Követés
Jiashi Feng
Jiashi Feng
ByteDance Inc.
E-mail megerősítve itt: bytedance.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Coordinate attention for efficient mobile network design
Q Hou, D Zhou, J Feng
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
43662021
Tokens-to-token vit: Training vision transformers from scratch on imagenet
L Yuan, Y Chen, T Wang, W Yu, Y Shi, ZH Jiang, FEH Tay, J Feng, S Yan
Proceedings of the IEEE/CVF international conference on computer vision, 558-567, 2021
22832021
Return of frustratingly easy domain adaptation
B Sun, J Feng, K Saenko
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
21972016
Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation
J Liang, D Hu, J Feng
International Conference on Machine Learning, 6028-6039, 2020
14172020
Decoupling representation and classifier for long-tailed recognition
B Kang, S Xie, M Rohrbach, Z Yan, A Gordo, J Feng, Y Kalantidis
International Conference on Learning Representations (ICLR) 2020, 2019
14122019
Panet: Few-shot image semantic segmentation with prototype alignment
K Wang, JH Liew, Y Zou, D Zhou, J Feng
proceedings of the IEEE/CVF international conference on computer vision …, 2019
13562019
Deep joint rain detection and removal from a single image
W Yang, RT Tan, J Feng, J Liu, Z Guo, S Yan
Proceedings of the IEEE conference on computer vision and pattern …, 2017
12892017
A simple pooling-based design for real-time salient object detection
JJ Liu, Q Hou, MM Cheng, J Feng, J Jiang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
11792019
Dual path networks
Y Chen, J Li, H Xiao, X Jin, S Yan, J Feng
Advances in neural information processing systems 30, 2017
10412017
Metaformer is actually what you need for vision
W Yu, M Luo, P Zhou, C Si, Y Zhou, X Wang, J Feng, S Yan
Computer Vision and Pattern Recognition (CVPR), 2022, 2021
10142021
Perceptual generative adversarial networks for small object detection
J Li, X Liang, Y Wei, T Xu, J Feng, S Yan
Proceedings of the IEEE conference on computer vision and pattern …, 2017
9832017
Scale-aware Fast R-CNN for Pedestrian Detection
J Li, X Liang, SM Shen, T Xu, J Feng, S Yan
https://arxiv.org/abs/1510.08160, 2016
9782016
Object region mining with adversarial erasing: A simple classification to semantic segmentation approach
Y Wei, J Feng, X Liang, MM Cheng, Y Zhao, S Yan
Proceedings of the IEEE conference on computer vision and pattern …, 2017
9722017
Few-shot object detection via feature reweighting
B Kang, Z Liu, X Wang, F Yu, J Feng, T Darrell
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
9102019
Tensor robust principal component analysis with a new tensor nuclear norm
C Lu, J Feng, Y Chen, W Liu, Z Lin, S Yan
IEEE transactions on pattern analysis and machine intelligence 42 (4), 925-938, 2019
8852019
Revisiting knowledge distillation via label smoothing regularization
L Yuan, FEH Tay, G Li, T Wang, J Feng
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
728*2020
Drop an octave: Reducing spatial redundancy in convolutional neural networks with octave convolution
Y Chen, H Fan, B Xu, Z Yan, Y Kalantidis, M Rohrbach, S Yan, J Feng
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
7212019
Strip pooling: Rethinking spatial pooling for scene parsing
Q Hou, L Zhang, MM Cheng, J Feng
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
6882020
Adversarial complementary learning for weakly supervised object localization
X Zhang, Y Wei, J Feng, Y Yang, TS Huang
Proceedings of the IEEE conference on computer vision and pattern …, 2018
6882018
A^ 2-nets: Double attention networks
Y Chen, Y Kalantidis, J Li, S Yan, J Feng
Advances in neural information processing systems 31, 2018
6872018
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