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Xizhou Zhu
Xizhou Zhu
SenseTime Research
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Title
Cited by
Cited by
Year
Deformable convnets v2: More deformable, better results
X Zhu, H Hu, S Lin, J Dai
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
9892019
Deformable detr: Deformable transformers for end-to-end object detection
X Zhu, W Su, L Lu, B Li, X Wang, J Dai
arXiv preprint arXiv:2010.04159, 2020
9372020
Vl-bert: Pre-training of generic visual-linguistic representations
W Su, X Zhu, Y Cao, B Li, L Lu, F Wei, J Dai
arXiv preprint arXiv:1908.08530, 2019
8032019
Flow-guided feature aggregation for video object detection
X Zhu, Y Wang, J Dai, L Yuan, Y Wei
Proceedings of the IEEE international conference on computer vision, 408-417, 2017
5022017
Deep feature flow for video recognition
X Zhu, Y Xiong, J Dai, L Yuan, Y Wei
Proceedings of the IEEE conference on computer vision and pattern …, 2017
4972017
Towards high performance video object detection
X Zhu, J Dai, L Yuan, Y Wei
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
2152018
An empirical study of spatial attention mechanisms in deep networks
X Zhu, D Cheng, Z Zhang, S Lin, J Dai
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
1792019
An uncertainty-aware approach for exploratory microblog retrieval
M Liu, S Liu, X Zhu, Q Liao, F Wei, S Pan
IEEE transactions on visualization and computer graphics 22 (1), 250-259, 2015
602015
Integrated object detection and tracking with tracklet-conditioned detection
Z Zhang, D Cheng, X Zhu, S Lin, J Dai
arXiv preprint arXiv:1811.11167, 2018
392018
Deformable kernels: Adapting effective receptive fields for object deformation
H Gao, X Zhu, S Lin, J Dai
arXiv preprint arXiv:1910.02940, 2019
372019
Spatially adaptive inference with stochastic feature sampling and interpolation
Z Xie, Z Zhang, X Zhu, G Huang, S Lin
European conference on computer vision, 531-548, 2020
362020
Auto seg-loss: Searching metric surrogates for semantic segmentation
H Li, C Tao, X Zhu, X Wang, G Huang, J Dai
arXiv preprint arXiv:2010.07930, 2020
172020
Unsupervised object detection with lidar clues
H Tian, Y Chen, J Dai, Z Zhang, X Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
92021
Autoloss-zero: Searching loss functions from scratch for generic tasks
H Li, T Fu, J Dai, H Li, G Huang, X Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
82022
Exploring the equivalence of siamese self-supervised learning via a unified gradient framework
C Tao, H Wang, X Zhu, J Dong, S Song, G Huang, J Dai
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
72022
Uni-perceiver: Pre-training unified architecture for generic perception for zero-shot and few-shot tasks
X Zhu, J Zhu, H Li, X Wu, H Li, X Wang, J Dai
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
72022
Collaborative visual navigation
H Wang, W Wang, X Zhu, J Dai, L Wang
arXiv preprint arXiv:2107.01151, 2021
72021
Siamese Image Modeling for Self-Supervised Vision Representation Learning
C Tao, X Zhu, G Huang, Y Qiao, X Wang, J Dai
arXiv preprint arXiv:2206.01204, 2022
22022
Searching Parameterized AP Loss for Object Detection
T Chenxin, Z Li, X Zhu, G Huang, Y Liu
Advances in Neural Information Processing Systems 34, 22021-22033, 2021
12021
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs
J Zhu, X Zhu, W Wang, X Wang, H Li, X Wang, J Dai
arXiv preprint arXiv:2206.04674, 2022
2022
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