no code implementations • 12 Mar 2024 • Chandan Kumar, Jansel Herrera-Gerena, John Just, Matthew Darr, Ali Jannesari
The rapid proliferation of digital content and the ever-growing need for precise object recognition and segmentation have driven the advancement of cutting-edge techniques in the field of object classification and segmentation.
no code implementations • 21 Feb 2024 • Chandan Kumar, Jansel Herrera-Gerena, John Just, Matthew Darr, Ali Jannesari
Training image-based object detectors presents formidable challenges, as it entails not only the complexities of object detection but also the added intricacies of precisely localizing objects within potentially diverse and noisy environments.
no code implementations • 28 Feb 2022 • Jiztom Kavalakkatt Francis, Chandan Kumar, Jansel Herrera-Gerena, Kundan Kumar, Matthew J Darr
We propose a deep learning methodology for multivariate regression that is based on pattern recognition that triggers fast learning over sensor data.
no code implementations • 1 Dec 2021 • Jansel Herrera-Gerena, Ramakrishnan Sundareswaran, John Just, Matthew Darr, Ali Jannesari
Learning effective visual representations without human supervision is a long-standing problem in computer vision.
no code implementations • 26 Sep 2021 • Ramakrishnan Sundareswaran, Jansel Herrera-Gerena, John Just, Ali Jannesari
Unsupervised disentangled representation learning is a long-standing problem in computer vision.