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Collaborative perception in autonomous driving significantly enhances the perception capabilities of individual agents.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Cbam: Convolutional block attention module
Sanghyun Woo, Jongchan Park, Joon-Young Lee, and In So Kweon · 2018
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SECOND: sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and Bo Li · 2018
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Voxelnet: End-to-end learning for point cloud based 3d object detection
Yin Zhou and Oncel Tuzel · 2018
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F-cooper: feature based cooperative perception for autonomous vehicle edge computing system using 3d point clouds
Qi Chen, Xu Ma, Sihai Tang, Jingda Guo, Qing Yang, and Song Fu · 2019
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Pointpillars: Fast encoders for object detection from point clouds
Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom · 2019
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Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc V. Le · 2019
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When2com: Multi-agent perception via communication graph grouping
Yen-Cheng Liu, Junjiao Tian, Nathaniel Glaser, and Zsolt Kira · 2020
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Cooperative perception for 3d object detection in driving scenarios using infrastructure sensors
Eduardo Arnold, Mehrdad Dianati, Robert de Temple, and Saber Fallah · 2022
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Visual prompting via image inpainting
Amir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, and Alexei Efros · 2022
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Visual prompt tuning
Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge J. Belongie, Bharath Hariharan, and Ser-Nam Lim · 2022
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Latency-aware collaborative perception
Zixing Lei, Shunli Ren, Yue Hu, Wenjun Zhang, and Siheng Chen · 2022
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Complementarity-enhanced and redundancy-minimized collaboration network for multi-agent perception
Guiyang Luo, Hui Zhang, Quan Yuan, and Jinglin Li · 2022
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OPV2V: an open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication
Runsheng Xu, Hao Xiang, Xin Xia, Xu Han, Jinlong Li, and Jiaqi Ma · 2022
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DAIR-V2X: A large-scale dataset for vehicle-infrastructure cooperative 3d object detection
Haibao Yu, Yizhen Luo, Mao Shu, Yiyi Huo, Zebang Yang, Yifeng Shi, Zhenglong Guo, Hanyu Li, Xing Hu, Jirui Yuan, and Zaiqing Nie · 2022
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Multi-prompt alignment for multi-source unsupervised domain adaptation
Haoran Chen, Xintong Han, Zuxuan Wu, and Yu-Gang Jiang · 2023
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Decorate the newcomers: visual domain prompt for continual test time adaptation
Yulu Gan, Yan Bai, Yihang Lou, Xianzheng Ma, Renrui Zhang, Nian Shi, and Lin Luo · 2023
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Collaborative perception in autonomous driving: Methods, datasets, and challenges
Yushan Han, Hui Zhang, Huifang Li, Yi Jin, Congyan Lang, and Yidong Li · 2023
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Learning domain-aware detection head with prompt tuning
Haochen Li, Rui Zhang, Hantao Yao, Xinkai Song, Yifan Hao, Yongwei Zhao, Ling Li, and Yunji Chen · 2023
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Bm2cp: Efficient collaborative perception with lidar-camera modalities
Binyu Zhao, Wei Zhang, and Zhaonian Zou · 2023
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Diprompt: Disentangled prompt tuning for multiple latent domain generalization in federated learning
Sikai Bai, Jie Zhang, Song Guo, Shuaicheng Li, Jingcai Guo, Jun Hou, Tao Han, and Xiaocheng Lu · 2024
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Vip-llava: Making large multimodal models understand arbitrary visual prompts
Mu Cai, Haotian Liu, Siva Karthik Mustikovela, Gregory P. Meyer, Yuning Chai, Dennis Park, and Yong Jae Lee · 2024
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Domain-controlled prompt learning
Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, and Xiaokang Yang · 2024
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Disentangled prompt representation for domain generalization
De Cheng, Zhipeng Xu, Xinyang Jiang, Nannan Wang, Dongsheng Li, and Xinbo Gao · 2024
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Communication-efficient collaborative perception via information filling with codebook
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Si Liu, Chen Gao, Yuan Chen, Xingyu Peng, Xianghao Kong, Kun Wang, Runsheng Xu, Wentao Jiang, Hao Xiang, Jiaqi Ma, and Miao Wang · 2023
Cited alongside, same era.
Robust collaborative 3d object detection in presence of pose errors
Yifan Lu, Quanhao Li, Baoan Liu, Mehrdad Dianati, Chen Feng, Siheng Chen, and Yanfeng Wang · 2023
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Prod: Prompting-to-disentangle domain knowledge for cross-domain few-shot image classification
Tianyi Ma, Yifan Sun, Zongxin Yang, and Yi Yang · 2023
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Ad-clip: Adapting domains in prompt space using clip
Mainak Singha, Harsh Pal, Ankit Jha, and Biplab Banerjee · 2023
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Collaborative 3d object detection for autonomous vehicles via learnable communications
Junyong Wang, Yuan Zeng, and Yi Gong · 2023
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Hm-vit: Hetero-modal vehicle-to-vehicle cooperative perception with vision transformer
Hao Xiang, Runsheng Xu, and Jiaqi Ma · 2023
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Bridging the domain gap for multi-agent perception
Runsheng Xu, Jinlong Li, Xiaoyu Dong, Hongkai Yu, and Jiaqi Ma · 2023
Cited alongside, same era.
Yue Hu, Juntong Peng, Sifei Liu, Junhao Ge, Si Liu, and Siheng Chen · 2024
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V2X-DGW: domain generalization for multi-agent perception under adverse weather conditions
Baolu Li, Jinlong Li, Xinyu Liu, Runsheng Xu, Zhengzhong Tu, Jiacheng Guo, Xiaopeng Li, and Hongkai Yu · 2024
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An extensible framework for open heterogeneous collaborative perception
Yifan Lu, Yue Hu, Yiqi Zhong, Dequan Wang, Yanfeng Wang, and Siheng Chen · 2024
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Interruption-aware cooperative perception for V2X communication-aided autonomous driving
Shunli Ren, Zixing Lei, Zi Wang, Mehrdad Dianati, Yafei Wang, Siheng Chen, and Wenjun Zhang · 2024
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Exploring sparse visual prompt for domain adaptive dense prediction
Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Zehui Chen, and Shanghang Zhang · 2024
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V2vformer++: Multi-modal vehicle-to-vehicle cooperative perception via global-local transformer
Hongbo Yin, Daxin Tian, Chunmian Lin, Xuting Duan, Jianshan Zhou, Dezong Zhao, and Dongpu Cao · 2024
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Plug and play: A representation enhanced domain adapter for collaborative perception
Tianyou Luo, Quan Yuan, Guiyang Luo, Yuchen Xia, Yujia Yang, and Jinglin Li · 2025
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Hetecooper: Feature collaboration graph for heterogeneous collaborative perception
Congzhang Shao, Guiyang Luo, Quan Yuan, Yifu Chen, Yilin Liu, Kexin Gong, and Jinglin Li · 2025
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