Media Summary: Hello everyone it is my pleasure to introduce our work Authors: Yang, Minmin*; Chen, Jiajing; Velipasalar, Senem Description: Recent years have witnessed significant progress in the ... Authors: Zhu, Minghan*; Ge, Lingting; Wang, Panqu; Peng, Huei Description: We propose a novel approach for monocular

339 Cross Modality 3d Object Detection - Detailed Analysis & Overview

Hello everyone it is my pleasure to introduce our work Authors: Yang, Minmin*; Chen, Jiajing; Velipasalar, Senem Description: Recent years have witnessed significant progress in the ... Authors: Zhu, Minghan*; Ge, Lingting; Wang, Panqu; Peng, Huei Description: We propose a novel approach for monocular ECCV2024 GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection Authors: Ching-Yu Tseng, Yi-Rong Chen, Hsin-Ying Lee, Tsung-Han Wu, Wen-Chin Chen, Winston H. Hsu Project Page: ... CCF: Complementary Collaborative Fusion for Domain Generalized Multi-Modal 3D Object Detection

Authors: Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo Description: Authors: Weijia Zhang; Dongnan Liu; Chao Ma; Weidong Cai Description: Monocular Categorical Depth Distribution Network for Monocular

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339 - Cross-Modality 3D Object Detection
Cross-Modality Feature Fusion Network for Few-Shot 3D Point Cloud Classification
Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues
[ICRA2024] 3D Object Detection from LiDAR-Radar Point Clouds Via Cross-Modal Feature Augmentation
Visual Object Tracking Demo (cross-modality)
MonoEdge: Monocular 3D Object Detection Using Local Perspectives
ECCV2024 GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection (The second version)
CCF: Complementary Collaborative Fusion for Domain Generalized Multi-Modal 3D Object Detection
Batch3DMOT: 3D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge Modality Attention
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection
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339 - Cross-Modality 3D Object Detection

339 - Cross-Modality 3D Object Detection

Hello everyone it is my pleasure to introduce our work

Cross-Modality Feature Fusion Network for Few-Shot 3D Point Cloud Classification

Cross-Modality Feature Fusion Network for Few-Shot 3D Point Cloud Classification

Authors: Yang, Minmin*; Chen, Jiajing; Velipasalar, Senem Description: Recent years have witnessed significant progress in the ...

Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues

Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues

Project Website: https://light.princeton.edu/gated3d/

[ICRA2024] 3D Object Detection from LiDAR-Radar Point Clouds Via Cross-Modal Feature Augmentation

[ICRA2024] 3D Object Detection from LiDAR-Radar Point Clouds Via Cross-Modal Feature Augmentation

[ICRA2024] Robust

Visual Object Tracking Demo (cross-modality)

Visual Object Tracking Demo (cross-modality)

This video demonstrates the

MonoEdge: Monocular 3D Object Detection Using Local Perspectives

MonoEdge: Monocular 3D Object Detection Using Local Perspectives

Authors: Zhu, Minghan*; Ge, Lingting; Wang, Panqu; Peng, Huei Description: We propose a novel approach for monocular

ECCV2024 GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection

ECCV2024 GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection

ECCV2024 GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection

CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection (The second version)

CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection (The second version)

Authors: Ching-Yu Tseng, Yi-Rong Chen, Hsin-Ying Lee, Tsung-Han Wu, Wen-Chin Chen, Winston H. Hsu Project Page: ...

CCF: Complementary Collaborative Fusion for Domain Generalized Multi-Modal 3D Object Detection

CCF: Complementary Collaborative Fusion for Domain Generalized Multi-Modal 3D Object Detection

CCF: Complementary Collaborative Fusion for Domain Generalized Multi-Modal 3D Object Detection

Batch3DMOT: 3D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge Modality Attention

Batch3DMOT: 3D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge Modality Attention

Martin Buechner and Abhinav Valada

Learning Depth-Guided Convolutions for Monocular 3D Object Detection

Learning Depth-Guided Convolutions for Monocular 3D Object Detection

Authors: Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo Description:

Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection

Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection

Authors: Weijia Zhang; Dongnan Liu; Chao Ma; Weidong Cai Description: Monocular

Visual Object Tracking Demo (cross-modality) (score visualization)

Visual Object Tracking Demo (cross-modality) (score visualization)

This video demonstrates the

SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection

SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection

SparseFusion: Fusing Multi-

Categorical Depth Distribution Network for Monocular 3D Object Detection.

Categorical Depth Distribution Network for Monocular 3D Object Detection.

Categorical Depth Distribution Network for Monocular

Understanding and Processing Point Clouds | Deep Learning for 3D Object Detection, Part 1

Understanding and Processing Point Clouds | Deep Learning for 3D Object Detection, Part 1

Lidar, which stands for “light