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
165552017
Deep Networks with Stochastic Depth
G Huang, Y Sun, Z Liu, D Sedra, KQ Weinberger
European Conference on Computer Vision (ECCV), 2016, 2016
12292016
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
9662017
Rethinking the value of network pruning
Z Liu*, M Sun*, T Zhou, G Huang, T Darrell
ICLR 2019, 2018
5212018
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
4402017
Snapshot ensembles: Train 1, get m for free
G Huang, Y Li, G Pleiss, Z Liu, JE Hopcroft, KQ Weinberger
ICLR 2017, 2017
4302017
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
1382019
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
922019
Densely connected convolutional networks. arXiv 2016
G Huang, Z Liu, L van der Maaten, KQ Weinberger
arXiv preprint arXiv:1608.06993 1608, 2016
852016
Densely connected convolutional networks (2016)
G Huang, Z Liu, KQ Weinberger, L van der Maaten
arXiv preprint arXiv:1608.06993 7, 2016
842016
Test-time training with self-supervision for generalization under distribution shifts
Y Sun, X Wang, Z Liu, J Miller, A Efros, M Hardt
International Conference on Machine Learning, 9229-9248, 2020
64*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
592020
Few sample knowledge distillation for efficient network compression
T Li, J Li, Z Liu, C Zhang
arXiv preprint arXiv:1812.01839, 2018
36*2018
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
282019
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
202020
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning
Z Shen, Z Liu, Z Liu, M Savvides, T Darrell, E Xing
arXiv preprint arXiv:2003.05438 3 (7), 2020
132020
Regularization Matters in Policy Optimization--An Empirical Study on Continuous Control
Z Liu*, X Li*, B Kang, T Darrell
arXiv preprint arXiv:1910.09191, 2019
13*2019
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
32019
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
G Wang, Z Liu, B Hsieh, S Zhuang, J Gonzalez, T Darrell, I Stoica
Proceedings of Machine Learning and Systems 3, 2021
1*2021
Confidence Adaptive Anytime Pixel-Level Recognition
Z Liu, T Darrell, E Shelhamer
arXiv preprint arXiv:2104.00749, 2021
2021
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