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87 Publications

2020 | Conference Paper | IST-REx-ID: 7481 | OA
Bui Thi Mai, P., & Lampert, C. (n.d.). Functional vs. parametric equivalence of ReLU networks.
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2020 | Conference Paper | IST-REx-ID: 7936 | OA
Royer, A., & Lampert, C. (2020). Localizing grouped instances for efficient detection in low-resource scenarios. In IEEE Winter Conference on Applications of Computer Vision (pp. 1716–1725). Snowmass Village, CO, United States: IEEE. https://doi.org/10.1109/WACV45572.2020.9093288
View | DOI | Download Preprint (ext.) | arXiv
 
2020 | Conference Paper | IST-REx-ID: 7937
Royer, A., & Lampert, C. (2020). A flexible selection scheme for minimum-effort transfer learning. In 2020 IEEE Winter Conference on Applications of Computer Vision (pp. 2180–2189). Snowmass Village, CO, United States: IEEE. https://doi.org/10.1109/WACV45572.2020.9093635
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2020 | Preprint | IST-REx-ID: 8063 | OA
Anciukevicius, T., Lampert, C., & Henderson, P. M. (n.d.). Object-centric image generation with factored depths, locations, and appearances. ArXiv. ArXiv.
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2020 | Book Chapter | IST-REx-ID: 8092 | OA
Royer, A., Bousmalis, K., Gouws, S., Bertsch, F., Mosseri, I., Cole, F., & Murphy, K. (2020). XGAN: Unsupervised image-to-image translation for many-to-many mappings. In R. Singh, M. Vatsa, V. M. Patel, & N. Ratha (Eds.), Domain Adaptation for Visual Understanding (pp. 33–49). Springer Nature. https://doi.org/10.1007/978-3-030-30671-7_3
View | DOI | Download Preprint (ext.) | arXiv
 
2020 | Conference Paper | IST-REx-ID: 8186 | OA
Henderson, P. M., Tsiminaki, V., & Lampert, C. (2020). Leveraging 2D data to learn textured 3D mesh generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 7498–7507). Virtual: CVF.
View | Files available | Download Submitted Version (ext.) | arXiv
 
2020 | Preprint | IST-REx-ID: 8188 | OA
Henderson, P. M., & Lampert, C. (n.d.). Unsupervised object-centric video generation and decomposition in 3D. ArXiv:2007.06705.
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2019 | Conference Paper | IST-REx-ID: 6482 | OA
Sun, R., & Lampert, C. (2019). KS(conf): A light-weight test if a ConvNet operates outside of Its specifications (Vol. 11269, pp. 244–259). Presented at the GCPR: Conference on Pattern Recognition, Stuttgart, Germany: Springer Nature. https://doi.org/10.1007/978-3-030-12939-2_18
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2019 | Journal Article | IST-REx-ID: 6554 | OA
Xian, Y., Lampert, C., Schiele, B., & Akata, Z. (2019). Zero-shot learning - A comprehensive evaluation of the good, the bad and the ugly. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(9), 2251–2265. https://doi.org/10.1109/tpami.2018.2857768
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2019 | Conference Paper | IST-REx-ID: 6569 | OA
Bui Thi Mai, P., & Lampert, C. (2019). Towards understanding knowledge distillation. In Proceedings of the 36th International Conference on Machine Learning (Vol. 97, pp. 5142–5151). Long Beach, CA, United States: PMLR.
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2019 | Conference Paper | IST-REx-ID: 6590 | OA
Konstantinov, N. H., & Lampert, C. (2019). Robust learning from untrusted sources. In Proceedings of the 36th International Conference on Machine Learning (Vol. 97, pp. 3488–3498). Long Beach, CA, USA: PMLR.
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2019 | Conference Paper | IST-REx-ID: 6942 | OA
Ashok, P., Brázdil, T., Chatterjee, K., Křetínský, J., Lampert, C., & Toman, V. (2019). Strategy representation by decision trees with linear classifiers. In 16th International Conference on Quantitative Evaluation of Systems (Vol. 11785, pp. 109–128). Glasgow, United Kingdom: Springer Nature. https://doi.org/10.1007/978-3-030-30281-8_7
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2019 | Journal Article | IST-REx-ID: 6944 | OA
Sun, R., & Lampert, C. (2019). KS(conf): A light-weight test if a multiclass classifier operates outside of its specifications. International Journal of Computer Vision. https://doi.org/10.1007/s11263-019-01232-x
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2019 | Journal Article | IST-REx-ID: 6952 | OA
Henderson, P. M., & Ferrari, V. (2019). Learning single-image 3D reconstruction by generative modelling of shape, pose and shading. International Journal of Computer Vision. https://doi.org/10.1007/s11263-019-01219-8
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2019 | Conference Paper | IST-REx-ID: 7479 | OA
Bui Thi Mai, P., & Lampert, C. (2019). Distillation-based training for multi-exit architectures. In IEEE International Conference on Computer Vision (Vol. 2019–October, pp. 1355–1364). Seoul, Korea: IEEE. https://doi.org/10.1109/ICCV.2019.00144
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2019 | Conference Paper | IST-REx-ID: 7640 | OA
Kolesnikov, A., Kuznetsova, A., Lampert, C., & Ferrari, V. (2019). Detecting visual relationships using box attention. In Proceedings of the 2019 International Conference on Computer Vision Workshop (pp. 1749–1753). Seoul, South Korea: IEEE. https://doi.org/10.1109/ICCVW.2019.00217
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2019 | Book (Editor) | IST-REx-ID: 7171
Kersting, K., Lampert, C., & Rothkopf, C. (Eds.). (2019). Wie Maschinen lernen. Springer Nature. https://doi.org/10.1007/978-3-658-26763-6
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2018 | Thesis | IST-REx-ID: 197 | OA
Kolesnikov, A. (2018). Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images. IST Austria. https://doi.org/10.15479/AT:ISTA:th_1021
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2018 | Conference Paper | IST-REx-ID: 6011 | OA
Kuzborskij, I., & Lampert, C. (2018). Data-dependent stability of stochastic gradient descent. In Proceedings of the 35 th International Conference on Machine Learning (Vol. 80, pp. 2815–2824). Stockholm, Sweden: International Machine Learning Society.
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2018 | Conference Paper | IST-REx-ID: 6589 | OA
Alistarh, D.-A., Hoefler, T., Johansson, M., Konstantinov, N. H., Khirirat, S., & Renggli, C. (2018). The convergence of sparsified gradient methods. In Advances in Neural Information Processing Systems 31 (Vol. Volume 2018, pp. 5973–5983). Montreal, Canada: Neural information processing systems.
View | Download Preprint (ext.) | arXiv
 

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