Category: News

Congratulations to our labmate, Daniel Shmul, for accepting an internship at Amazon! Daniel will be working in the devices organization on a team which develops wearables in the health and wellness field. Great job, Daniel!  

Congratulations to our labmate, Xiaolei Guo, for accepting an internship at Meta/Facebook! Xiaolei will be working on the data science team to develop Instagram creator ranking using computer vision, computer graphics and machine learning applications. Great job, Xiaolei!  

Congratulations to our labmate, Yiming Cui, for accepting an internship at TikTok in ByteDance Research Lab! Yiming will be working on the data science team to develop computer vision, computer graphics and machine learning applications for ByteDance products (such as TikTok). Great job, Yiming!

Congratulations to our labmates and collaborators: Joshua K. Peeples, Julie F. Jameson, Nisha M. Kotta, Jonathan M. Grasman, Whitney L. Stoppel and Alina Zare! Their paper, “Jointly Optimized Spatial Histogram UNET Architecture (JOSHUA) for Adipose Tissue Segmentation”, was recently accepted to BME Frontiers Special Issue: AI for Advanced Biomedical Applications, 2022. In the paper, the […]

MATLAB implementation of Multi-target Extended Functions of Multiple Instances has been made public! It is available in our GitHub repository MT_eFUMI  MT_eFUMI is capable of learning multiple target spectral signatures from weakly- and inaccurately-labeled hyperspectral imagery. It is a generalization of the Function of Multiple Instances approach (FUMI). Additional details can be found in the […]

Congratulations to our labmates and collaborators: Joshua Peeples, Sarah Walker, Connor McCurley, Alina Zare, James Keller and Weihuang Xu! Their paper, “Divergence Regulated Encoder Network for Joint Dimensionality Reduction and Classification”, was recently accepted to IEEE Geoscience and Remote Sensing Letters, 2022. In the paper, the authors investigate performing joint dimensionality reduction and classification using […]

The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Kendall Willis! Kendall is a third year Computer Engineering major. She will be working on the AI Harvest project assisting Professor Alina Zare. In her free time, she likes to read, run, and play music. You can also connect with Kendall on […]

Congratulations to UF’s graduating class of Spring 2021! The MLSL would like to recognize our very own undergraduate researcher, Hayden Menge!  It was a great pleasure having you in the Gatorsense lab. Some of Hayden’s milestones achievements in our lab was training UNet segmentation model on new plant root data. In addition to feature extraction […]

Abstract: Openly available community science digital vouchers provide a wealth of data to study phenotypic change across space and time. However, extracting phenotypic data from these resources requires significant human effort. Here, we demonstrate a workflow and computer vision model for automatically categorizing species color pattern from community science images. Our work is focused on […]

The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Melissa Uriguen! Melissa is a fourth year environmental engineering student and will be assisting Professor Alina Zare on the AI-Harvest project. You can also connect with Melissa on LinkedIn. Welcome to our lab, Melissa!