Follow
Xiaohan Ding
Xiaohan Ding
Bytedance
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
18862021
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
8972022
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
7972019
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
3202021
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
2212019
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
2152021
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
200*2022
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
1932019
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
1372019
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
1372018
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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
71*2024
Re-parameterizing Your Optimizers rather than Architectures
X Ding, H Chen, X Zhang, K Huang, J Han, G Ding
ICLR 2023, 2023
512023
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
242023
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
182023
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
172024
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
15*2023
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
142019
Online vectorized hd map construction using geometry
Z Zhang, Y Zhang, X Ding, F Jin, X Yue
arXiv preprint arXiv:2312.03341, 2023
112023
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
112023
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
102023
The system can't perform the operation now. Try again later.
Articles 1–20