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Journal Articles
- 2018
[j1]Michal Kucer
, Alexander C. Loui, David W. Messinger:
Leveraging Expert Feature Knowledge for Predicting Image Aesthetics. IEEE Trans. Image Process. 27(10): 5100-5112 (2018)
Conference and Workshop Papers
- 2022
- [c5]Diane Oyen, Michal Kucer, Nicolas W. Hengartner, Har Simrat Singh:
Robustness to Label Noise Depends on the Shape of the Noise Distribution. NeurIPS 2022 - [c4]Michal Kucer, Diane Oyen, Juan Castorena, Jian Wu:
DeepPatent: Large scale patent drawing recognition and retrieval. WACV 2022: 557-566 - 2019
- [c3]Michal Kucer, Naila Murray:
A Detect-Then-Retrieve Model for Multi-Domain Fashion Item Retrieval. CVPR Workshops 2019: 344-353 - 2018
- [c2]Michal Kucer, David W. Messinger:
Aesthetic Inference for Smart Mobile Devices. WACV 2018: 1764-1773 - 2017
- [c1]Michal Kucer, Nathan D. Cahill, Alexander C. Loui, David W. Messinger:
Augmenting Salient Foreground Detection using Fiedler Vector for Multi-Object Segmentation. Computational Imaging 2017: 116-121
Informal and Other Publications
- 2024
- [i4]Siddharth Mansingh, Michal Kucer, Garrett T. Kenyon, Juston Moore, Michael A. Teti:
How Robust Are Energy-Based Models Trained With Equilibrium Propagation? CoRR abs/2401.11543 (2024) - 2023
- [i3]Kehinde Ajayi, Xin Wei, Martin Gryder, Winston Shields, Jian Wu, Shawn M. Jones, Michal Kucer, Diane Oyen:
DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing Understanding. CoRR abs/2311.04098 (2023) - 2022
- [i2]Diane Oyen, Michal Kucer, Nick Hengartner, Har Simrat Singh:
Robustness to Label Noise Depends on the Shape of the Noise Distribution in Feature Space. CoRR abs/2206.01106 (2022) - 2021
- [i1]Michal Kucer, Diane Oyen, Garrett T. Kenyon:
On visual self-supervision and its effect on model robustness. CoRR abs/2112.04367 (2021)
Coauthor Index
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