Xu, Chunjing

GhostNet: More Features From Cheap Operations

Han, K., Wang, Y., Tian, Q., Guo, J., Xu, C., & Xu, C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 5,222

Pre-Trained Image Processing Transformer

Chen, H., Wang, Y., Guo, T., Xu, C., Deng, Y., Liu, Z., Ma, S., Xu, C., Xu, C., & Gao, W. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Image Processing TechniquesImage and Signal Denoising Methods

Cited by 2,308

Transformer in Transformer

Han, K., Xiao, A., Wu, E., Guo, J., Xu, C., & Wang, Y. (2021) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 1,394

Voxel Transformer for 3D Object Detection

Mao, J., Xue, Y., Niu, M., Bai, H., Feng, J., Liang, X., Xu, H., & Xu, C. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network Applications3D Shape Modeling and Analysis

Cited by 520

AdderNet: Do We Really Need Multiplications in Deep Learning?

Chen, H., Wang, Y., Xu, C., Shi, B., Xu, C., Tian, Q., & Xu, C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 199

DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection

Yao, L., Han, J., Wen, Y., Liang, X., Xu, D., Zhang, W., Li, Z., Xu, C., & Xu, H. (2022) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 86

Training Binary Neural Networks through Learning with Noisy Supervision

Han, K., Wang, Y., Xu, Y., Xu, C., Wu, E., & Xu, C. (2020) · arXiv

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 36

Learning Versatile Convolution Filters for Efficient Visual Recognition

Han, K., Wang, Y., Xu, C., Xu, C., Wu, E., & Tao, D. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 8