), 2023. https://doi.org/10.1093/braincomms/fcac311
S. Chhabra, H. Venkateswara, B. Li, "Generative Alignment of Posterior Probabilities for Source-free Domain Adaptation", IEEE WACV, 2023: 4114-4123.

2022:

K. Chang, H. Li, Y. Tan, P.L.D. Ding, B. Li, “A Two-Stage Convolutional Neural Network for Joint Demosaicking and Super-Resolution”, IEEE Trans. Circuits Syst. Video Technol. , 32(7): 4238-4254 (2022).
S. Chhabra, H. Venkateswara, B. Li, “PatchSwap: A Regularization Technique for Vision Transformers”, BMVC, 2022: 996.
S. Chhabra, H. Venkateswara, B. Li, “PatchRot: A Self-Supervised Technique for Training Vision Transformers”, NeurIPS Workshop (2022).
N. Thakur, B. Li, “PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos”, CVPR Workshops, 2022: 130-137.
Md. Rahman Siddiquee, J. Shah, T. Wu, C. D. Chong, T. J. Schwedt, B. Li, “HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease”, SASHIMI@MICCAI, 2022: 43-54.
Y. Zhuo, Y. Li, J. Hsiao, C. Ho, B. Li, “CLIP4Hashing: Unsupervised Deep Hashing for Cross-Modal Video-Text Retrieval”, ICMR, 2022: 158-166.
B. Jiang, P. Sheth, B. Li, H. Liu, “CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine Hesitancy Research,” Intl. Conf. on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS) , September 20-23, 2022, Pittsburgh.
N. Kim, A. Mosallanezhad, L. Cheng, B. Li, H. Liu, “Bridging the Gap: Commonality and Differences between Online and Offline COVID-19 Data”, SBP-BRiMS 2022: 70-80.
U. Jeong, Z. Alghamdi, K. Ding, L. Cheng, B. Li, H. Liu, “Classifying COVID-19 Related Meta Ads Using Discourse Representation Through a Hypergraph”, SBP-BRiMS 2022: 35-45.

2021:

T. Yu, R. Wang, J. Yan, B. Li, “Deep Latent Graph Matching”, International Conference on Machine Learning (ICML) , 2021.
J. Chen, J. E. Caviedes, B. Li, “Classification of Single-Axis Spinal Motion Using a Wearable System of Stretch Sensors for At-home Physical Therapy”, IEEE EMBC , 2021.
S. Chhabra, H. Venkateswara, B. Li, “Iterative Image Translation for Unsupervised Domain Adaptation”, ACM Multimedia Workshop on Multimedia Understanding with Less Labeling (MULL), 2021.
S. Chhabra, P. Dutta, B. Li, H. Venkateswara,“Glocal Alignment for Unsupervised Domain Adaptation”, ACM Multimedia Workshop on Multimedia Understanding with Less Labeling (MULL), 2021.
Y. Ding, N. Thakur, B. Li. "AdvFoolGen: Creating Persistent Troubles for Deep Classifiers", ICCV Workshop on Adversarial Robustness in the Real World (AROW), 2021.
Y. Ding, N. Thakur, B. Li, “Do GANs Leave Model-specific Fingerprints?”, British Machine Vision Conference (BMVC), 2021.
Y. Zhuo, B Li, “FedNS: Improving Federated Learning for collaborative image classification on mobile clients”, IEEE International Conference on Multimedia and Expo (ICME), 2021.
S. Dave, R. Baghdadi, T. Nowatzki, S. Avancha, A. Shrivastava, B. Li, “Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights”. Proc. IEEE, 109(10): 1706-1752 (2021)

2020:

Y. Li, T. Yu, B. Li, "RhyRNN: Rhythmic RNN for Recognizing Events in Long and Complex Videos", European Conference on Computer Vision (ECCV), 2020.
K. Chang, M. Li, P.L.K Ding, B. Li, "Accurate single image super-resolution using multi-path wide-activated residual network", Signal Processing , 172: 107567, 2020.
L. Tian, Z. Tu, D. Zhang, J. Liu, B. Li, J. Yuan, "Unsupervised Learning of Optical Flow With CNN-Based Non-Local Filtering", IEEE Trans. Image Processing , 29: 8429-8442, 2020.
T. Yu, J. Yan, B. Li, "Determinant Regularization for Gradient-Efficient Graph Matching", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
T. Yu, Y. Li, B. Li, "Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient", International Conference on Learning Representations (ICLR) 2020
T. Yu, R. Wang, J. Yan, B. Li, "Learning Deep Graph Matching via Channel-Independent Embedding and Hungarian Attention", International Conference on Learning Representations (ICLR) 2020
J. E. Caviedes, B. Li, V. C Jammula, “Wearable Sensor Array Design for Spine Posture Monitoring During Exercise Incorporating Biofeedback”, IEEE Transactions on Biomedical Engineering, 2020 (Early Access on IEEE Xplore: DOI 10.1109/TBME.2020.2971907)
P.L.K Ding, Z. Li, Y. Zhou, B. Li, "Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition", full manuscript available here https://arxiv.org/abs/2001.04488 (2020)
L. Mi, T. Yu, J. Bento, W. Zhang, B. Li, Y. Wang, "Variational Wasserstein Barycenters for Geometric Clustering", full manuscript available here https://arxiv.org/abs/2002.10543 (2020)
S. Dave, R. Baghdadi, T. Nowatzki, S. Avancha, A. Shrivastava, B. Li, "Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights", full manuscript available here https://arxiv.org/abs/2007.00864 (2020)

2019:

Y. Ding and B. Li, "VSEC-LDA: Boosting Topic Modeling with Embedded Vocabulary Selection", full manuscript available here https://arxiv.org/abs/2001.05578 (Code available here:CodeSoftwareDatasets)
Y. Li, T. Yu, and B. Li, "Recognizing Video Events with Varying Rhythms", full manuscript available here https://arxiv.org/abs/2001.05060 (Code available here: CodeSoftwareDatasets)
V. Gattupalli, Y. Zhuo, B. Li, "Weakly Supervised Deep Image Hashing using Tag Embedding", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, pp. 10375-10384. (Code available here: CodeSoftwareDatasets)
K. Chang, X. Zhang, P.L.K Ding, B. Li, "Data-adaptive low-rank modeling and external gradient prior for single image super-resolution", Signal Processing 161: 36-49 (2019). (Code available here: CodeSoftwareDatasets)
Z. Tu, W. Xie, D. Zhang, R. Poppe, R.C. Veltkamp, B. Li, J. Yuan, "A survey of variational and CNN-based optical flow techniques", Signal Processing: Image Communication, 72: 9-24, (2019)
Z. Tu, W. Xie, J. Dauwels, B. Li, J. Yuan, "Semantic Cues Enhanced Multimodality Multistream CNN for Action Recognition", IEEE Trans. on Circuits, System and Video Technology, 29(5): 1423-1437, (2019)
Z. Tu, H. Li, D. Zhang, J. Dauwels, B. Li, J. Yuan, "Action-Stage Emphasized Spatiotemporal VLAD for Video Action Recognition", IEEE Trans. on Image Processing, 28(6): 2799-2812, (2019)
Y. Zha, Y. Li, T. Yu, S. Kambhampati, B. Li, "Plan-Recognition-Driven Attention Modeling for Visual Recognition", AAAI Workshop on Plan, Activity, and Intent Recognition (PAIR) 2019.
P.L.K. Ding, Z. Li, Y. Zhou, B. Li, "Deep residual dense U-Net for resolution enhancement in accelerated MRI acquisition", Medical Imaging: Image Processing 2019.
X. Zhou, P.L.K. Ding, B. Li, "Improving Robustness of Random Forest Under Label Noise", IEEE Winter Conf. on Applications of Computer Vision (WACV) 2019: 950-958.

2018:

T. Yu, J. Yan, W. Liu, B. Li, "Generalizing Graph Matching beyond Quadratic Assignment Model", Conference on Neural Information Processing Systems (NIPS), 2018.
Y. Li, T. Yu, B. Li, "Simultaneous Event Localization and Recognition for Surveillance Video", IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), 2018.
T. Yu, J. Yan, W. Liu, B. Li "Incremental Multi-graph Matching via Diversity and Randomness-based Graph Clustering", European Conference on Computer Vision (ECCV), 2018.
Y. Zha, Y. Li, S. Gopalakrishnan, B. Li, "Recognizing Plans by Learning Embeddings from Observed Action Distributions". In AAMAS 2018.
T. Yu, J. Yan, J. Zhao, B. Li "Joint Cuts and Matching of Partitions in One Graph", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
V. Gattupalli, Baoxin LiB. Li, "Unsupervised Deep Image Hashing through Tag Embeddings", full manuscript available here https://arxiv.org/abs/1806.05804
K. Chang K, P.L.K Ding, B. Li, "Single Image Super Resolution Using Joint Regularization", IEEE Signal Processing Letters, 2018, 25(4): 596-600. (Code available here: CodeSoftwareDatasets)
P.S. Chandakkar, R, Venkatesan, B. Li, "Feature Extraction and Learning for Visual Data", Book Chapter in Feature Engineering for Machine Learning and Data Analytics, Ed. G. Dong & H. Liu, CRC Press, 2018, ISBN-13: 978-1138744387
Y. Li, P.L.K. Ding, B. Li, "Training Neural Networks by Using Power Linear Units (PoLUs)", full manuscript available here https://arxiv.org/abs/1802.00212
Y. Wang, S. Wang, G. Qi, J. Tang, B. Li, "Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network", IEEE Winter Conf. on Applications of Computer Vision (WACV).
K. Chang K, P.L.K. Ding, B. Li, "Single image super-resolution using collaborative representation and non-local self-similarity", Signal Processing, 2018, 149:49-61. (Code available here: CodeSoftwareDatasets)

2017:

Ragav Venkatesan and Baoxin Li, "Convolutional Neural Networks in Visual Computing: A Concise Guide", CRC Press, 2017, ISBN 9781138747951.
P.L.K. Ding, B. Li, K. Chang, "Convex Dictionary Learning for Single Image Super-resolution ", IEEE Intl. Conference on Image Processing (ICIP), September, 2017.
R. Venkatesan, H. Venkateswara, S. Panchanathan, B. Li, "A strategy for an uncompromising incremental learner", full manuscript available here https://arxiv.org/abs/1705.00744
X. Zhou, P. L. K. Ding, B. Li, "Non-negative Dictionary Learning with Pairwise Partial Similarity Constraint", IEEE International Conference on Multimedia and Expo (ICME), 2017.
P.S. Chandakkar, B. Li, "Capturing Localized Image Artifacts through a CNN-based Hyper-image Representation", full manuscript available here https://arxiv.org/abs/1711.04945
P. S. Chandakkar, Y. Li, P.L.K. Ding, B. Li, "Strategies for Re-training a Pruned Network in an Edge Computing Paradigm", IEEE EDGE Computing, 2017.
J. Lagisetty, D.A. Paladugu, B. Li, "Towards Building iBeacon-basedSmart Indoor Environments for Visually Impaired Users", HCI Across Borders Symposium on CHI2018. (http://www.hcixb.org/papers_2017/hcixb17-final-28.pdf)
L. Chen, J. Tang, B. Li, "Embedded Supervised Feature Selection for Multi-class Data", SIAM Intl. Conference on Data Mining (SDM) 2017.
Y. Wang, J. Tang, J. Li, B. Li, Y. Wan, C. Mellina, N. O'Hare, Y. Chang, "Understanding and Discovering Deliberate Self-harm Content in Social Media", The 26th International World Wide Web Conference (WWW) 2017.
Y. Wang, S. Wang, J. Tang, G. Qi, H. Liu, B. Li, "CLARE:A Joint Approach to Label Classification and Tag Recommendation", AAAI Conference on Artificial Intelligence (AAAI 2017)
P. Chandakkar and B. Li, "Joint Regression and Ranking for Image Enhancement", IEEE WACV 2017.
Z. Tu, Z. Guo, W. Xie, M. Yan, R. C. Veltkamp, B. Li, Junsong Yuan, "Fusing disparate object signatures for salient object detection in video", Pattern Recognition, Vol. 72, pp.285-299, 2017.
P. S. Chandakkar, R. Venkatesan, B. Li, "MIRank-KNN: Multiple Instance Retrieval of Clinically-Relevant Diabetic Retinopathy Images", SPIE Journal of Medical Imaging, 2017. 4(3):034003. doi: 10.1117/1.JMI.4.3.034003.
B. Li, P. S. Chandakkar, and Q. Tian, Systems and Methods for a Content-adaptive Photo-enhancement Recommender", US Patent 9,576,343. Issued February 21, 2017.

2016:

Sheng-hung Hu, Yikang Li and Baoxin Li, "Video2Vec: Learning Semantic Spatio-Temporal Embeddings for Video Representation", International Conference on Pattern Recognition (ICPR) 2016.
V. Gttupalli, P. Chandkkar, and B. Li, "A Computational Approach to Relative Aesthetics", International Conference on Pattern Recognition (ICPR) 2016.
Zhigang Tu, Jun Cao, Yikang Li, and Baoxin Li, "MSR-CNN: Applying Motion Salient Region Based Descriptors for Action Recognition", International Conference on Pattern Recognition (ICPR) 2016.
R. Venkatesan, V. Gatupalli, B. Li, "On the Generality of Neuroal Image Features", IEEE International Conference on Image Processing (ICIP), 2016.
X. Zhou, Y. Wang, P. Zhang, B. Li, "Scale-adaptive Eigeneye for Fast Eye Detection in Wild Web Images", IEEE International Conference on Image Processing (ICIP), 2016.
Yikang Li, Sheng-hung Hu and Baoxin Li, "Recognizing Unseen Action in a Domain-adaptive Embedding Space", IEEE International Conference on Image Processing (ICIP) 2016.
Q. Tian and B. Li, "Weakly Hierarchical Lasso based Learning to Rank in Best Answer Prediction", IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016.
Q. Tian, J. Lagisetty and B. Li, "Finding Needles of Interested Tweets in the Haystack of Twitter Network", IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016.
L. Chen, B. Li, "Clustering-based Joint Feature Selection for Semantic Attribute Prediction", International Joint Conference on Artificial Intelligence (IJCAI), June, 2016.
Y. Wang, S. Wang, J. Tang, H. Liu, B. Li, "Joint Pointwise and Pairwise Image Label Prediction", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June, 2016.
Kan Chang, Pak Lun Kevin Ding, and Baoxin Li, "Compressive Sensing Reconstruction of Correlated Images Using Joint Regularization", IEEE Signal Processing Letters (SPL), vol.23, no.4, pp.449-453, Apr. 2016. Code available here.
P.S. Chandakkar and B. Li, "A Structured Approach to Predicting Image Enhancement Parameters", IEEE Winter Conference on Computer Vision and Applications (WACV), March, 2016.
Q. Tian and B. Li, "Simultaneous Semantic Segmentation of a Set of Partially Labeled Images", IEEE Winter Conference on Computer Vision and Applications (WACV), March, 2016.
Y. Wang, Q. Zhang and B. Li, "Efficient Unsupervised Abnormal Crowd Activity Detection Based on a Spatiotemporal Saliency Detector", IEEE Winter Conference on Computer Vision and Applications (WACV), March, 2016.
D. Paladugu, Q. Tian, H. Maguluri and B. Li, "Towards building an automated system for describing indoor floor maps for individuals with visual impairment", Cyber-Physical Systems, Volume 1:2-4, 132-1591, 2016
L. Chen, P. Zhang, B. Li, "User-adaptive image retrieval via fusing pointwise and pairwise labels", International Journal of Multimedia Information Retrieval, March 2016, Volume 5, Issue 1, pp 19-33.

2015:

R. Venkatesan, P.S. Chandakkar and B. Li, "Simpler non-parametric methods provide as good or better results to multiple-instance learning", IEEE International Conference on Computer Vision (ICCV), December, 2015.
K. Chang and B. Li, "Joint modeling and reconstruction of a compressively-sensed set of correlated images", Journal of Visual Communication and Image Representation, Vol. 33, pp. 286-300. November, 2015. Code available here.
K. Chang, P.L.K. Ding and B. Li, "Color image demosaicking using inter-channel correlation and nonlocal self-similarity", Signal Processing: Image Communication, Vol. 39, pp. 264-279. 2015. Code available here.
R. Venkatesan, C. Zwart, D. Frakes, B. Li, "Spatio-temporal video deinterlacing using control grid interpolation", Journal of Electronic Imaging, 24(2), 2015. doi:10.1117/1.JEI.24.2.023022
X. Zhou and B. Li, "Retrieving Unfamiliar Faces: Towards Understanding Human Performance", ACM Multimedia, October, 2015.
Y. Wang, J. Cao and B. Li, "Real Time Vehicle Back up Warning System with Single Camera", IEEE International Conference on Image Processing (ICIP), September, 2015.
Y. Wang, S. Wang, J. Tang, H. Liu, B. Li, "Unsupervised Sentiment Analysis for Social Media Images", International Joint Conference on Artificial Intelligence (IJCAI), July, 2015
P.S. Chandakkar, Q. Tian and B. Li, "Relative Learning from Web Images for Content-adaptive Enhancement", IEEE International Conference on Multimedia and Expo (ICME), June, 2015
L. Chen, Q. Zhang, P. Zhang and B. Li, "Instructive Video Retrieval for Surgical Skill Coaching Using Attribute Learning", ICME, June 2015
L. Chen, P. Zhang and B. Li, "Fusing Pointwise and Pairwise Labels for Supporting User-adaptive Image Retrieval", ACM International Conference and Multimedia Retrieval (ICMR), June, 2015.
Y. Wang, Q. Zhang and B. Li, "Structure Preserving Image Quality Assessment", IEEE International Conference on Multimedia and Expo (ICME), June, 2015
Q. Zhang and B. Li, "Dictionary Learning in Visual Computing", Morgan & Claypool Publishers, May, 2015
Y. Wang, Y. Hu, S. Kambhampati, B. Li, "Inferring Sentiment from Web Images with Joint Inference on Visual and Social Cues: A Regulated Matrix Factorization Approach", AAAI International Conference on Web and Social Media (ICWSM) (Oral), May, 2015.
P.S. Chandakkar, Y. Wang and B. Li, "Improving Vision-based Self-positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection", IEEE Winter Conference on Computer Vision and Applications (WACV), January, 2015.

2014:

Q. Zhang and B. Li, "Relative Hidden Markov Models for Video-based Evaluation of Motion Skills in Surgical Training", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), to appear, 2014.
L. Chen, P. Zhang, and B. Li, "Instructive Video Retrieval Based on Hybrid Ranking and Attribute Learning", ACM Multimedia, November, 2014.
P. Chandakkar, B. Li, "Investigating Human Factors in Image Forgery Detection", ACM Multimedia Workshop on Human Centered Event Understanding from Multimedia, November, 2014.
P. Chandakkar, R. Venkatesan and B. Li, "Video-based Self-positioning for Intelligent Transportation Systems Applications", International Symposium on Visual Computing (ISVC), November, 2014.
Q. Zhang, J. Zhou, Y. Wang, J. Ye, B. Li, "Image Cosegmentation via Multi-task Learning", British Machine Vision Conference (BMVC), September, 2014.
Q. Zhang, L. Chen, B. Li, "Max-margin Multi-attribute Learning with Low-rank Constraint", IEEE Transactions on Image Processing, Vol. 23, No. 7, pp. 2866-76, 2014.
L. Chen, Q. Zhang, and B. Li, "Predicting Multiple Attributes via Relative Multi-task Learning", CVPR, June, 2014.
Y. Wang, Q. Zhang, and Baoxin Li, "Video Quality Assessment via Spatiotemporal Saliency Weighted SSIM", 8th International Workshop on Video Processing and Quality Metrics, January, 2014.

2013:

Peng Zhang, Xufei Wang, Baoxin Li, "On Predicting Twitter Hashtag Trend: Important Factors and Models", IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Aug. 2013.
Qiongjie Tian, Peng Zhang, Baoxin Li, "Predicting the Best Answers in Community-based Question-Answering Services", International Conference on Weblogs and Social Media, July, 2013.
Gazi Islam, Kanav Kahol, Baoxin Li, "Development of a Computer Vision Application for Surgical Skill Training and Assessment", in Bio-Informatic Systems, Processing and Applications, J. I. Agbinya, E. Custovic, and J. Whittington (Ed.), River Publisher, 2013, ISBN: 978-8793102187.
Gazi Islam, Kanav Kahol, Baoxin Li, "Developing a Real-time Low-cost System for Surgical Skill Training", IEEE International Conference on Multimedia and Expo (ICME), July, 2013.
Devi Paladugu, Parag Chandakkar, Peng Zhang, Baoxin Li, "Supporting Navigation of Outdoor Shopping Complexs for Visually-Impaired Users Through Multi-model Data Fusion", IEEE International Conference on Multimedia and Expo, July, 2013.
Devi Paladugu, Baoxin Li, "Towards Designing and Sustaining an Online Community for Visually Impaired Users", IEEE Workshop on Multimodal and Alternative Perception for Visually Impaired People (MAP4VIP), July, 2013
Qiang Zhang & Baoxin Li, "Relative Hidden Markov Model for Skill Evaluation", CVPR, June, 2013.
H. B. Maguluri, Q. Tian, B. Li, "Detecting Text in Floor Maps Using Histogram of Oriented Gradients", International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2013.
Li, B., & Li, H. K. (2013). "Automated Analysis of Diabetic Retinopathy Images: Principles, Recent Developments, and Emerging Trends". Current Diabetes Reports, 13(4), 453-459.
Gazi Islam, Kanav Kahol, Baoxin Li, "An Affordable Real-time Assessment System for Surgical Skill Training", ACM International Conference on Intelligent User Interfaces (IUI) 2013.
L. Chen, Q. Zhang, Q. Tian, B. Li, "Learning Skill-Defining Latent Space in Video-based Analysis of Surgical Expertise - A Multi-Stream Fusion Approach", NextMed / MMVR 2013 (Medicine Meets Virtual Reality) 2013.
Q. Tian, L. Chen, Q. Zhang, B. Li, "Enhancing Fundamentals of Laparoscopic Surgery Trainer Box via Designing A Multi-Sensor Feedback System", NextMed / MMVR 2013.
Q. Zhang, L. Chen, Q. Tian, B. Li, "Video-based Analysis of Motion Skills in Simulation-based Surgical Training ", IS&T/SPIE Electronic Imaging, 2013.
P.S. Chandakkar, R. Venkatesan, B. Li, "Retrieving clinically relevant diabetic retinopathy images using a multi-class multiple instance framework", In: Proc. SPIE Medical Imaging, Orlando, FL, February 2013.
Yilin Wang and Baoxin Li, "Building Video-synthesis Tools for Simulation-based Quality Evaluation in 3D Viewing", 7th International Workshop on Video Processing and Quality Metrics, January, 2013.

2012:

N. Kulkarni, P. Nagesh, R. Gowda, B. Li, "Understanding Compressive Sensing and Sparse Representation-Based Super-Resolution", IEEE Transactions on Circuit and Systems for Video Technologies, Vol. 22, No. 5, pp.778-789, 2012.
Yajun Gao, Baoxin Li, "Active Learning for Tag Recommendation Utilizing On-line Photos", IEEE Intl. Conf. on Image Processing (ICIP), 2012.
D. Paladugu, H. Manguluri, Q. Tian, Baoxin Li, "Automated Description Generation for Indoor Floor Maps", ACM SIG ASSESTS 2012, Live Demo.
Parag S. Chandakkar, Ragav Venkatesan, Baoxin Li, Helen K. Li, "A Machine-learning Approach to Retrieving Diabetic Retinopathy Images", ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM BCB), 2012.
Q. Zhang and B. Li, "Mining Discriminative Components with Low-Rank and Sparsity Constraints for Face Recognition", ACM Conf. on Knowledge Discover & Data Mining (SIG KDD) 2012.
Ragav Venkatesan, Parag Chandakkar, Baoxin Li, and Helen K. Li, "Classification of Diabetic Retinopathy Images Using Multi-Class Multiple-Instance Learning Based on Color Correlogram Features", 34th Intl. Conf. of IEEE EMBS (EMBC), San Diego, CA, August, 2012
Z. Wang, N. Li, B. Li, "Fast and independent access to map directions for people who are blind", Interacting with Computers, Vol. 24, pp. 91-106, 2012.
B. Li and J. Caviedes, "Evaluating the Impact of Crosstalk on Shutter-type Stereoscopic 3D Displays", Sixth International Workshop on Video Processing and Quality Metrics, January, 2012.

2011:

Qiang Zhang and Baoxin Li, "Video-based Motion Expertise Analysis in Simulation-based Surgical Training", ACM Workshop on Medical Multimedia Analysis and Retrieval (MMAR) (on ACM MM'11), November, 2011.
Z. Wang, M. Kumar, J. Luo, B. Li, "Extracting Key Frames from Consumer Videos Using Bi-layer Group Sparsity", ACM Multimedia (MM), November, 2011.
Z. Wang, M. Kumar, J. Luo, B. Li, "Sequence-Kernel Based Sparse Representation for Amateur Video Summarization", ACM Joint Workshop on Modeling and Representing Events (J-MRE) (on ACM MM'11), November, 2011.
Naveen Kulkarni and Baoxin Li, "Discriminative Affine Sparse Codes for Image Classification", CVPR, June, 2011.
B. Peng, G. Qian, Y. Ma, B. Li, "Multifactor Feature Extraction for Human Movement Recognition", Computer Vision and Image Understanding, Vol. 115, No. 3, pp. 375-389, March 2011.
A. Paladugu, Z. Wang, B. Li, "User-Adaptive Photo Tag Recommendation Employing Social Networks", 2nd International Workshop on Social Recommender Systems (on CSCW'11), March 2011.
N. Li, Z. Wang, J. Yuriar, B. Li, "TactileFace: A System for Enabling Access to Face Photos by Visually-impaired People", (Live demo), International Conference on Intelligent User Interfaces (IUI), Feb., 2011.
See related media reports below:

MSNBC http://www.msnbc.msn.com/id/41624232/41626743

Discovery News http://www.msnbc.msn.com/id/41624232/41626743

ABC News http://abcnews.go.com/Technology/printed-photos-blind/story?id=12951372
A. Paladugu, B. Li, "Towards Designing a Crowdsourcing Network for Visually Impaired Users", IUI 2011 Workshop on Intelligent User Interfaces for Developing Regions, Feb. 2011.

2010:

Qiang Zhang and Baoxin Li, "Towards Computational Understanding of Skill Levels in Simulation-based Surgical Training via Automatic Video Analysis", International Symposium on Visual Computing (ISVC), December, 2010.
Xiaolong Zhang and Baoxin Li, "Retrieving Images of Similar Geometrical Configuration", ISVC, December, 2010.
Zheshen Wang and Baoxin Li, "Synchronizing Disparate Video Streams from Laparoscopic Operations in Simulation-based Surgical Training", IEEE International Workshop on Artificial Intelligence and Pattern Recognition (AIPR), October, 2010.
Nan Li and Baoxin Li, "Tensor Completion for On-board Compression of Hyperspectral Images", IEEE International Conference on Image Processing (ICIP), September, 2010.
Qiang Zhang and Baoxin Li, "Joint Sparsity Model with Matrix Completion for an Ensemble of Face Images", ICIP, September, 2010.
Qiang Zhang and Baoxin Li, "Discriminative K-SVD for Dictionary Learning in Face Recognition", CVPR, June, 2010.
Zheshen Wang, Ming Zhao, Yang Song, Sanjiv Kumar, and Baoxin Li, "YouTubeCat: Learning to Categorize Wild Web Videos", CVPR, June, 2010.
Avin Kumar Kannur and Baoxin Li, "On Implementing Motion-based Region of Interest Detection on Multi-core CELL", (to appear) Computer Vision and Image Understanding, 2010.
Zheshen Wang and Baoxin Li, "A Bayesian Approach to Automated Creation of Tactile Facial Images", (to appear) IEEE Transactions on Multimedia, June, 2010.
Jin Zhou and Baoxin Li, "Rapid Cones and Cylinders Modeling from a Single Calibrated Image Using Minimal 2D Control Points", (to appear) Machine Vision and Applications, 2010.
R. Gowda, S. Mehta, Y. Yang, and Baoxin Li, "Adaptive Non-linear Image Enhancement of Gaussian Degraded Images", (to appear) International Journal of Image and Graphics, 2010.
Devi Archana Paladugu, Zheshen Wang, and Baoxin Li, "On Presenting Audio-Tactile Maps to Visually Impaired Users for Getting Directions", ACM CHI 2010, April, 2010.
Pradeep Nagesh, Rahul Gowda, and Baoxin Li, "Fast GPU Implementation of Large-scale Dictionary and Sparse Representation Based Vision Problems", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March, 2010.
Xiaolong Zhang and Baoxin Li, "Impact of Disparate Quality in Stereo Channels on 3D Perception", International Workshop on Video Processing and Quality Metrics, January, 2010.

2009:

Xinyu Xu and Baoxin Li, "Human Action Recognition in Video", (Chapter 8) In Intelligent Video Surveillance: Systems and Technology, Ed. Y. Ma and G. Qian, CRC Press, ISBN: 978-1-4398-1328-7, December 2009.
Vishwesh Parameswaran, Avin Kannur, and Baoxin Li, "Adapting quantization offset in multiple description coding for error resilient video transmission", Journal of Visual Communication and Image Representation, Vol. 20, pp. 491-503, 2009. doi:10.1016/j.jvcir.2009.07.003.
Wang, Z., Li, B., Hedgpeth, T., Haven, T., "Instant Tactile-Audio Map: Enabling Access to Digital Maps for People with Visual Impairment", ACM Conference on Computers and Accessibility (ASSETS), 2009.
Zheshen Wang and Baoxin Li, "Human Activity Encoding and Recognition Using Low-level Visual Features", IJCAI, July, 2009.
Pradeep Nagesh and Baoxin Li, "A Compressive Sensing Approach for Expression-Invariant Face Recognition", CVPR, June, 2009.
Wenfeng Li, Jin Zhou, Baoxin Li, and M. Ibrahim Sezan, "Virtual View Specification and Synthesis for Free Viewpoint Television", IEEE Transactions on Circuit and Systems for Video Technologies, Vol. 19, No. 4, pp.533-546, 2009.
Pradeep Nagesh and Baoxin Li, "Compressive Imaging of Color Images", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April, 2009. (Available from the CS site at Rice University).
Avin Kumar Kannur and Baoxin Li, "Power-aware content-adaptive H.264 video encoding", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April, 2009.
Xinyu Xu and Baoxin Li, "Exploit Motion Correlations for 3D Articulated Human Tracking", IEEE Transactions on Image Processing, Vol. 16, No. 3, pp. 838-849, 2009.
Zheshen Wang and Baoxin Li, "Learning to Recommend Tags for On-line Photos", International Workshop on Social Computing, Behavior Modeling, and Prediction, March, 2009.
Shalin Mehta and Baoxin Li, "Fast Global Blur Estimation Using A Learning-based Approach", International Workshop on Video Processing and Quality Metrics, January, 2009.

2008:

Shankara Subramanya, Zheshen Wang, Baoxin Li, and Huan Liu, "Completing missing views for multiple sources of web media", Int. Journal of Data Mining, Modeling & Management, Vol. 1, No. 1, pp. 23-44, 2008.
Jin Zhou and Baoxin Li, "A Four Point Algorithm for Fast Metric Cone Reconstruction from a Calibrated Image", ISVC 2008.
Xiaolong Zhang, Jin Zhou, and Baoxin Li, "Robust Two-view External Calibration by Combining Lines and Scale-Invariant Point Features", ISVC 2008.
Jin Zhou and Baoxin Li, "Image Rectification for Stereoscopic Visualization", Journal of Optical Society of America A, (JOSA-A), Vol. 25, No. 11, pp. 2721-2733, 2008.
Wenfeng Li and Baoxin Li, "Virtual View Synthesis with Heuristic Spatial Motion", ICIP 2008.
Avin Kumar Kannur and Baoxin Li, "An Enhanced Rate Control Scheme with Motion Assisted Slice Grouping for Low Bit Rate Coding in H.264", ICIP 2008. [There were some erroneous entries in Table 3.1 (and thus Fig. 3.3) in the paper included in the conference proceedings; If you are referring to this paper, please download the corrected version here (the correction is highlighted in blue)].
S. Subramanya, Baoxin Li, Huan Liu, "Robust integration of multiple information sources by view completion", IEEE International Conference on Information Reuse and Integration, July, 2008, Las Vegas, pp. 398-403, ISBN: 978-1-4244-2659-1,DOI #: 10.1109/IRI.2008.4583064.
Zheshen Wang, Xinyu Xu, and Baoxin Li, "Bayesian Tactile Face", CVPR 2008.
Wenfeng Li and Baoxin Li, "Joint Conditional Random Field of Multiple Views with Online Learning for Image-based Rendering", CVPR 2008.
Jin Zhou, Ananya Das, Feng Li, Baoxin Li, "Circular Generalized Cylinder Fitting for 3D Reconstruction in Endoscopic Imaging Based on MRF", 9th IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (Joint with CVPR 2008).
Ananya Das, Cuong C. Nguyen, Feng Li, Baoxin Li, "Digital image analysis of EUS images accurately differentiates pancreatic cancer from chronic pancreatitis and normal tissue", Gastrointestinal Endoscopy, vol. 67, no. 6, pp. 861-867, 2008.
Zheshen Wang and Baoxin Li, "A Two-stage Approach to Saliency Detection in Images", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March/April, 2008.
Jayanth Madapura and Baoxin Li, "Multi-target Tracking Based on KLD Mixture Particle Filter with Radial Basis Function Support", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March/April, 2008.
Xinyu, Xu, Baoxin Li, "Automatic Classification and Detection of Clinically-Relevant Images for Diabetic Retinopathy," SPIE Medical Imaging 2008, Feb. 16-21, 2008, San Diego, CA, USA.

2007:

Xinyu Xu, Baoxin Li, "Evaluating Multi-Class Multiple-Instance Learning for Image Categorization," 8th Asian Conference on Computer Vision (ACCV 2007), Tokyo, Japan, Nov. 18-22, 2007.
Xinyu Xu and Baoxin Li, "Learning Motion Correlation for Tracking Articulated Human Body with a Rao-Blackwellised Particle Filter", IEEE International Conference on Computer Vision (ICCV), October, 2007.
Wenfeng Li and Baoxin Li, "MAP Estimation of Epipolar Geometry by EM Algorithm and Local Diffusion", IEEE International Conference on Image Processing (ICIP), September, 2007.
Xinyu Xu and Baoxin Li, "Multiple class multiple-instance learning and its application to image categorization", International Journal on Image and Graphics, vol. 7, NO. 3, pp. 427-444, July 2007.
Jayanth Madapura and Baoxin Li, "3D Articulated Human Body Tracking Using KLD-Annealed Rao-Blackwellised Particle Filter", IEEE International Conference on Multimedia & Expo (ICME), July, 2007.
Haomian Wang, Houqiang Li, Baoxin Li, "Video inpainting for largely occluded moving human", IEEE International Conference on Multimedia & Expo (ICME), July, 2007.
Jin Zhou and Baoxin Li, "Exploiting Vertical Lines in Vision-based Navigation for Mobile Robot Platforms", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April, 2007.
Zheshen Wang, Xinyu Xu, and Baoxin Li, "Enabling seamless access to digital graphical contents for visually impaired individuals via semantic-aware processing," EURASIP Journal on Image and Video Processing, vol. 2007, Issue 3, Article ID 18019, 14 pages, November, 2007. doi:10.1155/2007/18019.
Xinyu Xu and Baoxin Li, "Adaptive Rao-Blackwellised Particle Filter and its Evaluation for Tracking in Surveillance", IEEE Transactions on Image Processing, vol. 16, issue 3, March 2007.

2006:

Xinyu Xu and Baoxin Li, "Simulation of Diabetic Retinopathy Neovascularization in Color Digital Fundus Images", In Advances in Visual Computing, G. Bebis et al (Eds.), pp. 421-433, Springer-Verlag, 2006. Springer Lecture Notes in Computer Science (LNCS) 4291 for International Symposium on Visual Computing (ISVC) 2006.
Jin Zhou and Baoxin Li "Robust Ground Plane Detection with Normalized Homograohpy in Monocular Sequences from a Robot Platform", IEEE International Conference on Image Processing (ICIP), October, 2006.
Jin Zhou and Baoxin Li, "Rectification with Intersecting Optical Axes for Stereoscopic Visualization", Proceedings of International Conference on Pattern Recognition (ICPR), August, 2006.
Wenfeng Li and Baoxin Li, "Probabilistic Image-based Rendering with Gaussian Mixture Model", Proceedings of International Conference on Pattern Recognition (ICPR), August, 2006.
Jin Zhou and Baoxin Li, "Image Rectification for Stereoscopic Visualization without 3D Glasses", Proc. Int. Conf. on Image & Video Retrieval (CIVR), July 2006.(See also a Technical Report from cubic.asu.edu)
Jin Zhou and Baoxin Li, "Homography-based Ground Detection for a mobile robot platform using a single camera", Proceedings of IEEE International Conference on Robotics and Automation (ICRA), May, 2006.
Wenfeng Li, Jin Zhou, Baoxin Li, and Ibrahim Sezan, "Virtual View Specification and Synthesis in Free-viewpoint Television Applications", 3rd International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT), June 2006.
Baoxin Li, and M. Ibrahim Sezan, "Interactive Video via Automatic Event Detection", Interactive Video, Hammound, Riad, (Ed.), Springer, 2006, pp. 133-156.
C. Kwan, B. Li, R. Xu, X. Li, T. Tran, and T. Nguyen, "A Complete Image Compression Scheme Based on Overlapped Block Transform with Post-Processing", EURASIP Journal on Applied Signal Processing, Volume 2006, Article ID 10968, Pages 1-15, DOI 10.1155/ASP/2006/10968.
Xinyu Xu and Baoxin Li, "Rao-Blackwellised Particle Filter with Adaptive System Noise and its Evaluation for Tracking in Surveilance", IS&T/SPIE Visual Communications and Image Processing (VCIP), Jan. 2006.

2005:

Wenfeng Li and Baoxin Li, "Enable Better Access to Math for Blind and Visually Impaired Individuals", Proceedings of IASTED International Conference on Human-Computer Interaction, Nov. 2005.
Xinyu Xu and Baoxin Li, "Rao-Blackwellised Particle Filter for Visual Tracking with Application in Video Surveillance", 2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (joint with IEEE International Conference on Computer Vision), pp. 17-24, October, 2005.
Xinyu Xu and Baoxin Li, "Head-tracking Using Particle Filter with Intensity Gradient and Color Histogram", IEEE International Conference on Multimedia and Expo (ICME), July, 2005.
Yue Yang and Baoxin Li, "Non-linear Image Enhancement for Digital TV Applications Using Gabor Filters", IEEE International Conference on Multimedia and Expo (ICME), July, 2005.
Jin Zhou and Baoxin Li, "Automatic Generation of Pencil-Sketch-Like Drawings from Personal Photos", Proceedings of IEEE International Conference on Multimedia and Expo (ICME), July, 2005.

2004 and earlier:

Baoxin Li and M. Ibrahim Sezan, "Automatic Keystone Correction for Smart Projectors with Embedding Imaging Sensor", IEEE International Conf. on Image Processing, Oct. 2004.
Baoxin Li, Jim Errico, Hao Pan, and Ibrahim Sezan, "Bridging the Semantic Gap in Sports Video Retrieval and Summarization", Journal of Visual Communication and Image Representation, Vol. 15, pp. 393-424, Sept. 2004.
B. Li, X-F Feng, S. Daly, I. Sezan, P. van Beek, H. Pan, "Adaptive Display Color Correction Based on Real-time Viewing Angle Estimation", SID, May 2004.
B. Li and I. Sezan, "Semantic Sports Video Analysis: Approaches and New Applications", IEEE International Conf. on Image Processing, Sept. 2003.
B. Li, H. Pan, I. Sezan, "A general framework for sports video summarization with its application to soccer", IEEE International Conf. on Acoustics, Speech, and Signal Processing, April 2003.
R. Chellappa, S. Zhou, and B. Li, "Bayesian Methods for Face Recognition from Video", (invited paper) IEEE International Conf. on Acoustics, Speech, and Signal Processing, June 2002.
H. Pan, B. Li, and M. Ibrahim Sezan, "Automatic Detection of Replay Segments in Broadcast Sports Programs by Detection of Logos in Scene Transitions", IEEE International Conf. on Acoustics, Speech, and Signal Processing, June 2002.
B. Li and R. Chellappa, "A Generic Approach to Simultaneous Tracking and Verification", IEEE Trans. on Image Processing, Vol. 11, No. 5, May 2002.
B. Li and M. Ibrahim Sezan, "Event Detection and Summarization in American Football Broadcast Video", Proceedings of IS&T/SPIE Symposium Electronic Imaging, January 2002.
B. Li and R. Chellappa, "Face Verification Through Tracking Facial Features", Journal of Optical Society of America - A, Vol. 18, No. 12, Dec. 2001.
B. Li and M. Ibrahim Sezan, "Event Detection and Summarization in Sports Video", Proceedings of IEEE Workshop on Content-Based Access of Image and Video Database, December 2001.
B. Li, J. Erricco, M. Ferman, H. Pan, P. van Beek and M. Ibrahim Sezan, "Sports Program Summarization", IEEE Conf. on Computer Vision and Pattern Recognition 2001 Demonstrations, Kauai, Hawaii, December 2001.
B. Li, R. Chellappa, and H. Moon, "Monte Carlo Simulation Techniques for Probabilistic Tracking", (invited paper) Proceedings of 35th Asilomar Conf. on Signals, Systems, and Computers, Monterey, CA, Nov. 2001.
B. Li, R. Chellappa, Q. Zheng, S. Der, N. Nasrabadi, L. Chen, and L. Wang, "Empirical Evaluation of FLIR-ATR Algorithms - A Comparative Study", Computer Vision and Image Understanding, Vol. 84, No.1, Oct. 2001.
B. Li and M. Ibrahim Sezan, "Adaptive Video Background Replacement", Proceedings of IEEE International Conf. on Multimedia and Expo, Tokyo, Japan, Aug., 2001.
B. Li, Q. Zheng, R. Chellappa, and S. Der, "Model-Based Temporal Object Verification Using Video", IEEE Trans. on Image Processing, Vol. 10, No. 6, June 2001.
C. Kwan, B. Li, R. Xu, T. D. Tran, T. Q. Nguyen, "SAR image compression using wavelets", Proc. SPIE Vol. 4391, p. 349-357, Wavelet Applications VIII, Harold H. Szu; David L. Donoho; Adolf W. Lohmann; William J. Campbell; James R. Buss; Eds. March, 2001.
B. Li and R. Chellappa, "Gabor Attributes Tracking for Face Verification", Proceedings of IEEE International Conf. on Image Processing, Vancouver, BC, Sept. 2000.
B. Li and R. Chellappa, "Simultaneous Tracking and Verification via Sequential Monte Carlo Method", Proceedings of IEEE Conf. on Computer Vision and Pattern Recognition, Hilton Head Island, SC, June 2000.
B. Li and T. D. Tran, "A Very Low Bit-rate Video Codec Based on Lapped Transform and Overlapped Block Motion Compensation", Proc. of 34rd Annual Conf. on Info. Sciences and Systems, Princeton, NJ, March 2000.
B. Li, R. Chellappa, Q. Zheng, and S. Der, "Joint Target Tracking and Verification by Sequential Monte Carlo Methods", Proceedings of Federated Laboratory Symposium, College Park, MD, Jan. 2000.
B. Li, R. Chellappa, Q. Zheng, and S. Der, "Dynamic Object Identification and Verification Using Video", Proceedings of IEEE International Conf. on Acoustic, Speech & Signal Processing, Phoenix, AZ, March 1999.
B. Li, R. Chellappa, Q. Zheng, and S. Der, "Dynamic Target Identification and Verification Using FLIR Sequences Acquired by A Looming Platform", Proc. of Federated Laboratory Symposium, College Park, MD, Feb. 1999.
B. Li and B. Li, "Building Pattern Classifiers Using Convolutional Neural Networks", Intl. Joint Conf. on Neural Networks (IJCNN), 1999.
B. Li, Q. Zheng, R. Chellappa, and S. Der, "Experimental Evaluation of Neural, Statistical and Model-Based Approaches to FLIR ATR", Proceedings of SPIE, Vol. 3371, Orlando, FL, April 1998.
B. Li and W.D. Sun, "A Computational Study on Human Color Perception", <in Chinese> In New Advances in Theory and Applications of Electronics and Information, M. He ed., Northwestern Polytechnical University Press, China, 1995.
Z. Liu and B. Li, "An Improvement on Kohonen's Self-Organizing Model", Chinese Journal of Automation, Vol. 6, No. 3, pp.173-176, 1994, Allerton Press, Inc. U.S.A.