Xihui Liu
Xihui Liu
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HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis
X Liu, H Zhao, M Tian, L Sheng, J Shao, S Yi, J Yan, X Wang
International Conference on Computer Vision (ICCV), 350-359, 2017
Orientation invariant feature embedding and spatial temporal regularization for vehicle re-identification
Z Wang, L Tang, X Liu, Z Yao, S Yi, J Shao, J Yan, S Wang, H Li, X Wang
International Conference on Computer Vision (ICCV), 379-387, 2017
Object Detection in Videos With Tubelet Proposal Networks
K Kang, H Li, T Xiao, W Ouyang, J Yan, X Liu, X Wang
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 727-735, 2017
Camp: Cross-modal adaptive message passing for text-image retrieval
Z Wang, X Liu, H Li, L Sheng, J Yan, X Wang, J Shao
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data
X Liu, H Li, J Shao, D Chen, X Wang
In Proceedings of the European Conference on Computer Vision (ECCV), 2018
Learning to predict layout-to-image conditional convolutions for semantic image synthesis
X Liu, G Yin, J Shao, X Wang
Advances in Neural Information Processing Systems 32, 2019
Improving referring expression grounding with cross-modal attention-guided erasing
X Liu, Z Wang, J Shao, X Wang, H Li
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1950-1959, 2019
Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association
D Chen, H Li, X Liu, Y Shen, J Shao, Z Yuan, X Wang
In Proceedings of the European Conference on Computer Vision (ECCV) (pp. 54-70)., 2018
Localization guided learning for pedestrian attribute recognition
P Liu, X Liu, J Yan, J Shao
British Machine Vision Conference 2018, 2018
Bridging Video-Text Retrieval With Multiple Choice Questions
Y Ge, Y Ge, X Liu, D Li, Y Shan, X Qie, P Luo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
More control for free! image synthesis with semantic diffusion guidance
X Liu, DH Park, S Azadi, G Zhang, A Chopikyan, Y Hu, H Shi, A Rohrbach, ...
arXiv preprint arXiv:2112.05744, 2021
Benchmark for Compositional Text-to-Image Synthesis
DH Park, S Azadi, X Liu, T Darrell, A Rohrbach
NeurIPS Dataset and Benchmark Track 2021, 2021
Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions
X Liu, Z Lin, J Zhang, H Zhao, Q Tran, X Wang, H Li
European Conference on Computer Vision (ECCV), 2020
Back to the source: Diffusion-driven test-time adaptation
J Gao, J Zhang, X Liu, T Darrell, E Shelhamer, D Wang
arXiv preprint arXiv:2207.03442, 2022
Miles: visual bert pre-training with injected language semantics for video-text retrieval
Y Ge, Y Ge, X Liu, J Wang, J Wu, Y Shan, X Qie, P Luo
European Conference on Computer Vision, 691-708, 2022
The artbench dataset: Benchmarking generative models with artworks
P Liao, X Li, X Liu, K Keutzer
arXiv preprint arXiv:2206.11404, 2022
Point Transformer V2: Grouped Vector Attention and Partition-based Pooling
X Wu, Y Lao, L Jiang, X Liu, H Zhao
arXiv preprint arXiv:2210.05666, 2022
Learning Transferable Spatiotemporal Representations from Natural Script Knowledge
Z Zeng, Y Ge, X Liu, B Chen, P Luo, ST Xia, Y Ge
arXiv preprint arXiv:2209.15280, 2022
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