64 citations · 72 across the 11 of their papers we have counts for
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cs.CV2026
Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling
Qinfeng Zhu, Lei Fan
Panoramic images capture the full visual sphere in a frame, offering context unavailable to conventional cameras. Yet this completeness has an unavoidable geometric cost: the 2-sph…
cs.CV2026
A generalised pre-training strategy for deep learning networks in semantic segmentation of remotely sensed images
Yuan Fang, Yuanzhi Cai, Jagannath Aryal +4
In the segmentation of remotely sensed images, deep learning models are typically pre-trained using large image databases like ImageNet before fine-tuned on domain-specific dataset…
cs.CV2026
SO3UFormer: Learning Intrinsic Spherical Features for Rotation-Robust Panoramic Dense Prediction
Qinfeng Zhu, Yunxi Jiang, Lei Fan
Panoramic dense-prediction models, spanning semantic segmentation and depth estimation, are typically trained under a strict gravity-aligned assumption. Real-world captures, howeve…