Papers by Yasutomo Kawanishi

2 papers
J-CRe3: A Japanese Conversation Dataset for Real-world Reference Resolution (2024.lrec-main)

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Challenge: Existing studies have ground referential expressions in language to real-world objects for cooperative action generation.
Approach: They propose a Japanese Conversation dataset for real-world reference resolution that ground referential expressions to visual information observed in egocentric views.
Outcome: The proposed dataset contains egocentric video and dialogue audio of real-world conversations between two people acting as a master and assistant robot at home.
A Gaze-grounded Visual Question Answering Dataset for Clarifying Ambiguous Japanese Questions (2024.lrec-main)

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Challenge: Visual question answering (VQA) tasks are often based on directives, which can cause ambiguities in human utterances.
Approach: They propose a method that clarifies ambiguous questions using gaze information . they propose combining gaze information with gaze information to improve accuracy .
Outcome: The proposed method improves performance in some cases of a GazeVQA system on Gaze.

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