:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lu, Xiaohu, Radha, Hayder
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2412.08806
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ScAR: Scaling Adversarial Robustness for LiDAR Object Detection
by: Lu, Xiaohu, et al.
Published: (2023)

MUSDA: Multi-source Multi-modality Unsupervised Domain Adaptive 3D Object Detection for Autonomous Driving
by: Lu, Xiaohu, et al.
Published: (2026)

WILD SAM: A Simulated-and-Real Data Augmentation for Autonomous Driving Perception under Challenging Weather
by: Khatounabadi, Hamed, et al.
Published: (2026)

InsFusion: Rethink Instance-level LiDAR-Camera Fusion for 3D Object Detection
by: Xia, Zhongyu, et al.
Published: (2025)

UniLiPs: Unified LiDAR Pseudo-Labeling with Geometry-Grounded Dynamic Scene Decomposition
by: Ghilotti, Filippo, et al.
Published: (2026)

Enhancing Pseudo-Boxes via Data-Level LiDAR-Camera Fusion for Unsupervised 3D Object Detection
by: Ji, Mingqian, et al.
Published: (2025)

Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection
by: Zhang, Ruixiao, et al.
Published: (2024)

DenoiseCP-Net: Efficient Collective Perception in Adverse Weather via Joint LiDAR-Based 3D Object Detection and Denoising
by: Teufel, Sven, et al.
Published: (2025)

Learning to Detect Objects from Multi-Agent LiDAR Scans without Manual Labels
by: Xia, Qiming, et al.
Published: (2025)

Image-Guided Semantic Pseudo-LiDAR Point Generation for 3D Object Detection
by: Lee, Minseung, et al.
Published: (2024)

Unsupervised Domain Adaptation for 3D LiDAR Semantic Segmentation Using Contrastive Learning and Multi-Model Pseudo Labeling
by: Kaushik, Abhishek, et al.
Published: (2025)

LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection
by: Fang, Jin, et al.
Published: (2023)

Co-Win: Joint Object Detection and Instance Segmentation in LiDAR Point Clouds via Collaborative Window Processing
by: Li, Haichuan, et al.
Published: (2025)

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection
by: Fu, Zehua, et al.
Published: (2025)

An Investigation of Beam Density on LiDAR Object Detection Performance
by: Griesbacher, Christoph, et al.
Published: (2025)

Inconsistency-based Active Learning for LiDAR Object Detection
by: Rivera, Esteban, et al.
Published: (2025)

Label-Efficient LiDAR Panoptic Segmentation
by: Çanakçı, Ahmet Selim, et al.
Published: (2025)

GAFusion: Adaptive Fusing LiDAR and Camera with Multiple Guidance for 3D Object Detection
by: Li, Xiaotian, et al.
Published: (2024)

LiDAR-EVS: Enhance Extrapolated View Synthesis for 3D Gaussian Splatting with Pseudo-LiDAR Supervision
by: Huang, Yiming, et al.
Published: (2026)

LiRaFusion: Deep Adaptive LiDAR-Radar Fusion for 3D Object Detection
by: Song, Jingyu, et al.
Published: (2024)

Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection
by: Kösel, Michael, et al.
Published: (2024)

HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing
by: Moreno, Ivannia Gomez, et al.
Published: (2026)

Relative Energy Learning for LiDAR Out-of-Distribution Detection
by: Li, Zizhao, et al.
Published: (2025)

CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection
by: Chang, Gyusam, et al.
Published: (2024)

Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection
by: Hegde, Deepti, et al.
Published: (2024)

LiDAR-GS++:Improving LiDAR Gaussian Reconstruction via Diffusion Priors
by: Chen, Qifeng, et al.
Published: (2025)

Fast Attention-Based Simplification of LiDAR Point Clouds for Object Detection and Classification
by: Rozsa, Z., et al.
Published: (2026)

LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models
by: Nakashima, Kazuto, et al.
Published: (2023)

ALISE: Annotation-Free LiDAR Instance Segmentation for Autonomous Driving
by: Lyu, Yongxuan, et al.
Published: (2025)

Neural Distribution Prior for LiDAR Out-of-Distribution Detection
by: Li, Zizhao, et al.
Published: (2026)

ALOOD: Exploiting Language Representations for LiDAR-based Out-of-Distribution Object Detection
by: Kösel, Michael, et al.
Published: (2026)

MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection
by: Yang, Yuxue, et al.
Published: (2024)

Instance-Free Domain Adaptive Object Detection
by: Yu, Hengfu, et al.
Published: (2026)

Weighted Bayesian Gaussian Mixture Model for Roadside LiDAR Object Detection
by: Zhang, Tianya, et al.
Published: (2022)

Rethinking Backbone Design for Lightweight 3D Object Detection in LiDAR
by: Chandorkar, Adwait, et al.
Published: (2025)

Low Latency Instance Segmentation by Continuous Clustering for LiDAR Sensors
by: Reich, Andreas, et al.
Published: (2023)

LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection
by: Zhou, Sifan, et al.
Published: (2024)

Towards Consistent Object Detection via LiDAR-Camera Synergy
by: Luo, Kai, et al.
Published: (2024)

V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection
by: Huang, Xun, et al.
Published: (2024)

Adaptive LiDAR Scanning: Harnessing Temporal Cues for Efficient 3D Object Detection via Multi-Modal Fusion
by: Shoouri, Sara, et al.
Published: (2025)