The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction
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Cites
Are we ready for autonomous driving? The KITTI vision benchmark suite
Geiger, A., Lenz, P., & Urtasun, R. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2012.6248074 · Cited by 14,897
Self-citationInductive Representation Learning on Large Graphs
Hamilton, W. L., Ying, R., & Leskovec, J. (2017) · arXiv · doi:10.48550/arxiv.1706.02216 · Cited by 10,639
Multi-view 3D Object Detection Network for Autonomous Driving
Chen, X., Ma, H., Wan, J., Li, B., & Xia, T. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.691 · Cited by 3,450
PIXOR: Real-time 3D Object Detection from Point Clouds
Yang, B., Luo, W., & Urtasun, R. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00798 · Cited by 1,249
Self-citationLook-Ahead Before You Leap: End-to-End Active Recognition by Forecasting the Effect of Motion
Jayaraman, D., & Grauman, K. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46454-1_30 · Cited by 75
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data
Casas, S., Gulino, C., Liao, R., & Urtasun, R. (2019) · arXiv · doi:10.48550/arxiv.1910.08233 · Cited by 44
Self-citation
Cited by
DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection
Yu, H., Luo, Y., Shu, M., Huo, Y., Yang, Z., Shi, Y., Guo, Z., Li, H., Hu, X., Yuan, J., et al. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52688.2022.02067 · Cited by 577
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer
Xu, R., Xiang, H., Tu, Z., Xia, X., Yang, M.-H., & Ma, J. (2022) · Lecture Notes in Computer Science · doi:10.1007/978-3-031-19842-7_7 · Cited by 584
Xu, R., Xiang, H., Xia, X., Han, X., Li, J., & Ma, J. (2022) · 2022 International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra46639.2022.9812038 · Cited by 586
Perception Task Offloading With Collaborative Computation for Autonomous Driving
Xiao, Z., Shu, J., Jiang, H., Min, G., Chen, H., & Han, Z. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3227027 · Cited by 394
Multi-Modal 3D Object Detection in Autonomous Driving: A Survey and Taxonomy
Wang, L., Zhang, X., Song, Z., Bi, J., Zhang, G., Wei, H., Tang, L., Yang, L., Li, J., Jia, C., et al. (2023) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2023.3264658 · Cited by 269
Metadata
- Authors
- Wang, T.-H., Manivasagam, S., Liang, M., Yang, B., Zeng, W., & Urtasun, R.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 605-621
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W3109991383
- Cited by
- 534
- References
- 6
- FWCI
- 28.52
- Type
- conference paper
- Language
- en
- Open access
- green
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- The paper
- Wang, T.-H., Manivasagam, S., Liang, M., Yang, B., Zeng, W., & Urtasun, R. (2020). V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-58536-5_36
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
