no code implementations • 19 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.
no code implementations • 30 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.
2 code implementations • 15 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.
no code implementations • 30 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.