Zhen Liu
Zhen Liu
MILA, University of Montreal
Verified email at gatech.edu
Title
Cited by
Cited by
Year
One-shot learning for semantic segmentation
A Shaban, S Bansal, Z Liu, I Essa, B Boots
arXiv preprint arXiv:1709.03410, 2017
1172017
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
1132018
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
532018
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
222018
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
212018
Multi Robot Object-based SLAM
S Choudhary, L Carlone, N Carlos, R John, Z Liu, HI Christensen, ...
International Symposium on Experimental Robotics, 2016
182016
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
162017
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
122018
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
92019
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
82018
Neural similarity learning
W Liu, Z Liu, JM Rehg, L Song
Advances in Neural Information Processing Systems, 5025-5036, 2019
52019
Compressive hyperspherical energy minimization
R Lin, W Liu, Z Liu, C Feng, Z Yu, JM Rehg, L Xiong, L Song
32019
Orthogonal over-parameterized training
W Liu, R Lin, Z Liu, JM Rehg, L Xiong, L Song
arXiv preprint arXiv:2004.04690, 2020
22020
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
12020
Decoupled Networks (with Appendix)
W Liu, Z Liu, Z Yu, B Dai, R Lin, Y Wang, JM Rehg, L Song
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Articles 1–15