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Deepti Ghadiyaram
Deepti Ghadiyaram
Senior Research Scientist at Facebook AI
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Title
Cited by
Cited by
Year
Massive online crowdsourced study of subjective and objective picture quality
D Ghadiyaram, AC Bovik
IEEE Transactions on Image Processing 25 (1), 372-387, 2015
4532015
Large-scale weakly-supervised pre-training for video action recognition
D Ghadiyaram, D Tran, D Mahajan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
2952019
Perceptual quality prediction on authentically distorted images using a bag of features approach
D Ghadiyaram, AC Bovik
Journal of vision 17 (1), 32-32, 2017
2442017
Deep convolutional neural models for picture-quality prediction: Challenges and solutions to data-driven image quality assessment
J Kim, H Zeng, D Ghadiyaram, S Lee, L Zhang, AC Bovik
IEEE Signal processing magazine 34 (6), 130-141, 2017
2352017
No-reference quality assessment of tone-mapped HDR pictures
D Kundu, D Ghadiyaram, AC Bovik, BL Evans
IEEE Transactions on Image Processing 26 (6), 2957-2971, 2017
1332017
From patches to pictures (PaQ-2-PiQ): Mapping the perceptual space of picture quality
Z Ying, H Niu, P Gupta, D Mahajan, D Ghadiyaram, A Bovik
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1172020
ClusterFit: Improving Generalization of Visual Representations
X Yan, I Misra, A Gupta, D Ghadiyaram, D Mahajan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1052020
In-capture mobile video distortions: A study of subjective behavior and objective algorithms
D Ghadiyaram, J Pan, AC Bovik, AK Moorthy, P Panda, KC Yang
IEEE Transactions on Circuits and Systems for Video Technology 28 (9), 2061-2077, 2017
1022017
A subjective and objective study of stalling events in mobile streaming videos
D Ghadiyaram, J Pan, AC Bovik
IEEE Transactions on Circuits and Systems for Video Technology 29 (1), 183-197, 2017
902017
Study of the effects of stalling events on the quality of experience of mobile streaming videos
D Ghadiyaram, AC Bovik, H Yeganeh, R Kordasiewicz, M Gallant
2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2014
842014
Less is more: Learning highlight detection from video duration
B Xiong, Y Kalantidis, D Ghadiyaram, K Grauman
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
692019
Large-scale crowdsourced study for tone-mapped HDR pictures
D Kundu, D Ghadiyaram, AC Bovik, BL Evans
IEEE Transactions on Image Processing 26 (10), 4725-4740, 2017
68*2017
Don't judge an object by its context: Learning to overcome contextual bias
KK Singh, D Mahajan, K Grauman, YJ Lee, M Feiszli, D Ghadiyaram
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
672020
Patch-VQ:'Patching Up'the video quality problem
Z Ying, M Mandal, D Ghadiyaram, A Bovik
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
632021
How2sign: a large-scale multimodal dataset for continuous american sign language
A Duarte, S Palaskar, L Ventura, D Ghadiyaram, K DeHaan, F Metze, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
572021
Learning a Continuous-Time Streaming Video QoE Model
D Ghadiyaram, J Pan, AC Bovik
IEEE Transactions on Image Processing 27 (5), 2257-2271, 2018
542018
Blind image quality assessment on real distorted images using deep belief nets
D Ghadiyaram, AC Bovik
2014 IEEE global conference on signal and information processing (GlobalSIP …, 2014
452014
Generic event boundary detection: A benchmark for event segmentation
MZ Shou, SW Lei, W Wang, D Ghadiyaram, M Feiszli
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
402021
A time-varying subjective quality model for mobile streaming videos with stalling events
D Ghadiyaram, J Pan, AC Bovik
Applications of Digital Image Processing XXXVIII 9599, 348-355, 2015
372015
Feature maps driven no-reference image quality prediction of authentically distorted images
D Ghadiyaram, AC Bovik
Human Vision and Electronic Imaging XX 9394, 158-171, 2015
362015
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