PanoGSDet projects panoramic 2D features into optimized semantic 3D Gaussians to generate accurate 3D bounding boxes, outperforming prior methods on the Structured3D dataset.
One flight over the gap: A survey from perspective to panoramic vision.arXiv preprint arXiv:2509.04444, 2025
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PanoWorld adds spherical spatial cross-attention and pano-native training data to MLLMs for improved spatial reasoning on ERP panoramas, outperforming baselines on new and existing benchmarks.
OmniTrack++ improves omnidirectional multi-object tracking with trajectory feedback through DynamicSSM stabilization, FlexiTrack instances, ExpertTrack Memory with Mixture-of-Experts, and adaptive Tracklet Management, achieving SOTA HOTA gains on JRDB and new EmboTrack benchmark.
citing papers explorer
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Towards Accurate Single Panoramic 3D Detection: A Semantic Gaussian Centric Approach
PanoGSDet projects panoramic 2D features into optimized semantic 3D Gaussians to generate accurate 3D bounding boxes, outperforming prior methods on the Structured3D dataset.
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PanoWorld: Towards Spatial Supersensing in 360$^\circ$ Panorama World
PanoWorld adds spherical spatial cross-attention and pano-native training data to MLLMs for improved spatial reasoning on ERP panoramas, outperforming baselines on new and existing benchmarks.
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OmniTrack++: Omnidirectional Multi-Object Tracking by Learning Large-FoV Trajectory Feedback
OmniTrack++ improves omnidirectional multi-object tracking with trajectory feedback through DynamicSSM stabilization, FlexiTrack instances, ExpertTrack Memory with Mixture-of-Experts, and adaptive Tracklet Management, achieving SOTA HOTA gains on JRDB and new EmboTrack benchmark.