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Showing papers from Institute of AI for Industries, Chinese Academy of Sciences Show all papers

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D-GAP: Improving Out-of-Domain Robustness via Dataset-Agnostic and Gradient-Guided Augmentation in Amplitude and Pixel Spaces

Ruoqi Wang, Haitao Wang, Shaojie Guo, Qiong Luo

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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2/20 AI panelreviewers recommend it

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lenient 1/5
medium 1/10
strict 0/5
70%Highly rated
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VVTRec: Radio Interferometric Reconstruction through Visual and Textual Modality Enrichment

VVTRec uses visual and textual visibility enrichment with vision-language models to reduce artifacts and improve radio interferometric image reconstruction.

Kai Cheng, Ruoqi Wang, Qiong Luo

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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4/20 AI panelreviewers recommend it

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AI panel: 4 of 20 reviewers recommend it
lenient 3/5
medium 1/10
strict 0/5