activity
20202026
most citedMeta-learning an Intermediate Representation for Few-shot Block-wise Prediction of Landslide Susceptibility

28 citations · 44 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

SenseNova-U1.5: Towards Native Unified Visual Intelligence

Haiwen Diao, Jiahao Wang, Chenjing Ding +62

We launch SenseNova-U1.5, an 8B-MoT native unified multimodal model that understands, reasons about, and generates visual content within an encoder-free and VAE-free architecture.…

cs.CV2023★ 2 cited

SuperpixelGraph: Semi-automatic generation of building footprint through semantic-sensitive superpixel and neural graph networks

Haojia Yu, Han Hu, Bo Xu +3

Most urban applications necessitate building footprints in the form of concise vector graphics with sharp boundaries rather than pixel-wise raster images. This need contrasts with…

cs.CV2023

Semantic Image Translation for Repairing the Texture Defects of Building Models

Qisen Shang, Han Hu, Haojia Yu +3

The accurate representation of 3D building models in urban environments is significantly hindered by challenges such as texture occlusion, blurring, and missing details, which are…

cs.LG2021★ 28 cited

Meta-learning an Intermediate Representation for Few-shot Block-wise Prediction of Landslide Susceptibility

Li Chen, Yulin Ding, Saeid Pirasteh +6

Predicting a landslide susceptibility map (LSM) is essential for risk recognition and disaster prevention. Despite the successful application of data-driven approaches for LSM pred…

cs.CV2020★ 14 cited

Structure-Aware Completion of Photogrammetric Meshes in Urban Road Environment

Qing Zhu, Qisen Shang, Han Hu +2

Photogrammetric mesh models obtained from aerial oblique images have been widely used for urban reconstruction. However, the photogrammetric meshes also suffer from severe texture…