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Akshay Raj Dhamija
Akshay Raj Dhamija
Verified email at vast.uccs.edu - Homepage
Title
Cited by
Cited by
Year
Reducing network agnostophobia
AR Dhamija, M GŁnther, T Boult
Advances in Neural Information Processing Systems 31, 2018
1932018
Learning and the unknown: Surveying steps toward open world recognition
TE Boult, S Cruz, AR Dhamija, M Gunther, J Henrydoss, WJ Scheirer
Proceedings of the AAAI conference on artificial intelligence 33 (01), 9801-9807, 2019
762019
The overlooked elephant of object detection: Open set
A Dhamija, M Gunther, J Ventura, T Boult
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer†…, 2020
562020
Unconstrained face detection and open-set face recognition challenge
M GŁnther, P Hu, C Herrmann, CH Chan, M Jiang, S Yang, AR Dhamija, ...
2017 IEEE International Joint Conference on Biometrics (IJCB), 697-706, 2017
402017
Towards a unifying framework for formal theories of novelty
T Boult, P Grabowicz, D Prijatelj, R Stern, L Holder, J Alspector, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15047†…, 2021
172021
Self-supervised features improve open-world learning
AR Dhamija, T Ahmad, J Schwan, M Jafarzadeh, C Li, TE Boult
arXiv preprint arXiv:2102.07848, 2021
92021
Automatic open-world reliability assessment
M Jafarzadeh, T Ahmad, AR Dhamija, C Li, S Cruz, TE Boult
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer†…, 2021
82021
Watchlist adaptation: protecting the innocent
M GŁnther, AR Dhamija, TE Boult
2020 International Conference of the Biometrics Special Interest Group†…, 2020
62020
A unifying framework for formal theories of novelty: framework, examples and discussion
TE Boult, PA Grabowicz, DS Prijatelj, R Stern, L Holder, J Alspector, ...
arXiv preprint arXiv:2012.04226, 2020
52020
Improving Deep Network Robustness to Unknown Inputs with Objectosphere.
AR Dhamija, M GŁnther, TE Boult
CVPR Workshops, 87-90, 2019
42019
Systems and methods for machine classification and learning that is robust to unknown inputs
TEE Boult, AR Dhamija, M GŁnther
US Patent 11,295,240, 2022
32022
Open-World Learning Without Labels
M Jafarzadeh, AR Dhamija, S Cruz, C Li, T Ahmad, TE Boult
arXiv preprint arXiv:2011.12906, 2020
32020
Few-Shot Class Incremental Learning Leveraging Self-Supervised Features
T Ahmad, AR Dhamija, S Cruz, R Rabinowitz, C Li, M Jafarzadeh, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern†…, 2022
12022
Variable Few Shot Class Incremental and Open World Learning
T Ahmad, AR Dhamija, M Jafarzadeh, S Cruz, R Rabinowitz, C Li, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern†…, 2022
12022
A Review of Open-World Learning and Steps Toward Open-World Learning Without Labels
M Jafarzadeh, AR Dhamija, S Cruz, C Li, T Ahmad, TE Boult
arXiv e-prints, arXiv: 2011.12906, 2020
12020
What’s Hiding in My Deep Features?
EM Rudd, M GŁnther, AR Dhamija, FA Kateb, TE Boult
Deep Learning in Biometrics, 153-174, 2018
12018
Openset Approach To Object Detection, An
AR Dhamija
University of Colorado Colorado Springs, 2018
12018
Agglomerative Clustering with Threshold Optimization via Extreme Value Theory
C Li, M GŁnther, AR Dhamija, S Cruz, M Jafarzadeh, T Ahmad, TE Boult
Algorithms 15 (5), 170, 2022
2022
Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions
T Ahmad, M Jafarzadeh, AR Dhamija, R Rabinowitz, S Cruz, C Li, ...
arXiv preprint arXiv:2201.07894, 2022
2022
Five Roads to Open-Set Recognition
AR Dhamija
University of Colorado Colorado Springs, 2022
2022
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