Liu, Zicheng

End-to-End Human Pose and Mesh Reconstruction with Transformers

Lin, K., Wang, L., & Liu, Z. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and AnalysisHuman Pose and Action Recognition

Cited by 740

Mobile-Former: Bridging MobileNet and Transformer

Chen, Y., Dai, X., Chen, D., Liu, M., Dong, X., Yuan, L., & Liu, Z. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 731

Florence: A New Foundation Model for Computer Vision

Yuan, L., Chen, D., Chen, Y.-L., Codella, N., Dai, X., Gao, J., Hu, H., Huang, X., Li, B., Li, C., et al. (2021) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 389

Vision-Language Pre-Training: Basics, Recent Advances, and Future Trends

Gan, Z., Li, L., Li, C., Wang, L., Liu, Z., & Gao, J. (2022) · Foundations and Trends® in Computer Graphics and Vision

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 155

Agent Laboratory: Using LLM Agents as Research Assistants

Schmidgall, S., Su, Y., Wang, Z., Sun, X., Wu, J., Yu, X., Liu, J., Moor, M., Liu, Z., & Barsoum, E. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Topic ModelingNatural Language Processing Techniques

Cited by 59

Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions

Tan, C., Lyu, D., Li, S., Gao, Z., Wei, J., Ma, S., Liu, Z., & Li, S. Z. (2024) · arXiv

Topic ModelingAcademic Writing and Publishing

Cited by 3

NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation

Yin, S., Wu, C., Yang, H., Wang, J., Wang, X., Ni, M., Yang, Z., Li, L., Liu, S., Yang, F., et al. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 1