Robust and Efficient Tracker Using Dictionary of Binary Descriptors and Locality Constraints. - Breton L. Minnehan; Henry Spang; Andreas E. Savakis (ISVC (1), 2014)

Object tracking on mobile devices using binary descriptors. - Andreas E. Savakis; Mohammad Faiz Quraishi; Breton L. Minnehan (IMAWM, 2015)

Manifold Guided Label Transfer for Deep Domain Adaptation. - Breton L. Minnehan; Andreas E. Savakis (CVPR Workshops, 2017)

Learning Robust Feature Representations in Deep Networks for Image Classification. - Breton L. Minnehan; Andreas E. Savakis (MIXDES, 2018)

DEFRAG: Deep Euclidean Feature Representations through Adaptation on the Grassmann Manifold. - Breton L. Minnehan; Andreas E. Savakis (CoRR, 2018)

Cascaded Projection: End-To-End Network Compression and Acceleration. - Breton L. Minnehan; Andreas E. Savakis (CVPR, 2019)

Deep domain adaptation with manifold aligned label transfer. - Breton L. Minnehan; Andreas E. Savakis (Mach. Vis. Appl., 2019)

Grassmann Manifold Optimization for Fast L1-Norm Principal Component Analysis. - Breton L. Minnehan; Andreas E. Savakis (IEEE Signal Process. Lett., 2019)

Benchmarking Deep Trackers on Aerial Videos. - Abu Md Niamul Taufique; Breton L. Minnehan; Andreas E. Savakis (Sensors, 2020)

Combining LSTM and MDN Networks for traffic forecasting using the Argoverse Dataset. - David Schwab; Sean M. O'Rourke; Breton L. Minnehan (FUSION, 2021)

Grassmann Iterative Linear Discriminant Analysis with Proxy Matrix Optimization. - Navya Nagananda; Breton L. Minnehan; Andreas E. Savakis (CoRR, 2021)

Benchmarking Domain Adaptation Methods on Aerial Datasets. - Navya Nagananda; Abu Md Niamul Taufique; Raaga Madappa; Chowdhury Sadman Jahan; Breton L. Minnehan; Todd V. Rovito; Andreas E. Savakis (Sensors, 2021)

Robust $L_p$-Norm Linear Discriminant Analysis with Proxy Matrix Optimization. - Navya Nagananda; Breton L. Minnehan; Andreas E. Savakis (TAG-ML, 2022)