Tag: defense

It is a great pleasure and honor for everyone in Gatorsense that one of our labmates has achieved his goal. Congratulations to Dr. Spencer Chang for graduating with his Ph.D.! His dissertation title is: Enhancing Semantic Segmentation with Locally Learned Histogram Features. He’s now bringing his expertise in computer vision and machine learning to the […]

Congratulations to Dr. Matthew Cook for successfully passing his PhD dissertation exam! Dr. Cook’s research centers on developing algorithms that use null space projections within neural networks to add additional functionality. The primary application of this method is detecting out-of-distribution data, such as encountering unexpected objects during Automatic Target Recognition data collections. Moreover, results showed […]

Congratulations to Dr. Aditya Dutt for successfully passing his PhD dissertation exam! Dr. Dutt’s research introduced the Contrastive MultiModal Alignment Network (COMMANet), a novel approach to shared manifold-based domain translation and fusion. His work addressed the challenge of limited and imbalanced labeled datasets by leveraging contrastive learning with triplet networks to align multimodal data—such as […]

Congratulations to Dr. Spencer Chang for successfully passing his PhD dissertation exam! Dr. Chang’s research demonstrated the potential of combining learnable histogram features with deep learning convolutional methods. Additionally, he delivered key insights into enhancing statistical texture feature learning and explored the nuances of embedding histogram layers to maximize their impact within feature extraction pipelines. […]

It is a great pleasure and honor for everyone in Gatorsense that one of our labmates has achieved his goal. Congratulations to Dr. Justin Pitts for graduating with his Ph.D.! During his time with the lab, Justin utilized machine learning to better understand the physiological responses of both coffee and peanut crops to environmental stressors. His […]

It is a great pleasure and honor for everyone in Gatorsense that one of our labmates has achieved his goal. Congratulations to Dr. Justin Pitts for graduating with his Ph.D.! During his time with the lab, Justin utilized machine learning to better understand the physiological responses of both coffee and peanut crops to environmental stressors. His […]

It is a great pleasure and honor for everyone in Gatorsense that one of our labmates has achieved his goal. Congratulations to Dr. Connor McCurley for graduating with his Ph.D.! Connor’s dissertation is titled “Discriminative Feature Learning with Imprecise, Uncertain, and Ambiguous Data.” Connor developed approaches for discriminative representation learning using weakly-labeled ground-truth. He explored methods […]

It is a great pleasure and honor for everyone in Gatorsense that one of our labmates has achieved his goal. Congratulations to Dr. Guohao Yu for graduating with his Ph.D.! Guohao’s dissertation is titled “Weakly Supervised Image Segmentation with Multiple Instance Learning Neural Network.” Guohao does research on weakly supervised image segmentation. His research focuses on […]

  Congratulations to Dr. Sheng Zou for graduating with his Ph.D.! Sheng’s dissertation is titled “Classification with Multi-Imprecise Labels.” His research focused on developing classification approaches under the multiple instance learning framework. The goal of Sheng’s work was to model class variability using discriminative probabilistic distributions and multiple types of imprecise labels. Read about more […]