Micael E. Tchapmi

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Micael E. Tchapmi trusts

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

  1. Silvio Savarese (in Computer Vision and Pattern Recognition)
  2. Jitendra Malik (in Computer Vision and Pattern Recognition)
  3. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  4. Morgan Quigley (in Robotics & Control)
  5. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  6. Kaiming He (in Computer Vision and Pattern Recognition)
  7. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  8. Fei Xia (in Computer Vision and Pattern Recognition)
  9. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  10. David G. Lowe (in Computer Vision and Pattern Recognition)

Papers from Micael E. Tchapmi's perspective

Ordered by how strongly the researchers Micael E. Tchapmi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Proximal Policy Optimization Algorithms (arXiv.org)
  2. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  3. MuJoCo: A physics engine for model-based control
  4. End-to-End Training of Deep Visuomotor Policies
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  7. ImageNet classification with deep convolutional neural networks
  8. Benchmarking Deep Reinforcement Learning for Continuous Control
  9. OpenAI Gym
  10. ShapeNet: An Information-Rich 3D Model Repository

Their papers