Prior Knowledge-driven Dynamic Scene Graph Generation with Causal Inference-Reference-Cited by-同舟云学术

Prior Knowledge-driven Dynamic Scene Graph Generation with Causal Inference

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Lu Jiale¹^ORCID,Chen Lianggangxu¹^ORCID,Song Youqi¹^ORCID,Lin Shaohui¹^ORCID,Wang Changbo¹^ORCID,He Gaoqi²^ORCID

Affiliation:

1. East China Normal University, Shanghai, China

2. East China Normal University & Chongqing Key Laboratory of Precision Optics, Shanghai, China

Funder

Shanghai Science and Technology Commission

the Open Project Program of the State Key Lab of CADCG

Natural Science Foundation Project of CQ

Shanghai Sailing Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3612249

Reference46 articles.

1. Unified Graph Structured Models for Video Understanding

2. Nicolas Ballas , Li Yao , Chris Pal , and Aaron Courville . 2015. Delving deeper into convolutional networks for learning video representations. arXiv preprint arXiv:1511.06432 ( 2015 ). Nicolas Ballas, Li Yao, Chris Pal, and Aaron Courville. 2015. Delving deeper into convolutional networks for learning video representations. arXiv preprint arXiv:1511.06432 (2015).

3. Elias Bareinboim Juan D Correa Duligur Ibeling and Thomas Icard. 2022. On Pearl's hierarchy and the foundations of causal inference. In Probabilistic and causal inference: the works of judea pearl. 507--556. Elias Bareinboim Juan D Correa Duligur Ibeling and Thomas Icard. 2022. On Pearl's hierarchy and the foundations of causal inference. In Probabilistic and causal inference: the works of judea pearl. 507--556.

4. Knowledge-Embedded Routing Network for Scene Graph Generation

5. (2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering