[33] Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, and Raquel Urtasun. V2vnet: Vehicle-to-vehicle communication for joint perception and prediction. In Proceedings of the European Conference on Computer Vision (ECCV), pages 605–621. Springer, 2020. 1, 2, 3, 4, 7, 8
[34] Sanghyun Woo, Jongchan Park, Joon-Young Lee, and In So Kweon. Cbam: Convolutional block attention module. In Proceedings of the European Conference on Computer Vision (ECCV), pages 3–19, 2018. 4
[35] Pengxiang Wu, Siheng Chen, and Dimitris N Metaxas. Motionnet: Joint perception and motion prediction for autonomous driving based on bird's eye view maps. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 11385-11395, 2020. 4
[36] Runsheng Xu, Yi Guo, Xu Han, Xin Xia, Hao Xiang, and Jiaqi Ma. Opencda: an open cooperative driving automation framework integrated with co-simulation. In 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), pages 1155-1162. IEEE, 2021. 7
[37] Runsheng Xu, Jinlong Li, Xiaoyu Dong, Hongkai Yu, and Jiaqi Ma. Bridging the domain gap for multi-agent perception. In IEEE International Conference on Robotics and Automation (ICRA), pages 6035-6042. IEEE, 2023. 2, 3
[38] Runsheng Xu, Zhengzhong Tu, Hao Xiang, Wei Shao, Bolei Zhou, and Jiaqi Ma. Cobevt: Cooperative bird's eye view semantic segmentation with sparse transformers. In Conference on Robot Learning (CoRL), 2022. 1, 3, 7, 8, 10
[39] Runsheng Xu, Xin Xia, Jinlong Li, Hanzhao Li, Shuo Zhang, Zhengzhong Tu, Zonglin Meng, Hao Xiang, Xiaoyu Dong, Rui Song, et al. V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 13712–13722, 2023. 1
[40] Runsheng Xu, Hao Xiang, Zhengzhong Tu, Xin Xia, Ming-Hsuan Yang, and Jiaqi Ma. V2x-vit: Vehicle-to-everything cooperative perception with vision transformer. In Proceedings of the European Conference on Computer Vision (ECCV), pages 107-124. Springer, 2022. 1, 2, 3, 4, 5, 7, 8, 10
[41] Runsheng Xu, Hao Xiang, Xin Xia, Xu Han, Jinlong Li, and Jiaqi Ma. Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication. In Proceedings of the International Conference on Robotics and Automation (ICRA), pages 2583–2589. IEEE, 2022. 2, 5, 7, 8
[42] Dingkang Yang, Zhaoyu Chen, Yuzheng Wang, Shunli Wang, Mingcheng Li, Siao Liu, Xiao Zhao, Shuai Huang, Zhiyan Dong, Peng Zhai, and Lihua Zhang. Context de-confounded emotion recognition. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 19005-19015, June 2023. 3
[43] Dingkang Yang, Shuai Huang, Haopeng Kuang, Yangtao Du, and Lihua Zhang. Disentangled representation learning for multimodal emotion recognition. In Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), page 1642-1651, 2022. 3
[44] Dingkang Yang, Shuai Huang, Yang Liu, and Lihua Zhang. Contextual and cross-modal interaction for multi-modal speech emotion recognition. IEEE Signal Processing Letters, 29:2093-2097, 2022. 3
[45] Dingkang Yang, Shuai Huang, Shunli Wang, Yang Liu, Peng Zhai, Liuzhen Su, Mingcheng Li, and Lihua Zhang. Emotion recognition for multiple context awareness. In Proceedings of the European Conference on Computer Vision (ECCV), volume 13697, pages 144-162. Springer, 2022. 3
[46] Dingkang Yang, Shuai Huang, Zhi Xu, Zhenpeng Li, Shunli Wang, Mingcheng Li, Yuzheng Wang, Yang Liu, Kun Yang, Zhaoyu Chen, Yan Wang, Jing Liu, Peixuan Zhang, Peng Zhai, and Lihua Zhang. Aide: A vision-driven multi-view, multi-modal, multi-tasking dataset for assistive driving perception. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pages 20459-20470, October 2023. 1