The Machine Learning and Sensing Lab is excited to welcome Austin Kreulach as a new Ph.D. student! Austin recently completed BS degrees in both Computer Science & Mathematics at the University of Arkansas in Fayetteville, AR. In our lab, Austin… Read More
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WELCOME NEW PHD STUDENT CARRIE KUZIO!
The Machine Learning and Sensing Lab is excited to welcome Carrie Kuzio as a new Ph.D. student! Carrie recently completed BS degrees in both Electrical & Computer Engineering at Old Dominion University in Norfolk, VA. In our lab, Carrie will… Read More
WELCOME NEW UNDERGRADUATE RESEARCH ASSISTANT DANIEL RODRIGUEZ!
The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Daniel Rodriguez! Daniel is triple majoring in Economics, Mathematics and Statistics at the University of Florida and will be working on our Army Research Office project.… Read More
WELCOME NEW UNDERGRADUATE RESEARCH ASSISTANT CHANDLER TROUSDALE!
The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Chandler Trousdale! Chandler is a fourth year Computer Engineering major at the University of Florida and will be working on our Army Research Office project. Welcome… Read More
CONGRATULATIONS TO DYLAN STEWART FOR BECOMING A PHD CANDIDATE!
Congratulations to our labmate, Dylan Stewart, for passing his Oral Qualifying Exam and becoming a PhD candidate! For the remainder of his PhD work, Dylan plans to investigate fundamental research questions on “Alignment and Scene Understanding for Multi-look Remote Sensing… Read More
WELCOME NEW UNDERGRADUATE RESEARCH ASSISTANT ANTHONY BALDINO!
The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Anthony Baldino! Anthony is an Electrical & Computer Engineering major at the University of Florida and will be working on our Army Research Office project. Welcome… Read More
BACK TO SCHOOL!
Classes began this week in Gainesville, and while this semester looks a bit different, the Machine Learning and Sensing Lab could not be more excited! We are anticipating a great school year with plenty of new collaboration, new discoveries, new… Read More
MIL-CAM ACCEPTED TO ECCV 2020 WORKSHOP ON COMPUTER VISION PROBLEMS IN PLANT PHENOTYPING!
Congratulations to our labmates and collaborators: Guohao Yu, Alina Zare, Weihuang Xu, Roser Matamala, Joel Reyes-Cabrera, Felix B. Fritschi and Thomas E. Juenger! Their paper, “Weakly Supervised Minirhizotron Image Segmentation with MIL-CAM” was recently accepted to the 16th European Conference… Read More
WEAKLY SUPERVISED MINIRHIZOTRON IMAGE SEGMENTATION WITH MIL-CAM
Abstract: We present a multiple instance learning class activation map (MIL-CAM) approach for pixel-level minirhizotron image segmentation given weak image-level labels. Minirhizotrons are used to image plant roots in situ. Minirhizotron imagery is often composed of soil containing a few… Read More
UFII LECTURE SERIES: AI ADVANCES AND APPLICATIONS
In response to the recent AI initiative launched by the University of Florida, the UF Informatics Institute (UFII) is hosting a virtual seminar series, “AI Advances and Applications”. The online series will feature innovative work being conducted in AI and… Read More