Alberto Montes
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 20 citations into it
Whom Alberto Montes trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Jitendra Malik (in Computer Vision and Pattern Recognition)
- Thomas Brox (in Computer Vision and Pattern Recognition)
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
- Cordelia Schmid (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
Papers from Alberto Montes's perspective
Ordered by how strongly the researchers Alberto Montes trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation
- One-Shot Video Object Segmentation
- Learning Video Object Segmentation from Static Images
- The 2017 DAVIS Challenge on Video Object Segmentation
- Video Segmentation by Tracking Many Figure-Ground Segments (IEEE International Conference on Computer Vision)
- The Hungarian method for the assignment problem
- Ieee Transactions on Pattern Analysis and Machine Intelligence Segmentation of Moving Objects by Long Term Video Analysis
- Online Adaptation of Convolutional Neural Networks for Video Object Segmentation
Their papers
- The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation (2019) — 179 citations