13 citations · 19 across the 4 of their papers we have counts for
3 papers · 1 filter
Solving Instance Detection from an Open-World Perspective
Qianqian Shen, Yunhan Zhao, Nahyun Kwon +3
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…
AccessLens: Auto-detecting Inaccessibility of Everyday Objects
Nahyun Kwon, Qian Lu, Muhammad Hasham Qazi +4
In our increasingly diverse society, everyday physical interfaces often present barriers, impacting individuals across various contexts. This oversight, from small cabinet knobs to…
A High-Resolution Dataset for Instance Detection with Multi-View Instance Capture
Qianqian Shen, Yunhan Zhao, Nahyun Kwon +3
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.…