"3d object detection" Papers
31 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.
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
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.
CMD: A Cross Mechanism Domain Adaptation Dataset for 3D Object Detection
Jinhao Deng, Wei Ye, Hai Wu et al.
CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection
Gyusam Chang, Wonseok Roh, Sujin Jang et al.
DA-BEV: Unsupervised Domain Adaptation for Bird's Eye View Perception
Kai Jiang, Jiaxing Huang, Weiying Xie et al.
DiffBEV: Conditional Diffusion Model for Bird’s Eye View Perception
Jiayu Zou, Kun Tian, Zheng Zhu et al.
Domain Generalization of 3D Object Detection by Density-Resampling
Shuangzhi Li, Lei Ma, Xingyu Li
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
Ding Jia, Jianyuan Guo, Kai Han et al.
HENet: Hybrid Encoding for End-to-end Multi-task 3D Perception from Multi-view Cameras
Zhongyu Xia, ZhiWei Lin, Xinhao Wang et al.
iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds
Dongmin Choi, Wonwoo Cho, Kangyeol Kim et al.
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields
Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini et al.
OV-Uni3DETR: Towards Unified Open-Vocabulary 3D Object Detection via Cycle-Modality Propagation
Zhenyu Wang, Ya-Li Li, TAICHI LIU et al.
RecurrentBEV: A Long-term Temporal Fusion Framework for Multi-view 3D Detection
Ming Chang, Xishan Zhang, Rui Zhang et al.
Remove Projective LiDAR Depthmap Artifacts via Exploiting Epipolar Geometry
Shengjie Zhu, Girish Chandar Ganesan, Abhinav Kumar et al.
SAMFusion: Sensor-Adaptive Multimodal Fusion for 3D Object Detection in Adverse Weather
Edoardo Palladin, Roland Dietze, Praveen Narayanan et al.
Semi-supervised 3D Object Detection with PatchTeacher and PillarMix
Xiaopei Wu, Liang Peng, Liang Xie et al.
SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection
Haimei Zhao, Qiming Zhang, Shanshan Zhao et al.
Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection
Xun Huang, Hai Wu, Xin Li et al.
TCC-Det: Temporarily consistent cues for weakly-supervised 3D detection
Jan Skvrna, Lukas Neumann