Stanislaw Antol
Computer Vision and Pattern Recognition · 2014–2016
A researcher in the Science corpus: 4 papers; trusts 536 researchers and is trusted by 1,825 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 134 citations into it; #934 of 21,575 by trust here, #736 by citations
- Artificial Intelligence — 80 citations into it; #1,235 of 35,345 by trust here, #905 by citations
- Multimodal Learning — 48 citations into it; #83 of 1,211 by trust here, #51 by citations
- Natural Language Processing — 38 citations into it
- Evaluation & Benchmarks — 16 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Natural Language Generation — 5 citations into it
Whom Stanislaw Antol trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Deva Ramanan
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Kaiming He
- Yi Yang
- Ross B. Girshick
- Diederik P. Kingma
- Andrew Zisserman
Who trusts Stanislaw Antol overall
- Qi Wu
- Devi Parikh
- Kushal Kafle
- Damien Teney
- Xiaoyu Lin
- Jiasen Lu
- Dhruv Batra
- Zhe Gan
- Mohit Bansal
- Aishwarya Agrawal
Papers from Stanislaw Antol's perspective
Ordered by how strongly the researchers Stanislaw Antol 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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
- VQA: Visual Question Answering (2015) — 6,567 citations
- Zero-Shot Learning via Visual Abstraction (2014) — 88 citations
- Measuring Machine Intelligence Through Visual Question Answering (2016) — 38 citations
- Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes (2016) — 31 citations