Delp, Edward J.

Deepfake Video Detection Using Recurrent Neural Networks

Guera, D., & Delp, E. J. (2018) · 2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 1,285

The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation

Zhu, F., Bosch, M., Woo, I., Kim, S., Boushey, C. J., Ebert, D. S., & Delp, E. J. (2010) · IEEE Journal of Selected Topics in Signal Processing

Mobile Health and mHealth ApplicationsInnovation in Digital Healthcare Systems

Cited by 355

Use of technology in children’s dietary assessment

Boushey, C. J., Kerr, D. A., Wright, J., Lutes, K. D., Ebert, D. S., & Delp, E. J. (2009) · European Journal of Clinical Nutrition

Mobile Health and mHealth ApplicationsNutrition, Health and Food Behavior

Cited by 231

Deepfakes Detection with Automatic Face Weighting

Montserrat, D. M., Hao, H., Yarlagadda, S. K., Baireddy, S., Shao, R., Horvath, J., Bartusiak, E., Yang, J., Guera, D., Zhu, F., et al. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 181

Novel Technologies for Assessing Dietary Intake: Evaluating the Usability of a Mobile Telephone Food Record Among Adults and Adolescents

Daugherty, B. L., Schap, T. E., Ettienne-Gittens, R., Zhu, F. M., Bosch, M., Delp, E. J., Ebert, D. S., Kerr, D. A., & Boushey, C. J. (2012) · Journal of Medical Internet Research

Mobile Health and mHealth ApplicationsNutrition, Health and Food Behavior

Cited by 176

How Willing Are Adolescents to Record Their Dietary Intake? The Mobile Food Record

Boushey, C. J., Harray, A. J., Kerr, D. A., Schap, T. E., Paterson, S., Aflague, T., Bosch Ruiz, M., Ahmad, Z., & Delp, E. J. (2015) · JMIR mHealth and uHealth

Mobile Health and mHealth ApplicationsNutrition, Health and Food Behavior

Cited by 67

Effect of Fibre Supplementation on Body Weight and Composition, Frequency of Eating and Dietary Choice in Overweight Individuals

Solah, V., Kerr, D., Hunt, W. J., Johnson, S., Boushey, C., Delp, E., Meng, X., Gahler, R., James, A., Mukhtar, A., et al. (2017) · Nutrients

Food composition and propertiesNutrition, Health and Food Behavior

Cited by 60

Comparison of Known Food Weights with Image-Based Portion-Size Automated Estimation and Adolescents' Self-Reported Portion Size

Lee, C. D., Chae, J., Schap, T. E., Kerr, D. A., Delp, E. J., Ebert, D. S., & Boushey, C. J. (2012) · Journal of Diabetes Science and Technology

Mobile Health and mHealth ApplicationsNutrition, Health and Food Behavior

Cited by 58

Temporal dietary patterns derived among the adult participants of the national health and nutrition examination survey 1999-2004 are associated with diet quality

Eicher-Miller, H. A., Khanna, N., Boushey, C. J., Gelfand, S. B., & Delp, E. J. (2016) · Journal of the Academy of Nutrition and Dietetics

Nutritional Studies and DietNutrition, Health and Food Behavior

Cited by 57

The Effect of Timing of Exercise and Eating on Postprandial Response in Adults: A Systematic Review

Aqeel, M., Forster, A., Richards, E., Hennessy, E., McGowan, B., Bhadra, A., Guo, J., Gelfand, S., Delp, E., & Eicher-Miller, H. (2020) · Nutrients

Physical Activity and HealthDiabetes Management and Research

Cited by 54

Pediatric Videosomnography: Can Signal/Video Processing Distinguish Sleep and Wake States?

Schwichtenberg, A. J., Choe, J., Kellerman, A., Abel, E. A., & Delp, E. J. (2018) · Frontiers in Pediatrics

Sleep and related disordersSleep and Wakefulness Research

Cited by 35

Information Forensics and Security: A quarter-century-long journey

Barni, M., Campisi, P., Delp, E. J., Doërr, G., Fridrich, J., Memon, N., Pérez-González, F., Rocha, A., Verdoliva, L., & Wu, M. (2023) · IEEE Signal Processing Magazine

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 28

Forensic Analysis of Synthetically Generated Western Blot Images

Mandelli, S., Cozzolino, D., Cannas, E. D., Cardenuto, J. P., Moreira, D., Bestagini, P., Scheirer, W. J., Rocha, A., Verdoliva, L., Tubaro, S., et al. (2022) · IEEE Access

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 26

FairSSD: Understanding Bias in Synthetic Speech Detectors

Singh Yadav, A. K., Bhagtani, K., Salvi, D., Bestagini, P., & Delp, E. J. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 12

Are Recent Deepfake Speech Generators Detectable?

Bhagtani, K., Yadav, A. K. S., Bestagini, P., & Delp, E. J. (2024) · Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 9

Extracting Efficient Spectrograms From MP3 Compressed Speech Signals for Synthetic Speech Detection

Xiang, Z., Yadav, A. K. S., Tubaro, S., Bestagini, P., & Delp, E. J. (2023) · Proceedings of the 2023 ACM Workshop on Information Hiding and Multimedia Security

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 6