| 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 | 907 | 2016 |
| 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 | 250* | 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 | 183* | 2017 |
| 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 | 182 | 2018 |
| 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 | 100 | 2018 |
| 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 | 46 | 2018 |
| 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 | 40 | 2016 |
| 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 | 23 | 2019 |
| 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 | 23 | 2010 |
| 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 | 22 | 2018 |
| Max-margin non-negative matrix factorization BGV Kumar, I Kotsia, I Patras Image and Vision Computing 30 (4-5), 279-291, 2012 | 21 | 2012 |
| Face hallucination using OLPP and kernel ridge regression BGV Kumar, R Aravind 2008 15th IEEE International Conference on Image Processing, 353-356, 2008 | 21 | 2008 |
| 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 | 11 | 2017 |
| A Discriminative Voting Scheme for Object Detection using Hough Forests BGV Kumar, I Patras British Machine Vision Conference (BMVC 2010), 2010 | 11 | 2010 |
| 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 | 10 | 2019 |
| Supervised Dictionary Learning for Action Localization BGV Kumar, I Patras FG, 2013 | 10 | 2013 |
| 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 | 7 | 2017 |
| Gustavo, Carneiro R Felix, VBG Kumar, I Reid Multi-modal cycle-consistent generalized, zeroshot learning. In, ECCV 2 (3), 2018 | 6 | 2018 |
| Learning codebook weights for action detection BGV Kumar, I Patras 2012 IEEE Computer Society Conference on Computer Vision and Pattern …, 2012 | 6 | 2012 |
| Max-Margin Semi-NMF BGV Kumar, I Kotsia, I Patras, Q Mary British Machine Vision Conference (BMVC 2011), 2011 | 6 | 2011 |
Ian D ReidUniversity of AdelaideVerified email at adelaide.edu.au
