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Xiaohan Ding
Xiaohan Ding
Tencent AI Lab
Verified email at mails.tsinghua.edu.cn - Homepage
Title
Cited by
Cited by
Year
RepVGG: Making VGG-style ConvNets Great Again
X Ding, X Zhang, N Ma, J Han, G Ding, J Sun
CVPR 2021, 2021
15652021
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
X Ding, Y Guo, G Ding, J Han
International Conference on Computer Vision (ICCV) 2019, 2019
7162019
Scaling up your kernels to 31x31: Revisiting large kernel design in cnns
X Ding, X Zhang, J Han, G Ding
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
7052022
Diverse branch block: Building a convolution as an inception-like unit
X Ding, X Zhang, J Han, G Ding
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
2552021
Centripetal sgd for pruning very deep convolutional networks with complicated structure
X Ding, G Ding, Y Guo, J Han
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
2042019
Resrep: Lossless cnn pruning via decoupling remembering and forgetting
X Ding, T Hao, J Tan, J Liu, J Han, Y Guo, G Ding
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
1882021
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
X Ding, G Ding, X Zhou, Y Guo, J Liu, J Han
NeurIPS 2019, 2019
1812019
Repmlpnet: Hierarchical vision mlp with re-parameterized locality
X Ding, H Chen, X Zhang, J Han, G Ding
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
176*2022
Auto-balanced filter pruning for efficient convolutional neural networks
X Ding, G Ding, J Han, S Tang
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
1322018
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization
X Ding, G Ding, Y Guo, J Han, C Yan
International Conference on Machine Learning, 1607-1616, 2019
1292019
Re-parameterizing Your Optimizers rather than Architectures
X Ding, H Chen, X Zhang, K Huang, J Han, G Ding
ICLR 2023, 2023
452023
Unireplknet: A universal perception large-kernel convnet for audio, video, point cloud, time-series and image recognition
X Ding, Y Zhang, Y Ge, S Zhao, L Song, X Yue, Y Shan
(CVPR 2024) arXiv preprint arXiv:2311.15599, 2023
192023
What Makes for Good Visual Tokenizers for Large Language Models?
G Wang, Y Ge, X Ding, M Kankanhalli, Y Shan
arXiv preprint arXiv:2305.12223, 2023
182023
Dual-View Ranking with Hardness Assessment for Zero-Shot Learning
Y Guo, G Ding, J Han, X Ding, S Zhao, Z Wang, C Yan, Q Dai
Proceedings of the AAAI Conference on Artificial Intelligence 33, 8360-8367, 2019
132019
Vl-gpt: A generative pre-trained transformer for vision and language understanding and generation
J Zhu, X Ding, Y Ge, Y Ge, S Zhao, H Zhao, X Wang, Y Shan
arXiv preprint arXiv:2312.09251, 2023
122023
Manipulating identical filter redundancy for efficient pruning on deep and complicated cnn
T Hao, X Ding, J Han, Y Guo, G Ding
IEEE Transactions on Neural Networks and Learning Systems, 2023
11*2023
Evolving Semantic Prototype Improves Generative Zero-Shot Learning
S Chen, W Hou, Z Hong, X Ding, Y Song, X You, T Liu, K Zhang
ICML 2023, 2023
72023
Advancing vision transformers with group-mix attention
C Ge, X Ding, Z Tong, L Yuan, J Wang, Y Song, P Luo
arXiv preprint arXiv:2311.15157, 2023
62023
Seed-x: Multimodal models with unified multi-granularity comprehension and generation
Y Ge, S Zhao, J Zhu, Y Ge, K Yi, L Song, C Li, X Ding, Y Shan
arXiv preprint arXiv:2404.14396, 2024
52024
Refconv: Re-parameterized refocusing convolution for powerful convnets
Z Cai, X Ding, Q Shen, X Cao
arXiv preprint arXiv:2310.10563, 2023
52023
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Articles 1–20