个人履历 Brief CV

▶H. Wu, C. Wen*, S. Shi, et al., Virtual Sparse Convolution for Multimodal 3D Object Detection, CVPR, 2023. (CCF A)

▶ Y. Dai, Y. Lin, X. Lin, C. Wen*, et al., SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments, CVPR, 2023. (CCF A)

▶H. Wu, C. Wen*, W. Li, et al., Transformation-Equivariant 3D Object Detection for Autonomous Driving, AAAI, 2023. (CCF A)

▶Q. Li, C. Wang, C. Wen*, et al., DeepSIR: Deep Semantic Iterative Registration for LiDAR Point Clouds, Pattern Recognition, 2023. (CCF B)

▶Y. Dai, Y. Lin, C. Wen*, S. Shen, et al., HSC4D: Human-centered 4D Scene Capture in Large-scale Indoor-outdoor Space using Wearable IMUs and LiDAR, CVPR, 2022. (CCF A)

▶S. Yu, C. Wang, C. Wen*, et al., LiDAR-based Localization using Universal Encoding and Memory-aware Regression, Pattern Recognition, 2022. (CCF B)

▶H. Wu, J. Deng, C. Wen*, et al., CasA: A Cascade Attention Network for 3D Object Detection from LiDAR point clouds, IEEE Trans. on Geoscience and Remote Sensing, 2022. (CCF B)

▶H. Wu, Q. Li, C. Wen*, et al., Tracklet Proposal Network for Multi-object Tracking on Point Clouds, IJCAI, 2021. (CCF A)

▶H. Wu, W. Han, C. Wen*, 3D Multi-Object Tracking in Point Clouds based on Prediction Confidence-Guided Data Association, IEEE Trans. on Intelligent Transportation Systems, 2021. (CCF B)

▶W. Han, C. Wen*, C. Wang, et al., Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling, AAAI, Oral presentation, 2020. (CCF A)