Research and Selected Publications
My current research focuses on deep learning for large-scale scene understanding. Specifically, my focus areas include:
- [★Main Area]Point Cloud Analysis (3D Semantic Segmentation, 3D Object Detection...)
- [☆Sub-Area] Visual Foundation Models (PEFT, Domain Adaptation, Knowledge Distillation, Pretraining...)
- Multi-Modal & Cross-Modal Learning (Vision&Language, Image&Point Clouds, RGB-D...)
- Learning with Limited Supervision (Semi-Supervised Learning, Transfer Learning...)
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CAT-SAM: Conditional Tuning Network for Few-Shot Adaptation of Segmentation Anything Model
Aoran Xiao*, Weihao Xuan*, Heli Qi, Yun Xing, Ruijie Ren, Xiaoqin Zhang, Ling Shao, Shijian Lu (* indicates equal contribution).
arXiv, 2024.
[paper] [github]
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3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds
Aoran Xiao, Jiaxing Huang, Weihao Xuan, Ruijie Ren, Kangcheng Liu, Dayan Guan, Abdulmotaleb El Saddik, Shijian Lu, Eric Xing.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[paper] [github]
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MaskVO: Self-Supervised Visual Odometry with a Learnable Dynamic Mask
Weihao Xuan, Ruijie Ren, Siyuan Wu, Changhao Chen.
IEEE/SICE International Symposium on System Integration (SII), 2022.
[paper]
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On a Discrete-Time Network SIS Model with Opinion Dynamics
Yixuan Lin, Weihao Xuan, Ruijie Ren, Ji Liu.
IEEE Conference on Decision and Control (CDC), 2021.
[paper]
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On a network SIS model with opinion dynamics
Weihao Xuan, Ruijie Ren, Philip E Paré, Mengbin Ye, Sebastian Ruf, Ji Liu.
IFAC World Congress, 2020.
[paper]
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Miscellaneous
Professional Activities
International Federation of Automatic Control (IFAC).
IEEE Robotics and Automation Society (RAS).
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