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ORCIDMikhail Usvyatsov
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2020 – today
- 2022
[b1]Mikhail Usvyatsov:
Potential and limitations of tensor methods for learning on visual data. ETH Zurich, Zürich, Switzerland, 2022- [j2]Mikhail Usvyatsov, Rafael Ballester-Ripoll, Konrad Schindler:
tntorch: Tensor Network Learning with PyTorch. J. Mach. Learn. Res. 23: 208:1-208:6 (2022) - [c6]Mikhail Usvyatsov, Rafael Ballester, Lina Bashaeva, Konrad Schindler, Gonzalo Ferrer, Ivan V. Oseledets:
T4DT: Tensorizing Time for Learning Temporal 3D Visual Data. BMVC 2022: 348 - [i8]Mikhail Usvyatsov, Rafael Ballester-Ripoll, Konrad Schindler:
tntorch: Tensor Network Learning with PyTorch. CoRR abs/2206.11128 (2022) - [i7]Mikhail Usvyatsov, Rafael Ballester-Ripoll, Lina Bashaeva, Konrad Schindler, Gonzalo Ferrer, Ivan V. Oseledets:
T4DT: Tensorizing Time for Learning Temporal 3D Visual Data. CoRR abs/2208.01421 (2022) - [i6]Anton Obukhov, Mikhail Usvyatsov, Christos Sakaridis, Konrad Schindler, Luc Van Gool:
TT-NF: Tensor Train Neural Fields. CoRR abs/2209.15529 (2022) - 2021
- [c5]Shengyu Huang, Zan Gojcic, Mikhail Usvyatsov, Andreas Wieser
, Konrad Schindler:
Predator: Registration of 3D Point Clouds With Low Overlap. CVPR 2021: 4267-4276 - [c4]Mikhail Usvyatsov, Anastasia Makarova, Rafael Ballester-Ripoll, Maxim V. Rakhuba, Andreas Krause, Konrad Schindler:
Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation. ICCV 2021: 11406-11415 - [i5]Mikhail Usvyatsov, Anastasia Makarova, Rafael Ballester-Ripoll, Maxim V. Rakhuba, Andreas Krause, Konrad Schindler:
Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation. CoRR abs/2105.14250 (2021) - 2020
- [j1]Timo Hackel, Mikhail Usvyatsov, Silvano Galliani, Jan D. Wegner, Konrad Schindler:
Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs. Int. J. Comput. Vis. 128(4): 1047-1059 (2020) - [c3]Shengyu Huang, Mikhail Usvyatsov, Konrad Schindler:
Indoor Scene Recognition in 3D. IROS 2020: 8041-8048 - [i4]Shengyu Huang, Mikhail Usvyatsov, Konrad Schindler:
Indoor Scene Recognition in 3D. CoRR abs/2002.12819 (2020) - [i3]Shengyu Huang, Zan Gojcic, Mikhail Usvyatsov, Andreas Wieser, Konrad Schindler:
PREDATOR: Registration of 3D Point Clouds with Low Overlap. CoRR abs/2011.13005 (2020)
2010 – 2019
- 2019
- [c2]Mikhail Usvyatsov, Konrad Schindler:
Visual recognition in the wild by sampling deep similarity functions. ICRA 2019: 2341-2347 - [i2]Mikhail Usvyatsov, Konrad Schindler:
Visual recognition in the wild by sampling deep similarity functions. CoRR abs/1903.06837 (2019) - 2018
- [c1]Timo Hackel, Mikhail Usvyatsov, Silvano Galliani, Jan Dirk Wegner, Konrad Schindler:
Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs. GCPR 2018: 597-611 - [i1]Timo Hackel, Mikhail Usvyatsov, Silvano Galliani, Jan Dirk Wegner, Konrad Schindler:
Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in Convolutional Networks. CoRR abs/1801.10585 (2018)
Coauthor Index
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