Publications

Book Chapters

  1. L. Liu, F. Zhu, M. Bosch, and E. J. Delp, “Recent Advances in Video Compression” in Statistical Science and Interdisciplinary Research, Vol. 2, Advances in Intelligent Information Processing, B Chanda Ed. India: World Scientific, 2008, pp. 191-208.

Journal Articles

  1. K. Danible, C. Panizza, C.J. Boushey, D.A. Kerr, F. Zhu, J.C. Banna, “A Novel Tool for Measuring Food Waste: The Mobile Food Record,” Journal of Extension, vol. 59, no. 3, Jul 2021. DOI: 10.34068/joe.59.03.01

  2. S. Yarlagadda, D. Mas Montserrat, D. Güera, C. Boushey, D. Kerr, F. Zhu, “Saliency-Aware Class-Agnostic Food Image Segmentation,” ACM Transaction on Healthcare and Computing, vol. 2, no. 3, pp. 1-17, Jul 2021. DOI:10.1145/3440274

  3. D. Ding, M. Zhan, D. Chen, Q. Chen, Z. Liu, F. Zhu, “Advances In video Compression System Using Deep Neural Network: A Review and Case Studies,” Proceedings of the IEEE, pp. 1-27, Mar 2021. DOI: 10.1109/JPROC.2021.3059994, website

  4. Y. Qin, M. Aqeel, F. Zhu, E.J. Delp, H.A. Eicher-Miller, “Dietary Aspects to Incorporate in the Creation of a Mobile Image-Based Dietary Assessment Tool to Manage and Improve Diabetes,” Nutrients, vol. 13, no. 4, pp. 1179, Apr 2021. DOI: 10.3390/nu13041179

  5. D. Ding, L. Kong, L. Chen, F. Zhu, “A Frame-Level CNN-Based In-Loop Filter For Inter Frame Coding,” Signal Processing: Image Communication, vol. 94, pp. 116201, Feb 2021.

  6. H. O’Reilly, C. Panizza, U. Lim, K. M. Yonemori, L. R. Wilkens, Y. B. Shvetsov, M. N. Harvie, J. Shepherd, F. Zhu, L. L. Marchand, C. J Boushey, K. D. Cassel, “Utility of self-rated adherence for monitoring dietary and physical activity compliance and assessment of participant feedback of the Healthy Diet and Lifestyle Study pilot,” Pilot and Feasibility Studies, vol. 7, no. 1, pp. 48, Feb 2021. DOI: 10.1186/s40814-021-00786-3

  7. S. Campbell, J. Chen, C.J. Boushey, H. Eicher-Miller, F. Zhu, M.K. Fialkowski, “Food Security and Diet Quality in Native Hawaiian, Pacific Islander, and Filipino Infants 3 to 12 Months of Age,” Nutrients, vol. 12, no. 7, Jul 2020. DOI: 10.3390/nu12072120

  8. M.K. Fialkowski, J. Ng-Osorio, J. Kai, K. Swafford, G. Langfelder, C.G. Young, J.J. Chen, F. Zhu, C.J. Boushey, “Type, Timing and Diversity of Complementary Foods Among Native Hawaiian, Pacific Islander and Filipino Infants,” Hawai’i Journal of Health & Social Welfare, vol. 79, no. 5, pp. 127-134, May 2020. PMC7260875

  9. N. Alshurafa, AW. Lin, F. Zhu, R. Ghaffari, J. Hester, E.J. Delp, J. Rogers, B. Spring, “Counting Bites with Bits: Expert Workshop Addressing Monitoring Calorie and Macronutrient Intake,” Journal of Medical Internet Research, vol. 21, no. 12, Dec 2019. DOI:10.2196/14904

  10. S. Fang, Z. Shao, D.A. Kerr, C.J. Boushey, F. Zhu, “An End-to-End Image-Based Automatic Food Energy Estimation Technique Based on Learned Energy Distribution Images: Protocol and Methodology,” Nutrients, vol. 11, no. 4, pp. 877, Apr 2019. DOI:10.3390/nu11040877

  11. R. Halse, C. Shoneye, C.M. Pollard, J. Jancey, J.A. Scott, I. Pratt, S. Dhaliwal, R. Norman, L. Straker, C.J. Boushey, E.J. Delp, F. Zhu, A. Haray, M. Syzbiak, A. Finch, J. McVeigh, B. Mullan, C.E. Collins, A. Mukhtar, K. Edwards, J. Healy, D. A. Kerr, “Improving Nutrition and Activity Behaviors Using Digital Technology and Tailored Feedback: Protocol for the Tailored Diet and Activity (ToDAy) Randomized Controlled Trial,” Journal of Medical Internet Research Protocols, vol. 8, no. 2, pp. e12782, Feb 2019. doi: 10.2196/12782

  12. C.L. Shoneye, S.S. Dhaliwal, C.M. Pollard, C.J. Boushey, E.J. Delp, A.J. Harray, P.A. Howat, M. Hutchesson, M.E. Rollor, F. Zhu, J.L. Wright, I.S. Pratt, J. Jancey, R. Halse, J.A. Scott, B. Mullan, C.E. Collins, D.A. Kerr, “Image-based dietary assessment and tailored feedback using mobile technology: mediating behavior change in young adults,” Nutrients, vol. 11, no. 2, pp. 435, Feb 2019. doi: 10.3390/nu11020435

  13. M. Polfuss, A. Moosreiner, C. J. Boushey, E. J. Delp, F. Zhu, “Technology-Based Dietary Assessment in Youth With and Without Developmental Disabilities,” Nutrients, vol. 10, no. 10, pp. 1482, Oct 2018. DOI:10.3390/nu10101482

  14. Y. Wang, Y. He, C.J. Boushey, F. Zhu, E.J. Delp, “Context based Image Analysis with Application in Dietary Assessment and Evaluation,” Multimedia Tools and Applications, Nov 2017, pp. 1-26. DOI:10.1007/s11042-017-5346-x

  15. C.J. Boushey, M. Spoden, E.J. Delp, F. Zhu, M. Bosch, Z. Ahmad, Y.B. Shvetsov, J.P. DeLany, D.A. Kerr, “Report Energy Intake Accuracy Compared to Doubly Labeled Water and Usability of the Mobile Food Record among Community Dwelling Adult,” Nutrients, vol. 9, no. 3, pp. 312, Mar 2017. DOI: 10.3390/nu9030312

  16. D.A. Kerr, S.S. Dhaliwal, C.M. Pollard, R. Norman, J.L. wright, A.J. Harray, C.L. Shoneye, V.A. Solah, W.J. Hunt, F. Zhu, E.J. Delp, C.J. Boushey, “BMI is Associated with the Willingness to Record Diet with a Mobile Food Record among Adults Participating in Dietary Interventions,” Nutrients, vol. 9, no. 3, pp. 244, Mar 2017. DOI: 10.3390/nu9030244

  17. C.J. Boushey, M. Spoden, F. Zhu, E.J. Delp, D.A. Kerr, “New mobile methods for dietary assessment: review of image-assisted and image-based dietary assessment methods,” Proceedings of the Nutrition Society, vol. 76, no. 3, pp. 283-294, Aug 2017. DOI:10.1017/S0029665116002913

  18. F. Zhu, M. Bosch, N. Khanna, C. J. Boushey, and E. J. Delp, “Multiple Hypotheses Image Segmentation and Classification with Application to Dietary Assessment,” IEEE Journal of Biomedical and Health Informatics, vol. 19, no. 1, pp. 377-388, Jan 2015. DOI:10.1109/JBHI.2014.2304925

  19. T.E. Schap, F. Zhu, E.J. Delp, and C.J. Boushey, “Merging Dietary Assessment with the Adolescent Lifestyle,” Journal of Human Nutrition and Dietetics, vol. 27, pp. 82-88, Jan 2014. DOI:10.1111/jhn.12071

  20. B.L. Daugherty, T.E. Schap, R. Ettienne-Gittens, F. Zhu, M. Bosch, E.J. Delp, D.S. Ebert, D.A. Kerr, C.J. Boushey, “Novel Technologies for Assessing Dietary Intake: Evaluating the Usability of a Mobile Telephone Food Record among Adults and Adolescents,” Journal of Medical Internet Research, vol. 14, no. 2, pp. e58, Apr 2012.DOI: 10.2196/jmir.1967

  21. M. Bosch, F. Zhu and E.J. Delp, “Segmentation Based Video Compression Using Texture and Motion Models,” IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 7, pp. 1366-1377, Nov 2011. DOI:10.1109/JSTSP.2011.2164779

  22. F. Zhu, M. Bosch, I. Woo, S. Kim, C. J. Boushey, D. S. Ebert, and E. J. Delp, “The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation,” IEEE Journal of Selected Topics in Signal Processing, vol. 4, no. 4, pp. 756 - 766, Aug 2010. DOI:10.1109/JSTSP.2010.2051471

  23. B.L. Six, T.E. Schap, F. Zhu, A. Mariappan, M. Bosch, E.J. Delp, D.S. Ebert, D.A. Kerr, and C.J. Boushey, “Evidence-Based Development of a Mobile Telephone Food Record,” Journal of American Dietetic Association, vol. 110, no. 1, pp. 74-79, Jan 2010. DOI: 10.1016/j.jada.2009.10.010

Selected Conference Proceedings

  1. J. He, F. Zhu, “Online Continual Learning for Visual Food Classification,” Proceedings of the IEEE International Conference on Computer Vision Workshop, virtual, Oct 2021. arXiv:2108.06781

  2. R. Mao, J. He, L. Lin, Z. Shao, H. Eicher-Miller, F. Zhu, “Improving Dietary Assessment Via Integrated Hierarchy Food Classification,” Proceedings of the IEEE International Workshop on Multimedia Signal Processing, Tampere, Finland, Oct 2021.

  3. Z. Shao, F. Shao, R. Mao, J. He, J. Wright, D. Kerr, C. Boushey, F. Zhu, “Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation,” Proceedings of the IEEE International Workshop on Multimedia Signal Processing, Tampere, Finland, Oct 2021. arXiv:2103.07562

  4. J. He, F. Zhu, “Unsupervised Continual Learning Via Pseudo Labels,” Proceedings of the International Joint Conference on Artificial Intelligence Workshop, virtual, Aug 2021. arXiv:2104.07164

  5. R. Mao, M. Tweardy, S. Wegerich, C. Goergen, G.R. Wodicka, F. Zhu, “Motion Artifact Reduction In Photoplethysmography For Reliable Signal Selection,” Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, virtual, Oct 2021.

  6. S. Ju, M.A. Erasmus, F. Zhu, A.R. Reibman, “Turkey Behavior Identification using Video Analytics and Object Tracking,” Proceedings of the IEEE International Conference on Image Processing, virtual, Sep 2021.

  7. S. Ju, S. Mahapatra, M.A. Erasmus, A.R. Reibman, F. Zhu, “Turkey Behavior Identification System with a GUI Using Deep Learning and Video Analytics,” Electronic Imaging, virtual, Jan 2021. DOI: 10.2352/ISSN.2470-1173.2021.8.IMAWM-232

  8. J. He, R. Mao, Z. Shao, J.L. Wright, D.A., Kerr, C.J. Boushey, F. Zhu, “An End-to-End Food Image Analysis System,” Electronic Imaging, virtual, Jan 2021. DOI: 10.2352/ISSN.2470-1173.2021.8.IMAWM-285

  9. Y. Han, S. Yarlagadda, T. Ghosh, F. Zhu, E. Sazonov, E.J. Delp, “Improving Food Detection for Images from a Wearable Egocentric Camera,” Electronic Imaging, virtual, Jan 2021. DOI: 10.2352/ISSN.2470-1173.2021.8.IMAWM-286

  10. R. Mao, J. He, Z. Shao, S. Yarlagadda, F. Zhu, “Visual Aware Hierarchy Based Food Recognition,” Proceedings of the International Conference on Pattern Recognition (ICPR) Workshop, virtual, Jan 2021. DOI: 10.1007/978-3-030-68821-9_47

  11. J. He, Z. Shao, J. Wright, D. A. Kerr, C. J. Boushey, F. Zhu, “Multi-Task Image-Based Dietary Assessment for Food Recognition and Portion Size Estimation,” Proceedings of IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), Shenzhen, China, Aug 2020. (invited paper) DOI: 10.1109/MIPR49039.2020.00018

  12. D. Montserrat, H. Hao, S. Yarlagadda, S. Baireddy, R. Shao, J. Horváth, E. Bartusiak, J. Yang, D. Güera, F. Zhu, E.J. Delp, “Deepfakes Detection with Automatic Face Weighting,” Proceedings of CVPR workshop on Media Forensics, Seattle, WA, USA, Jun 2020. DOI: 10.1109/CVPRW50498.2020.00342

  13. J. He, R. Mao, Z, Shao, F. Zhu, “Incremental Learning In Online Scenario,” Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, Jun 2020. DOI: 10.1109/CVPR42600.2020.01394

  14. S. Yarlagadda, S. Baireddy, D. Güera, C. J. Boushey, D. A. Kerr, F. Zhu, “Learning Eating Environments Through Scene Clustering,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 2020. DOI:10.1109/ICASSP40776.2020.9054402

  15. P. Singh, S.M. Lindshield, F. Zhu, A. R. Reibman, “Animal Localization in Camera-Trap Images with Complex Background,” Proceedings of IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI), Santa Fe, NM, USA, Mar 2020. DOI:10.1109/SSIAI49293.2020.9094613

  16. S. Ju, M. A. Erasmus, A. R. Reibman, F. Zhu, “Video Tracking to Monitor Turkey Welfare,” Proceedings of IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI), Santa Fe, NM, USA, Mar 2020. DOI:10.1109/SSIAI49293.2020.9094604

  17. Z. Shao, R. Mao, F. Zhu, “Semi-Automatic Crowdsourcing Tool for Online Food Image Collection and Annotation,” IEEE BigData Workshop on Big Food and Nutrition Data Management and Analysis, Los Angeles, USA, Dec 2019. DOI:10.1109/BigData47090.2019.9006165

  18. J. Horváth, D. Buera, S. Yarlagadda, P. Bestagini, F. Zhu, S. Tubaro, E.J. Delp, “Anomaly-Based Manipulation Detection in Satellite Images,” Proceedings of CVPR workshop on Media Forensics, Long Beach, CA, USA, Jun 2019.

  19. S. Yarlagadda, D. Güera, D. Montserrat, F. Zhu, P. Bestagini, S. Tubaro, E.J. Delp, “Shadow Removal Detection and Localization for Forensics Analysis,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Brighton, UK, May 2019. DOI: 10.1109/ICASSP.2019.8683695

  20. D. Chen, Q. Chen, F. Zhu, “Pixel-Level Texture Segmentation Based AV1 Video Compression,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 2019. DOI:10.1109/ICASSP.2019.8682641

  21. Q. Chen, R. Abu-Zhaya, A. Seidl, F. Zhu, “CNN Based Touch Interaction Detection For Infant Speech Development,” Proceedings of IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), San Jose, California, USA, Mar 2019. (invited paper) DOI:10.1109/MIPR.2019.00012

  22. E.R. Bartusiak, S. Yarlagadda, D. Güera, P. Bestagini, S. Tubaro, F. Zhu, E.J. Delp, “Splicing Detection And Localization In Satellite Imagery Using Conditional GANs,” Proceedings of IEEE International Conference on Multimedia Information Processing and Retrieval, San Jose, California, USA, Mar 2019. (invited paper) DOI: 10.1109/MIPR.2019.00024

  23. J. He, K. Ziga, J. Bagchi, F. Zhu, “CNN Based Parameter Optimization for Texture Synthesis,” Electronic Imaging, Burlingame, CA, USA, Jan 2019. (Best Student Paper Award) DOI:10.2352/ISSN.2470-1173.2019.6.MAAP-484

  24. Z. Gu, S. Wang, F. Zhu, “Endmember Dictionary Based Hyperspectral Image Unmixing,” Proceedings of IEEE Global Conference on Signal and Information (GlobalSIP), Anaheim, California, USA, Nov 2018. DOI:10.1109/GlobalSIP.2018.8646644

  25. S. Fang, Z. Shao, R. Mao, C. Fu, D. A. Kerr, C. J. Boushey, E. J. Delp, F. Zhu, “Single-View Food Portion Estimation: Learning Image-to-Energy Mapping Using Generative Adversarial Networks,” Proceedings of the IEEE International Conference on Image Processing (ICIP), Athens, Greece, Oct 2018. DOI:10.1109/ICIP.2018.8451461

  26. Q. Chen, F. Zhu, “Long Term Hand Tracking with Proposal Selection,” Proceedings of the IEEE International Conference on Multimedia & Expo, San Diego, CA, USA, Jul 2018. DOI:10.1109/ICMEW.2018.8551542

  27. S. Fang, C. Liu, K. Tahboub, F. Zhu, C. J. Boushey, E. J. Delp, “cTADA: The Design of a Crowdsourcing Tool for Online Food Image Identification and Segmentation,” IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI), Las Vegas, NV, USA, Apr 2018. DOI:10.1109/SSIAI.2018.8470358

  28. S. Yarlagadda, F. Zhu, “A Reflectance Based Method for Shadow Detection and Removal,” IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI), Las Vegas, NV, USA, Apr 2018. DOI:10.1109/SSIAI.2018.8470343

  29. D. Güera, F. Zhu, S.K. Yarlagadda, S. Tubaro, P. Bestagini and E.J. Delp, “Reliability Map Estimation for CNN-Based Camera Model Attribution,” Proceedings of IEEE Winter Conference on Applications of Computer Vision, Lake Tahoe, NV, USA, Mar 2018, pp. 964-973. DOI: 10.1109/WACV.2018.00111

  30. S. Yarlagadda, D. Güera, P. Bestagini, F. Zhu, S. Tubaro, E.J. Delp, “Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier,” Electronic Imaging, Burlingame, CA, USA, Jan 2018 DOI: 10.2352/ISSN.2470-1173.2018.07.MWSF-214

  31. C. Fu, D. Chen, E.J. Delp, Z. Liu, F. Zhu, “Texture Segmentation Based Video Compression Using Convolutional Neural Networks,” Electronic Imaging, Burlingame, CA, USA, Jan 2018. DOI: 10.2352/ISSN.2470-1173.2018.2.VIPC-155

  32. D. Chen, Z. Liu, Y. Xu, F. Zhu, E.J. Delp, “Multi-Reference Video Coding Using Stillness Detection,” Electronic Imaging, Burlingame, CA, USA, Jan 2018. DOI: 10.2352ISSN.2470-1173.2018.2.VIPC-156

  33. S. Fang, F. Zhu, C. J. Boushy, E. J. Delp, “The Use of Co-Occurrence Patterns in Single Image Based Food Portion Estimation,” Proceedgins of the IEEE Global Conference on Signal and Information Processing (GlobalSIP), Montreal, Canada, Nov 2017. DOI:10.1109/GlobalSIP.2017.8308685

  34. Y. Wang, F. Zhu, C. J. Boushey, E. J. Delp, “Weakly Supervised Food Image Segmentation Using Class Activation Maps,” Proceedings of the IEEE International Conference on Image Processing (ICIP), Beijing, China, Sep 2017. DOI:10.1109/ICIP.2017.8296487

  35. Y. Wang, J. Ribera, C. Liu, S, Yarlagadda, F. Zhu, “Pill Recognition Using Minimal Labelled Data,” Proceedings of the IEEE International Conference on Multimedia Big Data (BigMM), Laguna Hills, CA, USA, April 2017. DOI:10.1109/BigMM.2017.61

  36. C.-J. Tai, T. Liu, J. Bagchi, F. Zhu, and J.P. Allebach, “Interactive Segmentation For Indoor Scenes,” Electronic Imaging, vol. 2017, no. 10, pp. 51-59, Burlingame, California, USA, Jan 2017. DOI: 10.2352/ISSN.2470-1173.2017.10.IMAWM-167

  37. T. Liu, C.-J. Tai, F. Zhu, J. Bagchi, and J.P. Allebach, “Texture re-rendering tool for re-mixing indoor scene images,” Electronic Imaging, vol. 2017, no. 10, pp. 86-92, Burlingame, CA, USA, Jan 2017. DOI: 10.2352/ISSN.2470-1173.2017.10.IMAWM-177

  38. K. Ziga, J. Bagchi, J. P. Allebach, and F. Zhu, “Non-parametric texture synthesis using texture classification,” Electronic Imaging, vol. 2017, no. 17, pp. 136-141, Burlingame, CA, USA, Jan 2017. DOI: 10.2352/ISSN.2470-1173.2017.17.COIMG-436

  39. M. Chen, Q. Lin, J.P. Allebach, F. Zhu, “Robust Person Recognition Using CNN,” Electronic Imaging, vol. 2017, no. 10, pp. 45-50, Burlingame, CA, USA, Jan 2017. 10.2352/ISSN.2470-1173.2017.10.IMAWM-165

  40. Y. Wang, S, Fang, C. Liu, F. Zhu, D. A. Kerr, C. J. Boushey, E. J. Delp, “Food Image Analysis: The Big Data Problem You Can Eat!” Proceedings of the Annual Asilomar Conference on Signals, Systems, and Computers (Asilomar), Pacific Grove, CA, USA, Nov 2016. DOI:10.1109/ACSSC.2016.7869576

  41. Z. Ahmad, M. Bosch, N. Khanna, D. A. Kerr, C. J. Boushey, F. Zhu, E. J. Delp. “A Mobile Food Record for Integrated Dietary Assessment,” Proceedings of the 2nd International Workshop on Multimedia Assisted Dietary Management, Amsterdam, The Netherlands, pp. 53-62, Oct 2016. DOI: 10.1145/2986035.2986038

  42. Y. Wang, C. Liu, F. Zhu, C. J. Boushey, E. J. Delp, “Efficient Superpixel based Segmentation for Food Image Analysis,” Proceedings of the IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, USA, Sep 2016. DOI:10.1109/ICIP.2016.7532818

  43. S. Fang, F. Zhu, C. Jiang, S. Zhang, C. J. Boushey, E. J. Delp, “A Comparison of Food Portion Size Estimation Using Geometric Models and Depth Images,” Proceedings of the IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, USA, Sep 2016. DOI:10.1109/ICIP.2016.7532312

  44. Q. Chen, H. Li, and R. Abu-Zhaya, A. Seidl, F. Zhu, E.J. Delp, “Touch Event Recognition for Human Interaction,” Electronic Imaging, vol. 2016, no. 11, pp. 1-6, San Francisco, CA, USA, Jan 2016. DOI: 10.2352/ISSN.2470-1173.2016.11.IMAWM-465

  45. S. Fang, C. Liu, F. Zhu, C. J. Boushey, E.J. Delp, “Single-View Food Portion Estimation Based on Geometric Models,” Proceedings of IEEE International Symposium on Multimedia (ISM), pp. 385-390, Miami, USA, Dec 2015. DOI:10.1109/ISM.2015.67

  46. S. Fang, C. Liu, F. Zhu, C. J. Boushey, E.J. Delp, “A Printer Indexing System for Color Calibration with Applications in Dietary Assessment,” Proceeding of the International Conference on Image Analysis and Processing Workshop, Vol. 9281, Springer International, pp. 358-365, Aug 2015. DOI: 10.1007/978-3-319-23222-5_44

  47. Y. Wang, Y. He, F. Zhu, C.J. Boushey, E.J. Delp, “The Use of Temporal Information in Food Image Analysis,” Proceeding of the International Conference on Image Analysis and Processing Workshop, Vol. 9281, Springer International, pp. 317-325, Aug 2015. DOI: 10.1007978-3-319-23222-5_39

  48. Y. Wang, C. Xu, C.J. Boushey, F. Zhu, E.J. Delp, “Mobile image based color correction using deblurring,” Proceedings of SPIE 9401, Computational Imaging XIII, Vol. 9401, pp. 940107-940107-12, San Francisco, USA, Feb 2015. DOI: 10.1117/12.2083133

  49. F. Zhu, F. Lv, “Augmented Video Calls on Mobile Devices,” Proceedings of SPIE 8856, Applications of Digital Image Processing XXXVI, pp. 88560E-88560E-6, San Diego, USA, Sep 2013. DOI: 10.1117/12.2026553

  50. C. Xu, F. Zhu, N. Khanna, C.J. Boushey, and E.J. Delp, “Image Enhancement and Quality Measures for Dietary Assessment Using Mobile Devices,” Proceedings of SPIE 8296, Computational Imaging X, Vol. 8296, pp. 82960Q-82960Q-10, Burlingame, USA, Jan 2012. DOI: 10.1117/12.909949

  51. F. Zhu, M. Bosch, N. Khanna, C. J. Boushey, and E. J. Delp, “Multilevel Segmentation for Food Classification in Dietary Assessment,” Proceedings of 7th International Symposium on Image and Signal Processing and Analysis (ISPA), pp. 337-342, Dubrovnik, Croatia, Sep 2011. PubMed Central PMCID: PMC3224861

  52. M. Yang, Y. He, F. Zhu, M. Bosch, M. Comer, and E.J. Delp, “Video Coding: Death Is Not Near,” Proceedings of the 53rd International Symposium ELMAR, pp. 85-88, Zadar, Croatia, Sep 2011. (Invited Paper).

  53. M. Bosch, F. Zhu, N. Khanna, C.J. Boushey, and E.J. Delp, “Combining Global and Local Features for Food Identification in Dietary Assessment,” Proceedings of the IEEE International Conference on Image Processing (ICIP), pp. 1789-1792, Brussels, Belgium, Sep 2011. DOI:10.1109/ICIP.2011.6115809

  54. M. Bosch, F. Zhu, N. Khanna, C.J. Boushey, and E.J. Delp, “Food Texture Descriptors Based on Fractal and Local Gradient Information,” Proceedings of the 19th European Signal Processing Conference, Barcelona, Spain, Aug 2011.

  55. M. Bosch, T. Schap, N. Khanna, F. Zhu, C.J. Boushey, and E.J. Delp, “Integrated Databases System for Mobile Dietary Assessment and Analysis,” Proceedings of the IEEE International Conference on Multimedia and Expo, pp. 1-6, Barcelona, Spain, Jul 2011. DOI: 10.1109/ICME.2011.6012202

  56. F. Zhu, M. Bosch, T.E. Schap, N. Khanna, D.S. Ebert, C.J. Boushey, and E.J. Delp, “Segmentation Assisted Food Classification for Dietary Assessment,” Proceedings of the SPIE, Computational Imaging IX, vol. 7873, pp. 78730B-78730B-8, San Francisco, USA, Jan 2011. DOI: 10.1117/12.877036

  57. J. Chae, I. Woo, S. Kim, R. Maciejewski, F. Zhu, E.J. Delp, C.J. Boushey, and D.S. Ebert, “Volume Estimation Using Food Specific Shape Templates in Mobile Image-Based Dietary Assessment,” Proceedings of the SPIE, Computational Imaging IX, vol. 7873, pp. 78730K-78730K-8, San Francisco, USA, Jan 2011. DOI: 10.1117/12.876669

  58. F. Zhu, M. Bosch, C. J. Boushey, and E. J. Delp, “An Image Analysis System for Dietary Assessment and Evaluation,” Proceedings of the IEEE International Conference on Image Processing (ICIP), pp. 1853-1856, Hong Kong, China, Sep 2010. DOI:10.1109/ICIP.2010.5650848

  59. N. Khanna, F. Zhu, M. Bosch, M. Yang, M. Comer, and E.J. Delp, “Information Theory Inspired Video Coding Methods: Truth Is Sometimes Better Than Fiction,” Proceedings of the Third Workshop on Information Theoretic Methods in Science and Engineering, Tampere, Finland, Aug 2010.

  60. M. Bosch, F. Zhu, and E. J. Delp, “Perceptual quality evaluation for texture and motion based video coding,” Proceedings of the IEEE International Conference on Image Processing (ICIP), pp. 2285-2288, Cairo, Egypt, Nov 2009. DOI:10.1109/ICIP.2009.5414416

  61. M. Bosch, F. Zhu, and E. J. Delp, “An Overview of Texture and Motion based Video Coding at Purdue University,” Proceedings of the 27th Picture Coding Symposium (PCS), pp. 1-4, Chicago, USA, May 2009. DOI:10.1109/PCS.2009.5167388

  62. A. Mariappan, M. Bosch, F. Zhu, C.J. Boushey, D.A. Kerr, D.S. Ebert, and E.J. Delp, “Personal Dietary Assessment Using Mobile Devices,” Proceedings of SPIE 7246, Computational Imaging VII, vol. 7246, pp. 72460Z-72460Z-12, San Jose, USA, Jan 2009. DOI: 10.1117/12.813556

  63. M. Bosch, F. Zhu, and E.J. Delp, “Video Coding Using Motion Classification,” Proceedings of the IEEE International Conference on Image Processing (ICIP), pp. 1588-1591, San Diego, USA, Oct 2008. DOI:10.1109/ICIP.2008.4712073

  64. M. Bosch, F. Zhu, and E.J. Delp, “Models for texture based video coding,” Proceedings of International Workshop on Local and Non-Local Approximation in Image Processing, Lausanne, Switzerland, Aug 2008.

  65. F. Zhu, A. Mariappan, C.J. Boushey, D.A. Kerr, K.D. Lutes, D.S. Ebert, and E J. Delp, “Technology-Assisted Dietary Assessment,“ Proceedings of SPIE 6814, Computational Imaging VI, vol. 6814, pp. 681411-681411-10, San Jose, USA, Jan 2008. DOI: 10.1117/12.778616

  66. M. Bosch, F. Zhu, and E. J. Delp, “Spatial Texture Models for Video Compression,” Proceedings of IEEE International Conference on Image Processing (ICIP), pp. I-93-I-96, San Antonio, USA, Sep 2007. DOI:10.1109/ICIP.2007.4378899

  67. L. Liu, M. Bosch, F. Zhu, and E.J. Delp, “Recent advances in video compression: what's next?,” Proceedings of the IEEE International Symposium on Signal Processing and its Applications, pp. 1-8, Sharjah, United Arab Emirates, Feb 2007 (Plenary Paper). DOI: 10.1109/ISSPA.2007.4555634

  68. F. Zhu, K. Ng, G. Abdollahian, and E.J. Delp, “Spatial and Temporal Models for Texture-Based Video Coding,” Proceedings of SPIE 6508, Video Communications and Image Processing 2007, pp. 650806-650806-10, San Jose, USA, Jan 2007. DOI: 10.1117/12.705068

Patent

  1. F. Lv, F. Zhu, L. Zhou, and P. Wang, “Accurate 3D Finger Tracking with a Single Camera,” Apr. 26 2016, US Patent 9323346.

  2. J. Ehmann, L. Zhou, O. G. Guleryuz, F. Lv, F. Zhu, and N. Dhar, “System and Method for Augmented Reality-Enabled Interactions and Collaboration,” Feb. 23 2016, US Patent 9270943, World Patent 2016149616A1.

  3. F. Zhu, F. Lv, and P. Wang, “Augmented Video Calls on Mobile Devices,” Apr. 21 2015, US Patent 9,013,536.

  4. Y. Bang, E.J. Delp, F. Zhu, H. Lee, and H. Choh, “Method and Apparatus for Enhancing Resolution of Video Image,” Dec. 11 2012, US Patent 8331451.