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Vijay Kumar B. G
- > Home > Persons > Vijay Kumar B. G
Publications
- 2019
- [c13]Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro:
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CVPR 2019: 10404-10413 - [i7]Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro:
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CoRR abs/1904.08720 (2019) - 2018
- [c11]Trung Pham, B. G. Vijay Kumar, Thanh-Toan Do, Gustavo Carneiro, Ian D. Reid:
Bayesian Semantic Instance Segmentation in Open Set World. ECCV (10) 2018: 3-18 - [c10]Rafael Felix, B. G. Vijay Kumar, Ian D. Reid, Gustavo Carneiro:
Multi-modal Cycle-Consistent Generalized Zero-Shot Learning. ECCV (6) 2018: 21-37 - [i6]Trung Pham, Vijay Kumar B. G, Thanh-Toan Do, Gustavo Carneiro, Ian D. Reid:
Bayesian Semantic Instance Segmentation in Open Set World. CoRR abs/1806.00911 (2018) - [i5]Rafael Felix, B. G. Vijay Kumar, Ian D. Reid, Gustavo Carneiro:
Multi-modal Cycle-consistent Generalized Zero-Shot Learning. CoRR abs/1808.00136 (2018) - 2017
- [c9]Ben Harwood, Vijay Kumar B. G, Gustavo Carneiro, Ian D. Reid, Tom Drummond:
Smart Mining for Deep Metric Learning. ICCV 2017: 2840-2848 - [i4]B. G. Vijay Kumar, Ben Harwood, Gustavo Carneiro, Ian D. Reid, Tom Drummond:
Smart Mining for Deep Metric Learning. CoRR abs/1704.01285 (2017) - 2016
- [c7]Vijay Kumar B. G, Gustavo Carneiro, Ian D. Reid:
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimizing Global Loss Functions. CVPR 2016: 5385-5394 - [c6]Ravi Garg, B. G. Vijay Kumar, Gustavo Carneiro, Ian D. Reid:
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue. ECCV (8) 2016: 740-756 - 2015
- [i1]B. G. Vijay Kumar, Gustavo Carneiro, Ian D. Reid:
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions. CoRR abs/1512.09272 (2015)
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