Publications

Anton Obukhov, Mikhail Usvyatsov, Christos Sakaridis, Konrad Schindler, Luc Van Gool (2022). TT-NF: Tensor Train Neural Fields. arXiv preprint arXiv:2209.15529.

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Mikhail Usvyatsov, Rafael Ballester-Ripoll, Konrad Schindler (2022). tntorch: Tensor network learning with PyTorch. Journal of Machine Learning Research.

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Mikhail Usvyatsov, Rafael Ballester-Rippoll, Lina Bashaeva, Konrad Schindler, Gonzalo Ferrer, Ivan Oseledets (2022). T4DT: Tensorizing Time for Learning Temporal 3D Visual Data. arXiv preprint arXiv:2208.01421.

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Mikhail Usvyatsov, Anastasia Makarova, Rafael Ballester-Ripoll, Maxim Rakhuba, Andreas Krause, Konrad Schindler (2021). Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation. ICCV2021.

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Shengyu Huang, Zan Gojcic, Mikhail Usvyatsov, Andreas Wieser, Konrad Schindler (2021). PREDATOR: Registration of 3D Point Clouds with Low Overlap. CVPR2021.

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Shengyu Huang, Mikhail Usvyatsov, Konrad Schindler (2020). Indoor Scene Recognition in 3D. 2020 International Conference on Intelligent Robots and Systems (IROS).

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Mikhail Usvyatsov, Konrad Schindler (2019). Visual recognition in the wild by sampling deep similarity functions. 2019 International Conference on Robotics and Automation (ICRA).

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Timo Hackel, Mikhail Usvyatsov, Silvano Galliani, Jan D Wegner, Konrad Schindler (2018). Inference, learning and attention mechanisms that exploit and preserve sparsity in convolutional networks. International Journal of Computer Vision.

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Maxim Borisyak, Mikhail Usvyatsov, Michael Mulhearn, Chase Shimmin, Andrey Ustyuzhanin (2017). Muon trigger for mobile phones. Journal of Physics: Conference Series.

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