Wang, Yunhe

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

CMT: Convolutional Neural Networks Meet Vision Transformers

Guo, J., Han, K., Wu, H., Tang, Y., Chen, X., Wang, Y., & Xu, C. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,005

CMT: Convolutional Neural Networks Meet Vision Transformers

Guo, J., Han, K., Wu, H., Tang, Y., Chen, X., Wang, Y., & Xu, C. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,005

Multimodal Token Fusion for Vision Transformers

Wang, Y., Chen, X., Cao, L., Huang, W., Sun, F., & Wang, Y. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 272

Patch Slimming for Efficient Vision Transformers

Tang, Y., Han, K., Wang, Y., Xu, C., Guo, J., Xu, C., & Tao, D. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 201

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

Post-Training Quantization for Vision Transformer

Liu, Z., Wang, Y., Han, K., Ma, S., & Gao, W. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 192

GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image

Zhu, M., Chen, H., Yan, Q., Huang, X., Lin, G., Li, W., Tu, Z., Hu, H., Hu, J., & Wang, Y. (2023) · arXiv

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 145

Genimage: A million-scale benchmark for detecting ai-generated image

Zhu, M., Chen, H., Yan, Q., Huang, X., Lin, G., Li, W., Tu, Z., Hu, H., Hu, J., & Wang, Y. (2023) · Advances in Neural Information Processing Systems 36

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 128

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection

Guo, J., Han, K., Wang, Y., Zhang, C., Yang, Z., Wu, H., Chen, X., & Xu, C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 110

Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation

Hao, Z., Guo, J., Jia, D., Han, K., Tang, Y., Zhang, C., Hu, H., & Wang, Y. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 44

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