most citedOmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation

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cs.CV2026

Spheriverse: 3D Scene Understanding from Spherical Observations in the Wild

Fei Teng, Sheng Wu, Mengfei Duan +7

Spherical observations provide global visual context for 3D scene understanding. However, visual information is encoded in an angular domain, whereas the physical world is represen…

cs.CV2026

Spherical-GOF: Geometry-Aware Panoramic Gaussian Opacity Fields for 3D Scene Reconstruction

Zhe Yang, Guoqiang Zhao, Sheng Wu +2

Omnidirectional images are increasingly used in robotics and vision due to their wide field of view. However, extending 3D Gaussian Splatting (3DGS) to panoramic camera models rema…

cs.CV2025

OmniTrack++: Omnidirectional Multi-Object Tracking by Learning Large-FoV Trajectory Feedback

Kai Luo, Hao Shi, Kunyu Peng +4

To address panoramic distortion, large search space, and identity ambiguity under a 360° FoV, OmniTrack++ adopts a feedback-driven framework that progressively refines perception w…

cs.CV2025

Hallucinating 360°: Panoramic Street-View Generation via Local Scenes Diffusion and Probabilistic Prompting

Fei Teng, Kai Luo, Sheng Wu +6

Panoramic perception holds significant potential for autonomous driving, enabling vehicles to acquire a comprehensive 360° surround view in a single shot. However, autonomous drivi…

cs.CV2025

Omnidirectional Multi-Object Tracking

Kai Luo, Hao Shi, Sheng Wu +6

Panoramic imagery, with its 360° field of view, offers comprehensive information to support Multi-Object Tracking (MOT) in capturing spatial and temporal relationships of surroundi…

cs.CV2025★ 1 cited

OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation

Ding Zhong, Xu Zheng, Chenfei Liao +5

Segment Anything Model 2 (SAM2) has emerged as a strong base model in various pinhole imaging segmentation tasks. However, when applying it to domain, the significant f…