Benjamin de Capitani
Computer Vision and Pattern Recognition · 2012
A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 20 citations into it; #21,417 of 21,575 by trust here, #15,162 by citations
Whom Benjamin de Capitani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Benjamin de Capitani overall
Papers from Benjamin de Capitani's perspective
Ordered by how strongly the researchers Benjamin de Capitani trusts endorse each paper. Same corpus, a different order for every researcher.
- Normalized cuts and image segmentation
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
- ImageNet Large Scale Visual Recognition Challenge
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Mean Shift: A Robust Approach Toward Feature Space Analysis
Their papers
- SEEDS: Superpixels Extracted Via Energy-Driven Sampling (2012) — 747 citations