Kwang Moo Yi

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Papers (11)

1. Semantic Foam: Unifying Spatial and Semantic Scene Decomposition cs.CV · 2026 · author #6
2. Power Foam: Unifying Real-Time Differentiable Ray Tracing and Rasterization cs.GR · 2026 · author #4
3. Self-Supervised Deep Active Accelerated MRI cs.CV · 2019 · author #3
4. LF-Net: Learning Local Features from Images cs.CV · 2018 · author #4
5. Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses cs.CV · 2018 · author #2
6. Learning to Find Good Correspondences cs.CV · 2017 · author #1
7. HandSeg: An Automatically Labeled Dataset for Hand Segmentation from Depth Images cs.CV · 2017 · author #7
8. Authoring and Living Next-Generation Location-Based Experiences cs.HC · 2017 · author #4
9. LIFT: Learned Invariant Feature Transform cs.CV · 2016 · author #1
10. Learning to Assign Orientations to Feature Points cs.CV · 2015 · author #1
11. TILDE: A Temporally Invariant Learned DEtector cs.CV · 2014 · author #2

Mentions

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Frequent Coauthors

• Pascal Fua 6 shared papers
• Vincent Lepetit 5 shared papers
• Andrea Tagliasacchi 3 shared papers
• Eduard Trulls 3 shared papers
• Daniel Rebain 2 shared papers
• Mathieu Salzmann 2 shared papers
• Shrisudhan Govindarajan 2 shared papers
• Yannick Verdie 2 shared papers
• Yuki Ono 2 shared papers
• Abhishake Kumar Bojja 1 shared papers
• Amr Sharafeldin 1 shared papers
• Angelos Katsis 1 shared papers
• Anish Prabhu 1 shared papers
• Aryan Mikaeili 1 shared papers
• Boriana Koleva 1 shared papers
• Christian Theobalt 1 shared papers
• Dor Verbin 1 shared papers
• Fei Wang 1 shared papers
• Franziska Mueller 1 shared papers
• Jens Grubert 1 shared papers