2 citations · 3 across the 7 of their papers we have counts for
7 papers
A Language-Guided Benchmark for Weakly Supervised Open Vocabulary Semantic Segmentation
Prashant Pandey, Mustafa Chasmai, Monish Natarajan +1
Increasing attention is being diverted to data-efficient problem settings like Open Vocabulary Semantic Segmentation (OVSS) which deals with segmenting an arbitrary object that may…
Injectable Bubbles for Physiological Pressure Measurement
Prashant Pandey
Microbubbles - used as contrast agents in ultrasound imaging - are important tools in biomedical research, having been used together with ultrasound to develop significant diagnost…
Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs
Prashant Pandey, Aleti Vardhan, Mustafa Chasmai +2
Few-shot Learning (FSL) methods are being adopted in settings where data is not abundantly available. This is especially seen in medical domains where the annotations are expensive…
Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs
Prashant Pandey, Mustafa Chasmai, Tanuj Sur +1
Despite the tremendous progress made by deep learning models in image semantic segmentation, they typically require large annotated examples, and increasing attention is being dive…
Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent Search
Prashant Pandey, Aayush Kumar Tyagi, Sameer Ambekar +1
Segmentation of the pixels corresponding to human skin is an essential first step in multiple applications ranging from surveillance to heart-rate estimation from remote-photopleth…
Target-Independent Domain Adaptation for WBC Classification using Generative Latent Search
Prashant Pandey, Prathosh AP, Vinay Kyatham +2
Automating the classification of camera-obtained microscopic images of White Blood Cells (WBCs) and related cell subtypes has assumed importance since it aids the laborious manual…