| Leveraging expert feature knowledge for predicting image aesthetics M Kucer, AC Loui, DW Messinger IEEE Transactions on Image Processing 27 (10), 5100-5112, 2018 | 50 | 2018 |
| A detect-then-retrieve model for multi-domain fashion item retrieval M Kucer, N Murray Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 25 | 2019 |
| A machine learning approach to hyperspectral detection of solid targets A Ziemann, M Kucer, J Theiler Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2018 | 17 | 2018 |
| Deeppatent: Large scale patent drawing recognition and retrieval M Kucer, D Oyen, J Castorena, J Wu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 15 | 2022 |
| Monitoring a photovoltaic system during the partial solar eclipse of August 2017 SK Kurinec, M Kucer, B Schlein EPJ Photovoltaics 9, 7, 2018 | 10 | 2018 |
| VisHash: visual similarity preserving image hashing for diagram retrieval D Oyen, M Kucer, B Wohlberg Applications of machine learning 2021 11843, 50-66, 2021 | 9 | 2021 |
| Robustness to label noise depends on the shape of the noise distribution D Oyen, M Kucer, N Hengartner, HS Singh Advances in Neural Information Processing Systems 35, 35645-35656, 2022 | 3 | 2022 |
| Robustness to label noise depends on the shape of the noise distribution in feature space D Oyen, M Kucer, N Hengartner, HS Singh arXiv preprint arXiv:2206.01106, 2022 | 3 | 2022 |
| Iterative method for salient foreground detection and multi-object segmentation A Loui, D Kloosterman, M Kucer, N Cahill, D Messinger US Patent App. 15/847,050, 2018 | 2 | 2018 |
| Aesthetic inference for smart mobile devices M Kucer, DW Messinger 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1764-1773, 2018 | 2 | 2018 |
| Dry etching for high aspect ratio silicon fins M Kucer Journal of the Microelectronic Engineering Conference 20 (1), 4, 2014 | 2 | 2014 |
| Experiments in anomalous change detection with the Viareggio 2013 trial dataset J Theiler, M Kucer, A Ziemann Algorithms, Technologies, and Applications for Multispectral and …, 2020 | 1 | 2020 |
| Augmenting salient foreground detection using fiedler vector for multi-object segmentation M Kucer, ND Cahill, AC Loui, DW Messinger Electronic Imaging 29, 116-121, 2017 | 1 | 2017 |
| How Robust Are Energy-Based Models Trained With Equilibrium Propagation? S Mansingh, M Kucer, G Kenyon, J Moore, M Teti arXiv preprint arXiv:2401.11543, 2024 | | 2024 |
| DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing Understanding K Ajayi, X Wei, M Gryder, W Shields, J Wu, SM Jones, M Kucer, D Oyen Scientific Data 10 (1), 772, 2023 | | 2023 |
| Curriculum metric learning for robust image retrieval M Kucer, D Oyen | | 2023 |
| Analysis and Understanding of Drawings using Deep Learning and Graphs DA Oyen, M Kucer Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2023 | | 2023 |
| On visual self-supervision and its effect on model robustness M Kucer, D Oyen, G Kenyon arXiv preprint arXiv:2112.04367, 2021 | | 2021 |
| Transfer learning with fewer ImageNet classes M Kucer, D Oyen NeurIPS 2021 Workshop on ImageNet: Past, Present, and Future, 2021 | | 2021 |
| Iterative method for salient foreground detection and multi-object segmentation AC Loui, D Kloosterman, M Kucer, N Cahill, D Messinger US Patent 11,120,556, 2021 | | 2021 |
David MessingerProfessor and Director, Chester F. Carlson Center for Imaging Science, Rochester Institute ofVerified email at cis.rit.edu
