Vijay Kumar B G
Vijay Kumar B G
Researcher at NEC Labs, America
Verified email at - Homepage
Cited by
Cited by
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
Multi-modal cycle-consistent generalized zero-shot learning
R Felix, I Reid, G Carneiro
Proceedings of the European conference on computer vision (ECCV), 21-37, 2018
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
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
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
Exploiting unlabeled data with vision and language models for object detection
S Zhao, Z Zhang, S Schulter, L Zhao, BG Vijay Kumar, A Stathopoulos, ...
European conference on computer vision, 159-175, 2022
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/CVF Conference on Computer Vision and Pattern …, 2019
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
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
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
Bayesian semantic instance segmentation in open set world
T Pham, TT Do, G Carneiro, I Reid
Proceedings of the European Conference on Computer Vision (ECCV), 3-18, 2018
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
Face hallucination using OLPP and kernel ridge regression
BGV Kumar, R Aravind
2008 15th IEEE International Conference on Image Processing, 353-356, 2008
Max-margin non-negative matrix factorization
BGV Kumar, I Kotsia, I Patras
Image and Vision Computing 30 (4-5), 279-291, 2012
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
Single-stream multi-level alignment for vision-language pretraining
Z Khan, BG Vijay Kumar, X Yu, S Schulter, M Chandraker, Y Fu
European Conference on Computer Vision, 735-751, 2022
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
A Discriminative Voting Scheme for Object Detection using Hough Forests
BGV Kumar, I Patras
British Machine Vision Conference (BMVC 2010), 2010
Supervised Dictionary Learning for Action Localization
BGV Kumar, I Patras
FG, 2013
Large scale multimodal classification using an ensemble of transformer models and co-attention
V Chordia, VK BG
arXiv preprint arXiv:2011.11735, 2020
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