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S2S Public
This is the official implementation of "Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape Data" (Accepted at ECCV 2024).
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LSK3DNet Public
This is the official implementation of "LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels" (Accepted at CVPR 2024).
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Interpretable3D Public
This is the official implementation of "Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point Clouds" (Accepted at AAAI 2024).
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3D-Point-Cloud-Get-Started Public
This summary includes traditional algorithms and deep learning methods, which refers to paper with code, shenlanxueyuan, and My blog (in Chinese).
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Re-Track Public
This is the implementation of "A Novel Object Re-Track Framework for 3D Point Clouds", which is accepted by ACM-MM 2020.
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Cluster3DSeg Public
This is the official implementation of "Clustering based Point Cloud Representation Learning for 3D Analysis" (Accepted at ICCV 2023).
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BEV-Perception Public
Forked from vasgaowei/BEV-PerceptionBird's Eye View Perception
MIT License UpdatedMar 3, 2024 -
HieraSeg Public
Forked from lingorX/HieraSegCVPR2022 - Deep Hierarchical Semantic Segmentation - A structured, pixel-wise description of visual scenes in terms of the class hierarchy.
Python UpdatedApr 24, 2023 -
Codes-for-PVKD Public
Forked from cardwing/Codes-for-PVKDPoint-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)
Python MIT License UpdatedDec 2, 2022 -
ProtoSeg Public
Forked from tfzhou/ProtoSegCVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View
Python MIT License UpdatedJun 30, 2022 -
This is my implementation of the LIDAR target detection track of DEECAMP 2020. The tracking process occurs after the object detection.
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