19 citations · 25 across the 11 of their papers we have counts for
13 papers
LifePlanner: Evaluating LLM Agents for Geo-spatial Planning with Social Media Data
Zhen Dong, Yuning Peng, Yutao Shi +4
Geo-spatial planning, like trip design, is a realistic testbed for LLM agents because it requires grounded tool use, noisy evidence retrieval, and multi-constraint reasoning. Most…
LEGO: Leveled Language Gaussian Splatting
Yuning Peng, Haiping Wang, Yuan Liu +3
We introduce LEGO for advanced open-vocabulary scene understanding. Beyond basic concept recognition, its core innovation lies in capturing the intrinsic semantic hierarchies withi…
SpatialLLM: From Multi-modality Data to Urban Spatial Intelligence
Jiabin Chen, Haiping Wang, Jinpeng Li +3
We propose SpatialLLM, a novel approach advancing spatial intelligence tasks in complex urban scenes. Unlike previous methods requiring geographic analysis tools or domain expertis…
ME-CPT: Multi-Task Enhanced Cross-Temporal Point Transformer for Urban 3D Change Detection
Luqi Zhang, Haiping Wang, Chong Liu +2
The point clouds collected by the Airborne Laser Scanning (ALS) system provide accurate 3D information of urban land covers. By utilizing multi-temporal ALS point clouds, semantic…
GAGS: Granularity-Aware Feature Distillation for Language Gaussian Splatting
Yuning Peng, Haiping Wang, Yuan Liu +3
3D open-vocabulary scene understanding, which accurately perceives complex semantic properties of objects in space, has gained significant attention in recent years. In this paper,…
VistaDream: Sampling multiview consistent images for single-view scene reconstruction
Haiping Wang, Yuan Liu, Ziwei Liu +3
In this paper, we propose VistaDream a novel framework to reconstruct a 3D scene from a single-view image. Recent diffusion models enable generating high-quality novel-view images…
Exploiting Motion Prior for Accurate Pose Estimation of Dashboard Cameras
Yipeng Lu, Yifan Zhao, Haiping Wang +4
Dashboard cameras (dashcams) record millions of driving videos daily, offering a valuable potential data source for various applications, including driving map production and updat…
WHU-Synthetic: A Synthetic Perception Dataset for 3-D Multitask Model Research
Jiahao Zhou, Chen Long, Yue Xie +6
End-to-end models capable of handling multiple sub-tasks in parallel have become a new trend, thereby presenting significant challenges and opportunities for the integration of mul…
SparseDC: Depth Completion from sparse and non-uniform inputs
Chen Long, Wenxiao Zhang, Zhe Chen +5
We propose SparseDC, a model for Depth Completion of Sparse and non-uniform depth inputs. Unlike previous methods focusing on completing fixed distributions on benchmark datasets (…
FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators
Haiping Wang, Yuan Liu, Bing Wang +4
Matching cross-modality features between images and point clouds is a fundamental problem for image-to-point cloud registration. However, due to the modality difference between ima…
Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting
Haiping Wang, Yuan Liu, Zhen Dong +4
In this paper, we present a new method for the multiview registration of point cloud. Previous multiview registration methods rely on exhaustive pairwise registration to construct…
CG-SSD: Corner Guided Single Stage 3D Object Detection from LiDAR Point Cloud
Ruiqi Ma, Chi Chen, Bisheng Yang +4
At present, the anchor-based or anchor-free models that use LiDAR point clouds for 3D object detection use the center assigner strategy to infer the 3D bounding boxes. However, in…
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors
Haiping Wang, Yuan Liu, Zhen Dong +1
In this paper, we propose a novel local descriptor-based framework, called You Only Hypothesize Once (YOHO), for the registration of two unaligned point clouds. In contrast to most…