Chong Jing
1 indexed paper
Recent (6 mo)
1With code
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126
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Sound×1AI×1Multimedia×1
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Research Timeline
2026
EigeNet: Geometry-Informed Multi-Modal Learning for Few-shot Novel View RIR Prediction
EigeNet introduces a geometry-informed multi-modal Transformer framework to achieve state-of-the-art few-shot novel view Room Impulse Response (RIR) prediction by effectively integrating spatial geometry and multi-view acoustic context.
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