Jordi Salvador
Computer Vision and Pattern Recognition · 2015–2022
A researcher in the Science corpus: 7 papers; trusts 737 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 255 citations into it; #6,362 of 21,575 by trust here, #4,988 by citations
- Artificial Intelligence — 155 citations into it; #23,665 of 35,345 by trust here, #16,771 by citations
- Reinforcement Learning — 69 citations into it
- Control and Systems Engineering — 41 citations into it
- Computational Mechanics — 32 citations into it
- Media Technology — 22 citations into it; #2,136 of 3,621 by trust here, #2,820 by citations
- Biomedical Engineering — 9 citations into it
- Signal Processing — 6 citations into it
Whom Jordi Salvador trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Ross B. Girshick
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
- Karen Simonyan
- Andrew Zisserman
Who trusts Jordi Salvador overall
- Xiao-Jiao Mao
- Chunhua Shen
- Lijun Wang
- S. Gadre
- Luca Weihs
- Yubin Yang
- Matt Deitke
- Kiana Ehsani
- Mehdi S. M. Sajjadi
- Hongyu Wang
Papers from Jordi Salvador's perspective
Ordered by how strongly the researchers Jordi Salvador 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Objaverse: A Universe of Annotated 3D Objects (2022) — 1,762 citations
- RoboTHOR: An Open Simulation-to-Real Embodied AI Platform (2020) — 319 citations
- ProcTHOR: Large-Scale Embodied AI Using Procedural Generation (2022) — 516 citations
- AllenAct: A Framework for Embodied AI Research (2020) — 80 citations
- Naive Bayes Super-Resolution Forest (2015) — 118 citations
- Learning About Objects by Learning to Interact with Them (2020) — 18 citations
- PSyCo: Manifold Span Reduction for Super Resolution (2016) — 48 citations