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9 Publications
2023 | Published | Conference Paper | IST-REx-ID: 14771 | 
E. B. Iofinova, A. Krumes, and D.-A. Alistarh, “Bias in pruned vision models: In-depth analysis and countermeasures,” in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vancouver, BC, Canada, 2023, pp. 24364–24373.
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2022 | Published | Conference Paper | IST-REx-ID: 14114 |
D. Zietlow et al., “Leveling down in computer vision: Pareto inefficiencies in fair deep classifiers,” in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, New Orleans, LA, United States, 2022, pp. 10400–10411.
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2022 | Published | Conference Paper | IST-REx-ID: 12299 |
E. B. Iofinova, A. Krumes, M. Kurtz, and D.-A. Alistarh, “How well do sparse ImageNet models transfer?,” in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, New Orleans, LA, United States, 2022, pp. 12256–12266.
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2020 | Published | Conference Paper | IST-REx-ID: 18259 |
A. Alfassy et al., “Laso: Label-set operations networks for multi-label few-shot learning,” in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, United States, 2020.
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2020 | Published | Conference Paper | IST-REx-ID: 18258
L. Karlinsky et al., “Repmet: Representative-based metric learning for classification and few-shot object detection,” in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, United States, 2020.
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2020 | Published | Conference Paper | IST-REx-ID: 18260
O. Halimi, O. Litany, E. R. Rodola, A. M. Bronstein, and R. Kimmel, “Unsupervised learning of dense shape correspondence,” in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, United States, 2020.
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2020 | Published | Conference Paper | IST-REx-ID: 8186 |
P. M. Henderson, V. Tsiminaki, and C. Lampert, “Leveraging 2D data to learn textured 3D mesh generation,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Virtual, 2020, pp. 7498–7507.
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2018 | Published | Conference Paper | IST-REx-ID: 18270 |
O. Litany, A. M. Bronstein, M. Bronstein, and A. Makadia, “Deformable shape completion with graph convolutional autoencoders,” in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, United States, 2018.
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2018 | Published | Conference Paper | IST-REx-ID: 10882 |
J. Uijlings, K. Konyushkova, C. Lampert, and V. Ferrari, “Learning intelligent dialogs for bounding box annotation,” in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, United States, 2018, pp. 9175–9184.
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