2025 "3d object detection" Papers
17 papers found
Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion
Minkyoung Cho, Yulong Cao, Jiachen Sun et al.
CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
Huitong Yang, Zhuoxiao Chen, Fengyi Zhang et al.
Detect Anything 3D in the Wild
Hanxue Zhang, Haoran Jiang, Qingsong Yao et al.
GO-N3RDet: Geometry Optimized NeRF-enhanced 3D Object Detector
Zechuan Li, Hongshan Yu, Yihao Ding et al.
Learning 3D Perception from Others' Predictions
Jinsu Yoo, Zhenyang Feng, Tai-Yu Pan et al.
Learning Class Prototypes for Unified Sparse-Supervised 3D Object Detection
Yun Zhu, Le Hui, Hang Yang et al.
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
Zhuoxiao Chen, Junjie Meng, Mahsa Baktashmotlagh et al.
Perspective-Invariant 3D Object Detection
Alan Liang, Lingdong Kong, Dongyue Lu et al.
PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds
Barza Nisar, Steven L. Waslander
RayFusion: Ray Fusion Enhanced Collaborative Visual Perception
Shaohong Wang, Lu Bin, Xinyu Xiao et al.
RCTDistill: Cross-Modal Knowledge Distillation Framework for Radar-Camera 3D Object Detection with Temporal Fusion
Geonho Bang, Minjae Seong, Jisong Kim et al.
RLGF: Reinforcement Learning with Geometric Feedback for Autonomous Driving Video Generation
Tianyi Yan, Wencheng Han, xia zhou et al.
RobuRCDet: Enhancing Robustness of Radar-Camera Fusion in Bird's Eye View for 3D Object Detection
Jingtong Yue, Zhiwei Lin, Xin Lin et al.
SpatialLM: Training Large Language Models for Structured Indoor Modeling
Yongsen Mao, Junhao Zhong, Chuan Fang et al.
Unleashing the Temporal Potential of Stereo Event Cameras for Continuous-Time 3D Object Detection
Jae Young Kang, Hoonhee Cho, Kuk-Jin Yoon
UrbanIng-V2X: A Large-Scale Multi-Vehicle, Multi-Infrastructure Dataset Across Multiple Intersections for Cooperative Perception
Karthikeyan Chandra Sekaran, Markus Geisler, Dominik Rößle et al.
VisionPAD: A Vision-Centric Pre-training Paradigm for Autonomous Driving
Haiming Zhang, Wending Zhou, Shenzhen The Chinese University of Hongkong et al.