Papers by Pranav Arora

1 papers
Text-to-Multimodal Retrieval with Bimodal Input Fusion in Shared Cross-Modal Transformer (2024.lrec-main)

Copied to clipboard

Challenge: Multimodal video retrieval systems are needed for multimodal content retrieval . multimodal video search systems are sub-optimal for multi-modal content representations .
Approach: They propose a model that learns retrieval cues for the textual query from multiple modalities and a shared embedding space with task-specific contrastive loss functions.
Outcome: The proposed model outperforms state-of-the-art methods on the MSR-VTT and YouCook2 datasets and shows significant improvements from baseline.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations