Michael Herman
Computer Vision and Pattern Recognition · 2016–2019
A researcher in the Science corpus: 3 papers; trusts 227 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 61 citations into it
- Artificial Intelligence — 50 citations into it
- Automotive Engineering — 30 citations into it
- Reinforcement Learning — 16 citations into it
- Control and Systems Engineering — 14 citations into it
- Aerospace Engineering — 12 citations into it
Whom Michael Herman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Brian D. Ziebart
- Pieter Abbeel
- Geoffrey E. Hinton
- Andrew Y. Ng
- Radford M. Neal
- Ross B. Girshick
- Alex Krizhevsky
- Richard S. Sutton
- Karen Simonyan
- Yoshua Bengio
Who trusts Michael Herman overall
Papers from Michael Herman's perspective
Ordered by how strongly the researchers Michael Herman 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Human motion trajectory prediction: a survey (2019) — 905 citations
- Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics (2016) — 79 citations
- Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural Networks (2016) — 298 citations