Sungphill Moon

According to our database, Sungphill Moon authored at least 5 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

BOP Challenge 2024 on Model-Based and Model-Free 6D Object Pose Estimation.

Van Nguyen Nguyen, Stephen Tyree, Andrew Guo, Mederic Fourmy, Anas Gouda, Taeyeop Lee, Sungphill Moon, Hyeontae Son, Lukas Ranftl, Jonathan Tremblay, Eric Brachmann, Bertram Drost, Vincent Lepetit, Carsten Rother, Stan Birchfield, Jiri Matas, Yann Labbé, Martin Sundermeyer, Tomas Hodan

CoRR, April, 2025

Co-op: Correspondence-based Novel Object Pose Estimation.

Sungphill Moon, Hyeontae Son, Dongcheol Hur, Sangwook Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

GenFlow: Generalizable Recurrent Flow for 6D Pose Refinement of Novel Objects.

Sungphill Moon, Hyeontae Son, Dongcheol Hur, Sangwook Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2016

Tracking Human-like Natural Motion Using Deep Recurrent Neural Networks.

Youngbin Park, Sungphill Moon, Il Hong Suh

CoRR, 2016

Predicting Multiple Pregrasping Poses by Combining Deep Convolutional Neural Networks with Mixture Density Networks.

Sungphill Moon, Youngbin Park, Il Hong Suh

Proceedings of the Neural Information Processing - 23rd International Conference, 2016