Search Results for author: Deepti Ghadiyaram

Found 11 papers, 7 papers with code

Generic Event Boundary Detection: A Benchmark for Event Segmentation

2 code implementations ICCV 2021 Mike Zheng Shou, Stan Weixian Lei, Weiyao Wang, Deepti Ghadiyaram, Matt Feiszli

This paper presents a novel task together with a new benchmark for detecting generic, taxonomy-free event boundaries that segment a whole video into chunks.

Action Detection Boundary Detection +3

Patch-VQ: 'Patching Up' the Video Quality Problem

1 code implementation CVPR 2021 Zhenqiang Ying, Maniratnam Mandal, Deepti Ghadiyaram, Alan Bovik

No-reference (NR) perceptual video quality assessment (VQA) is a complex, unsolved, and important problem to social and streaming media applications.

Video Quality Assessment Visual Question Answering

How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language

no code implementations CVPR 2021 Amanda Duarte, Shruti Palaskar, Lucas Ventura, Deepti Ghadiyaram, Kenneth DeHaan, Florian Metze, Jordi Torres, Xavier Giro-i-Nieto

Towards this end, we introduce How2Sign, a multimodal and multiview continuous American Sign Language (ASL) dataset, consisting of a parallel corpus of more than 80 hours of sign language videos and a set of corresponding modalities including speech, English transcripts, and depth.

Sign Language Production Sign Language Translation +1

From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality

2 code implementations CVPR 2020 Zhenqiang Ying, Haoran Niu, Praful Gupta, Dhruv Mahajan, Deepti Ghadiyaram, Alan Bovik

Blind or no-reference (NR) perceptual picture quality prediction is a difficult, unsolved problem of great consequence to the social and streaming media industries that impacts billions of viewers daily.

ClusterFit: Improving Generalization of Visual Representations

1 code implementation CVPR 2020 Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, Dhruv Mahajan

Pre-training convolutional neural networks with weakly-supervised and self-supervised strategies is becoming increasingly popular for several computer vision tasks.

Action Classification Image Classification +1

Large-scale weakly-supervised pre-training for video action recognition

3 code implementations CVPR 2019 Deepti Ghadiyaram, Matt Feiszli, Du Tran, Xueting Yan, Heng Wang, Dhruv Mahajan

Second, frame-based models perform quite well on action recognition; is pre-training for good image features sufficient or is pre-training for spatio-temporal features valuable for optimal transfer learning?

Ranked #2 on Egocentric Activity Recognition on EPIC-KITCHENS-55 (Actions Top-1 (S2) metric)

Action Classification Action Recognition +3

Less is More: Learning Highlight Detection from Video Duration

no code implementations CVPR 2019 Bo Xiong, Yannis Kalantidis, Deepti Ghadiyaram, Kristen Grauman

Highlight detection has the potential to significantly ease video browsing, but existing methods often suffer from expensive supervision requirements, where human viewers must manually identify highlights in training videos.

Perceptual Quality Prediction on Authentically Distorted Images Using a Bag of Features Approach

1 code implementation15 Sep 2016 Deepti Ghadiyaram, Alan C. Bovik

Current top-performing blind perceptual image quality prediction models are generally trained on legacy databases of human quality opinion scores on synthetically distorted images.

Massive Online Crowdsourced Study of Subjective and Objective Picture Quality

no code implementations9 Nov 2015 Deepti Ghadiyaram, Alan C. Bovik

Towards overcoming these limitations, we designed and created a new database that we call the LIVE In the Wild Image Quality Challenge Database, which contains widely diverse authentic image distortions on a large number of images captured using a representative variety of modern mobile devices.

Blind Image Quality Assessment Small Data Image Classification

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