Zhuang Liu
Zhuang Liu
PhD student at UC Berkeley
Verified email at berkeley.edu - Homepage
Cited by
Cited by
Densely Connected Convolutional Networks
G Huang*, Z Liu*, L Maaten, KQ Weinberger
Computer Vision and Pattern Recognition (CVPR), 2017, 2017
Deep Networks with Stochastic Depth
G Huang, Y Sun, Z Liu, D Sedra, KQ Weinberger
European Conference on Computer Vision (ECCV), 2016, 2016
Learning Efficient Convolutional Networks through Network Slimming
Z Liu, J Li, Z Shen, G Huang, S Yan, C Zhang
International Conference on Computer Vision (ICCV), 2017, 2017
Dsod: Learning deeply supervised object detectors from scratch
Z Shen*, Z Liu*, J Li, YG Jiang, Y Chen, X Xue
Proceedings of the IEEE International Conference on Computer Vision, 1919-1927, 2017
Snapshot ensembles: Train 1, get m for free
G Huang, Y Li, G Pleiss, Z Liu, JE Hopcroft, KQ Weinberger
arXiv preprint arXiv:1704.00109, 2017
Rethinking the value of network pruning
Z Liu*, M Sun*, T Zhou, G Huang, T Darrell
arXiv preprint arXiv:1810.05270, 2018
Few-shot object detection via feature reweighting
B Kang*, Z Liu*, X Wang, F Yu, J Feng, T Darrell
Proceedings of the IEEE International Conference on Computer Vision, 8420-8429, 2019
Convolutional networks with dense connectivity
G Huang, Z Liu, G Pleiss, L Van Der Maaten, K Weinberger
IEEE transactions on pattern analysis and machine intelligence, 2019
Test-time training with self-supervision for generalization under distribution shifts
Y Sun, X Wang, Z Liu, J Miller, AA Efros, M Hardt
International Conference on Machine Learning (ICML), 2020
A new meta-baseline for few-shot learning
Y Chen, X Wang, Z Liu, H Xu, T Darrell
arXiv preprint arXiv:2003.04390, 2020
Object detection from scratch with deep supervision
Z Shen, Z Liu, J Li, YG Jiang, Y Chen, X Xue
IEEE transactions on pattern analysis and machine intelligence 42 (2), 398-412, 2019
Few sample knowledge distillation for efficient network compression
T Li, J Li, Z Liu, C Zhang
arXiv preprint arXiv:1812.01839, 2018
Regularization Matters in Policy Optimization
Z Liu*, X Li*, B Kang, T Darrell
arXiv preprint arXiv:1910.09191, 2019
Rethinking Image Mixture for Unsupervised Visual Representation Learning
Z Shen, Z Liu, Z Liu, M Savvides, T Darrell
arXiv preprint arXiv:2003.05438, 2020
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation
J Lambert*, Z Liu*, O Sener, J Hayes, V Koltun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Transferable recognition-aware image processing
Z Liu, T Zhou, HJ Wang, Z Shen, B Kang, E Shelhamer, T Darrell
arXiv preprint arXiv:1910.09185, 2019
sensAI: Fast ConvNets Serving on Live Data via Class Parallelism
G Wang, Z Liu, S Zhuang, B Hsieh, J Gonzalez, I Stoica
MLOps Systems workshop in MLSys, 2020
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