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School of Artificial Intelligence and Robotics, Hunan University
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HGeo-TopoMap achieves remarkable gains in topological mapping accuracy and robustness, tackling the elusive challenge of centerline detection in autonomous driving.
CylindTrack achieves superior identity preservation in panoramic multi-object tracking by effectively modeling depth consistency and leveraging the unique topology of equirectangular images.
Transforming point seeds into temporally consistent object instances, PS-Track sets a new benchmark in multi-object tracking without relying on traditional bounding box annotations.
Even simple event-based augmentation can rescue vision-language-action models from complete failure in low-light or high-blur scenarios, boosting task success from 0% to 90% in some cases.
Control your robot with sketches: AnyUser lets anyone command robots in the real world with intuitive free-form drawings, no coding required.
Autonomous vehicles can now better identify the unexpected, thanks to a new method that boosts out-of-distribution detection by up to 20% without retraining.
Achieve 57% lower depth reprojection error and 21% higher cycle inlier ratio for panoramic 3D scene reconstruction by directly modeling Gaussian Opacity Fields on the sphere.
Fisheye cameras can now see the world in 4D, thanks to a new benchmark and method that tackles the unique distortions of spherical projection for improved occupancy tracking.