TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers
2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 741 citations
https://doi.org/10.1109/cvpr52688.2022.00116
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Xinge Zhu
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Xinge Zhu is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Advanced Neural Network Applications & Robotics and Sensor-Based Localization & 3D Shape Modeling and Analysis. The author has an h-index of 30, co-authored 99 publications.
ORCID: 0000-0003-0107-8099Papers by this author
worksFCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection
2021 · 590 citations
https://doi.org/10.1109/iccvw54120.2021.00107
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation
2021 · 529 citations
https://doi.org/10.1109/cvpr46437.2021.00981
Pose Guided Human Video Generation
2018 · Lecture notes in computer science · 135 citations
https://doi.org/10.1007/978-3-030-01249-6_13
Rethinking Range View Representation for LiDAR Segmentation
2023 · 127 citations
https://doi.org/10.1109/iccv51070.2023.00028
STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes
2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 42 citations
https://doi.org/10.1109/cvpr52688.2022.01899
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