Jürgen W. Hesser
Computer Vision and Pattern Recognition · 2001–2019
A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 25 citations into it; #19,178 of 21,575 by trust here, #10,010 by citations
- Media Technology — 6 citations into it
Whom Jürgen W. Hesser trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jürgen W. Hesser overall
Papers from Jürgen W. Hesser's perspective
Ordered by how strongly the researchers Jürgen W. Hesser trusts endorse each paper. Same corpus, a different order for every researcher.
- Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries (IEEE Transactions on Image Processing)
- Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
- De-noising by soft-thresholding
- Optimal Spatial Adaptation for Patch-Based Image Denoising (IEEE Transactions on Image Processing)
- Fields of Experts (International Journal of Computer Vision)
- Fully convolutional networks for semantic segmentation
- Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images (IEEE Transactions on Image Processing)
- BM3D Image Denoising with Shape-Adaptive Principal Component Analysis
- Fast approximate energy minimization via graph cuts
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
Their papers
- The Liver Tumor Segmentation Benchmark (LiTS) (2019) — 1,500 citations
- Using immunotherapy to boost the abscopal effect (2018) — 1,098 citations
- Image Noise Level Estimation by Principal Component Analysis (2013) — 346 citations
- Calculating Dense Disparity Maps from Color Stereo Images, an Efficient Implementation (2001) — 335 citations