Shuhan Tan
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 24 citations into it
Whom Shuhan Tan trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Raquel Urtasun (in Computer Vision and Pattern Recognition)
Papers from Shuhan Tan's perspective
Ordered by how strongly the researchers Shuhan Tan trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- Playing Atari with Deep Reinforcement Learning (arXiv.org)
- Are we ready for autonomous driving? The KITTI vision benchmark suite
- MuJoCo: A physics engine for model-based control
- The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes
- ALVINN, an autonomous land vehicle in a neural network
- ViZDoom: A Doom-based AI research platform for visual reinforcement learning
- On Calibration of Modern Neural Networks
- CARLA: An Open Urban Driving Simulator
Their papers
- LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World (2020) — 300 citations