Jeffrey Gu

According to our database, Jeffrey Gu authored at least 6 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Hyperbolic Deep Learning in Computer Vision: A Survey.

Pascal Mettes, Mina Ghadimi Atigh, Martin Keller-Ressel, Jeffrey Gu, Serena Yeung

CoRR, 2023

Generalizable Neural Fields as Partially Observed Neural Processes.

Jeffrey Gu, Kuan-Chieh Wang, Serena Yeung

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action.

Kuan-Chieh Wang, Zhenzhen Weng, Maria Xenochristou, João Pedro Araújo, Jeffrey Gu, C. Karen Liu, Serena Yeung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Staying in shape: learning invariant shape representations using contrastive learning.

Jeffrey Gu, Serena Yeung

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations.

Joy Hsu, Jeffrey Gu, Gong Her Wu, Wah Chiu, Serena Yeung

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Learning Hyperbolic Representations for Unsupervised 3D Segmentation.

Joy Hsu, Jeffrey Gu, Gong-Her Wu, Wah Chiu, Serena Yeung

CoRR, 2020