VIJAY KUMAR B G
I am a Researcher at NEC Laboratories, America. Before joining NEC, I was a Research Scientist at PARC and prior to that I was a Research Fellow at the Australian Centre for Robotic Vision working with Prof. Ian Reid and Dr. Gustavo Carneiro. Before joining ACRV, I was a Researcher at the Advanced Research Group, Samsung Research Institute, Noida, India with a focus on developing novel features for next generation smart phones. My research interests are in the areas of machine learning and computer vision with current focus on Deep Metric Learning, Unsupervised Feature Learning, Zero/Few shot learning. I completed my Ph.D. in Computer science from Queen Mary University of London under Prof. Ioannis Patras. I received my MS in Electrical Engineering from IIT Madras and BE in Electronics Engineering from NIE Mysore. Google Scholar
Publications
Self-Training Large Language Models for Improved Visual Program Synthesis
With Visual Reinforcement
Zaid Khan, Vijay Kumar B G, Samuel Schulter, Manmohan Chandraker, Yun Fu
IEEE Computer Vision and Pattern Recognition (CVPR 2024) [Accepted]
OmniLabel: A Challenging Benchmark for Language-Based Object Detection
Samuel Schulter, Vijay Kumar B G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris Metaxas
International Conference on Computer Vision (ICCV 2023)
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning
Thanh-Toan Do, Toan Tran, Ian Reid, Vijay Kumar, Tuan Hoang, Gustavo Carneiro
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2019)
Bayesian Semantic Instance Segmentation in Open Set World
Trung Pham, Vijay Kumar B G, Thanh-Toan Do, Gustavo Carneiro, and Ian Reid
European Conference on Computer Vision (ECCV 2018)
[PDF], [link], [Bibtex]
Semantic Segmentation from Limited Training Data
Anton Milan, Trung Pham, Vijay Kumar B G et. al.
IEEE International Conference on Robotics and Automation (ICRA 2018)
[PDF], [link], [Video], [Bibtex]
Cartman: The low-cost Cartesian Manipulator that won the Amazon Robotics Challenge
D Morrison et. al.
IEEE International Conference on Robotics and Automation (ICRA 2018)
[PDF], [link], [Video], [Bibtex], [BBC][MIT Tech Review], [IEEE Spectrum], [Team]
Smart Mining for Deep Metric Learning
Vijay Kumar B G*, Ben Harwood*, Gustavo Carneiro, Ian Reid, and Tom Drummond
IEEE International Conference on Computer Vision (ICCV 2017),
[PDF], [link], [Bibtex]
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions
Vijay Kumar B G, Gustavo Carneiro, and Ian Reid
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2016) (Spotlight, Acceptance rate < 10%)
Learning Codebook Weights for Action Detection
Vijay Kumar B G and Ioannis Patras
International Workshop on Large-Scale Video Search and Mining (CVPRW 2012)
[PDF], [link], [Bibtex]
Max-Margin Non-Negative Matrix Factorization
Vijay Kumar B G, Irene Kotsia and Ioannis Patras
Image and Vision Computing, Elsevier (IVC 2012)
[PDF], [link], [Bibtex]
Max-Margin Semi-NMF
Vijay Kumar B G, Irene Kotsia and Ioannis Patras
British Machine Vision Conference (BMVC 2011)
[PDF], [link], [Bibtex]
A Discriminative Voting Scheme for Object Detection using Hough Forests
Vijay Kumar B G and Ioannis Patras
British Machine Vision Conference (BMVC 2010)
[PDF],[Bibtex]
Computationally Efficient Algorithm for Face Super resolution using (2D)2-PCA based Prior
Vijay Kumar B G and R Aravind
IET Image Processing, 2010
[link],[Bibtex]
A 2D Approach for Super resolution
Vijay Kumar B G and R Aravind
National Conference on Communications (NCC 2009)
[PDF],[Bibtex]
A 2D Model for Face Super resolution
Vijay Kumar B G and R Aravind
International Conference on Pattern Recognition (ICPR 2008)
[link] [Bibtex]
Face Hallucination Using OLPP and Kernel Ridge Regression
Vijay Kumar B G and R Aravind
IEEE International Conference on Image Processing (ICIP 2008)
[link][Bibtex]
Copyright © 2012 Vijay. All Rights Reserved.