Toward Open-Set Face Recognition. - Manuel Günther; Steve Cruz; Ethan M. Rudd; Terrance E. Boult (CVPR Workshops, 2017)

Incremental Open Set Intrusion Recognition Using Extreme Value Machine. - James Henrydoss; Steve Cruz; Ethan M. Rudd; Manuel Günther; Terrance E. Boult (ICMLA, 2017)

Open Set Intrusion Recognition for Fine-Grained Attack Categorization. - Steve Cruz; Cora Coleman; Ethan M. Rudd; Terrance E. Boult (CoRR, 2017)

Learning and the Unknown: Surveying Steps toward Open World Recognition. - Terrance E. Boult; Steve Cruz; Akshay Raj Dhamija; Manuel Günther; James Henrydoss; Walter J. Scheirer (AAAI, 2019)

To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics. - Aurobrata Ghosh; Zheng Zhong; Steve Cruz; Subbu Veeravasarapu; Terrance E. Boult; Maneesh Singh 001 (CoRR, 2019)

Enhancing Open-Set Recognition using Clustering-based Extreme Value Machine (C-EVM). - James Henrydoss; Steve Cruz; Chunchun Li; Manuel Günther; Terrance E. Boult (IEEE BigData, 2020)

Infoprint: Information Theoretic Digital Image Forensics. - Aurobrata Ghosh; Zheng Zhong; Steve Cruz; Subbu Veeravasarapu; Maneesh Kumar Singh 001; Terrance E. Boult (ICIP, 2020)

Open-World Learning Without Labels. - Mohsen Jafarzadeh; Akshay Raj Dhamija; Steve Cruz; Chunchun Li; Touqeer Ahmad; Terrance E. Boult (CoRR, 2020)

A Unifying Framework for Formal Theories of Novelty: Framework, Examples and Discussion. - Terrance E. Boult; Przemyslaw A. Grabowicz; Derek S. Prijatelj; Roni Stern; Larry B. Holder; Joshua Alspector; Mohsen Jafarzadeh; Touqeer Ahmad; Akshay Raj Dhamija; Chunchun Li; Steve Cruz; Abhinav Shrivastava; et al. (CoRR, 2020)

Towards a Unifying Framework for Formal Theories of Novelty. - Terrance E. Boult; Przemyslaw A. Grabowicz; Derek S. Prijatelj; Roni Stern; Lawrence Holder; Joshua Alspector; Mohsen Jafarzadeh; Touqeer Ahmad; Akshay Raj Dhamija; Chunchun Li; Steve Cruz; Abhinav Shrivastava; et al. (AAAI, 2021)

Zillow Indoor Dataset: Annotated Floor Plans With 360deg Panoramas and 3D Room Layouts. - Steve Cruz; Will Hutchcroft; Yuguang Li; Naji Khosravan; Ivaylo Boyadzhiev; Sing Bing Kang (CVPR, 2021)

Automatic Open-World Reliability Assessment. - Mohsen Jafarzadeh; Touqeer Ahmad; Akshay Raj Dhamija; Chunchun Li; Steve Cruz; Terrance E. Boult (WACV, 2021)

Few-Shot Class Incremental Learning Leveraging Self-Supervised Features. - Touqeer Ahmad; Akshay Raj Dhamija; Steve Cruz; Ryan Rabinowitz; Chunchun Li; Mohsen Jafarzadeh; Terrance E. Boult (CVPR Workshops, 2022)

Variable Few Shot Class Incremental and Open World Learning. - Touqeer Ahmad; Akshay Raj Dhamija; Mohsen Jafarzadeh; Steve Cruz; Ryan Rabinowitz; Chunchun Li; Terrance E. Boult (CVPR Workshops, 2022)

Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions. - Touqeer Ahmad; Mohsen Jafarzadeh; Akshay Raj Dhamija; Ryan Rabinowitz; Steve Cruz; Chunchun Li; Terrance E. Boult (IJCNN, 2022)

Agglomerative Clustering with Threshold Optimization via Extreme Value Theory. - Chunchun Li; Manuel Günther; Akshay Raj Dhamija; Steve Cruz; Mohsen Jafarzadeh; Touqeer Ahmad; Terrance E. Boult (Algorithms, 2022)

Operational Open-Set Recognition and PostMax Refinement. - Steve Cruz; Ryan Rabinowitz; Manuel Günther; Terrance E. Boult (ECCV (6), 2024)

GHOST: Gaussian Hypothesis Open-Set Technique. - Ryan Rabinowitz; Steve Cruz; Manuel Günther; Terrance E. Boult (AAAI, 2025)

Open issues in open world learning. - Steve Cruz; Katarina Doctor; Christopher Funk; Walter J. Scheirer (AI Mag., 2025)