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IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection Conference paper
Yin, Junbo, Shen, Jianbing, Chen, Runnan, Li, Wei, Yang, Ruigang, Frossard, Pascal, Wang, Wenguan. IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection[C]:IEEE Computer Society, 2024, 14905-14915.
Authors:  Yin, Junbo;  Shen, Jianbing;  Chen, Runnan;  Li, Wei;  Yang, Ruigang; et al.
Favorite | TC[Scopus]:3 | Submit date：2024/11/05
Point Cloud Compression  Computer Vision  Three-dimensional Displays  Collaboration  Object Detection  Benchmark Testing  Transformers  Multimodal  Object Detection  Point Cloud  Autonomous Driving  
DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection Conference paper
Li, Xiang, Yin, Junbo, Li, Wei, Xu, Chengzhong, Yang, Ruigang, Shen, Jianbing. DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection[C], 2024, 3208-3215.
Authors:  Li, Xiang;  Yin, Junbo;  Li, Wei;  Xu, Chengzhong;  Yang, Ruigang; et al.
Favorite | TC[Scopus]:2 | Submit date：2024/05/16
Cv: Vision For Robotics & Autonomous Driving  Cv: Object Detection & Categorization  
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection From Point Clouds Journal article
Yin,Junbo, Shen,Jianbing, Gao,Xin, Crandall,David J., Yang,Ruigang. Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection From Point Clouds[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(8), 9822-9835.
Authors:  ; et al.
Favorite | TC[WOS]:48 TC[Scopus]:41  IF:20.8/22.2 | Submit date：2023/08/03
3d Video Object Detection  Autonomous Driving  Graph Neural Network  Point Cloud  Transformer Attention  
SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud Conference paper
Wang, Yan, Yin, Junbo, Li, Wei, Frossard, Pascal, Yang, Ruigang, Shen, Jianbing. SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud[C]:AAAI Press, 2023, 2707-2715.
Authors:  ; et al.
Favorite | TC[Scopus]:21 | Submit date：2023/09/27
LWSIS: LiDAR-Guided Weakly Supervised Instance Segmentation for Autonomous Driving Conference paper
Li, Xiang, Yin, Junbo, Shi, Botian, Li, Yikang, Yang, Ruigang, Shen, Jianbing. LWSIS: LiDAR-Guided Weakly Supervised Instance Segmentation for Autonomous Driving[C]:AAAI Press, 2023, 1433-1441.
Authors:  Li, Xiang;  Yin, Junbo;  Shi, Botian;  Li, Yikang;  Yang, Ruigang; et al.
Favorite | TC[Scopus]:5 | Submit date：2023/09/27
Vision For Robotics & Autonomous Driving  Multi-modal Vision  Segmentation  
ProposalContrast: Unsupervised Pre-training for LiDAR-Based 3D Object Detection Conference paper
Yin, Junbo, Zhou, Dingfu, Zhang, Liangjun, Fang, Jin, Xu, Cheng Zhong, Shen, Jianbing, Wang, Wenguan. ProposalContrast: Unsupervised Pre-training for LiDAR-Based 3D Object Detection[C]:SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, 2022, 17-33.
Authors:  Yin, Junbo;  Zhou, Dingfu;  Zhang, Liangjun;  Fang, Jin;  Xu, Cheng Zhong; et al.
Favorite | TC[WOS]:33 TC[Scopus]:48 | Submit date：2023/01/30
3d Object Detection  Unsupervised Point Cloud Pre-training  
BRNet: Exploring Comprehensive Features for Monocular Depth Estimation Conference paper
Han, Wencheng, Yin, Junbo, Jin, Xiaogang, Dai, Xiangdong, Shen, Jianbing. BRNet: Exploring Comprehensive Features for Monocular Depth Estimation[C], 2022, 586-602.
Authors:  Han, Wencheng;  Yin, Junbo;  Jin, Xiaogang;  Dai, Xiangdong;  Shen, Jianbing
Favorite | TC[WOS]:13 TC[Scopus]:17 | Submit date：2023/01/30
Semi-supervised 3D Object Detection with Proficient Teachers Conference paper
Yin, Junbo, Fang, Jin, Zhou, Dingfu, Zhang, Liangjun, Xu, Cheng Zhong, Shen, Jianbing, Wang, Wenguan. Semi-supervised 3D Object Detection with Proficient Teachers[C]:SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, 2022, 727-743.
Authors:  Yin, Junbo;  Fang, Jin;  Zhou, Dingfu;  Zhang, Liangjun;  Xu, Cheng Zhong; et al.
Favorite | TC[WOS]:35 TC[Scopus]:47 | Submit date：2023/01/30
3d Object Detection  Point Cloud  Semi-supervised Learning  
ProposalContrast: Unsupervised Pre-training for LiDAR-Based 3D Object Detection Conference paper
Junbo, Yin, Junbo, Yin, Liangjun, Zhang, Jin, Fang, Dingfu, Zhou, Cheng-Zhong, Xu, Jianbing, Shen, Wenguan, Wang. ProposalContrast: Unsupervised Pre-training for LiDAR-Based 3D Object Detection[C], 2022.
Authors:  Junbo, Yin;  Junbo, Yin;  Liangjun, Zhang;  Jin, Fang;  Dingfu, Zhou; et al.
Favorite | TC[WOS]:33 TC[Scopus]:48 | Submit date：2023/08/08
3d Object Detection  Unsupervised Point Cloud Pre-training  
Semi-supervised 3D Object Detection with Proficient Teachers Conference paper
Junbo, Yin, Jin, Fang, Dingfu, Zhou, Liangjun, Zhang, Cheng-Zhong, Xu, Jianbing, Shen, Wenguan, Wang. Semi-supervised 3D Object Detection with Proficient Teachers[C], 2022.
Authors:  Junbo, Yin;  Jin, Fang;  Dingfu, Zhou;  Liangjun, Zhang;  Cheng-Zhong, Xu; et al.
Favorite | TC[WOS]:35 TC[Scopus]:47 | Submit date：2023/08/08
3d Object Detection  Semi-supervised Learning  Point Cloud