Ignacio Rocco
Computer Vision and Pattern Recognition · 2017–2023
A researcher in the Science corpus: 4 papers; trusts 724 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 170 citations into it; #8,828 of 21,575 by trust here, #7,176 by citations
- Aerospace Engineering — 53 citations into it; #1,803 of 6,421 by trust here, #1,320 by citations
- Artificial Intelligence — 27 citations into it
- Model Architectures — 16 citations into it
- Media Technology — 15 citations into it
- Optimization & Training — 8 citations into it
- Evaluation & Benchmarks — 7 citations into it
- Information Retrieval & Search — 7 citations into it
Whom Ignacio Rocco trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Karen Simonyan
- Diederik P. Kingma
- Andrew Zisserman
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Ross B. Girshick
- Ilya Sutskever
- Yoshua Bengio
Who trusts Ignacio Rocco overall
- Jiayi Ma
- Juhong Min
- Xingyu Jiang
- Yuan-Ting Hu
- Eric Brachmann
- David Novotný
- Xintong Han
- Dahyun Kang
- Jun Yu
- Junyi Zhang
Papers from Ignacio Rocco's perspective
Ordered by how strongly the researchers Ignacio Rocco 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- 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
- Convolutional Neural Network Architecture for Geometric Matching (2017) — 586 citations
- Neighbourhood Consensus Networks (2018) — 445 citations
- D2-Net: A Trainable CNN for Joint Description and Detection of Local Features (2019) — 924 citations
- CoTracker: It is Better to Track Together (2023) — 618 citations