OVOW reconstructs instance-level, simulation-ready 4D mesh scenes from monocular video via a four-stage training-free pipeline and introduces a new benchmark for structured Video-to-4D evaluation.
Communi- cations of the ACM24(6), 381–395 (1981)
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AnyMatch synthesizes large-scale geometrically consistent multi-modal image pairs from single-view images, enabling fine-tuned matching networks to achieve substantial gains on benchmarks.
A retrieval-based framework using foundation models for pose-aware correspondence to estimate population-level wildlife body proportions from unconstrained images, with reported 10-20% median relative errors on bird and amphibian datasets.
A point-proposal plus robust line-fitting pipeline estimates bone angles in three pediatric tasks with mean errors of 4.1°, 5.4° and 5.51° while staying inside clinical observer variability and beating landmark baselines.
GNC-Pose achieves competitive 6D pose accuracy on the YCB dataset for textured objects using only geometric priors, rendering initialization, and robust GNC optimization without any learned features or training data.
citing papers explorer
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One Video, One World: Turning Monocular Video into Physical 4D Scenes
OVOW reconstructs instance-level, simulation-ready 4D mesh scenes from monocular video via a four-stage training-free pipeline and introduces a new benchmark for structured Video-to-4D evaluation.
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AnyMatch: Supercharging Universal Multi-Modal Image Matching with Large-Scale Single-View Images
AnyMatch synthesizes large-scale geometrically consistent multi-modal image pairs from single-view images, enabling fine-tuned matching networks to achieve substantial gains on benchmarks.
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WildProp: Visual Estimation of Wildlife Body Proportions at Scale
A retrieval-based framework using foundation models for pose-aware correspondence to estimate population-level wildlife body proportions from unconstrained images, with reported 10-20% median relative errors on bird and amphibian datasets.
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A New Angle on Bones: Robust Pose Estimation in X-Ray and Ultrasound
A point-proposal plus robust line-fitting pipeline estimates bone angles in three pediatric tasks with mean errors of 4.1°, 5.4° and 5.51° while staying inside clinical observer variability and beating landmark baselines.
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GNC-Pose: Geometry-Aware GNC-PnP for Accurate 6D Pose Estimation
GNC-Pose achieves competitive 6D pose accuracy on the YCB dataset for textured objects using only geometric priors, rendering initialization, and robust GNC optimization without any learned features or training data.