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Zhuang Liu
Zhuang Liu
PhD student, 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
252892017
Deep Networks with Stochastic Depth
G Huang, Y Sun, Z Liu, D Sedra, KQ Weinberger
European Conference on Computer Vision (ECCV), 2016, 2016
16102016
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
14942017
Rethinking the Value of Network Pruning
Z Liu, M Sun, T Zhou, G Huang, T Darrell
International Conference on Learning Representations (ICLR), 2019, 2019
8892019
Snapshot Ensembles: Train 1, Get M for Free
G Huang, Y Li, G Pleiss, Z Liu, JE Hopcroft, KQ Weinberger
International Conference on Learning Representations (ICLR), 2017, 2017
6312017
DSOD: Learning Deeply Supervised Object Detectors from Scratch
Z Shen, Z Liu, J Li, YG Jiang, Y Chen, X Xue
International Conference on Computer Vision (ICCV), 2017, 2017
5462017
Few-shot Object Detection via Feature Reweighting
B Kang, Z Liu, X Wang, F Yu, J Feng, T Darrell
International Conference on Computer Vision (ICCV), 2019, 2019
3252019
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 (TPAMI), 2019
1882019
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Y Chen, Z Liu, H Xu, T Darrell, X Wang
International Conference on Computer Vision (ICCV), 2021, 2021
177*2021
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 (ICML), 2020, 2020
176*2020
A ConvNet for the 2020s
Z Liu, H Mao, CY Wu, C Feichtenhofer, T Darrell, S Xie
Computer Vision and Pattern Recognition (CVPR), 2022, 2022
682022
Few Sample Knowledge Distillation for Efficient Network Compression
T Li, J Li, Z Liu, C Zhang
Computer Vision and Pattern Recognition (CVPR), 2020, 2020
62*2020
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation
J Lambert, Z Liu, O Sener, J Hayes, V Koltun
Computer Vision and Pattern Recognition (CVPR), 2020, 2020
592020
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 (TPAMI), 2019
542019
Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning
Z Shen, Z Liu, Z Liu, M Savvides, T Darrell, E Xing
AAAI Conference on Artificial Intelligence (AAAI), 2022, 2022
32*2022
Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control
Z Liu, X Li, B Kang, T Darrell
International Conference on Learning Representations (ICLR), 2021, 2021
25*2021
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
Machine Learning and Systems (MLSys), 2021, 2021
4*2021
Exploring Simple and 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
42019
Anytime Dense Prediction with Confidence Adaptivity
Z Liu, Z Xu, HJ Wang, T Darrell, E Shelhamer
International Conference on Learning Representations (ICLR), 2022, 2022
1*2022
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space
A Chavan, Z Shen, Z Liu, Z Liu, KT Cheng, E Xing
Computer Vision and Pattern Recognition (CVPR), 2022, 2022
12022
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