Search Results for author: Kohei Uehara

Found 7 papers, 1 papers with code

Advancing Large Multi-modal Models with Explicit Chain-of-Reasoning and Visual Question Generation

no code implementations18 Jan 2024 Kohei Uehara, Nabarun Goswami, Hanqin Wang, Toshiaki Baba, Kohtaro Tanaka, Tomohiro Hashimoto, Kai Wang, Rei Ito, Takagi Naoya, Ryo Umagami, Yingyi Wen, Tanachai Anakewat, Tatsuya Harada

The increasing demand for intelligent systems capable of interpreting and reasoning about visual content requires the development of Large Multi-Modal Models (LMMs) that are not only accurate but also have explicit reasoning capabilities.

Language Modelling Large Language Model +2

Learning by Asking Questions for Knowledge-based Novel Object Recognition

no code implementations12 Oct 2022 Kohei Uehara, Tatsuya Harada

Our pipeline consists of two components: the Object Classifier, which performs knowledge-based object recognition, and the Question Generator, which generates knowledge-aware questions to acquire novel knowledge.

Object Object Recognition +2

ViNTER: Image Narrative Generation with Emotion-Arc-Aware Transformer

no code implementations15 Feb 2022 Kohei Uehara, Yusuke Mori, Yusuke Mukuta, Tatsuya Harada

Image narrative generation is a task to create a story from an image with a subjective viewpoint.

Time Series Analysis

Unsupervised Keyword Extraction for Full-sentence VQA

no code implementations EMNLP (nlpbt) 2020 Kohei Uehara, Tatsuya Harada

In the majority of the existing Visual Question Answering (VQA) research, the answers consist of short, often single words, as per instructions given to the annotators during dataset construction.

Keyword Extraction Question Answering +2

Interactive Video Retrieval with Dialog

no code implementations7 May 2019 Sho Maeoki, Kohei Uehara, Tatsuya Harada

We propose a system to retrieve videos by asking questions about the content of the videos and leveraging the user's responses to the questions.

Retrieval Video Retrieval

Visual Question Generation for Class Acquisition of Unknown Objects

1 code implementation ECCV 2018 Kohei Uehara, Antonio Tejero-de-Pablos, Yoshitaka Ushiku, Tatsuya Harada

In this paper, we propose a method for generating questions about unknown objects in an image, as means to get information about classes that have not been learned.

Question Generation Question-Generation

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