Deepti Ghadiyaram
Affiliations: | University of Texas at Austin, Austin, Texas, U.S.A. |
Area:
Image and Video Processing, Computer Vision, Machine LearningGoogle:
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Publications
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Mandal M, Ghadiyaram D, Gurari D, et al. (2023) Helping Visually Impaired People Take Better Quality Pictures. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 32: 3873-3884 |
Ghadiyaram D, Pan J, Bovik AC. (2019) A Subjective and Objective Study of Stalling Events in Mobile Streaming Videos Ieee Transactions On Circuits and Systems For Video Technology. 29: 183-197 |
Ghadiyaram D, Pan J, Bovik AC. (2018) Learning a Continuous-Time Streaming Video QoE Model. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 27: 2257-2271 |
Ghadiyaram D, Pan J, Bovik AC, et al. (2018) In-Capture Mobile Video Distortions: A Study of Subjective Behavior and Objective Algorithms Ieee Transactions On Circuits and Systems For Video Technology. 28: 2061-2077 |
Kundu D, Ghadiyaram D, Bovik A, et al. (2017) Large-scale Crowdsourced Study for Tone Mapped HDR Pictures. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society |
Kundu D, Ghadiyaram D, Bovik A, et al. (2017) No-Reference Quality Assessment of Tone-Mapped HDR Pictures. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society |
Ghadiyaram D, Bovik AC. (2017) Perceptual quality prediction on authentically distorted images using a bag of features approach. Journal of Vision. 17: 32 |
Kim J, Zeng H, Ghadiyaram D, et al. (2017) Deep Convolutional Neural Models for Picture-Quality Prediction: Challenges and Solutions to Data-Driven Image Quality Assessment Ieee Signal Processing Magazine. 34: 130-141 |
Ghadiyaram D, Bovik AC. (2016) Massive Online Crowdsourced Study of Subjective and Objective Picture Quality. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 25: 372-87 |
Ghadiyaram D, Bovik A. (2015) Automatic quality prediction of authentically distorted pictures Spie Newsroom |