ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2306.16533
  4. Cited By
ICSVR: Investigating Compositional and Syntactic Understanding in Video
  Retrieval Models
v1v2v3 (latest)

ICSVR: Investigating Compositional and Syntactic Understanding in Video Retrieval Models

28 June 2023
Avinash Madasu
Vasudev Lal
    CoGe
ArXiv (abs)PDFHTMLGithub (62★)

Papers citing "ICSVR: Investigating Compositional and Syntactic Understanding in Video Retrieval Models"

3 / 3 papers shown
Title
VideoComp: Advancing Fine-Grained Compositional and Temporal Alignment in Video-Text Models
VideoComp: Advancing Fine-Grained Compositional and Temporal Alignment in Video-Text Models
Dahun Kim
A. Piergiovanni
Ganesh Mallya
A. Angelova
CoGe
132
0
0
04 Apr 2025
Beyond Coarse-Grained Matching in Video-Text Retrieval
Beyond Coarse-Grained Matching in Video-Text Retrieval
Aozhu Chen
Hazel Doughty
Xirong Li
Cees G. M. Snoek
135
0
0
16 Oct 2024
NAVERO: Unlocking Fine-Grained Semantics for Video-Language
  Compositionality
NAVERO: Unlocking Fine-Grained Semantics for Video-Language Compositionality
Chaofan Tao
Gukyeong Kwon
Varad Gunjal
Hao Yang
Zhaowei Cai
Yonatan Dukler
Ashwin Swaminathan
R. Manmatha
Colin Jon Taylor
Stefano Soatto
CoGe
70
0
0
18 Aug 2024
1