Junde Wu
Computer Vision and Pattern Recognition · 2022–2025
A researcher in the Science corpus: 4 papers; trusts 54 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 74 citations into it
- Artificial Intelligence — 38 citations into it
- Radiology, Nuclear Medicine and Imaging — 23 citations into it
- Generative Models — 19 citations into it
- Statistical and Nonlinear Physics — 6 citations into it
Whom Junde Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Nichol
- Jonathan Ho
- Ilya Loshchilov
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Fabian Isensee
- Kaiming He
- Julia Wolleb
- Prafulla Dhariwal
Who trusts Junde Wu overall
Papers from Junde Wu's perspective
Ordered by how strongly the researchers Junde Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation (2023) — 975 citations
- SurgVLM: A Large Vision-Language Model and Systematic Evaluation Benchmark for Surgical Intelligence (2025)
- MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer (2023) — 353 citations
- MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model (2022) — 470 citations