Stepán Obdrzálek

Computer Vision and Pattern Recognition · 2012–2017

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it

Whom Stepán Obdrzálek trusts overall

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

1. Jan Smisek
2. Daniel Wagner
3. Michal Jancosek

Papers from Stepán Obdrzálek's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Indoor Segmentation and Support Inference from RGBD Images
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Going deeper with convolutions
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Distinctive Image Features from Scale-Invariant Keypoints
9. ImageNet Large Scale Visual Recognition Challenge
10. Long Short-Term Memory

Their papers

• T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-Less Objects (2017) — 598 citations
• Accuracy and robustness of Kinect pose estimation in the context of coaching of elderly population (2012) — 374 citations