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Benjamin Graham
Benjamin Graham
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3d semantic segmentation with submanifold sparse convolutional networks
B Graham, M Engelcke, L Van Der Maaten
Proceedings of the IEEE conference on computer vision and pattern …, 2018
15402018
Sparse 3D convolutional neural networks
B Graham
BMVC 2015, 150.1-150.9, 2015
862*2015
Fractional max-pooling
B Graham
arXiv preprint arXiv:1412.6071, 2014
7042014
Levit: a vision transformer in convnet's clothing for faster inference
B Graham, A El-Nouby, H Touvron, P Stock, A Joulin, H Jégou, M Douze
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
5042021
Submanifold sparse convolutional networks
B Graham, L Van der Maaten
arXiv preprint arXiv:1706.01307, 2017
4952017
Spatially-sparse convolutional neural networks
B Graham
arXiv preprint arXiv:1409.6070, 2014
2912014
Alaaeldin El-Nouby, Hugo Touvron, Pierre Stock, Armand Joulin, Hervé Jégou, and Matthijs Douze. Levit: a vision transformer in convnet’s clothing for faster inference
B Graham
arXiv preprint arXiv:2104.01136 2 (3), 5, 2021
2822021
Exploring data-efficient 3d scene understanding with contrastive scene contexts
J Hou, B Graham, M Nießner, S Xie
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2422021
Training with quantization noise for extreme model compression
A Fan, P Stock, B Graham, E Grave, R Gribonval, H Jegou, A Joulin
arXiv preprint arXiv:2004.07320, 2020
2342020
Kaggle diabetic retinopathy detection competition report
B Graham
University of Warwick 22, 17, 2015
1982015
And the bit goes down: Revisiting the quantization of neural networks
P Stock, A Joulin, R Gribonval, B Graham, H Jégou
arXiv preprint arXiv:1907.05686, 2019
1632019
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion
AV David Novotny, Nikhila Ravi, Benjamin Graham, Natalia Neverova
ICCV, 2019
161*2019
Automated plankton image analysis using convolutional neural networks
RKC Jessica Y. Luo, Jean‐Olivier Irisson, Benjamin Graham, Cedric Guigand ...
Limnology and Oceanography: Methods, 2018
138*2018
Sparse arrays of signatures for online character recognition
B Graham
arXiv preprint arXiv:1308.0371, 2013
1032013
Analyzing spatially-sparse data based on submanifold sparse convolutional neural networks
BT Graham, LJP van der Maaten, MH Engelcke
US Patent 11,544,550, 2023
752023
3d multi-bodies: Fitting sets of plausible 3d human models to ambiguous image data
B Biggs, D Novotny, S Ehrhardt, H Joo, B Graham, A Vedaldi
Advances in neural information processing systems 33, 20496-20507, 2020
752020
Large-scale 3d shape reconstruction and segmentation from shapenet core55
L Yi, L Shao, M Savva, H Huang, Y Zhou, Q Wang, B Graham, M Engelcke, ...
arXiv preprint arXiv:1710.06104, 2017
712017
Influence and sharp-threshold theorems for monotonic measures
BT Graham, GR Grimmett
712006
Pri3d: Can 3d priors help 2d representation learning?
J Hou, S Xie, B Graham, A Dai, M Nießner
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
662021
Cotracker: It is better to track together
N Karaev, I Rocco, B Graham, N Neverova, A Vedaldi, C Rupprecht
arXiv preprint arXiv:2307.07635, 2023
582023
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