| One-shot learning for semantic segmentation A Shaban, S Bansal, Z Liu, I Essa, B Boots arXiv preprint arXiv:1709.03410, 2017 | 130 | 2017 |
| Sbeed: Convergent reinforcement learning with nonlinear function approximation B Dai, A Shaw, L Li, L Xiao, N He, Z Liu, J Chen, L Song International Conference on Machine Learning, 1125-1134, 2018 | 120 | 2018 |
| Learning towards minimum hyperspherical energy W Liu, R Lin, Z Liu, L Liu, Z Yu, B Dai, L Song Advances in Neural Information Processing Systems, 6222-6233, 2018 | 57 | 2018 |
| Decoupled networks W Liu, Z Liu, Z Yu, B Dai, R Lin, Y Wang, JM Rehg, L Song Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 23 | 2018 |
| Towards black-box iterative machine teaching W Liu, B Dai, X Li, Z Liu, J Rehg, L Song International Conference on Machine Learning, 3141-3149, 2018 | 22 | 2018 |
| Multi Robot Object-based SLAM S Choudhary, L Carlone, N Carlos, R John, Z Liu, HI Christensen, ... International Symposium on Experimental Robotics, 2016 | 20 | 2016 |
| Motion planning with graph-based trajectories and Gaussian process inference E Huang, M Mukadam, Z Liu, B Boots 2017 IEEE International Conference on Robotics and Automation (ICRA), 5591-5598, 2017 | 16 | 2017 |
| Coupled variational bayes via optimization embedding B Dai, H Dai, N He, W Liu, Z Liu, J Chen, L Xiao, L Song Advances in Neural Information Processing Systems, 9690-9700, 2018 | 13 | 2018 |
| Exponential family estimation via adversarial dynamics embedding B Dai, Z Liu, H Dai, N He, A Gretton, L Song, D Schuurmans Advances in Neural Information Processing Systems, 10979-10990, 2019 | 12 | 2019 |
| Deep Forward and Inverse Perceptual Models for Tracking and Prediction A Lambert, A Shaban, A Raj, Z Liu, B Boots 2018 IEEE International Conference on Robotics and Automation (ICRA), 675-682, 2018 | 8 | 2018 |
| Neural similarity learning W Liu, Z Liu, JM Rehg, L Song Advances in Neural Information Processing Systems, 5025-5036, 2019 | 6 | 2019 |
| Orthogonal over-parameterized training W Liu, R Lin, Z Liu, JM Rehg, L Xiong, L Song arXiv preprint arXiv:2004.04690, 2020 | 3 | 2020 |
| Regularizing Neural Networks via Minimizing Hyperspherical Energy R Lin, W Liu, Z Liu, C Feng, Z Yu, JM Rehg, L Xiong, L Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 3 | 2020 |
| Compressive hyperspherical energy minimization R Lin, W Liu, Z Liu, C Feng, Z Yu, JM Rehg, L Xiong, L Song | 3 | 2019 |
| Decoupled Networks (with Appendix) W Liu, Z Liu, Z Yu, B Dai, R Lin, Y Wang, JM Rehg, L Song | | |
Carlos Nieto-GrandaU.S. Army Combat Capabilities Development Command Army Research Laboratory (ARL)Verified email at ucsd.edu
