[WACV 2026] Image-Guided Semantic Pseudo-LiDAR Point Generation for 3D Object Detection

This is the implementation of the paper "Test-Time Adaptive Object Detection with Foundation Model" (Neurips 2025)

Breaking the SSL-AL Barrier: A Synergistic Semi-Supervised Active Learning Framework for 3D Object Detection

Codes for "Efficient Multi-Modal 3D Object Detector via Instance Level Contrastive Distillation"

This is the implementation of the paper "GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object Detection" (AAAI25)

This is the implementation of the paper “PS-TTL: Prototype-based Soft-labels and Test-Time Learning for Few-shot Object Detection” (MM 2024)

Co-Fix3D & Co-Fusion

This is the implementation of the paper "FSD-BEV: Foreground Self-Distillation for Multi-view 3D Object Detection" (ECCV 2024)

[Information Fusion 2025] A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective

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

[IROS2024] Camera-Radar Fusion for BEV Map and Object Segmentation

Official project repository of AVS-Net

[CVPR 2024] This repo contains the code for our paper: Rethinking Few-shot 3D Point Cloud Semantic Segmentation

[IV2024] MultiCorrupt: A benchmark for robust multi-modal 3D object detection, evaluating LiDAR-Camera fusion models in autonomous driving. Includes diverse corruption types (e.g., misalignment, mi…

[ICRA 2024] - We propose LiRaFusion to tackle LiDAR-radar fusion for 3D object detection to fill the performance gap of existing LiDAR-radar detectors.

EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection

Leveraging Anchor-based LiDAR 3D Object Detection via Point Assisted Sample Selection

code for Eliminating Cross-modal Conflicts in BEV Space for LiDAR-Camera 3D Object Detection

[CVPR 2022] SS3D: Sparsely-supervised 3d object detection from point cloud

Code of voxel-based scene completion method

[ICLR2024] HEAL: An Extensible Framework for Open Heterogeneous Collaborative Perception ➡️ All You Need for Multi-Modality Collaborative Perception!

[ICLR2024]: LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection.