| Reducing network agnostophobia AR Dhamija, M Günther, T Boult Advances in Neural Information Processing Systems 31, 2018 | 239 | 2018 |
| 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 | 92 | 2019 |
| 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 | 76 | 2020 |
| Unconstrained face detection and open-set face recognition challenge M Günther, P Hu, C Herrmann, CH Chan, M Jiang, S Yang, AR Dhamija, ... 2017 IEEE International Joint Conference on Biometrics (IJCB), 697-706, 2017 | 47 | 2017 |
| 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 | 28 | 2021 |
| 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 | 11 | 2021 |
| 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 | 11 | 2021 |
| 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 | 6 | 2022 |
| 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 | 6 | 2020 |
| 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 preprint arXiv:2011.12906, 2020 | 6 | 2020 |
| Watchlist adaptation: protecting the innocent M Günther, AR Dhamija, TE Boult 2020 International Conference of the Biometrics Special Interest Group …, 2020 | 6 | 2020 |
| 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 | 5 | 2022 |
| Improving Deep Network Robustness to Unknown Inputs with Objectosphere. AR Dhamija, M Günther, TE Boult CVPR Workshops, 87-90, 2019 | 4 | 2019 |
| Systems and methods for machine classification and learning that is robust to unknown inputs TEE Boult, AR Dhamija, M Günther US Patent 11,295,240, 2022 | 3 | 2022 |
| Agglomerative Clustering with Threshold Optimization via Extreme Value Theory C Li, M Günther, AR Dhamija, S Cruz, M Jafarzadeh, T Ahmad, TE Boult Algorithms 15 (5), 170, 2022 | 2 | 2022 |
| Five Roads to Open-Set Recognition AR Dhamija University of Colorado Colorado Springs, 2022 | 1 | 2022 |
| What’s Hiding in My Deep Features? EM Rudd, M Günther, AR Dhamija, FA Kateb, TE Boult Deep Learning in Biometrics, 153-174, 2018 | 1 | 2018 |
| Openset Approach To Object Detection, An AR Dhamija University of Colorado Colorado Springs, 2018 | 1 | 2018 |
| Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions T Ahmad, M Jafarzadeh, AR Dhamija, R Rabinowitz, S Cruz, C Li, ... 2022 International Joint Conference on Neural Networks (IJCNN), 1-10, 2022 | | 2022 |
| I-MOVE: Independent Moving Objects for Velocity Estimation J Schwan, A Dhamija, T Boult Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | | 2020 |
Terrance E. BoultEl Pomar Prof. of Innovation and Security, University of Colorado Colorado SpringsVerified email at vast.uccs.edu
