Good Papers

Showing papers from Rakuten Group Show all papers

45%Niche pick
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RAWild: Toward Sensor-Agnostic RAW Object Detection via Physics-Guided Curve and Grid Modeling

Shuhong Liu, Gengjia Chang, Jun Liu, Xuangeng Chu and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
78%Highly rated
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FluxFlow: Conservative Flow-Matching for Astronomical Image Super-Resolution

FluxFlow uses conservative flow matching with observation uncertainty and Wiener-regularized correction for ground-to-space astronomical super-resolution, outperforming baselines on real DESI-HST pairs.

Shuhong Liu, Xining Ge, quanfeng xu, Ziteng Cui and 8 more

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

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 1/5
78%Highly rated
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POP: Online Structural Pruning Enables Efficient Inference of Large Foundation Models

POP enables context-conditioned online structural pruning of foundation models via coarse-to-fine partitioned masking without offline calibration or retraining, improving accuracy with lower latency.

Yi Chen, Wonjin Shin, Shuhong Liu, Tho Mai and 5 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5