Fengwei Yu
Fengwei Yu
Sensetime Group Limited, China
Verified email at sensetime.com - Homepage
Title
Cited by
Cited by
Year
Poi: Multiple object tracking with high performance detection and appearance feature
F Yu, W Li, Q Li, Y Liu, X Shi, J Yan
European Conference on Computer Vision, 36-42, 2016
2692016
Differentiable soft quantization: Bridging full-precision and low-bit neural networks
R Gong, X Liu, S Jiang, T Li, P Hu, J Lin, F Yu, J Yan
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1312019
Forward and backward information retention for accurate binary neural networks
H Qin, R Gong, X Liu, M Shen, Z Wei, F Yu, J Song
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
682020
Incorporating convolution designs into visual transformers
K Yuan, S Guo, Z Liu, A Zhou, F Yu, W Wu
arXiv preprint arXiv:2103.11816, 2021
392021
Towards unified int8 training for convolutional neural network
F Zhu, R Gong, F Yu, X Liu, Y Wang, Z Li, X Yang, J Yan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
352020
Brecq: Pushing the limit of post-training quantization by block reconstruction
Y Li, R Gong, X Tan, Y Yang, P Hu, Q Zhang, F Yu, W Wang, S Gu
arXiv preprint arXiv:2102.05426, 2021
242021
Diversifying Sample Generation for Accurate Data-Free Quantization
X Zhang, H Qin, Y Ding, R Gong, Q Yan, R Tao, Y Li, F Yu, X Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
82021
Extremely low-bit convolution optimization for quantized neural network on modern computer architectures
Q Han, Y Hu, F Yu, H Yang, B Liu, P Hu, R Gong, Y Wang, R Wang, ...
49th International Conference on Parallel Processing-ICPP, 1-12, 2020
82020
Differentiable soft quantization: Bridging full-precision and low-bit neural networks. In 2019 IEEE
R Gong, X Liu, S Jiang, T Li, P Hu, J Lin, F Yu, J Yan
CVF International Conference on Computer Vision (ICCV), 4851-4860, 2019
52019
Ir-net: Forward and backward information retention for highly accurate binary neural networks
H Qin, R Gong, X Liu, Z Wei, F Yu, J Song
42019
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark
Y Li, M Shen, J Ma, Y Ren, M Zhao, Q Zhang, R Gong, F Yu, J Yan
32021
Efficient bitwidth search for practical mixed precision neural network
Y Li, W Wang, H Bai, R Gong, X Dong, F Yu
arXiv preprint arXiv:2003.07577, 2020
32020
Supervision exists everywhere: A data efficient contrastive language-image pre-training paradigm
Y Li, F Liang, L Zhao, Y Cui, W Ouyang, J Shao, F Yu, J Yan
arXiv preprint arXiv:2110.05208, 2021
22021
Dms: Differentiable dimension search for binary neural networks
Y Li, R Gong, F Yu, X Dong, X Liu
International Conference on Learning Representations, 2020
22020
Robustart: Benchmarking robustness on architecture design and training techniques
S Tang, R Gong, Y Wang, A Liu, J Wang, X Chen, F Yu, X Liu, D Song, ...
arXiv preprint arXiv:2109.05211, 2021
12021
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing
Y Li, F Zhu, R Gong, M Shen, X Dong, F Yu, S Lu, S Gu
arXiv preprint arXiv:2011.09899, 2020
12020
INTERN: A New Learning Paradigm Towards General Vision
J Shao, S Chen, Y Li, K Wang, Z Yin, Y He, J Teng, Q Sun, M Gao, J Liu, ...
arXiv preprint arXiv:2111.08687, 2021
2021
Real World Robustness from Systematic Noise
Y Wang, Y Li, R Gong, T Xiao, F Yu
Proceedings of the 1st International Workshop on Adversarial Learning for …, 2021
2021
Differentiable Dynamic Wirings for Neural Networks
K Yuan, Q Li, S Guo, D Chen, A Zhou, F Yu, Z Liu
Proceedings of the IEEE/CVF International Conference on Computer Vision, 327-336, 2021
2021
Once Quantization-Aware Training: High Performance Extremely Low-Bit Architecture Search
M Shen, F Liang, R Gong, Y Li, C Li, C Lin, F Yu, J Yan, W Ouyang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
2021
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