activity
20232026
most cited360 Layout Estimation via Orthogonal Planes Disentanglement and Multi-view Geometric Consistency Perception

3 citations · 3 across the 7 of their papers we have counts for

collaborators

9 papers

cs.CV2026

Decoupling Spherical Reasoning from Dense Prediction for 360 Depth Estimation

Zhijie Shen, Chunyu Lin, Shuai Zheng +4

The equirectangular projection (ERP) is widely used for panoramic depth estimation, but its spatially varying distortion makes geometry-consistent feature modeling challenging. We…

cs.CV2026

SphereSOD: Geometry-Structure Coupled Learning for 360 Salient Object Detection

Junsong Zhang, Zhijie Shen, Shuai Zheng +4

360° salient object detection (SOD) aims to accurately segment salient regions across a full field of view. However, equirectangular projection (ERP) introduces severe spatial dist…

cs.CV2026

RePer-360: Releasing Perspective Priors for 360 Depth Estimation via Self-Modulation

Cheng Guan, Chunyu Lin, Zhijie Shen +2

Recent depth foundation models trained on perspective imagery achieve strong performance, yet generalize poorly to 360 images due to the substantial geometric discrepancy b…

cs.CV2025

You Need a Transition Plane: Bridging Continuous Panoramic 3D Reconstruction with Perspective Gaussian Splatting

Zhijie Shen, Chunyu Lin, Shujuan Huang +3

Recently, reconstructing scenes from a single panoramic image using advanced 3D Gaussian Splatting (3DGS) techniques has attracted growing interest. Panoramic images offer a 360$\t…

cs.CV2025

Semi-Supervised 360 Layout Estimation with Panoramic Collaborative Perturbations

Junsong Zhang, Chunyu Lin, Zhijie Shen +3

The performance of existing supervised layout estimation methods heavily relies on the quality of data annotations. However, obtaining large-scale and high-quality datasets remains…

cs.CV2024

Revisiting Monocular 3D Object Detection with Depth Thickness Field

Qiude Zhang, Chunyu Lin, Zhijie Shen +2

Monocular 3D object detection is challenging due to the lack of accurate depth. However, existing depth-assisted solutions still exhibit inferior performance, whose reason is unive…

cs.CV2024

Revisiting 360 Depth Estimation with PanoGabor: A New Fusion Perspective

Zhijie Shen, Chunyu Lin, Lang Nie +3

Depth estimation from a monocular 360 image is important to the perception of the entire 3D environment. However, the inherent distortion and large field of view (FoV) in 360 image…

cs.CV2024

SGFormer: Spherical Geometry Transformer for 360 Depth Estimation

Junsong Zhang, Zisong Chen, Chunyu Lin +5

Panoramic distortion poses a significant challenge in 360 depth estimation, particularly pronounced at the north and south poles. Existing methods either adopt a bi-projection fusi…

cs.CV2023★ 3 cited

360 Layout Estimation via Orthogonal Planes Disentanglement and Multi-view Geometric Consistency Perception

Zhijie Shen, Chunyu Lin, Junsong Zhang +3

Existing panoramic layout estimation solutions tend to recover room boundaries from a vertically compressed sequence, yielding imprecise results as the compression process often mu…