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Jeeeun Kim

3 accepted papers

2025

Solving Instance Detection from an Open-World Perspective

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 1SourcePDFScholar
2023

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

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…