58 citations · 121 across the 5 of their papers we have counts for
5 papers
Underwater Image Enhancement using Generative Adversarial Networks: A Survey
Kancharagunta Kishan Babu, Ashreen Tabassum, Bommakanti Navaneeth +2
In recent years, there has been a surge of research focused on underwater image enhancement using Generative Adversarial Networks (GANs), driven by the need to overcome the challen…
PCSGAN: Perceptual Cyclic-Synthesized Generative Adversarial Networks for Thermal and NIR to Visible Image Transformation
Kancharagunta Kishan Babu, Shiv Ram Dubey
In many real world scenarios, it is difficult to capture the images in the visible light spectrum (VIS) due to bad lighting conditions. However, the images can be captured in such…
CDGAN: Cyclic Discriminative Generative Adversarial Networks for Image-to-Image Transformation
Kancharagunta Kishan Babu, Shiv Ram Dubey
Generative Adversarial Networks (GANs) have facilitated a new direction to tackle the image-to-image transformation problem. Different GANs use generator and discriminator networks…
CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation
Kishan Babu Kancharagunta, Shiv Ram Dubey
The primary motivation of Image-to-Image Transformation is to convert an image of one domain to another domain. Most of the research has been focused on the task of image transform…
RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification
S H Shabbeer Basha, Soumen Ghosh, Kancharagunta Kishan Babu +3
Efficient and precise classification of histological cell nuclei is of utmost importance due to its potential applications in the field of medical image analysis. It would facilita…