Michal Kucer

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 10

Top Topics

Foreground Detection

Patent Retrieval

Parameter Space

Top Venues

IEEE Trans. Image Process.

Computational Imaging

Publications

Siddharth Mansingh, Michal Kucer, Garrett T. Kenyon, Juston Moore, Michael A. Teti
How Robust Are Energy-Based Models Trained With Equilibrium Propagation? CoRR (2024)
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 (2023)
Michal Kucer, Diane Oyen, Juan Castorena, Jian Wu
DeepPatent: Large scale patent drawing recognition and retrieval. WACV (2022)
Diane Oyen, Michal Kucer, Nicolas W. Hengartner, Har Simrat Singh
Robustness to Label Noise Depends on the Shape of the Noise Distribution. NeurIPS (2022)
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 (2022)
Michal Kucer, Diane Oyen, Garrett T. Kenyon
On visual self-supervision and its effect on model robustness. CoRR (2021)
Michal Kucer, Naila Murray
A Detect-Then-Retrieve Model for Multi-Domain Fashion Item Retrieval. CVPR Workshops (2019)
Michal Kucer, Alexander C. Loui, David W. Messinger
Leveraging Expert Feature Knowledge for Predicting Image Aesthetics. IEEE Trans. Image Process. 27 (10) (2018)
Michal Kucer, David W. Messinger
Aesthetic Inference for Smart Mobile Devices. WACV (2018)
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)