Georgia Gkioxari
Computer Vision and Pattern Recognition · with Batra · 2017–2019
A researcher in the Science corpus: 6 papers; trusts 457 researchers and is trusted by 551 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 163 citations into it; #1,807 of 21,575 by trust here, #2,273 by citations
- Artificial Intelligence — 152 citations into it; #3,634 of 35,345 by trust here, #3,246 by citations
- Reinforcement Learning — 116 citations into it; #415 of 2,242 by trust here, #326 by citations
- Aerospace Engineering — 53 citations into it
- Natural Language Processing — 43 citations into it
- Control and Systems Engineering — 27 citations into it
- Robotics & Control — 23 citations into it
- Multimodal Learning — 20 citations into it; #574 of 1,211 by trust here, #399 by citations
Whom Georgia Gkioxari trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Sergey Levine
- Yoshua Bengio
- Yann LeCun
- Richard S. Sutton
- Andrew Y. Ng
- Ronald J. Williams
Who trusts Georgia Gkioxari overall
- Xin Ye
- Daniel Gordon
- Jesse Thomason
- Abhishek Das
- Yezhou Yang
- Unnat Jain
- Licheng Yu
- Erik Wijmans
- Jiafei Duan
- Yi Wu
Papers from Georgia Gkioxari's perspective
Ordered by how strongly the researchers Georgia Gkioxari 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
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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
- Embodied Question Answering (2017) — 794 citations
- Building Generalizable Agents with a Realistic and Rich 3D Environment (2018) — 361 citations
- Neural Modular Control for Embodied Question Answering (2018) — 147 citations
- Embodied Question Answering in Photorealistic Environments With Point Cloud Perception (2019) — 205 citations
- Bayesian Relational Memory for Semantic Visual Navigation (2019) — 117 citations
- Multi-Target Embodied Question Answering (2019) — 135 citations