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Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene Conference paper
Zhang, Ruiyang, Zhang, Hu, Yu, Hang, Zheng, Zhedong. Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene[C], 2025, 249-266.
Authors:  Zhang, Ruiyang;  Zhang, Hu;  Yu, Hang;  Zheng, Zhedong
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2025/01/22
2D Scene Understanding  Self-paced Learning  Unsupervised 3D Object Detection  Unsupervised Learning  
GraphBEV: Towards Robust BEV Feature Alignment for Multi-modal 3D Object Detection Conference paper
Song, Ziying, Yang, Lei, Xu, Shaoqing, Liu, Lin, Xu, Dongyang, Jia, Caiyan, Jia, Feiyang, Wang, Li. GraphBEV: Towards Robust BEV Feature Alignment for Multi-modal 3D Object Detection[C], 2025, 347-366.
Authors:  Song, Ziying;  Yang, Lei;  Xu, Shaoqing;  Liu, Lin;  Xu, Dongyang; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2025/01/22
3D Object Detection  Bird’s-Eye-View (BEV) Representation  Feature Alignment  Multi-Modal Fusion  
RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception Conference paper
Li, Chunliang, Han, Wencheng, Yin, Junbo, Zhao, Sanyuan, Shen, Jianbing. RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception[C], 2025, 273-292.
Authors:  Li, Chunliang;  Han, Wencheng;  Yin, Junbo;  Zhao, Sanyuan;  Shen, Jianbing
Favorite | TC[Scopus]:0 | Submit date：2025/01/22
3D Lane Detection  3D Object Detection  Multi-task Method.  
SparseInteraction: Sparse Semantic Guidance for Radar and Camera 3D Object Detection Conference paper
Xu, Shaoqing, Jiang, Shengyin, Li, Fang, Liu, Li, Song, Ziying, Yang, Bo, Yang, Zhi Xin. SparseInteraction: Sparse Semantic Guidance for Radar and Camera 3D Object Detection[C]:Association for Computing Machinery, Inc, 2024, 9224-9233.
Authors:  Xu, Shaoqing;  Jiang, Shengyin;  Li, Fang;  Liu, Li;  Song, Ziying; et al.
Favorite | TC[Scopus]:3 | Submit date：2024/12/05
3d Object Detection  Autonomous Driving  Multi-modal  
Weakly Supervised Monocular 3D Object Detection by Spatial-Temporal View Consistency Journal article
Han, Wencheng, Tao, Runzhou, Ling, Haibin, Shen, Jianbing. Weakly Supervised Monocular 3D Object Detection by Spatial-Temporal View Consistency[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.
Authors:  Han, Wencheng;  Tao, Runzhou;  Ling, Haibin;  Shen, Jianbing
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:20.8/22.2 | Submit date：2024/10/10
Monocular 3d Object Detection  Production Cars Data  Spatial-temporal Consistency  Weakly Supervised Learning  
AccessLens: Auto-detecting Inaccessibility of Everyday Objects Conference paper
Kwon, Nahyun, Lu, Qian, Hasham Qazi, Muhammad, Liu, Joanne, Oh, Changhoon, Kong, Shu, Kim, Jeeeun. AccessLens: Auto-detecting Inaccessibility of Everyday Objects[C]:Association for Computing Machinery, 2024, 963.
Authors:  Kwon, Nahyun;  Lu, Qian;  Hasham Qazi, Muhammad;  Liu, Joanne;  Oh, Changhoon; et al.
Adobe PDF | Favorite | TC[WOS]:0 TC[Scopus]:1 | Submit date：2024/06/20
3d Assistive Design  End-user Interface  Object Detection  
RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM Conference paper
Song, Ziying, Zhang, Guoxing, Liu, Lin, Yang, Lei, Xu, Shaoqing, Jia, Caiyan, Jia, Feiyang, Wang, Li. RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM[C]:International Joint Conferences on Artificial Intelligence, 2024, 1272-1280.
Authors:  Song, Ziying;  Zhang, Guoxing;  Liu, Lin;  Yang, Lei;  Xu, Shaoqing; et al.
Favorite | TC[Scopus]:1 | Submit date：2024/10/10
Computer Vision  Robotics  3d Computer Vision  Recognition (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:  Yin,Junbo;  Shen,Jianbing;  Gao,Xin;  Crandall,David J.;  Yang,Ruigang
Favorite | TC[WOS]:52 TC[Scopus]:45  IF:20.8/22.2 | Submit date：2023/08/03
3d Video Object Detection  Autonomous Driving  Graph Neural Network  Point Cloud  Transformer Attention  
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]:47 TC[Scopus]:59 | Submit date：2023/01/30
3d Object Detection  Unsupervised Point Cloud Pre-training  
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]:43 TC[Scopus]:52 | Submit date：2023/01/30
3d Object Detection  Point Cloud  Semi-supervised Learning