Zhuang Liu
Zhuang Liu
PhD student at UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Densely Connected Convolutional Networks
G Huang*, Z Liu*, L Maaten, KQ Weinberger
Computer Vision and Pattern Recognition (CVPR), 2017, 2017
111952017
Deep Networks with Stochastic Depth
G Huang, Y Sun, Z Liu, D Sedra, KQ Weinberger
European Conference on Computer Vision (ECCV), 2016, 2016
9322016
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
6102017
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
3202017
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
3092017
Rethinking the value of network pruning
Z Liu*, M Sun*, T Zhou, G Huang, T Darrell
arXiv preprint arXiv:1810.05270, 2018
2692018
Densely connected convolutional networks. arXiv 2016
G Huang, Z Liu, KQ Weinberger, L van der Maaten
arXiv preprint arXiv:1608.06993 1608, 2018
1052018
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
622019
Two streams recurrent neural networks for large-scale continuous gesture recognition
X Chai, Z Liu, F Yin, Z Liu, X Chen
2016 23rd International Conference on Pattern Recognition (ICPR), 31-36, 2016
582016
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
302019
Continuous gesture recognition with hand-oriented spatiotemporal feature
Z Liu, X Chai, Z Liu, X Chen
Proceedings of the IEEE International Conference on Computer Vision …, 2017
302017
Test-time training for out-of-distribution generalization
Y Sun, X Wang, Z Liu, J Miller, AA Efros, M Hardt
arXiv preprint arXiv:1909.13231, 2019
182019
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
102019
Few sample knowledge distillation for efficient network compression
T Li, J Li, Z Liu, C Zhang
arXiv preprint arXiv:1812.01839, 2018
10*2018
A new meta-baseline for few-shot learning
Y Chen, X Wang, Z Liu, H Xu, T Darrell
arXiv preprint arXiv:2003.04390, 2020
92020
Regularization Matters in Policy Optimization
Z Liu*, X Li*, B Kang, T Darrell
arXiv preprint arXiv:1910.09191, 2019
42019
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
32020
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
32020
SignInstructor: an effective tool for sign language vocabulary learning
X Chai, Z Liu, Y Li, F Yin, X Chen
2017 4th IAPR Asian Conference on Pattern Recognition (ACPR), 900-905, 2017
32017
Transferable Recognition-Aware Image Processing
Z Liu, T Zhou, Z Shen, B Kang, T Darrell
arXiv preprint arXiv:1910.09185, 2019
22019
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Articles 1–20