Kailun Yang

CoRef-GS is proposed, a cooperative referring Gaussian splatting framework that constructs local open-vocabulary instance-aware Gaussian maps, then aligns partially overlapping maps with a cross-agent alignment module by geometric and semantic consistency, and grounds queries using a view-conditioned mask relation graph.

OmniMimic, a training framework that turns directionally limited animal demonstrations into a single multi-gait policy over target per-axis velocity ranges, and uses a shared actor with soft-gated, gait-specialized residual experts to balance reusable locomotion skills with gait-specific corrections.

Results show that the multi-agent design of RoboFind fits the demands of personalized object search, where verifying object identity before declaring completion is what makes the outcome something a user can rely on.

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.

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.

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.