6 citations · 17 across the 7 of their papers we have counts for
8 papers
RadFormer: Transformers with Global-Local Attention for Interpretable and Accurate Gallbladder Cancer Detection
Soumen Basu, Mayank Gupta, Pratyaksha Rana +2
We propose a novel deep neural network architecture to learn interpretable representation for medical image analysis. Our architecture generates a global attention for region of in…
Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining
Soumen Basu, Somanshu Singla, Mayank Gupta +3
Rich temporal information and variations in viewpoints make video data an attractive choice for learning image representations using unsupervised contrastive learning (UCL) techniq…
Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning
Soumen Basu, Mayank Gupta, Pratyaksha Rana +2
We explore the potential of CNN-based models for gallbladder cancer (GBC) detection from ultrasound (USG) images as no prior study is known. USG is the most common diagnostic modal…
A Supervised Learning Approach for Robust Health Monitoring using Face Videos
Mayank Gupta, Lingjun Chen, Denny Yu +1
Monitoring of cardiovascular activity is highly desired and can enable novel applications in diagnosing potential cardiovascular diseases and maintaining an individual's well-being…
Covfefe: A Computer Vision Approach For Estimating Force Exertion
Vaneet Aggarwal, Hamed Asadi, Mayank Gupta +2
Cumulative exposure to repetitive and forceful activities may lead to musculoskeletal injuries which not only reduce workers' efficiency and productivity, but also affect their qua…
Parametric Synthesis of Text on Stylized Backgrounds using PGGANs
Mayank Gupta, Abhinav Kumar, Sriganesh Madhvanath
We describe a novel method of generating high-resolution real-world images of text where the style and textual content of the images are described parametrically. Our method combin…