Xu, Jiarui

GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond

Cao, Y., Xu, J., Lin, S., Wei, F., & Hu, H. (2019) · 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 2,307

MMDetection: Open MMLab Detection Toolbox and Benchmark

Chen, K., Wang, J., Pang, J., Cao, Y., Xiong, Y., Li, X., Sun, S., Feng, W., Liu, Z., Xu, J., et al. (2019) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,227

Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Sun, Y., Li, X., Dalal, K., Xu, J., Vikram, A., Zhang, G., Dubois, Y., Chen, X., Wang, X., Koyejo, S., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 18

One-Minute Video Generation with Test-Time Training

Dalal, K., Koceja, D., Xu, J., Zhao, Y., Han, S., Cheung, K. C., Kautz, J., Choi, Y., Sun, Y., & Wang, X. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 17