Yuan, Zehuan

Sparse R-CNN: End-to-End Object Detection with Learnable Proposals

Sun, P., Zhang, R., Jiang, Y., Kong, T., Xu, C., Zhan, W., Tomizuka, M., Li, L., Yuan, Z., Wang, C., et al. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 1,617

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Sun, P., Jiang, Y., Chen, S., Zhang, S., Peng, B., Luo, P., & Yuan, Z. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 12

Goku: Flow Based Video Generative Foundation Models

Chen, S., Ge, C., Zhang, Y., Zhang, Y., Zhu, F., Yang, H., Hao, H., Wu, H., Lai, Z., Hu, Y., et al. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 11