SubdivAR reformulates neural mesh subdivision as autoregressive next-scale coordinate prediction with a topology-aware transformer and reports 18.8% and 14.2% reductions in Hausdorff and Chamfer distance over baselines on a new 40K-mesh dataset.
Cross-Domain Federated Object Detection
3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
Releases a publicly available, collocated multi-sensor dataset of Landsat, Sentinel-1, GOES-R and microwave observations for urban heat studies across 48 cities.
Decision-level fusion with WBF outperforms feature-level fusion for occlusion-robust detection on ultra-low-end hardware, with gains up to +0.3827 mAP across three views and on-device execution on Coral boards.
citing papers explorer
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SubdivAR: Autoregressive Next-Scale Prediction for Neural Mesh Subdivision
SubdivAR reformulates neural mesh subdivision as autoregressive next-scale coordinate prediction with a topology-aware transformer and reports 18.8% and 14.2% reductions in Hausdorff and Chamfer distance over baselines on a new 40K-mesh dataset.
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Urban Heat MiniCubes: An AI-Ready dataset for urban heat research
Releases a publicly available, collocated multi-sensor dataset of Landsat, Sentinel-1, GOES-R and microwave observations for urban heat studies across 48 cities.
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Tiny Collaborative Inference for Occlusion-Robust Object Detection
Decision-level fusion with WBF outperforms feature-level fusion for occlusion-robust detection on ultra-low-end hardware, with gains up to +0.3827 mAP across three views and on-device execution on Coral boards.