Fangyun Wei
Fangyun Wei
Microsoft Research Asia
Verified email at microsoft.com
Title
Cited by
Cited by
Year
Gcnet: Non-local networks meet squeeze-excitation networks and beyond
Y Cao, J Xu, S Lin, F Wei, H Hu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
3372019
Wider face and pedestrian challenge 2018: Methods and results
CC Loy, D Lin, W Ouyang, Y Xiong, S Yang, Q Huang, D Zhou, W Xia, ...
arXiv preprint arXiv:1902.06854, 2019
182019
Point-set anchors for object detection, instance segmentation and pose estimation
F Wei, X Sun, H Li, J Wang, S Lin
ECCV 2020, 2020
172020
Group Sampling for Scale Invariant Face Detection
X Ming, F Wei, T Zhang, D Chen, N Zheng, F Wen
IEEE transactions on pattern analysis and machine intelligence, 2020
172020
Group sampling for scale invariant face detection
X Ming, F Wei, T Zhang, D Chen, F Wen
CVPR 2019, 2019
172019
Anomaly detection via local coordinate factorization and spatio-temporal pyramid
T Xiao, C Zhang, H Zha, F Wei
Asian Conference on Computer Vision, 66-82, 2014
112014
RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder
C Chi, F Wei, H Hu
NeurIPS 2020, 2020
92020
Design and Interpretation of Universal Adversarial Patches in Face Detection
X Yang, F Wei, H Zhang, X Ming, J Zhu
ECCV 2020, 2019
62019
Restoring Negative Information in Few-Shot Object Detection
Y Yang, F Wei, M Shi, G Li
NeurIPS 2020, 2020
42020
Anomaly detection with elm-based visual attribute and spatio-temporal pyramid
T Xiao, C Zhang, H Zha, F Wei
Proceedings of ELM-2014 Volume 2, 309-319, 2015
12015
Aligning Pretraining for Detection via Object-Level Contrastive Learning
F Wei, Y Gao, Z Wu, H Hu, S Lin
arXiv preprint arXiv:2106.02637, 2021
2021
High-Fidelity and Arbitrary Face Editing
Y Gao, F Wei, J Bao, S Gu, D Chen, F Wen, Z Lian
CVPR 2021, 2021
2021
Global Context Networks
Y Cao, J Xu, S Lin, F Wei, H Hu
IEEE transactions on pattern analysis and machine intelligence, 2020
2020
Manifold-Regularized Selectable Factor Extraction for Semi-supervised Image Classification.
X Shi, C Zhang, F Wei, H Zhang, Y She
BMVC, 132.1-132.11, 2015
2015
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