Kai Han
Kai Han
Huawei Noah's Ark Lab
Verified email at pku.edu.cn
Cited by
Cited by
Autoencoder Inspired Unsupervised Feature Selection
K Han, Y Wang, C Zhang, C Li, C Xu
ICASSP 2018, 2941-2945, 2018
Attribute-Aware Attention Model for Fine-grained Representation Learning
K Han, J Guo, C Zhang, M Zhu
ACM MM 2018, 2040-2048, 2018
Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN
S Su, C Zhang, K Han, Y Tian
NeurIPS 2018, 804-813, 2018
Searching for accurate binary neural architectures
M Shen, K Han, C Xu, Y Wang
ICCV 2019 Neural Architects Workshop, 2019
Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification
J Guo, Y Yuan, L Huang, C Zhang, J Yao, K Han
ICCV 2019, 2019
GhostNet: More features from cheap operations
K Han, Y Wang, Q Tian, J Guo, C Xu, C Xu
CVPR 2020, 1580-1589, 2020
Co-evolutionary compression for unpaired image translation
H Shu, Y Wang, X Jia, K Han, H Chen, C Xu, Q Tian, C Xu
ICCV 2019, 2019
Attribute Aware Pooling for Pedestrian Attribute Recognition
K Han, Y Wang, H Shu, C Liu, C Xu, C Xu
IJCAI 2019, 2456-2462, 2019
Positive-Unlabeled Compression on the Cloud
Y Xu, Y Wang, H Chen, K Han, C Xu, D Tao, C Xu
NeurIPS 2019, 2019
Low-Resolution Visual Recognition via Deep Feature Distillation
M Zhu, K Han, C Zhang, J Lin, Y Wang
ICASSP 2019, 2019
Hit-Detector: Hierarchical trinity architecture search for object detection
J Guo, K Han, Y Wang, C Zhang, Z Yang, H Wu, X Chen, C Xu
CVPR 2020, 11405-11414, 2020
Learning Instance-wise Sparsity for Accelerating Deep Models
C Liu, Y Wang, K Han, C Xu, C Xu
IJCAI 2019, 3001-3007, 2019
Balanced Binary Neural Networks with Gated Residual
M Shen, X Liu, R Gong, K Han
ICASSP 2020, 2020
ReNAS: Relativistic Evaluation of Neural Architecture Search
Y Xu, Y Wang, K Han, S Jui, C Xu, Q Tian, C Xu
arXiv, arXiv: 1910.01523, 2019
Full-stack filters to build minimum viable cnns
K Han, Y Wang, Y Xu, C Xu, D Tao, C Xu
arXiv preprint arXiv:1908.02023, 2019
Widening and Squeezing: Towards Accurate and Efficient QNNs
C Liu, K Han, Y Wang, H Chen, C Xu, Q Tian
arXiv preprint arXiv:2002.00555, 2020
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