Xiong, Xuehan

Gemini: A Family of Highly Capable Multimodal Models

Gemini Team, Anil, R., Borgeaud, S., Alayrac, J.-B., Yu, J., Soricut, R., Schalkwyk, J., Dai, A. M., Hauth, A., Millican, K., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 990

Efficient Video Object Segmentation via Network Modulation

Yang, L., Wang, Y., Xiong, X., Yang, J., & Katsaggelos, A. K. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 386

Multiview Transformers for Video Recognition

Yan, S., Xiong, X., Arnab, A., Lu, Z., Zhang, M., Sun, C., & Schmid, C. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionMultimodal Machine Learning Applications

Cited by 312

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Gemini Team, Georgiev, P., Lei, V. I., Burnell, R., Bai, L., Gulati, A., Tanzer, G., Vincent, D., Pan, Z., Wang, S., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 306

Artificial Hippocampus Networks for Efficient Long-Context Modeling

Fang, Y., Yu, W., Zhong, S., Ye, Q., Xiong, X., & Wei, L. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0