6 citations · 7 across the 6 of their papers we have counts for
6 papers · 1 filter
Generating a Paracosm for Training-Free Zero-Shot Composed Image Retrieval
Tong Wang, Yunhan Zhao, Shu Kong
Composed Image Retrieval (CIR) is the task of retrieving a target image from a database using a multimodal query, which consists of a reference image and a modification text. The t…
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…
Instance Tracking in 3D Scenes from Egocentric Videos
Yunhan Zhao, Haoyu Ma, Shu Kong +1
Egocentric sensors such as AR/VR devices capture human-object interactions and offer the potential to provide task-assistance by recalling 3D locations of objects of interest in th…
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.…
Prompting Scientific Names for Zero-Shot Species Recognition
Shubham Parashar, Zhiqiu Lin, Yanan Li +1
Trained on web-scale image-text pairs, Vision-Language Models (VLMs) such as CLIP can recognize images of common objects in a zero-shot fashion. However, it is underexplored how to…