Nahyun Kwon — accepted AI-conference papers

2025

Solving Instance Detection from an Open-World Perspective

Qianqian Shen, Yunhan Zhao, Nahyun Kwon, Jeeeun Kim, Yanan Li, Shu Kong

CVPR 2025poster

Instance detection (InsDet) aims to localize specific object instances within a novel scene imagery based on given visual references. Technically, it requires proposal detection to identify all possible object instances, followed by instance-level matching to pinpoint the ones of interest. Its open-…

Cited by 1 Source ↗PDF ↗Scholar ↗

2023

A High-Resolution Dataset for Instance Detection with Multi-View Object Capture

QIANQIAN SHEN, Yunhan Zhao, Nahyun Kwon, Jeeeun Kim, Yanan Li, Shu Kong

NeurIPS 2023poster

Instance detection (InsDet) is a long-lasting problem in robotics and computer vision, aiming to detect object instances (predefined by some visual examples) in a cluttered scene. Despite its practical significance, its advancement is overshadowed by Object Detection, which aims to detect objects be…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗