36 citations · 40 across the 3 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
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…
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…