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Omni-Dimensional Dynamic Convolution


Sep 16, 2022
Chao Li, Aojun Zhou, Anbang Yao

* Spotlight paper at ICLR 2022. Code and models are available at https://github.com/OSVAI/ODConv 

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An Algorithm-Hardware Co-Optimized Framework for Accelerating N:M Sparse Transformers


Aug 12, 2022
Chao Fang, Aojun Zhou, Zhongfeng Wang

* To appear in IEEE Transactions on Very Large Scale Integration (VLSI) Systems 

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Group R-CNN for Weakly Semi-supervised Object Detection with Points


May 12, 2022
Shilong Zhang, Zhuoran Yu, Liyang Liu, Xinjiang Wang, Aojun Zhou, Kai Chen

* Accepted to CVPR2022. Code has been released at https://github.com/jshilong/GroupRCNN 

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Pyramid Fusion Transformer for Semantic Segmentation


Jan 11, 2022
Zipeng Qin, Jianbo Liu, Xiaolin Zhang, Maoqing Tian, Aojun Zhou, Shuai Yi, Hongsheng Li


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Group Fisher Pruning for Practical Network Compression


Aug 02, 2021
Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang

* ICML2021; Code: https://github.com/jshilong/FisherPruning 

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Incorporating Convolution Designs into Visual Transformers


Apr 20, 2021
Kun Yuan, Shaopeng Guo, Ziwei Liu, Aojun Zhou, Fengwei Yu, Wei Wu


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Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch


Feb 08, 2021
Aojun Zhou, Yukun Ma, Junnan Zhu, Jianbo Liu, Zhijie Zhang, Kun Yuan, Wenxiu Sun, Hongsheng Li

* ICLR2021 

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Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks


Oct 02, 2020
Kun Yuan, Quanquan Li, Dapeng Chen, Aojun Zhou, Junjie Yan

* 13 pages, 3 figures, 6 tables 

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Towards Improving Generalization of Deep Networks via Consistent Normalization


Aug 31, 2019
Aojun Zhou, Yukun Ma, Yudian Li, Xiaohan Zhang, Ping Luo

* Technical Report 

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