GVGNet: Gaze-Directed Visual Grounding for Learning Under-Specified Object Referring Intention
Author:
Affiliation:
1. Key Laboratory of Measurement and Control of CSE, Ministry of Education, School of Automation, Southeast University, Nanjing, China
2. Research Center for Intelligent Robot, Zhejiang Lab, Hangzhou, China
Funder
Zhejiang Lab
Natural Science Foundation of Jiangsu Province
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/7083369/10185095/10202186.pdf?arnumber=10202186
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1. Learning Multimodal Confidence for Intention Recognition in Human-Robot Interaction;IEEE Robotics and Automation Letters;2024-09
2. Gaze-assisted visual grounding via knowledge distillation for referred object grasping with under-specified object referring;Engineering Applications of Artificial Intelligence;2024-07
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