Skip to main content

Bag-level classification network for infrared target detection accepted to SPIE, 2022!

June 29, 2022

Congratulations to our labmates and collaborators: Connor H. McCurley, Daniel Rodriguez, Chandler Trousdale, Arielle Stevens, Anthony Baldino, Eugene Li, Isabella Perlmutter, and Alina Zare. Their paper, “Bag-level classification network for infrared target detection”, was recently accepted to Proc. SPIE 12096, Automatic Target Recognition XXXII, 1209603 (31 May 2022). In the paper, the authors investigate the use […]

Read more: Bag-level classification network for infrared target detection accepted to SPIE, 2022! »

Addressing the Inevitable Imprecision: Multiple Instance Learning for Hyperspectral Image Analysis

June 24, 2022

Abstract: In many remote sensing and hyperspectral image analysis applications, precise ground truth information is unavailable or impossible to obtain. Imprecision in ground truth often results from highly mixed or sub-pixel spectral responses over classes of interest, a mismatch between the precision of global positioning system (GPS) units and the spatial resolution of collected imagery, and misalignment […]

Read more: Addressing the Inevitable Imprecision: Multiple Instance Learning for Hyperspectral Image Analysis »

Welcome New Undergraduate Research Assistant Kaniel Vicencio!

June 22, 2022

The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Kaniel Vicencio! Kaniel is a second-year pursuing his undergrad degree in computer science. In his free time, he likes to go climbing. He’s interested in machine learning and will be helping with the IoT4Ag project. You can also connect with Kaniel on […]

Read more: Welcome New Undergraduate Research Assistant Kaniel Vicencio! »

Bag-level Classification Network for Infrared Target Detection

June 21, 2022

Abstract: Aided target detection in infrared data has proven an important area of investigation for both military and civilian applications. While target detection at the object or pixel-level has been explored extensively, existing approaches require precisely-annotated data which is often expensive or difficult to obtain. Leveraging advancements in weakly supervised semantic segmentation, this paper explores […]

Read more: Bag-level Classification Network for Infrared Target Detection »

Welcome New Undergraduate Research Assistant Mark Adewumi!

May 17, 2022

The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Mark Adewumi! Mark is a Sophomore Electrical Engineering at the University of Florida. He will be working on the FreshID project. You can also connect with Mark on LinkedIn. Welcome to our lab, Mark!

Read more: Welcome New Undergraduate Research Assistant Mark Adewumi! »

Welcome New Undergraduate Research Assistant Tomas Mejia!

May 17, 2022

The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Tomas Mejia! Tomas is pursuing a BS in Computer Engineering. He is a rising junior interested in research with sensors, and would like to apply it towards the field of space exploration. Outside of school, He is obsessed with everything related […]

Read more: Welcome New Undergraduate Research Assistant Tomas Mejia! »

Welcome New Undergraduate Research Assistant Cody Hutcheson!

May 17, 2022

The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Cody Hutcheson! Cody is a fourth year Electrical Engineering major at the University of Florida and will be working on the IoT4Ag project. You can also connect with Cody on LinkedIn. Welcome to our lab, Cody!

Read more: Welcome New Undergraduate Research Assistant Cody Hutcheson! »

Welcome New Undergraduate Research Assistant Bozhou Chen!

May 17, 2022

The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Bozhou Chen! Bozhou is a rising senior majoring in Computer Engineering with a minor in Mathematics. Bozhou is pursuing a Ph.D. degree in Computer Engineering at the University of Florida. He is interested in Embedded Systems and Computer Vision. He will […]

Read more: Welcome New Undergraduate Research Assistant Bozhou Chen! »

Welcome New Undergraduate Research Assistant Emmanuel Garit!

May 17, 2022

The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Emmanuel Garit! Emmanuel likes machine learning, but also want to delve into topics in game development and GPU programming. Aside from school, he likes to make small projects using Unity/Unreal Engine. His hobbies include playing basketball, playing video games, and working […]

Read more: Welcome New Undergraduate Research Assistant Emmanuel Garit! »

Welcome New Undergraduate Research Assistant Sahil Agarwal!

May 17, 2022

The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Sahil Agarwal! Sahil is a Senior studying Electrical Engineering. He is interested in pursuing further education in the field of Machine Learning, and hope to follow a career in embedded AI devices. You can also connect with Sahil on LinkedIn. Welcome to […]

Read more: Welcome New Undergraduate Research Assistant Sahil Agarwal! »