Event-Based Monocular Depth Estimation With Recurrent Transformers-Reference-Cited by-同舟云学术

Event-Based Monocular Depth Estimation With Recurrent Transformers

Published:2024-08 Issue:8 Volume:34 Page:7417-7429
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Liu Xu¹^ORCID,Li Jianing²^ORCID,Shi Jinqiao³^ORCID,Fan Xiaopeng¹^ORCID,Tian Yonghong⁴^ORCID,Zhao Debin¹^ORCID

Affiliation:

1. Department of Computer Science and Technology, Research Center of Intelligent Interface and Human Computer Interaction, Harbin Institute of Technology, Harbin, China

2. School of Computer Science, Peking University, Beijing, China

3. School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China

4. Peng Cheng Laboratory, Shenzhen, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/76/10634006/10474340.pdf?arnumber=10474340

Reference61 articles.

1. Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

2. Neural Contourlet Network for Monocular 360° Depth Estimation

3. Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals

4. Estimating Depth From Monocular Images as Classification Using Deep Fully Convolutional Residual Networks

5. Joint Depth Estimation and Camera Shake Removal from Single Blurry Image

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