Chen, Xinghao

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

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

The Accuracy Paradox in RLHF: When Better Reward Models Don’t Yield Better Language Models

Chen, Y., Zhu, D., Sun, Y., Chen, X., Zhang, W., & Shen, X. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 1