Andrei Barbu
Computer Vision and Pattern Recognition · 2012–2020
A researcher in the Science corpus: 6 papers; trusts 289 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 86 citations into it; #12,768 of 21,575 by trust here, #3,909 by citations
- Artificial Intelligence — 60 citations into it
- Natural Language Processing — 29 citations into it
- Multimodal Learning — 16 citations into it
- Safety, Robustness & Interpretability — 9 citations into it
- Biomedical Engineering — 6 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
Whom Andrei Barbu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Ross B. Girshick
- Pedro F. Felzenszwalb
- Karen Simonyan
- Andrew Zisserman
- Ilya Sutskever
- Yoshua Bengio
- David G. Lowe
Who trusts Andrei Barbu overall
- Haonan Yu
- Chen Sun
- Ali Borji
- Marcus Rohrbach
- Hieu Pham
- Jeff Donahue
- Xiaohua Zhai
- Michael Matena
- Trevor Darrell
- Jeffrey Mark Siskind
Papers from Andrei Barbu's perspective
Ordered by how strongly the researchers Andrei Barbu 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- 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
- ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models (2019) — 692 citations
- Video In Sentences Out (2012) — 157 citations
- Grounding language acquisition by training semantic parsers using captioned videos (2018) — 17 citations
- Measuring Social Biases in Grounded Vision and Language Embeddings (2020) — 73 citations
- Recognize Human Activities from Partially Observed Videos (2013) — 202 citations
- Seeing What You're Told: Sentence-Guided Activity Recognition in Video (2013) — 41 citations