Kent Vainio
Computer Vision and Pattern Recognition · 2020–2021
A researcher in the Science corpus: 4 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 110 citations into it
- Artificial Intelligence — 103 citations into it
- Reinforcement Learning — 84 citations into it
- Robotics & Control — 66 citations into it
Whom Kent Vainio trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Jitendra Malik (in Computer Vision and Pattern Recognition)
- Silvio Savarese (in Computer Vision and Pattern Recognition)
- Sergey Levine (in Artificial Intelligence)
- Morgan Quigley (in Robotics & Control)
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- Pieter Abbeel (in Artificial Intelligence)
- Li Fei-Fei (in Computer Vision and Pattern Recognition)
- Alex Krizhevsky (in Computer Vision and Pattern Recognition)
Papers from Kent Vainio's perspective
Ordered by how strongly the researchers Kent Vainio trusts endorse each paper. Same corpus, a different order for every researcher.
- Proximal Policy Optimization Algorithms (arXiv.org)
- MuJoCo: A physics engine for model-based control
- Continuous control with deep reinforcement learning (International Conference on Learning Representations)
- End-to-End Training of Deep Visuomotor Policies
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- OpenAI Gym
- ShapeNet: An Information-Rich 3D Model Repository
- Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor (International Conference on Machine Learning)
Their papers
- BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments (2021) — 255 citations
- iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks (2021) — 329 citations
- iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes (2020) — 246 citations
- iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes (2020) — 57 citations