Zehao Huang
Zehao Huang
Verified email at tusimple.ai
Cited by
Cited by
Data-driven sparse structure selection for deep neural networks
Z Huang, N Wang
Proceedings of the European conference on computer vision (ECCV), 304-320, 2018
Like what you like: Knowledge distill via neuron selectivity transfer
Z Huang, N Wang
arXiv preprint arXiv:1707.01219, 2017
Ensemble based deep networks for image super-resolution
L Wang, Z Huang, Y Gong, C Pan
Pattern recognition 68, 191-198, 2017
You only search once: Single shot neural architecture search via direct sparse optimization
X Zhang, Z Huang, N Wang, S XIANG, C Pan
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition
Y Chen, C Han, Y Li, Z Huang, Y Jiang, N Wang, Z Zhang
Journal of Machine Learning Research(JMLR) 20 (156), 1-8, 2019
Image super-resolution via deep dilated convolutional networks
Z Huang, L Wang, G Meng, C Pan
2017 IEEE International Conference on Image Processing (ICIP), 953-957, 2017
Direct Differentiable Augmentation Search
A Liu, Z Huang, Z Huang, N Wang
arXiv preprint arXiv:2104.04282, 2021
Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object Tracking
J He, Z Huang, N Wang, Z Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1st Place Solutions of Waymo Open Dataset Challenge 2020--2D Object Detection Track
Z Huang, Z Chen, Q Li, H Zhang, N Wang
arXiv preprint arXiv:2008.01365, 2020
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection
C Yang, Z Huang, N Wang
arXiv preprint arXiv:2103.09136, 2021
Method and Apparatus for Training Neural Network and Computer Server
Z Huang, N Wang
US Patent App. 16/421,259, 2019
Method and device for training neural network
Z Huang, N Wang
US Patent App. 16/004,363, 2018
Method and apparatus for Sampling Training Data and Computer Server
Z Huang, N Wang
US Patent App. 16/421,320, 2019
Direct Differentiable Augmentation Search Supplementary Materials
A Liu, Z Huang, Z Huang, N Wang
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