Suncheng Xiang

Computer Vision and Pattern Recognition · 2020–2024

A researcher in the Science corpus: 3 papers; trusts 180 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 56 citations into it
• Artificial Intelligence — 33 citations into it
• Model Architectures — 22 citations into it
• Radiology, Nuclear Medicine and Imaging — 19 citations into it
• Optimization & Training — 7 citations into it

Whom Suncheng Xiang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Zhun Zhong
5. X. Zhang
6. Ross B. Girshick
7. Shaoqing Ren
8. Diederik P. Kingma
9. Yoshua Bengio
10. Yann LeCun

Who trusts Suncheng Xiang overall

1. Zheng Gong

Papers from Suncheng Xiang's perspective

Ordered by how strongly the researchers Suncheng Xiang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• VM-UNet: Vision Mamba UNet for Medical Image Segmentation (2024) — 971 citations
• MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation (2022) — 335 citations
• Unsupervised Domain Adaptation Through Synthesis For Person Re-Identification (2020) — 48 citations