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Weijian Xu
Weijian Xu
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Title
Cited by
Cited by
Year
Co-scale conv-attentional image transformers
W Xu, Y Xu, T Chang, Z Tu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
3292021
Pose recognition with cascade transformers
K Li, S Wang, X Zhang, Y Xu, W Xu, Z Tu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1982021
Guided variational autoencoder for disentanglement learning
Z Ding, Y Xu, W Xu, G Parmar, Y Yang, M Welling, Z Tu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1082020
Line segment detection using transformers without edges
Y Xu, W Xu, D Cheung, Z Tu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1052021
Attentional constellation nets for few-shot learning
W Xu, Y Xu, H Wang, Z Tu
International conference on learning representations, 2021
982021
Wasserstein introspective neural networks
K Lee, W Xu, F Fan, Z Tu
Proceedings of the IEEE conference on computer vision and pattern …, 2018
572018
Instance segmentation with mask-supervised polygonal boundary transformers
J Lazarow, W Xu, Z Tu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
272022
3D volumetric modeling with introspective neural networks
W Huang, B Lai, W Xu, Z Tu
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8481-8488, 2019
192019
Convolutions and self-attention: Re-interpreting relative positions in pre-trained language models
TA Chang, Y Xu, W Xu, Z Tu
ACL 2021, 2021
142021
Geometry-Aware End-to-End Skeleton Detection.
W Xu, G Parmar, Z Tu
BMVC 2 (3), 7, 2019
122019
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks
B Xiao, H Wu, W Xu, X Dai, H Hu, Y Lu, M Zeng, C Liu, L Yuan
CVPR 2024, 2023
82023
Exploring Visual Structures in Deep Representation Learning
W Xu
University of California, San Diego, 2022
2022
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Articles 1–12