activity
20192023
most citedDirectionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud Classification

130 citations · 243 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2023★ 1 cited

AutoEncoding Tree for City Generation and Applications

Wenyu Han, Congcong Wen, Lazarus Chok +4

City modeling and generation have attracted an increased interest in various applications, including gaming, urban planning, and autonomous driving. Unlike previous works focused o…

cs.CV2023★ 36 cited

RSGPT: A Remote Sensing Vision Language Model and Benchmark

Yuan Hu, Jianlong Yuan, Congcong Wen +2

The emergence of large-scale large language models, with GPT-4 as a prominent example, has significantly propelled the rapid advancement of artificial general intelligence and spar…

cs.CV2023★ 8 cited

Vision-Language Models in Remote Sensing: Current Progress and Future Trends

Xiang Li, Congcong Wen, Yuan Hu +2

The remarkable achievements of ChatGPT and GPT-4 have sparked a wave of interest and research in the field of large language models for Artificial General Intelligence (AGI). These…

cs.CV2021★ 4 cited

Fooling LiDAR Perception via Adversarial Trajectory Perturbation

Yiming Li, Congcong Wen, Felix Juefei-Xu +1

LiDAR point clouds collected from a moving vehicle are functions of its trajectories, because the sensor motion needs to be compensated to avoid distortions. When autonomous vehicl…

cs.CV2020★ 3 cited

Airborne LiDAR Point Cloud Classification with Graph Attention Convolution Neural Network

Congcong Wen, Xiang Li, Xiaojing Yao +2

Airborne light detection and ranging (LiDAR) plays an increasingly significant role in urban planning, topographic mapping, environmental monitoring, power line detection and other…

cs.CV2019★ 61 cited

Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification

Xiang Li, Mingyang Wang, Congcong Wen +3

To better address challenging issues of the irregularity and inhomogeneity inherently present in 3D point clouds, researchers have been shifting their focus from the design of hand…

cs.CV2019★ 130 cited

Directionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud Classification

Congcong Wen, Lina Yang, Ling Peng +2

Point cloud classification plays an important role in a wide range of airborne light detection and ranging (LiDAR) applications, such as topographic mapping, forest monitoring, pow…