[17] Guiyang Luo, Hui Zhang, Quan Yuan, and Jinglin Li. Complementarity-enhanced and redundancy-minimized collaboration network for multi-agent perception. In Proceedings of the ACM International Conference on Multimedia (ACM MM), pages 3578-3586, 2022. 1
[18] Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al. Pytorch: An imperative style, high-performance deep learning library. Advances in Neural Information Processing Systems (NeurIPS), 32, 2019. 7
[19] Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas. Pointnet: Deep learning on point sets for 3d classification and segmentation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 652-660, 2017. 1
[20] Hang Qiu, Pohan Huang, Namo Asavisanu, Xiaochen Liu, Konstantinos Psounis, and Ramesh Govindan. Autocast: Scalable infrastructure-less cooperative perception for distributed collaborative driving. 2022. 8
[21] Linhao Qu, Shaolei Liu, Manning Wang, and Zhijian Song. Transmef: A transformer-based multi-exposure image fusion framework using self-supervised multi-task learning. In Proceedings of the AAAI Conference on Artificial Intelligence, pages 2126-2134, 2022. 3
[22] Linhao Qu, Siyu Liu, Xiaoyu Liu, Manning Wang, and Zhijian Song. Towards label-efficient automatic diagnosis and analysis: a comprehensive survey of advanced deep learning-based weakly-supervised, semi-supervised and self-supervised techniques in histopathological image analysis. Physics in Medicine & Biology, 2022. 3
[23] Linhao Qu, Xiaoyuan Luo, Shaolei Liu, Manning Wang, and Zhijian Song. Dgmil: Distribution guided multiple instance learning for whole slide image classification. In Medical Image Computing and Computer-Assisted Intervention (MICAAI), pages 24-34. Springer, 2022. 3
[24] Linhao Qu, Manning Wang, Zhijian Song, et al. Bi-directional weakly supervised knowledge distillation for whole slide image classification. Advances in Neural Information Processing Systems (NeurIPS), 35:15368-15381, 2022. 3
[25] Tika Ram and Khem Chand. Effect of drivers' risk perception and perception of driving tasks on road safety attitude. Transportation Research Part F: Traffic Psychology and Behaviour, 42:162-176, 2016. 1
[26] Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi. You only look once: Unified, real-time object detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 779-788, 2016. 1
[27] Eduardo Hugo Sanchez, Mathieu Serrurier, and Mathias Ortner. Learning disentangled representations via mutual information estimation. In Proceedings of the European Conference on Computer Vision (ECCV), pages 205-221. Springer, 2020. 7
[28] Amanpreet Singh, Tushar Jain, and Sainbayar Sukhbaatar. Learning when to communicate at scale in multiagent cooperative and competitive tasks. arXiv preprint arXiv:1812.09755, 2018. 3
[29] Sainbayar Sukhbaatar, Rob Fergus, et al. Learning multiagent communication with backpropagation. Advances in Neural Information Processing Systems (NeurIPS), 29, 2016. 3
[30] Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. Attention is all you need. Advances in Neural Information Processing Systems (NeurIPS), 30, 2017. 5
[31] Binglu Wang, Lei Zhang, Zhaozhong Wang, Yongqiang Zhao, and Tianfei Zhou. Core: Cooperative reconstruction for multi-agent perception. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pages 8710-8720, October 2023. 1
[32] Tianhang Wang, Guang Chen, Kai Chen, Zhengfa Liu, Bo Zhang, Alois Knoll, and Changjun Jiang. Umc: A unified bandwidth-efficient and multi-resolution based collaborative perception framework. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pages 8187-8196, October 2023. 1, 2