Search Results for author: Shankhanil Mitra

Found 5 papers, 4 papers with code

Knowledge Guided Semi-Supervised Learning for Quality Assessment of User Generated Videos

1 code implementation24 Dec 2023 Shankhanil Mitra, Rajiv Soundararajan

Perceptual quality assessment of user generated content (UGC) videos is challenging due to the requirement of large scale human annotated videos for training.

Representation Learning Transfer Learning +2

Test Time Adaptation for Blind Image Quality Assessment

2 code implementations ICCV 2023 Subhadeep Roy, Shankhanil Mitra, Soma Biswas, Rajiv Soundararajan

In this work, we introduce two novel quality-relevant auxiliary tasks at the batch and sample levels to enable TTA for blind IQA.

Blind Image Quality Assessment Test

Semi-supervised Learning of Perceptual Video Quality by Generating Consistent Pairwise Pseudo-Ranks

no code implementations30 Nov 2022 Shankhanil Mitra, Saiyam Jogani, Rajiv Soundararajan

Designing learning-based no-reference (NR) video quality assessment (VQA) algorithms for camera-captured videos is cumbersome due to the requirement of a large number of human annotations of quality.

Video Quality Assessment Visual Question Answering (VQA)

Multiview Contrastive Learning for Completely Blind Video Quality Assessment of User Generated Content

1 code implementation13 Jul 2022 Shankhanil Mitra, Rajiv Soundararajan

Completely blind video quality assessment (VQA) refers to a class of quality assessment methods that do not use any reference videos, human opinion scores or training videos from the target database to learn a quality model.

Contrastive Learning Optical Flow Estimation +2

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