Guillermo Gallego
Electrical and Electronic Engineering · Int. J. Robotics Res. · 2016–2019
A researcher in the Science corpus: 6 papers; trusts 40 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 64 citations into it; #2,273 of 16,539 by trust here, #5,257 by citations
- Computer Vision and Pattern Recognition — 47 citations into it; #20,550 of 21,575 by trust here, #15,529 by citations
- Aerospace Engineering — 23 citations into it; #1,601 of 6,421 by trust here, #1,815 by citations
- Cognitive Neuroscience — 22 citations into it; #9,989 of 10,852 by trust here, #7,348 by citations
- Cellular and Molecular Neuroscience — 15 citations into it
- Artificial Intelligence — 13 citations into it
- Geology — 8 citations into it
- Biomedical Engineering — 7 citations into it
Whom Guillermo Gallego trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Henri Rebecq
- Davide Scaramuzza
- Zhengyou Zhang
- Alex Zihao Zhu
- Patrick Bardow
- Garrick Orchard
- Stefan Leutenegger
- Tobi Delbruck
- Andrew J. Davison
- A. Vidal
Who trusts Guillermo Gallego overall
- Henri Rebecq
- Daniel Gehrig
- Davide Scaramuzza
- Tobi Delbruck
- Antonio Loquercio
- René Ranftl
- Tong Qin
- Yuhuang Hu
- Man Yao
- Garrick Orchard
Papers from Guillermo Gallego's perspective
Ordered by how strongly the researchers Guillermo Gallego 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars (2018) — 616 citations
- The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and SLAM (2016) — 735 citations
- EVO: A Geometric Approach to Event-Based 6-DOF Parallel Tracking and Mapping in Real Time (2017) — 406 citations
- EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames (2018) — 330 citations
- A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation (2018) — 434 citations
- Event-Based Vision: A Survey (2019) — 2,710 citations