Vijay Kumar B G
Vijay Kumar B G
Research Scientist at PARC, CA
Verified email at parc.com - Homepage
Title
Cited by
Cited by
Year
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue
R Garg, I Vijay Kumar B G, Gustavo Carneiro, Reid
European Conference on Computer Vision, (ECCV 2016), 2016
7122016
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions
BG Vijay Kumar, G Carneiro, I Reid
IEEE Conference on Computer Vision and Pattern Recognition, (CVPR 2016), 2015
215*2015
Smart mining for deep metric learning
VB Kumar, B Harwood, G Carneiro, I Reid, T Drummond
IEEE International Conference on Computer Vision, (ICCV 2017), 2017
153*2017
Multi-modal cycle-consistent generalized zero-shot learning
R Felix, VBG Kumar, I Reid, G Carneiro
Proceedings of the European Conference on Computer Vision (ECCV), 21-37, 2018
1112018
Cartman: The low-cost cartesian manipulator that won the amazon robotics challenge
D Morrison, AW Tow, M Mctaggart, R Smith, N Kelly-Boxall, ...
2018 IEEE International Conference on Robotics and Automation (ICRA), 7757-7764, 2018
752018
Semantic segmentation from limited training data
A Milan, T Pham, K Vijay, D Morrison, AW Tow, L Liu, J Erskine, ...
2018 IEEE International Conference on Robotics and Automation (ICRA), 1908-1915, 2018
372018
DeepSetNet: Predicting Sets with Deep Neural Networks
SH Rezatofighi, V Kumar BG, A Milan, E Abbasnejad, A Dick, I Reid
IEEE International Conference on Computer Vision (ICCV 2017), 2016
36*2016
Computationally efficient algorithm for face super-resolution using (2D) 2-PCA based prior
BGV Kumar, R Aravind
IET image processing 4 (2), 61-69, 2010
222010
Max-margin non-negative matrix factorization
BGV Kumar, I Kotsia, I Patras
Image and Vision Computing 30 (4-5), 279-291, 2012
202012
Face hallucination using OLPP and kernel ridge regression
BGV Kumar, R Aravind
2008 15th IEEE International Conference on Image Processing, 353-356, 2008
192008
Bayesian semantic instance segmentation in open set world
T Pham, VBG Kumar, TT Do, G Carneiro, I Reid
Proceedings of the European Conference on Computer Vision (ECCV), 3-18, 2018
132018
A theoretically sound upper bound on the triplet loss for improving the efficiency of deep distance metric learning
TT Do, T Tran, I Reid, V Kumar, T Hoang, G Carneiro
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
122019
Supervised Dictionary Learning for Action Localization
BGV Kumar, I Patras
FG, 2013
102013
A Discriminative Voting Scheme for Object Detection using Hough Forests
BGV Kumar, I Patras
British Machine Vision Conference (BMVC 2010), 2010
102010
Design of a multi-modal end-effector and grasping system: How integrated design helped win the amazon robotics challenge
S Wade-McCue, N Kelly-Boxall, M McTaggart, D Morrison, AW Tow, ...
arXiv preprint arXiv:1710.01439, 2017
92017
Mechanical design of a cartesian manipulator for warehouse pick and place
M McTaggart, D Morrison, AW Tow, R Smith, N Kelly-Boxall, A Milan, ...
arXiv preprint arXiv:1710.00967, 2017
72017
Learning codebook weights for action detection
BGV Kumar, I Patras
2012 IEEE Computer Society Conference on Computer Vision and Pattern …, 2012
62012
Deep retinal image segmentation with regularization under geometric priors
V Cherukuri, VK Bg, R Bala, V Monga
IEEE Transactions on Image Processing 29, 2552-2567, 2019
52019
Max-Margin Semi-NMF
BGV Kumar, I Kotsia, I Patras, Q Mary
British Machine Vision Conference (BMVC 2011), 2011
52011
A 2d model for face superresolution
BGV Kumar, R Aravind
2008 19th International Conference on Pattern Recognition, 1-4, 2008
52008
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Articles 1–20