Boris Knyazev
Boris Knyazev
Verified email at uoguelph.ca - Homepage
Title
Cited by
Cited by
Year
Leveraging large face recognition data for emotion classification
B Knyazev, R Shvetsov, N Efremova, A Kuharenko
2018 13th IEEE International Conference on Automatic Face & Gesture …, 2018
44*2018
Dominant and complementary emotion recognition from still images of faces
J Guo, Z Lei, J Wan, E Avots, N Hajarolasvadi, B Knyazev, A Kuharenko, ...
IEEE Access 6, 26391-26403, 2018
302018
Understanding attention and generalization in graph neural networks
B Knyazev, GW Taylor, MR Amer
Advances in Neural Information Processing Systems, 4204-4214, 2019
282019
Spectral multigraph networks for discovering and fusing relationships in molecules
B Knyazev, X Lin, MR Amer, GW Taylor
NeurIPS Workshop on Machine Learning for Molecules and Materials, 2018
62018
Методика и модель кластеризации паттернов двигательной активности лица как преобразований метаграфов
БА Князев, ВМ Черненький
Вестник МГТУ им. НЭ Баумана. Сер. Приборостроение, 34-54, 2014
52014
Applying an ontology approach and Kinect SDK to human posture description
AA Nekhina, B Knyazev, L Kashapova, I Spiridonov
Biomeditsinskaia radioelektronika= Biomedical Radioelectronics, 54-60, 2012
52012
Image Classification with Hierarchical Multigraph Networks
B Knyazev, X Lin, MR Amer, GW Taylor
British Machine Vision Conference (BMVC), 2019
42019
Recursive autoconvolution for unsupervised learning of convolutional neural networks
B Knyazev, E Barth, T Martinetz
2017 International Joint Conference on Neural Networks (IJCNN), 2486-2493, 2017
42017
Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions
B Knyazev, C Augusta, GW Taylor
arXiv preprint arXiv:1909.10367, 2019
32019
Understanding attention in graph neural networks
B Knyazev, GW Taylor, MR Amer
ICLR 2019 Workshop: Representation Learning on Graphs and Manifolds, 2019
32019
Convolutional Sparse Coding for Static and Dynamic Images Analysis.
BA Knyazev, VM Chernenkiy
Science & Education of Bauman MSTU/Nauka i Obrazovanie of Bauman MSTU, 2014
3*2014
Human nonverbal behavior multi-sourced ontological annotation
B Knyazev
International Workshop on Video and Image Ground Truth in Computer Vision …, 2013
32013
Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation
B Knyazev, H de Vries, C Cangea, GW Taylor, A Courville, E Belilovsky
arXiv preprint arXiv:2005.08230, 2020
12020
Слаборазреженные фильтры в распознавании изображений
БА Князев, ВМ Черненький
Информационно-измерительные и управляющие системы 15 (2), 49-56, 2017
12017
A Model for Facial Activity Recognition using Metarepresentation: a Concept
B Knyazev, Y Gapanyuk
The Sixth International Conferences on Advances in Multimedia (MMEDIA), 45-52, 2014
12014
Generative Graph Perturbations for Scene Graph Prediction
B Knyazev, H de Vries, C Cangea, GW Taylor, A Courville, E Belilovsky
arXiv preprint arXiv:2007.05756, 2020
2020
Tutorial on Graph Neural Networks for Computer Vision and Beyond
B Knyazev
https://medium.com/@BorisAKnyazev/tutorial-on-graph-neural-networks-for …, 2019
2019
Spectral Convolutional Networks on Hierarchical Multigraphs
B Knyazev, X Lin, MR Amer, GW Taylor
2018
PROCEEDINGS-13TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION, FG 2018
D Kononenko, V Lempitsky, W Merghani, A Davison, M Yap, X Guo, ...
Institute of Electrical and Electronics Engineers Inc. КОНФЕРЕНЦИЯ: 13TH …, 2018
2018
Graph Classification with Graph Convolutional Networks in PyTorch
B Knyazev
GitHub: https://github.com/bknyaz/graph_nn, 2018
2018
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Articles 1–20