| A counter-forensic method for CNN-based camera model identification D Güera, Y Wang, L Bondi, P Bestagini, S Tubaro, EJ Delp 2017 IEEE conference on computer vision and pattern recognition workshops …, 2017 | 61 | 2017 |
| Pill recognition using minimal labeled data Y Wang, J Ribera, C Liu, S Yarlagadda, F Zhu 2017 IEEE Third International Conference on Multimedia Big Data (BigMM), 346-353, 2017 | 36 | 2017 |
| Weakly supervised food image segmentation using class activation maps Y Wang, F Zhu, CJ Boushey, EJ Delp 2017 IEEE International Conference on Image Processing (ICIP), 1277-1281, 2017 | 34 | 2017 |
| Context based image analysis with application in dietary assessment and evaluation Y Wang, Y He, CJ Boushey, F Zhu, EJ Delp Multimedia tools and applications 77, 19769-19794, 2018 | 33 | 2018 |
| Efficient superpixel based segmentation for food image analysis Y Wang, C Liu, F Zhu, CJ Boushey, EJ Delp 2016 IEEE International Conference on Image Processing (ICIP), 2544-2548, 2016 | 19 | 2016 |
| Dietary assessment of domoic acid exposure: What can be learned from traditional methods and new applications for a technology assisted device CJ Boushey, EJ Delp, Z Ahmad, Y Wang, SM Roberts, LM Grattan Harmful algae 57, 51-55, 2016 | 14 | 2016 |
| The use of temporal information in food image analysis Y Wang, Y He, F Zhu, C Boushey, E Delp New Trends in Image Analysis and Processing--ICIAP 2015 Workshops: ICIAP …, 2015 | 14 | 2015 |
| A counter-forensic method for CNN-based camera model identification Y Wang, L Bondi, P Bestagini, S Tubaro, DJ Edward Delp Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 7 | 2017 |
| Mobile image based color correction using deblurring Y Wang, C Xu, C Boushey, F Zhu, EJ Delp Computational Imaging XIII 9401, 45-56, 2015 | 6 | 2015 |
| Food image analysis: The big data problem you can eat! Y Wang, S Fang, C Liu, F Zhu, DA Kerr, CJ Boushey, EJ Delp 2016 50th Asilomar Conference on Signals, Systems and Computers, 1263-1267, 2016 | 4 | 2016 |
Edward DelpPurdue University在 ecn.purdue.edu 的电子邮件经过验证
