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9 Publications
2023 | Published | Conference Paper | IST-REx-ID: 14771 | 
Iofinova, Eugenia B, Alexandra Krumes, and Dan-Adrian Alistarh. “Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures.” In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 24364–73. IEEE, 2023. https://doi.org/10.1109/cvpr52729.2023.02334.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14114 |
Zietlow, Dominik, Michael Lohaus, Guha Balakrishnan, Matthaus Kleindessner, Francesco Locatello, Bernhard Scholkopf, and Chris Russell. “Leveling down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers.” In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 10400–411. Institute of Electrical and Electronics Engineers, 2022. https://doi.org/10.1109/cvpr52688.2022.01016.
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2022 | Published | Conference Paper | IST-REx-ID: 12299 |
Iofinova, Eugenia B, Alexandra Krumes, Mark Kurtz, and Dan-Adrian Alistarh. “How Well Do Sparse ImageNet Models Transfer?” In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 12256–66. Institute of Electrical and Electronics Engineers, 2022. https://doi.org/10.1109/cvpr52688.2022.01195.
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 8186 |
Henderson, Paul M, Vagia Tsiminaki, and Christoph Lampert. “Leveraging 2D Data to Learn Textured 3D Mesh Generation.” In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 7498–7507. IEEE, 2020. https://doi.org/10.1109/CVPR42600.2020.00752.
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 18259 |
Alfassy, Amit, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogerio Feris, Raja Giryes, and Alex M. Bronstein. “Laso: Label-Set Operations Networks for Multi-Label Few-Shot Learning.” In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. https://doi.org/10.1109/cvpr.2019.00671.
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2020 | Published | Conference Paper | IST-REx-ID: 18258
Karlinsky, Leonid, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogerio Feris, Raja Giryes, and Alex M. Bronstein. “Repmet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection.” In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. https://doi.org/10.1109/cvpr.2019.00534.
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2020 | Published | Conference Paper | IST-REx-ID: 18260
Halimi, Oshri, Or Litany, Emanuele Rodola Rodola, Alex M. Bronstein, and Ron Kimmel. “Unsupervised Learning of Dense Shape Correspondence.” In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. https://doi.org/10.1109/cvpr.2019.00450.
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2018 | Published | Conference Paper | IST-REx-ID: 10882 |
Uijlings, Jasper, Ksenia Konyushkova, Christoph Lampert, and Vittorio Ferrari. “Learning Intelligent Dialogs for Bounding Box Annotation.” In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 9175–84. IEEE, 2018. https://doi.org/10.1109/cvpr.2018.00956.
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2018 | Published | Conference Paper | IST-REx-ID: 18270 |
Litany, Or, Alex M. Bronstein, Michael Bronstein, and Ameesh Makadia. “Deformable Shape Completion with Graph Convolutional Autoencoders.” In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE, 2018. https://doi.org/10.1109/cvpr.2018.00202.
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