Parse, Align and Aggregate: Graph-Driven Compositional Reasoning for Video Question Answering.

Li J, Liao Z, Xiao F, Li T, Zhang Q, Zhao H, Niu L, Chen G, Zhang L, Jiang C

DOI: 10.1109/tpami.2026.3650864
Published: 2026 May
Container: IEEE transactions on pattern analysis and machine intelligence
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1109/tpami.2026.3650864,
  title = {Parse, Align and Aggregate: Graph-Driven Compositional Reasoning for Video Question Answering.},
  author = {Li J and Liao Z and Xiao F and Li T and Zhang Q and Zhao H and Niu L and Chen G and Zhang L and Jiang C},
  year = {2026},
  journal = {IEEE transactions on pattern analysis and machine intelligence},
  doi = {10.1109/tpami.2026.3650864},
  url = {https://doi.org/10.1109/tpami.2026.3650864}
}

RIS

TY  - JOUR
TI  - Parse, Align and Aggregate: Graph-Driven Compositional Reasoning for Video Question Answering.
AU  - Li J
AU  - Liao Z
AU  - Xiao F
AU  - Li T
AU  - Zhang Q
AU  - Zhao H
AU  - Niu L
AU  - Chen G
AU  - Zhang L
AU  - Jiang C
PY  - 2026
JO  - IEEE transactions on pattern analysis and machine intelligence
DO  - 10.1109/tpami.2026.3650864
UR  - https://doi.org/10.1109/tpami.2026.3650864
ER  -

APA

J, L., Z, L., F, X., T, L., Q, Z., H, Z., L, N., G, C., L, Z., & C, J. (2026). Parse, Align and Aggregate: Graph-Driven Compositional Reasoning for Video Question Answering.. IEEE transactions on pattern analysis and machine intelligence. https://doi.org/10.1109/tpami.2026.3650864

Source records

pubmed · retrieved 2026-09-25T01:24:13.621Z
europe-pmc · retrieved 2026-09-25T01:24:13.632Z