Deepti Ghadiyaram

Orcid: 0000-0002-0736-0602

According to our database1, Deepti Ghadiyaram authored at least 35 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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On csauthors.net:

Bibliography

2023
Helping Visually Impaired People Take Better Quality Pictures.
IEEE Trans. Image Process., 2023

Mitigating stereotypical biases in text to image generative systems.
CoRR, 2023

Beyond web-scraping: Crowd-sourcing a geographically diverse image dataset.
CoRR, 2023

GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Telepresence Video Quality Assessment.
Proceedings of the Computer Vision - ECCV 2022, 2022

Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Generic Event Boundary Detection: A Benchmark for Event Segmentation.
CoRR, 2021

Generic Event Boundary Detection: A Benchmark for Event Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Patch-VQ: 'Patching Up' the Video Quality Problem.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

How2Sign: A Large-Scale Multimodal Dataset for Continuous American Sign Language.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language.
CoRR, 2020

From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

ClusterFit: Improving Generalization of Visual Representations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
A Subjective and Objective Study of Stalling Events in Mobile Streaming Videos.
IEEE Trans. Circuits Syst. Video Technol., 2019

Large-scale weakly-supervised pre-training for video action recognition.
CoRR, 2019

Activity Driven Weakly Supervised Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Less Is More: Learning Highlight Detection From Video Duration.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Learning a Continuous-Time Streaming Video QoE Model.
IEEE Trans. Image Process., 2018

In-Capture Mobile Video Distortions: A Study of Subjective Behavior and Objective Algorithms.
IEEE Trans. Circuits Syst. Video Technol., 2018

2017
Large-Scale Crowdsourced Study for Tone-Mapped HDR Pictures.
IEEE Trans. Image Process., 2017

No-Reference Quality Assessment of Tone-Mapped HDR Pictures.
IEEE Trans. Image Process., 2017

Deep Convolutional Neural Models for Picture-Quality Prediction: Challenges and Solutions to Data-Driven Image Quality Assessment.
IEEE Signal Process. Mag., 2017

A no-reference video quality predictor for compression and scaling artifacts.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Subjective and objective quality assessment of Mobile Videos with In-Capture distortions.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Massive Online Crowdsourced Study of Subjective and Objective Picture Quality.
IEEE Trans. Image Process., 2016

Perceptual Quality Prediction on Authentically Distorted Images Using a Bag of Features Approach.
CoRR, 2016

No-reference image quality assessment for high dynamic range images.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Scene statistics of authentically distorted images in perceptually relevant color spaces for blind image quality assessment.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Feature maps driven no-reference image quality prediction of authentically distorted images.
Proceedings of the Human Vision and Electronic Imaging XX, 2015

2014
Delivery quality score model for Internet video.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Study of the effects of stalling events on the quality of experience of mobile streaming videos.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Blind image quality assessment on real distorted images using deep belief nets.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Crowdsourced study of subjective image quality.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014


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