Sangjun Noh

According to our database, Sangjun Noh authored at least 7 papers between 2020 and 2024.

Collaborative distances:

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

2024

Learning to Place Unseen Objects Stably Using a Large-Scale Simulation.

Sangjun Noh, Raeyoung Kang, Taewon Kim, Seunghyeok Back, Seongho Bak, Kyoobin Lee

IEEE Robotics Autom. Lett., 2024

GraspSAM: When Segment Anything Model Meets Grasp Detection.

Sangjun Noh, Jongwon Kim, Dongwoo Nam, Seunghyeok Back, Raeyoung Kang, Kyoobin Lee

CoRR, 2024

Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation.

Yeonguk Yu, Sungho Shin, Seunghyeok Back, Minhwan Ko, Sangjun Noh, Kyoobin Lee

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

2023

Probability propagation for faster and efficient point cloud segmentation using a neural network.

Hogeon Seo, Sangjun Noh, Sungho Shin, Kyoobin Lee

Pattern Recognit. Lett., 2023

PolyFit: A Peg-in-hole Assembly Framework for Unseen Polygon Shapes via Sim-to-real Adaptation.

Geonhyup Lee, Joosoon Lee, Sangjun Noh, Minhwan Ko, Kangmin Kim, Kyoobin Lee

CoRR, 2023

2022

Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling.

Seunghyeok Back, Joosoon Lee, Taewon Kim, Sangjun Noh, Raeyoung Kang, Seongho Bak, Kyoobin Lee

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2020

Automatic Detection and Identification of Fasteners with Simple Visual Calibration using Synthetic Data.

Sangjun Noh, Seunghyeok Back, Raeyoung Kang, Sungho Shin, Kyoobin Lee

Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020