Unconstrained Face Detection and Open-Set Face Recognition Challenge. - Manuel Günther; Peiyun Hu; Christian Herrmann 001; Chi-Ho Chan; Min Jiang 003; Shufan Yang; Akshay Raj Dhamija; Deva Ramanan; Jürgen Beyerer; Josef Kittler; Mohamad Al Jazaery; Mohammad Iqbal Nouyed; et al. (IJCB, 2017)

Unconstrained Face Detection and Open-Set Face Recognition Challenge. - Manuel Günther; Peiyun Hu; Christian Herrmann 001; Chi-Ho Chan; Min Jiang 003; Shufan Yang; Akshay Raj Dhamija; Deva Ramanan; Jürgen Beyerer; Josef Kittler; Mohamad Al Jazaery; Mohammad Iqbal Nouyed; et al. (CoRR, 2017)

Reducing Network Agnostophobia. - Akshay Raj Dhamija; Manuel Günther; Terrance E. Boult (NeurIPS, 2018)

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)

Improving Deep Network Robustness to Unknown Inputs with Objectosphere. - Akshay Raj Dhamija; Manuel Günther; Terrance E. Boult (CVPR Workshops, 2019)

Watchlist Adaptation: Protecting the Innocent. - Manuel Günther; Akshay Raj Dhamija; Terrance E. Boult (BIOSIG, 2020)

The Overlooked Elephant of Object Detection: Open Set. - Akshay Raj Dhamija; Manuel Günther; Jonathan Ventura; Terrance E. Boult (WACV, 2020)

I-MOVE: Independent Moving Objects for Velocity Estimation. - Jonathan Schwan; Akshay Raj Dhamija; Terrance E. Boult (WACV, 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)

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

Self-Supervised Features Improve Open-World Learning. - Akshay Raj Dhamija; Touqeer Ahmad; Jonathan Schwan; Mohsen Jafarzadeh; Chunchun Li; Terrance E. Boult (CoRR, 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)