Papers by Hongshun Qiu

2 papers
AudioVSR: Enhancing Video Speech Recognition with Audio Data (2024.emnlp-main)

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Challenge: Recent work has shown poor performance with non-Indo-European languages . previous work primarily utilizes video information to build VSR models .
Approach: They propose a generative model for data inflation that integrates synthetic data with authentic visual data to enhance the VSR model.
Outcome: The proposed model improves on the audio-visual alignment problem in audio-video tasks.
BrainLoc: Brain Signal-Based Object Detection with Multi-modal Alignment (2025.findings-emnlp)

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Challenge: BrainLoc is a lightweight object detection model guided by fMRI signals.
Approach: They propose a brain-based object detection model guided by fMRI signals . they employ a multi-modal alignment strategy that enhances fmr feature extraction .
Outcome: The proposed model improves fMRI-based object detection accuracy and convenience.

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