LiDAR-CS Dataset

Focal and Global Knowledge Distillation for Detectors (CVPR 2022)

CrossKD: Cross-Head Knowledge Distillation for Dense Object Detection

CVPR 2024 Highlight: Frequency-Adaptive Dilated Convolution for Semantic Segmentation

ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection, Pattern Recognition

🔥(ECCV 2024 Oral) RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation

Paper and Codes for “RangeDet: In Defense of Range View for LiDAR-based 3D Object Detection” (ICCV2021)

This repository contains the PyTorch implementation of the CVPR'2024 paper (Highlight), IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection.

Implementation of "PG-RCNN: Semantic Surface Point Generation for 3D Object Detection" (ICCV 2023)

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

Make it always online in BJUT campus network

[Arxiv 2022] This is the official implementation of 3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection

Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection

Point Density-Aware Voxels for LiDAR 3D Object Detection (CVPR 2022)

[ICCV '21] "Unsupervised Point Cloud Pre-training via Occlusion Completion"

Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

[ACCV 2024] Simple, Easy 3D Object Detection with Point-Wise Semantics

[ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

[ECCV2022] FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection

This job is Non-official PyTorch implementation of the Range-Point-Voxel Funsion Network for lidar point cloud segmentation.

[ICME 2022] CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

[CVPR 2021] Unsupervised 3D Shape Completion through GAN Inversion

A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).

(ICLR) Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving

pseudo-LiDAR_e2e

(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

Code for PCN: Point Completion Network in 3DV'18 (Oral)