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cs.CV2023
Learning Generalizable Perceptual Representations for Data-Efficient No-Reference Image Quality Assessment
Suhas Srinath, Shankhanil Mitra, Shika Rao +1
No-reference (NR) image quality assessment (IQA) is an important tool in enhancing the user experience in diverse visual applications. A major drawback of state-of-the-art NR-IQA t…
cs.CV2023
GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation
Vishnuvardhan Purma, Suhas Srinath, Seshan Srirangarajan +2
Histopathological image segmentation is a laborious and time-intensive task, often requiring analysis from experienced pathologists for accurate examinations. To reduce this burden…