| Extreme learning machine for multilayer perceptron J Tang, C Deng, GB Huang IEEE Transactions on Neural Networks and Learning Systems, 2015 | 1595 | 2015 |
| Compressed-domain ship detection on spaceborne optical image using deep neural network and extreme learning machine J Tang, C Deng, GB Huang, B Zhao IEEE transactions on geoscience and remote sensing 53 (3), 1174-1185, 2014 | 483 | 2014 |
| GCNv2: Efficient Correspondence Prediction for Real-Time SLAM J Tang, L Ericson, J Folkesson, P Jensfelt arXiv:1902.11046, 2019 | 182 | 2019 |
| Extreme learning machines: new trends and applications CW Deng, GB Huang, J Xu, JX Tang Science China. Information Sciences 58 (2), 1-16, 2015 | 168 | 2015 |
| Geometric correspondence network for camera motion estimation J Tang, J Folkesson, P Jensfelt IEEE Robotics and Automation Letters 3 (2), 1010-1017, 2018 | 76 | 2018 |
| Neural outlier rejection for self-supervised keypoint learning J Tang, H Kim, V Guizilini, S Pillai, R Ambrus arXiv preprint arXiv:1912.10615, 2019 | 37 | 2019 |
| Self-supervised 3d keypoint learning for ego-motion estimation J Tang, R Ambrus, V Guizilini, S Pillai, H Kim, P Jensfelt, A Gaidon Conference on robot learning, 2085-2103, 2021 | 33 | 2021 |
| A fast learning algorithm for multi-layer extreme learning machine J Tang, C Deng, GB Huang, J Hou 2014 IEEE International Conference on Image Processing (ICIP), 175-178, 2014 | 32 | 2014 |
| Sparse2Dense: From Direct Sparse Odometry to Dense 3-D Reconstruction J Tang, J Folkesson, P Jensfelt IEEE Robotics and Automation Letters 4 (2), 530 - 537, 2019 | 19 | 2019 |
| Semantically aware keypoint matching J Tang, RA Ambrus, V Guizilini, AD Gaidon US Patent 11,830,253, 2023 | 4 | 2023 |
| Self-supervised 3d keypoint learning for monocular visual odometry J Tang, RA Ambrus, V Guizilini, S Pillai, H Kim, AD Gaidon US Patent App. 17/093,393, 2021 | 4 | 2021 |
| Systems and methods for training a neural keypoint detection network J Tang, RA Ambrus, V Guizilini, S Pillai, H Kim US Patent 11,256,986, 2022 | 3 | 2022 |
| Learning algorithms for digital reconstruction of van Gogh’s drawings Y Zeng, J Tang, JCA van der Lubbe, M Loog Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation …, 2016 | 3 | 2016 |
| Self-supervised 3D keypoint learning for ego-motion estimation J Tang, RA Ambrus, V Guizilini, S Pillai, H Kim, AD Gaidon US Patent 11,900,626, 2024 | 2 | 2024 |
| Depth estimation based on ego-motion estimation and residual flow estimation J Tang, RA Ambrus, V Guizilini, AD Gaidon US Patent 11,727,588, 2023 | 2 | 2023 |
| 极限学习机: 新趋势与新应用 CW Deng, GB Huang, J Xu, JX Tang Science China Information Sciences 58, 1-16, 2015 | 2 | 2015 |
| MULTI-VIEW DEPTH ESTIMATION LEVERAGING OFFLINE STRUCTURE-FROM-MOTION J Tang, RA Ambrus, S Pillai, V Guzilini, AD Gaidon US Patent App. 18/794,298, 2024 | | 2024 |
| Incremental map building using learnable features and descriptors J Tang, RA Ambrus, H Kim, AD Gaidon, V Guizilini, W Xipeng, J Walls, ... US Patent App. 18/645,240, 2024 | | 2024 |
| Incremental map building using learnable features and descriptors J Tang, RA Ambrus, H Kim, V Guizilini, AD Gaidon, W Xipeng, J Walls, ... US Patent 11,994,408, 2024 | | 2024 |
| Semantically aware keypoint matching J Tang, RA Ambrus, V Guizilini, AD Gaidon US Patent App. 18/489,687, 2024 | | 2024 |
