Publications

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(Selected) Publication by Research Topic

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Object Detection

     

Sparse Points to Dense Clouds: Enhancing 3D Detection with Limited LiDAR Data
Aakash Kumar, Chen Chen, Ajmal Mian, Neils Lobo, Mubarak Shah
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
[Paper] [Project Website]


     

Multi-View Attentive Contextualization for Multi-View 3D Object Detection
Xianpeng Liu, Ce Zheng, Ming Qian, Nan Xue, Chen Chen, Zhebin Zhang, Chen Li, Tianfu Wu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[Paper] [Project Website]


     

Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised Learning
Yang Liu, Chen Chen, Can Wang, Xulin King, Mengyuan Liu
ACM Multimedia (ACM-MM), 2023
[Paper] [Code]


     

AlignDet: Aligning Pre-training and Fine-tuning in Object Detection
Ming Li, Jie Wu, Xionghui Wang, Chen Chen, Jie Qin, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
[Paper] [Project Website] [Code]


     

Dense Traffic Detection at Highway-Railroad Grade Crossings
Feng Guo, Zhuocheng Jiang, Yi Wang, Chen Chen, Yu Qian
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2022
[Paper]


     

Consistency-based Active Learning for Object Detection
Weiping Yu, Sijie Zhu, Taojiannan Yang, Chen Chen
Workshop on Learning with Limited Labelled Data for Image and Video Understanding (L3DIVU)
in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022

[Paper] [Code]


     

Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection
Weiping Yu, Taojiannan Yang, Chen Chen
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021
[Paper] [Code]


     

Density Map Guided Object Detection in Aerial Image
Changlin Li, Taojiannan Yang, Sijie Zhu, Chen Chen, Shanyue Guan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (EarthVision Workshop), 2020
[Paper] [Presentation] [Code]