John Just

According to our database, John Just authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Productive Crop Fields Dataset.

Eduardo Nascimento, John Just, Jurandy Almeida, Tiago A. Almeida

Dataset, June, 2024

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

Chandan Kumar, Jansel Herrera-Gerena, John Just, Matthew J. Darr, Ali Jannesari

CoRR, 2024

Unsupervised learning based object detection using Contrastive Learning.

Chandan Kumar, Jansel Herrera-Gerena, John Just, Matthew J. Darr, Ali Jannesari

CoRR, 2024

2023

Productive Crop Field Detection: A New Dataset and Deep-Learning Benchmark Results.

Eduardo Nascimento, John Just, Jurandy Almeida, Tiago A. Almeida

IEEE Geosci. Remote. Sens. Lett., 2023

2021

CLAWS: Contrastive Learning with hard Attention and Weak Supervision.

Jansel Herrera-Gerena, Ramakrishnan Sundareswaran, John Just, Matthew J. Darr, Ali Jannesari

CoRR, 2021

Cluster Analysis with Deep Embeddings and Contrastive Learning.

Ramakrishnan Sundareswaran, Jansel Herrera-Gerena, John Just, Ali Janessari

CoRR, 2021

2020

Granular Learning with Deep Generative Models using Highly Contaminated Data.

John Just

CoRR, 2020

Generalizable semi-supervised learning method to estimate mass from sparsely annotated images.

Muhammad K. A. Hamdan, Diane T. Rover, Matthew J. Darr, John Just

Comput. Electron. Agric., 2020

2019

Deep Generative Models Strike Back! Improving Understanding and Evaluation in Light of Unmet Expectations for OoD Data.

John Just, Sambuddha Ghosal

CoRR, 2019

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth.

Muhammad K. A. Hamdan, Diane T. Rover, John Just

CoRR, 2019

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth.

Muhammad K. A. Hamdan, Diane T. Rover, Matthew J. Darr, John Just

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019