10 citations · 16 across the 7 of their papers we have counts for
7 papers
CS-CLIP: Compositional Scene Graph-guided CLIP for Robust Compositional Reasoning
SeongJun Jeong, Minjoon Jung, Woo Suk Choi +2
Vision-language models (VLMs) demonstrate strong performance across compositional reasoning benchmarks, which require reasoning over semantic perturbations of objects, attributes,…
Instruction-tuned Self-Questioning Framework for Multimodal Reasoning
You-Won Jang, Yu-Jung Heo, Jaeseok Kim +3
The field of vision-language understanding has been actively researched in recent years, thanks to the development of Large Language Models~(LLMs). However, it still needs help wit…
Confidence-guided Refinement Reasoning for Zero-shot Question Answering
Youwon Jang, Woo Suk Choi, Minjoon Jung +2
We propose Confidence-guided Refinement Reasoning (C2R), a novel training-free framework applicable to question-answering (QA) tasks across text, image, and video domains. C2R stra…
Background-aware Moment Detection for Video Moment Retrieval
Minjoon Jung, Youwon Jang, Seongho Choi +3
Video moment retrieval (VMR) identifies a specific moment in an untrimmed video for a given natural language query. This task is prone to suffer the weak alignment problem innate i…
Learning to Write with Coherence From Negative Examples
Seonil Son, Jaeseo Lim, Youwon Jang +2
Coherence is one of the critical factors that determine the quality of writing. We propose writing relevance (WR) training method for neural encoder-decoder natural language genera…
Mounting Video Metadata on Transformer-based Language Model for Open-ended Video Question Answering
Donggeon Lee, Seongho Choi, Youwon Jang +1
Video question answering has recently received a lot of attention from multimodal video researchers. Most video question answering datasets are usually in the form of multiple-choi…
DramaQA: Character-Centered Video Story Understanding with Hierarchical QA
Seongho Choi, Kyoung-Woon On, Yu-Jung Heo +4
Despite recent progress on computer vision and natural language processing, developing a machine that can understand video story is still hard to achieve due to the intrinsic diffi…