Follow
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
3502016
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
2192019
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
1252020
Incorporating convolution designs into visual transformers
K Yuan, S Guo, Z Liu, A Zhou, F Yu, W Wu
Proceedings of the IEEE/CVF International Conference on Computer Vision, 579-588, 2021
1192021
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
602021
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
592020
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
422021
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
252021
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
202021
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
142020
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
112020
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
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
9*2021
Equalized focal loss for dense long-tailed object detection
B Li, Y Yao, J Tan, G Zhang, F Yu, J Lu, Y Luo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
82022
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
arXiv preprint arXiv:2111.03759, 2021
82021
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
72021
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
72021
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
62019
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization
X Wei, R Gong, Y Li, X Liu, F Yu
arXiv preprint arXiv:2203.05740, 2022
32022
Dms: Differentiable dimension search for binary neural networks
Y Li, R Gong, F Yu, X Dong, X Liu
International Conference on Learning Representations, 2020
32020
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
12021
The system can't perform the operation now. Try again later.
Articles 1–20