Papers by Weixian Lei

2 papers
AssistSR: Task-oriented Video Segment Retrieval for Personal AI Assistant (2022.findings-emnlp)

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Challenge: Currently, personal AI assistants on the phone and AR glasses can assist our daily life in addressing our questions like "how to adjust the date for this watch?"
Approach: They propose a task that asks a question about affordance of items in our daily life . they construct a dataset that contains 3.2k multimodal questions on 1.6k video segments .
Outcome: The proposed task outperforms baseline methods while still having room for improvement in the future.
GazeVQA: A Video Question Answering Dataset for Multiview Eye-Gaze Task-Oriented Collaborations (2023.emnlp-main)

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Challenge: Existing studies on the use of exocentric and egocentric videos in video question answering are focusing on eye-gaze information.
Approach: They propose a task-oriented VQA dataset that captures eye-gaze information . they propose assisting models that ground the perceptual input into semantic information based on three different answer types .
Outcome: The proposed model can ground the perceptual input into semantic information while reducing ambiguities.

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