Depth and Video Segmentation Based Visual Attention for Embodied Question Answering-Reference-Cited by-同舟云学术

Depth and Video Segmentation Based Visual Attention for Embodied Question Answering

Author:

Luo Haonan¹^ORCID,Lin Guosheng²^ORCID,Yao Yazhou¹^ORCID,Liu Fayao³^ORCID,Liu Zichuan²,Tang Zhenmin¹^ORCID

Affiliation:

1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China

2. School of Computer Science and Engineering, Nanyang Technological University, Singapore

3. Institute for Infocomm Research A*STAR, Singapore

Funder

National Research Foundation, Singapore

MOE Tier-1

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Fundamental Research Funds for the Central Universities

National Key R&D Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

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