Dhamija, Akshay Raj

7 publications

CVPRW 2022 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

CVPRW 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

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

AAAI 2021 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, Carl Vondrick, Walter J. Scheirer

CVPRW 2019 Improving Deep Network Robustness to Unknown Inputs with Objectosphere Akshay Raj Dhamija, Manuel Günther, Terrance E. Boult

AAAI 2019 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

NeurIPS 2018 Reducing Network Agnostophobia Akshay Raj Dhamija, Manuel Günther, Terrance Boult