Gustavo Javier Fernandez
Computer Vision and Pattern Recognition · 2014–2020
A researcher in the Science corpus: 8 papers; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 349 citations into it
- Evaluation & Benchmarks — 48 citations into it
Whom Gustavo Javier Fernandez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Gustavo Javier Fernandez's perspective
Ordered by how strongly the researchers Gustavo Javier Fernandez trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Et al
- Gradient-based learning applied to document recognition
- Object Detection with Discriminatively Trained Part Based Models
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- The Visual Object Tracking VOT2015 Challenge Results (2015) — 901 citations
- The Visual Object Tracking VOT2014 Challenge Results (2014) — 512 citations
- The Visual Object Tracking VOT2016 Challenge Results (2016) — 773 citations
- A Novel Performance Evaluation Methodology for Single-Target Trackers (2015) — 661 citations
- The Visual Object Tracking VOT2017 Challenge Results (2017) — 301 citations
- The Sixth Visual Object Tracking VOT2018 Challenge Results (2018) — 797 citations
- The Eighth Visual Object Tracking VOT2020 Challenge Results (2020) — 345 citations
- The Seventh Visual Object Tracking VOT2019 Challenge Results (2019) — 486 citations