Search Results for author: Selen Pehlivan

Found 2 papers, 0 papers with code

PiTL: Cross-modal Retrieval with Weakly-supervised Vision-language Pre-training via Prompting

no code implementations14 Jul 2023 Zixin Guo, Tzu-Jui Julius Wang, Selen Pehlivan, Abduljalil Radman, Jorma Laaksonen

To further reduce the amount of supervision, we propose Prompts-in-The-Loop (PiTL) that prompts knowledge from large language models (LLMs) to describe images.

Cross-Modal Retrieval Object +1

Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models

no code implementations18 Aug 2020 Tzu-Jui Julius Wang, Selen Pehlivan, Jorma Laaksonen

Recent scene graph generation (SGG) models have shown their capability of capturing the most frequent relations among visual entities.

Graph Generation Scene Graph Generation +1

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