activity
20232026
most citedPrompt-Driven Building Footprint Extraction in Aerial Images with Offset-Building Model

5 citations · 6 across the 9 of their papers we have counts for

collaborators

11 papers

cs.CV2026

Unravel: Recovering an Interactive 3D Scene from a Single Image

Hui Shan, Keyang Luo, Binjia Zhou +10

We present Unravel, a training-free framework that turns a single image into an interactive 3D scene, where every object is an independent and movable asset. Existing generators ei…

cs.CV2026

LoDEOT: Low-Dimensional and Efficient Offset Tokens for Building Footprint Extraction from Off-Nadir Imagery

Kai Li, Zigan Zhou, Zhenyang Li +7

Instance-level roof-to-footprint offset (RFO) prediction is central to extracting building footprints from off-nadir imagery. Query-based pipelines commonly use high-dimensional in…

cs.CV2026

Remote-Sensing City Layout Extraction with MLLM

Zigan Zhou, Kai Li, Yupeng Deng

Remote-sensing systems usually describe urban content with detection boxes, semantic masks, or vector boundaries. Such outputs locate classes and support image-plane scoring, yet t…

cs.CV2026

Scenix: Sparse-View 3D Scene Reconstruction via Executable Scene Programs

Kai Li, Lutao Jiang, Zhenyang Li +10

Synthesizing a structured and editable 3D indoor scene from a few uncalibrated RGB views requires more than generating high-quality individual assets: a system must infer the room…

cs.CV2026

ObliCity: A Benchmark and Baseline for Roof-to-Ground Projection Displacement Correction

Kai Li, Yupeng Deng, Ligao Deng +6

Oblique-view urban remote sensing imagery inevitably exhibits geometric projection displacements between building roofs and footprints, leading to significant distortions in spatia…

cs.CV2025

RS-OOD: A Vision-Language Augmented Framework for Out-of-Distribution Detection in Remote Sensing

Chenhao Wang, Yingrui Ji, Yu Meng +2

Out-of-distribution (OOD) detection represents a critical challenge in remote sensing applications, where reliable identification of novel or anomalous patterns is essential for au…

cs.CV2025

DragOSM: Extract Building Roofs and Footprints from Aerial Images by Aligning Historical Labels

Kai Li, Xingxing Weng, Yupeng Deng +4

Extracting polygonal roofs and footprints from remote sensing images is critical for large-scale urban analysis. Most existing methods rely on segmentation-based models that assume…

cs.CV2025

DGTRSD & DGTRS-CLIP: A Dual-Granularity Remote Sensing Image-Text Dataset and Vision Language Foundation Model for Alignment

Weizhi Chen, Yupeng Deng, Jin Wei +7

Vision Language Foundation Models based on CLIP architecture for remote sensing primarily rely on short text captions, which often result in incomplete semantic representations. Al…

cs.CV2025

SayAnything: Audio-Driven Lip Synchronization with Conditional Video Diffusion

Junxian Ma, Shiwen Wang, Jian Yang +6

Recent advances in diffusion models have led to significant progress in audio-driven lip synchronization. However, existing methods typically rely on constrained audio-visual align…

cs.CV2024★ 1 cited

PolyFootNet: Extracting Polygonal Building Footprints in Off-Nadir Remote Sensing Images

Kai Li, Yupeng Deng, Jingbo Chen +6

Extracting polygonal building footprints from off-nadir imagery is crucial for diverse applications. Current deep-learning-based extraction approaches predominantly rely on semanti…

cs.CV2023★ 5 cited

Prompt-Driven Building Footprint Extraction in Aerial Images with Offset-Building Model

Kai Li, Yupeng Deng, Yunlong Kong +5

More accurate extraction of invisible building footprints from very-high-resolution (VHR) aerial images relies on roof segmentation and roof-to-footprint offset extraction. Existin…