Mikhail Usvyatsov

According to our database, Mikhail Usvyatsov authored at least 10 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Potential and limitations of tensor methods for learning on visual data.

Mikhail Usvyatsov

PhD thesis, 2022

tntorch: Tensor Network Learning with PyTorch.

Mikhail Usvyatsov, Rafael Ballester-Ripoll, Konrad Schindler

J. Mach. Learn. Res., 2022

TT-NF: Tensor Train Neural Fields.

Anton Obukhov, Mikhail Usvyatsov, Christos Sakaridis, Konrad Schindler, Luc Van Gool

CoRR, 2022

T4DT: Tensorizing Time for Learning Temporal 3D Visual Data.

Mikhail Usvyatsov, Rafael Ballester, Lina Bashaeva, Konrad Schindler, Gonzalo Ferrer, Ivan V. Oseledets

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation.

Mikhail Usvyatsov, Anastasia Makarova, Rafael Ballester-Ripoll, Maxim V. Rakhuba, Andreas Krause, Konrad Schindler

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Predator: Registration of 3D Point Clouds With Low Overlap.

Shengyu Huang, Zan Gojcic, Mikhail Usvyatsov, Andreas Wieser, Konrad Schindler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs.

Timo Hackel, Mikhail Usvyatsov, Silvano Galliani, Jan D. Wegner, Konrad Schindler

Int. J. Comput. Vis., 2020

Indoor Scene Recognition in 3D.

Shengyu Huang, Mikhail Usvyatsov, Konrad Schindler

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Visual recognition in the wild by sampling deep similarity functions.

Mikhail Usvyatsov, Konrad Schindler

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in Convolutional Networks.

Timo Hackel, Mikhail Usvyatsov, Silvano Galliani, Jan Dirk Wegner, Konrad Schindler

CoRR, 2018