Search Results for author: Shiv Gehlot

Found 4 papers, 1 papers with code

Standardizing Generative Face Video Compression using Supplemental Enhancement Information

no code implementations19 Oct 2024 Bolin Chen, Yan Ye, Jie Chen, Ru-Ling Liao, Shanzhi Yin, Shiqi Wang, Kaifa Yang, Yue Li, Yiling Xu, Ye-kui Wang, Shiv Gehlot, Guan-Ming Su, Peng Yin, Sean McCarthy, Gary J. Sullivan

This paper proposes a Generative Face Video Compression (GFVC) approach using Supplemental Enhancement Information (SEI), where a series of compact spatial and temporal representations of a face video signal (i. e., 2D/3D key-points, facial semantics and compact features) can be coded using SEI message and inserted into the coded video bitstream.

Video Compression

FUSION: Fully Unsupervised Test-Time Stain Adaptation via Fused Normalization Statistics

no code implementations30 Aug 2022 Nilanjan Chattopadhyay, Shiv Gehlot, Nitin Singhal

Stain variation, defined as a chromatic difference between the source and the target, is caused by varying characteristics during staining, resulting in a distribution shift and poor performance on the target.

Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection

2 code implementations15 Sep 2021 Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B Gotway, Jianming Liang

At the image level, we compare convolutional neural networks (CNNs) with vision transformers, and contrast self-supervised learning (SSL) with supervised learning, followed by an evaluation of transfer learning compared with training from scratch.

Deep Learning Multiple Instance Learning +3

SDCT-AuxNet$^θ$: DCT Augmented Stain Deconvolutional CNN with Auxiliary Classifier for Cancer Diagnosis

no code implementations30 May 2020 Shiv Gehlot, Anubha Gupta, Ritu Gupta

However, the development of such a tool for ALL cancer was challenging so far due to the non-availability of a large training dataset.

Decision Making

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