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Congcong Wen
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Journal Articles
- 2023
- [j7]Xiang Li, Congcong Wen, Yuan Hu, Nan Zhou:
RS-CLIP: Zero shot remote sensing scene classification via contrastive vision-language supervision. Int. J. Appl. Earth Obs. Geoinformation 124: 103497 (2023) - 2022
- [j6]Ruonan Chen, Xiang Li, Yuan Hu, Congcong Wen, Ling Peng:
Road Extraction From Remote Sensing Images in Wildland-Urban Interface Areas. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j5]Xiang Li, Congcong Wen, Lingjing Wang, Yi Fang:
Geometry-Aware Segmentation of Remote Sensing Images via Joint Height Estimation. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - 2021
- [j4]Xiang Li, Congcong Wen, Lingjing Wang, Yi Fang:
Topology Constrained Shape Correspondence. IEEE Trans. Vis. Comput. Graph. 27(10): 3926-3937 (2021) - 2019
- [j3]Jie Luo, Huiling Chen, Zhongyi Hu, Hui Huang, Pengjun Wang, Xianqin Wang, Xin-En Lv, Congcong Wen:
A New Kernel Extreme Learning Machine Framework for Somatization Disorder Diagnosis. IEEE Access 7: 45512-45525 (2019) - 2018
- [j2]Xianchuan Wang, Zhiyi Wang, Jie Weng, Congcong Wen, Huiling Chen, Xianqin Wang:
A New Effective Machine Learning Framework for Sepsis Diagnosis. IEEE Access 6: 48300-48310 (2018) - [j1]Xiaojing Yao, Liujia Chen, Congcong Wen, Ling Peng, Liang Yang, Tianhe Chi, Xiaomeng Wang, Wenhao Yu:
A spatial co-location mining algorithm that includes adaptive proximity improvements and distant instance references. Int. J. Geogr. Inf. Sci. 32(5): 980-1005 (2018)
Conference and Workshop Papers
- 2023
- [c3]Congcong Wen, Hao Huang, Yu-Shen Liu, Yi Fang:
Pyramid Learnable Tokens for 3D LiDAR Place Recognition. ICRA 2023: 4143-4149 - 2022
- [c2]Xiang Li, Congcong Wen, Hao Huang:
Unsupervised 3D Shape Representation Learning Using Normalizing Flow. ACCV (1) 2022: 158-175 - 2021
- [c1]Yiming Li, Congcong Wen, Felix Juefei-Xu, Chen Feng:
Fooling LiDAR Perception via Adversarial Trajectory Perturbation. ICCV 2021: 7878-7887
Informal and Other Publications
- 2024
- [i8]Congcong Wen, Jiazhao Liang, Shuaihang Yuan, Hao Huang, Yi Fang:
How Secure Are Large Language Models (LLMs) for Navigation in Urban Environments? CoRR abs/2402.09546 (2024) - 2023
- [i7]Congcong Wen, Yuan Hu, Xiang Li, Zhenghang Yuan, Xiao Xiang Zhu:
Vision-Language Models in Remote Sensing: Current Progress and Future Trends. CoRR abs/2305.05726 (2023) - [i6]Yuan Hu, Jianlong Yuan, Congcong Wen, Xiaonan Lu, Xiang Li:
RSGPT: A Remote Sensing Vision Language Model and Benchmark. CoRR abs/2307.15266 (2023) - [i5]Wenyu Han, Congcong Wen, Lazarus Chok, Yan Liang Tan, Sheung Lung Chan, Hang Zhao, Chen Feng:
AutoEncoding Tree for City Generation and Applications. CoRR abs/2309.15941 (2023) - 2021
- [i4]Yiming Li, Congcong Wen, Felix Juefei-Xu, Chen Feng:
Fooling LiDAR Perception via Adversarial Trajectory Perturbation. CoRR abs/2103.15326 (2021) - 2020
- [i3]Congcong Wen, Xiang Li, Xiaojing Yao, Ling Peng, Tianhe Chi:
Airborne LiDAR Point Cloud Classification with Graph Attention Convolution Neural Network. CoRR abs/2004.09057 (2020) - 2019
- [i2]Congcong Wen, Lina Yang, Ling Peng, Xiang Li, Tianhe Chi:
Directionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud Classification. CoRR abs/1908.06673 (2019) - [i1]Xiang Li, Mingyang Wang, Congcong Wen, Lingjing Wang, Nan Zhou, Yi Fang:
Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification. CoRR abs/1910.05909 (2019)
Coauthor Index
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