activity
20212024
most citedCluster Analysis with Deep Embeddings and Contrastive Learning

3 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Learn and Search: An Elegant Technique for Object Lookup using Contrastive Learning

Chandan Kumar, Jansel Herrera-Gerena, John Just +2

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 f…

cs.CV2024

Unsupervised learning based object detection using Contrastive Learning

Chandan Kumar, Jansel Herrera-Gerena, John Just +2

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 locali…

cs.CV2022★ 2 cited

Pattern Based Multivariable Regression using Deep Learning (PBMR-DP)

Jiztom Kavalakkatt Francis, Chandan Kumar, Jansel Herrera-Gerena +2

We propose a deep learning methodology for multivariate regression that is based on pattern recognition that triggers fast learning over sensor data. We used a conversion of sensor…

cs.CV2022★ 1 cited

CLAWS: Contrastive Learning with hard Attention and Weak Supervision

Jansel Herrera-Gerena, Ramakrishnan Sundareswaran, John Just +2

Learning effective visual representations without human supervision is a long-standing problem in computer vision. Recent advances in self-supervised learning algorithms have utili…

cs.LG2021★ 3 cited

Cluster Analysis with Deep Embeddings and Contrastive Learning

Ramakrishnan Sundareswaran, Jansel Herrera-Gerena, John Just +1

Unsupervised disentangled representation learning is a long-standing problem in computer vision. This work proposes a novel framework for performing image clustering from deep embe…