activity
20182025
most citedInteractive Image Manipulation with Natural Language Instruction Commands

11 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2025★ 1 cited

Metropolis-Hastings Captioning Game: Knowledge Fusion of Vision Language Models via Decentralized Bayesian Inference

Yuta Matsui, Ryosuke Yamaki, Ryo Ueda +2

We propose the Metropolis-Hastings Captioning Game (MHCG), a method to fuse knowledge of multiple vision-language models (VLMs) by learning from each other. Although existing metho…

cs.CV2023

Pointing out Human Answer Mistakes in a Goal-Oriented Visual Dialogue

Ryosuke Oshima, Seitaro Shinagawa, Hideki Tsunashima +2

Effective communication between humans and intelligent agents has promising applications for solving complex problems. One such approach is visual dialogue, which leverages multimo…

cs.CL2023★ 2 cited

Modeling Multiple User Interests using Hierarchical Knowledge for Conversational Recommender System

Yuka Okuda, Katsuhito Sudoh, Seitaro Shinagawa +1

A conversational recommender system (CRS) is a practical application for item recommendation through natural language conversation. Such a system estimates user interests for appro…

cs.CV2022

Community-Driven Comprehensive Scientific Paper Summarization: Insight from cvpaper.challenge

Shintaro Yamamoto, Hirokatsu Kataoka, Ryota Suzuki +2

The present paper introduces a group activity involving writing summaries of conference proceedings by volunteer participants. The rapid increase in scientific papers is a heavy bu…

cs.CV2018★ 11 cited

Interactive Image Manipulation with Natural Language Instruction Commands

Seitaro Shinagawa, Koichiro Yoshino, Sakriani Sakti +2

We propose an interactive image-manipulation system with natural language instruction, which can generate a target image from a source image and an instruction that describes the d…