Artikel mit Open-Access-Mandaten - Qinghao HuWeitere Informationen
Nicht verfügbar: 4
Quantized CNN: A unified approach to accelerate and compress convolutional networks
J Cheng, J Wu, C Leng, Y Wang, Q Hu
IEEE transactions on neural networks and learning systems 29 (10), 4730-4743, 2017
Mandate: National Natural Science Foundation of China
Pseudo label based unsupervised deep discriminative hashing for image retrieval
Q Hu, J Wu, J Cheng, L Wu, H Lu
Proceedings of the 25th ACM international conference on Multimedia, 1584-1590, 2017
Mandate: National Natural Science Foundation of China
Adversarial binary mutual learning for semi-supervised deep hashing
Q Hu, Y Yang, J Cheng, ZG Hou
IEEE Transactions on Neural Networks and Learning Systems 33 (8), 4110-4124, 2021
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
Fast k-means for large scale clustering
Q Hu, J Wu, L Bai, Y Zhang, J Cheng
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
Verfügbar: 16
Quantized convolutional neural networks for mobile devices
J Wu, C Leng, Y Wang, Q Hu, J Cheng
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Mandate: National Natural Science Foundation of China
Two-step quantization for low-bit neural networks
P Wang, Q Hu, Y Zhang, C Zhang, Y Liu, J Cheng
Proceedings of the IEEE Conference on computer vision and pattern …, 2018
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
Mixformer: Mixing features across windows and dimensions
Q Chen, Q Wu, J Wang, Q Hu, T Hu, E Ding, J Cheng, J Wang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
Mandate: National Natural Science Foundation of China
From hashing to cnns: Training binary weight networks via hashing
Q Hu, P Wang, J Cheng
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Mandate: National Natural Science Foundation of China
Semi-supervised generative adversarial hashing for image retrieval
G Wang, Q Hu, J Cheng, Z Hou
Proceedings of the European conference on computer vision (ECCV), 469-485, 2018
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
Proxybnn: Learning binarized neural networks via proxy matrices
X He, Z Mo, K Cheng, W Xu, Q Hu, P Wang, Q Liu, J Cheng
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
DeepSearch: A fast image search framework for mobile devices
P Wang, Q Hu, Z Fang, C Zhao, J Cheng
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2017
Mandate: National Natural Science Foundation of China
Training binary weight networks via semi-binary decomposition
Q Hu, G Li, P Wang, Y Zhang, J Cheng
Proceedings of the European Conference on Computer Vision (ECCV), 637-653, 2018
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
Deep learning workload scheduling in gpu datacenters: A survey
Z Ye, W Gao, Q Hu, P Sun, X Wang, Y Luo, T Zhang, Y Wen
ACM Computing Surveys 56 (6), 1-38, 2024
Mandate: National Natural Science Foundation of China
Accumulated trivial attention matters in vision transformers on small datasets
X Chen, Q Hu, K Li, C Zhong, G Wang
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
Mandate: US Department of Agriculture, Natural Sciences and Engineering Research …
ECBC: Efficient convolution via blocked columnizing
T Zhao, Q Hu, X He, W Xu, J Wang, C Leng, J Cheng
IEEE Transactions on Neural Networks and Learning Systems, 2021
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
A system-level solution for low-power object detection
F Li, Z Mo, P Wang, Z Liu, J Zhang, G Li, Q Hu, X He, C Leng, Y Zhang, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
Learning deep features for msr-bing information retrieval challenge
Q Song, S Yu, C Leng, JX Wu, Q Hu, J Cheng
Proceedings of the 23rd ACM international conference on Multimedia, 169-172, 2015
Mandate: National Natural Science Foundation of China
ATF: An alternating training framework for weakly supervised face alignment
X Lan, Q Hu, J Cheng
IEEE Transactions on Multimedia 25, 1798-1809, 2022
Mandate: National Natural Science Foundation of China
Shoot to know what: An application of deep networks on mobile devices
J Wu, Q Hu, C Leng, J Cheng
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
Mandate: National Natural Science Foundation of China
PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators
Q Hu, G Li, Q Wu, J Cheng
European Conference on Computer Vision, 312-327, 2022
Mandate: National Natural Science Foundation of China
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