Cristian Rodriguez-Opazo

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 704 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 131 citations into it; #19,328 of 21,575 by trust here, #10,334 by citations
• Artificial Intelligence — 95 citations into it; #31,499 of 35,345 by trust here, #16,471 by citations
• Multimodal Learning — 49 citations into it; #1,041 of 1,211 by trust here, #876 by citations
• Natural Language Processing — 38 citations into it
• Reinforcement Learning — 19 citations into it
• Model Architectures — 15 citations into it
• Human-Computer Interaction — 9 citations into it
• Representation & Self-Supervised Learning — 9 citations into it

Whom Cristian Rodriguez-Opazo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Yoshua Bengio
7. Karen Simonyan
8. Shaoqing Ren
9. Ilya Sutskever
10. Yann LeCun

Who trusts Cristian Rodriguez-Opazo overall

1. Gengze Zhou

Papers from Cristian Rodriguez-Opazo's perspective

Ordered by how strongly the researchers Cristian Rodriguez-Opazo trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• VLN↻BERT: A Recurrent Vision-and-Language BERT for Navigation (2020) — 464 citations
• Language and Visual Entity Relationship Graph for Agent Navigation (2020) — 161 citations
• Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison (2019) — 648 citations
• Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models (2021) — 373 citations