Massive online crowdsourced study of subjective and objective picture quality D Ghadiyaram, AC Bovik IEEE Transactions on Image Processing 25 (1), 372-387, 2015 | 712 | 2015 |
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 | 381 | 2019 |
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 | 328 | 2020 |
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 | 328 | 2017 |
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 | 292 | 2017 |
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 | 190 | 2021 |
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 | 175 | 2021 |
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 | 175 | 2017 |
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 | 157 | 2020 |
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 | 156 | 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 | 129 | 2020 |
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 | 127 | 2017 |
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 | 126 | 2019 |
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 | 95 | 2014 |
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 | 90* | 2017 |
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 | 79 | 2021 |
Learning a Continuous-Time Streaming Video QoE Model D Ghadiyaram, J Pan, AC Bovik IEEE Transactions on Image Processing 27 (5), 2257-2271, 2018 | 74 | 2018 |
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 | 54 | 2014 |
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 | 39 | 2015 |
Activity driven weakly supervised object detection Z Yang, D Mahajan, D Ghadiyaram, R Nevatia, V Ramanathan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 38 | 2019 |