Probabilistic Object Detection via Deep Ensembles. - Zongyao Lyu; Nolan Gutierrez; Aditya Rajguru; William J. Beksi (ECCV Workshops (6), 2020)

An Uncertainty Estimation Framework for Probabilistic Object Detection. - Zongyao Lyu; Nolan B. Gutierrez; William J. Beksi (CASE, 2021)

Evaluating Uncertainty Calibration for Open-Set Recognition. - Zongyao Lyu; Nolan B. Gutierrez; William J. Beksi (CoRR, 2022)

MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration. - Zongyao Lyu; Nolan B. Gutierrez; William J. Beksi (WACV (Workshops), 2023)

Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling. - Zongyao Lyu; William J. Beksi (ICPR (1), 2024)