Stéphane Marchand-Maillet

Computer Vision and Pattern Recognition · 2001–2020

A researcher in the Science corpus: 2 papers; trusts 80 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it; #18,010 of 21,575 by trust here, #14,151 by citations
• Artificial Intelligence — 29 citations into it
• Multimodal Learning — 26 citations into it
• Natural Language Processing — 10 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Stéphane Marchand-Maillet trusts overall

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

1. Li Fei-Fei
2. Ross B. Girshick
3. Kaiming He
4. Andrew Zisserman
5. Devi Parikh
6. Shaoqing Ren
7. Alex Krizhevsky
8. Jitendra Malik
9. Trevor Darrell
10. Karen Simonyan

Who trusts Stéphane Marchand-Maillet overall

1. Shiv Ram Dubey

Papers from Stéphane Marchand-Maillet's perspective

Ordered by how strongly the researchers Stéphane Marchand-Maillet trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Microsoft COCO: Common Objects in Context
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Gradient-based learning applied to document recognition
10. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Their papers

• Performance evaluation in content-based image retrieval: overview and proposals (2001) — 658 citations
• Fine-Grained Visual Textual Alignment for Cross-Modal Retrieval Using Transformer Encoders (2020) — 169 citations