Search Results for author: Mengke Yuan

Found 5 papers, 0 papers with code

HGDNet: A Height-Hierarchy Guided Dual-Decoder Network for Single View Building Extraction and Height Estimation

no code implementations10 Aug 2023 Chaoran Lu, Ningning Cao, Pan Zhang, Ting Liu, Baochai Peng, Guozhang Liu, Mengke Yuan, Sen Zhang, Simin Huang, Tao Wang

Unifying the correlative single-view satellite image building extraction and height estimation tasks indicates a promising way to share representations and acquire generalist model for large-scale urban 3D reconstruction.

3D Reconstruction

Fine-grained building roof instance segmentation based on domain adapted pretraining and composite dual-backbone

no code implementations10 Aug 2023 Guozhang Liu, Baochai Peng, Ting Liu, Pan Zhang, Mengke Yuan, Chaoran Lu, Ningning Cao, Sen Zhang, Simin Huang, Tao Wang

The diversity of building architecture styles of global cities situated on various landforms, the degraded optical imagery affected by clouds and shadows, and the significant inter-class imbalance of roof types pose challenges for designing a robust and accurate building roof instance segmentor.

Data Augmentation Instance Segmentation +1

Speeding Up the Bilateral Filter: A Joint Acceleration Way

no code implementations28 Feb 2018 Longquan Dai, Mengke Yuan, Xiaopeng Zhang

To achieve the constant-time BF whose complexity is irrelevant to the kernel size, many techniques have been proposed, such as 2D box filtering, dimension promotion, and shiftability property.

Hardware-Efficient Guided Image Filtering For Multi-Label Problem

no code implementations CVPR 2017 Longquan Dai, Mengke Yuan, Zechao Li, Xiaopeng Zhang, Jinhui Tang

In this paper we propose a hardware-efficient Guided Filter (HGF), which solves the efficiency problem of multichannel guided image filtering and yields competent results when applying it to multi-label problems with synthesized polynomial multichannel guidance.

Fully Connected Guided Image Filtering

no code implementations ICCV 2015 Longquan Dai, Mengke Yuan, Feihu Zhang, Xiaopeng Zhang

This paper presents a linear time fully connected guided filter by introducing the minimum spanning tree (MST) to the guided filter (GF).

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