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 | 152 | 2019 |
Toward open-set face recognition M Gunther, S Cruz, EM Rudd, TE Boult Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 96 | 2017 |
Zillow indoor dataset: Annotated floor plans with 360deg panoramas and 3d room layouts S Cruz, W Hutchcroft, Y Li, N Khosravan, I Boyadzhiev, SB Kang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 58 | 2021 |
Incremental open set intrusion recognition using extreme value machine J Henrydoss, S Cruz, EM Rudd, M Gunther, TE Boult 2017 16th IEEE International Conference on Machine Learning and Applications …, 2017 | 49 | 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 | 42 | 2021 |
Open set intrusion recognition for fine-grained attack categorization S Cruz, C Coleman, EM Rudd, TE Boult 2017 IEEE International Symposium on Technologies for Homeland Security (HST …, 2017 | 34 | 2017 |
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 | 20 | 2022 |
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 | 18 | 2021 |
Open-world learning without labels M Jafarzadeh, AR Dhamija, S Cruz, C Li, T Ahmad, TE Boult arXiv preprint arXiv:2011.12906, 2020 | 17 | 2020 |
Enhancing open-set recognition using clustering-based extreme value machine (C-EVM) J Henrydoss, S Cruz, C Li, M Günther, TE Boult 2020 IEEE International Conference on Big Data (Big Data), 441-448, 2020 | 12 | 2020 |
Improving teaching and learning through video summaries of student engagement J Ventura, S Cruz, TE Boult Workshop on Computational Models for Learning Systems and Educational …, 2016 | 8 | 2016 |
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 | 7 | 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 | 7 | 2020 |
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 | 6 | 2022 |
Novelty in image classification A Shrivastava, P Kumar, Anubhav, C Vondrick, W Scheirer, DS Prijatelj, ... A Unifying Framework for Formal Theories of Novelty: Discussions, Guidelines …, 2023 | 2 | 2023 |
Infoprint: information theoretic digital image forensics A Ghosh, Z Zhong, S Cruz, S Veeravasarapu, M Singh, TE Boult 2020 IEEE International Conference on Image Processing (ICIP), 638-642, 2020 | 2 | 2020 |
To beta or not to beta: Information bottleneck for digital image forensics A Ghosh, Z Zhong, S Cruz, S Veeravasarapu, TE Boult, M Singh arXiv preprint arXiv:1908.03864, 2019 | 2 | 2019 |
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 | 1 | 2022 |
Multi-objective optimization with homotopy-based strategies for enhanced multimodal automatic target recognition models S Abraham, S Cruz, S You, JD Hauenstein, W Scheirer Automatic Target Recognition XXXIV 13039, 1303903, 2024 | | 2024 |
Machine learning systems and methods for improved localization of image forgery A Ghosh, S Cruz, TE Boult, MK Singh, VS Veeravarasapu, Z Zhong US Patent 11,663,489, 2023 | | 2023 |