Ren, Shuhuai

Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Fu, C., Dai, Y., Luo, Y., Li, L., Ren, S., Zhang, R., Wang, Z., Zhou, C., Shen, Y., Zhang, M., et al. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 291

TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding

Ren, S., Chen, S., Li, S., Sun, X., & Hou, L. (2023) · arXiv

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 20

MiMo: Unlocking the Reasoning Potential of Language Model - From Pretraining to Posttraining

Xiaomi, L.-C., :, Xia, B., Shen, B., Cici, Zhu, D., Zhang, D., Wang, G., Zhang, H., Liu, H., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

MiMo-V2-Flash Technical Report

Core Team, Xiao, B., Xia, B., Yang, B., Gao, B., Shen, B., Zhang, C., He, C., Lou, C., Luo, F., et al. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1