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Zhuliang Yao
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2020 – today
- 2023
- [c9]Yixuan Wei, Yue Cao, Zheng Zhang, Houwen Peng, Zhuliang Yao, Zhenda Xie, Han Hu, Baining Guo:
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-training for Visual Recognition. CVPR 2023: 2776-2786 - 2022
- [c8]Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai, Han Hu:
SimMIM: a Simple Framework for Masked Image Modeling. CVPR 2022: 9643-9653 - [c7]Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo:
Swin Transformer V2: Scaling Up Capacity and Resolution. CVPR 2022: 11999-12009 - [i7]Yixuan Wei, Yue Cao, Zheng Zhang, Zhuliang Yao, Zhenda Xie, Han Hu, Baining Guo:
iCAR: Bridging Image Classification and Image-text Alignment for Visual Recognition. CoRR abs/2204.10760 (2022) - 2021
- [c6]Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin:
Cross-Iteration Batch Normalization. CVPR 2021: 12331-12340 - [c5]Zhuliang Yao, Yue Cao, Yutong Lin, Ze Liu, Zheng Zhang, Han Hu:
Leveraging Batch Normalization for Vision Transformers. ICCVW 2021: 413-422 - [i6]Zhenda Xie, Yutong Lin, Zhuliang Yao, Zheng Zhang, Qi Dai, Yue Cao, Han Hu:
Self-Supervised Learning with Swin Transformers. CoRR abs/2105.04553 (2021) - [i5]Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo:
Swin Transformer V2: Scaling Up Capacity and Resolution. CoRR abs/2111.09883 (2021) - [i4]Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai, Han Hu:
SimMIM: A Simple Framework for Masked Image Modeling. CoRR abs/2111.09886 (2021) - 2020
- [c4]Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu:
Disentangled Non-local Neural Networks. ECCV (15) 2020: 191-207 - [i3]Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin:
Cross-Iteration Batch Normalization. CoRR abs/2002.05712 (2020) - [i2]Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu:
Disentangled Non-Local Neural Networks. CoRR abs/2006.06668 (2020)
2010 – 2019
- 2019
- [c3]Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie:
Balanced Sparsity for Efficient DNN Inference on GPU. AAAI 2019: 5676-5683 - [c2]Shijie Cao, Chen Zhang, Zhuliang Yao, Wencong Xiao, Lanshun Nie, De-chen Zhan, Yunxin Liu, Ming Wu, Lintao Zhang:
Efficient and Effective Sparse LSTM on FPGA with Bank-Balanced Sparsity. FPGA 2019: 63-72 - 2018
- [i1]Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie:
Balanced Sparsity for Efficient DNN Inference on GPU. CoRR abs/1811.00206 (2018) - 2017
- [c1]Zhongdao Wang, Luming Tang, Xihui Liu, Zhuliang Yao, Shuai Yi, Jing Shao, Junjie Yan, Shengjin Wang, Hongsheng Li, Xiaogang Wang:
Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification. ICCV 2017: 379-387
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last updated on 2024-11-06 21:34 CET by the dblp team
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