Paper-Conference

CitySTAR: Agent-Driven Structured and Topology-Aware Reasoning for Open-Vocabulary Urban 3D Grounding featured image

CitySTAR: Agent-Driven Structured and Topology-Aware Reasoning for Open-Vocabulary Urban 3D Grounding

NeurIPS 2026 · First author. CitySTAR grounds natural-language queries in city-scale 3D scenes through structured constraints, scene graphs and topology-aware reasoning.

shuai-zhang
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SkyLume: A Large-Scale Multi-Illumination Aerial Benchmark for Urban Scene Reconstruction and Beyond featured image

SkyLume: A Large-Scale Multi-Illumination Aerial Benchmark for Urban Scene Reconstruction and Beyond

ECCV 2026 · Co-author. SkyLume benchmarks urban 3D reconstruction across changing illumination, pairing multi-temporal aerial imagery with LiDAR ground truth.

zhuoxiao-li
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GeoOpen3D: Geometry-guided training-free open-vocabulary 3D segmentation via visual foundation models

Geometry-guided RGB-D projection and visual foundation models enable training-free open-vocabulary 3D point-cloud segmentation.

shuai-zhang
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UniD-Shift: Towards Unified Semantic Segmentation via Interpretable Shared–Private Multimodal Decomposition featured image

UniD-Shift: Towards Unified Semantic Segmentation via Interpretable Shared–Private Multimodal Decomposition

CVPR 2026 Findings · First author. UniD-Shift separates shared and modality-specific features for interpretable 2D–3D semantic segmentation and cross-domain generalization.

shuai-zhang
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SPDC: A Super-Point and Point Combining Based Dual-Scale Contrastive Learning Network for Point Cloud Semantic Segmentation featured image

SPDC: A Super-Point and Point Combining Based Dual-Scale Contrastive Learning Network for Point Cloud Semantic Segmentation

This paper proposes SPDC, a dual-scale contrastive learning network combining super-point and point-level features for self-supervised point cloud semantic segmentation, achieving …

shuai-zhang
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