no code implementations • 11 Sep 2023 • Soumen Basu, Ashish Papanai, Mayank Gupta, Pankaj Gupta, Chetan Arora
We posit that even when we have only the image level label, still formulating the problem as object detection (with bounding box output) helps a deep neural network (DNN) model focus on the relevant region of interest.
1 code implementation • 9 Nov 2022 • Soumen Basu, Mayank Gupta, Pratyaksha Rana, Pankaj Gupta, Chetan Arora
We propose a novel deep neural network architecture to learn interpretable representation for medical image analysis.
1 code implementation • 26 Jul 2022 • Soumen Basu, Somanshu Singla, Mayank Gupta, Pratyaksha Rana, Pankaj Gupta, Chetan Arora
We further validate the generalizability of our method on a publicly available lung US image dataset of COVID-19 pathologies and show an improvement of 1. 5% compared to SOTA.
1 code implementation • CVPR 2022 • Soumen Basu, Mayank Gupta, Pratyaksha Rana, Pankaj Gupta, Chetan Arora
However, USG images are challenging to analyze due to low image quality, noise, and varying viewpoints due to the handheld nature of the sensor.
Ranked #1 on Gallbladder Cancer Detection on GBCU
no code implementations • 30 Jan 2021 • Mayank Gupta, Lingjun Chen, Denny Yu, Vaneet Aggarwal
Non-contact methods can have additional advantages since they are scalable with any environment where video can be captured, can be used for continuous measurements, and can be used on patients with varying levels of dexterity and independence, from people with physical impairments to infants (e. g., baby camera).
no code implementations • 21 Jan 2021 • Ravi Kashikar, Mayank Gupta, B. R. K. Nanda
The halide perovskites have truly emerged as efficient optoelectronic materials and show the promise of exhibiting nontrivial topological phases.
Materials Science
no code implementations • COLING 2020 • David Q. Sun, Hadas Kotek, Christopher Klein, Mayank Gupta, William Li, Jason D. Williams
This paper develops and implements a scalable methodology for (a) estimating the noisiness of labels produced by a typical crowdsourcing semantic annotation task, and (b) reducing the resulting error of the labeling process by as much as 20-30% in comparison to other common labeling strategies.
no code implementations • 25 Sep 2018 • Vaneet Aggarwal, Hamed Asadi, Mayank Gupta, Jae Joong Lee, Denny Yu
We note that the PPG signals can be obtained from the face videos, thus giving an efficient classification algorithm for the force exertion levels using face videos.
no code implementations • 22 Sep 2018 • 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.
no code implementations • 5 Feb 2018 • Mayank Gupta, Arjun Jauhari, Kuldeep Kulkarni, Suren Jayasuriya, Alyosha Molnar, Pavan Turaga
We test our network reconstructions on synthetic light fields, simulated coded measurements of real light fields captured from a Lytro Illum camera, and real coded images from a custom CMOS diffractive light field camera.