Fetching the paper…
Reading the bibliography…
In this paper, we investigate improving the perception performance of autonomous vehicles through communication with other vehicles and road infrastructures.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Sgdr: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2016
Earlier work this paper cites.
CARLA: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
Earlier work this paper cites.
Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
Earlier work this paper cites.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
Earlier work this paper cites.
Smooth loss functions for deep top-k classification
Leonard Berrada, Andrew Zisserman, and M Pawan Kumar · 2018
Earlier work this paper cites.
3d semantic segmentation with submanifold sparse convolutional networks
Benjamin Graham, Martin Engelcke, and Laurens Van Der Maaten · 2018
Earlier work this paper cites.
Parallel feature pyramid network for object detection
Seung-Wook Kim, Hyong-Keun Kook, Jee-Young Sun, Mun-Cheon Kang, and Sung-Jea Ko · 2018
Earlier work this paper cites.
SECOND: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and Bo Li · 2018
Earlier work this paper cites.
Voxelnet: End-to-end learning for point cloud based 3d object detection
Yin Zhou and Oncel Tuzel · 2018
Earlier work this paper cites.
Pointpillars: Fast encoders for object detection from point clouds
Alex H Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom · 2019
Cited alongside, same era.
DiscoNet: Shapes learning on disconnected manifolds for 3d editing
Eloi Mehr, Ariane Jourdan, Nicolas Thome, Matthieu Cord, and Vincent Guitteny · 2019
Cited alongside, same era.
Class-balanced grouping and sampling for point cloud 3d object detection
Benjin Zhu, Zhengkai Jiang, Xiangxin Zhou, Zeming Li, and Gang Yu · 2019
Cited alongside, same era.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
Cited alongside, same era.
V2vnet: Vehicle-to-vehicle communication for joint perception and prediction
Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, and Raquel Urtasun · 2020
Feaco: Reaching robust feature-level consensus in noisy pose conditions
Jiaming Gu, Jingyu Zhang, Muyang Zhang, Weiliang Meng, Shibiao Xu, Jiguang Zhang, and Xiaopeng Zhang · 2023
Later among the works it cites.
Neighborhood attention transformer
Ali Hassani, Steven Walton, Jiachen Li, Shen Li, and Humphrey Shi · 2023
Later among the works it cites.
Ea-lss: Edge-aware lift-splat-shot framework for 3d bev object detection
Haotian Hu, Fanyi Wang, Jingwen Su, Yaonong Wang, Laifeng Hu, Weiye Fang, Jingwei Xu, and Zhiwang Zhang · 2023
Later among the works it cites.
Scaling up gans for text-to-image synthesis
Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, and Taesung Park · 2023
Later among the works it cites.
Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation
Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela L Rus, and Song Han · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
Cited alongside, same era.
Opencda: an open cooperative driving automation framework integrated with co-simulation
Runsheng Xu, Yi Guo, Xu Han, Xin Xia, Hao Xiang, and Jiaqi Ma · 2021
Cited alongside, same era.
Center-based 3d object detection and tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krahenbuhl · 2021
Cited alongside, same era.
Dilated neighborhood attention transformer
Ali Hassani and Humphrey Shi · 2022
Cited alongside, same era.
Where2comm: Communication-efficient collaborative perception via spatial confidence maps
Yue Hu, Shaoheng Fang, Zixing Lei, Yiqi Zhong, and Siheng Chen · 2022
Cited alongside, same era.
Pillarnet: Real-time and high-performance pillar-based 3d object detection
Guangsheng Shi, Ruifeng Li, and Chao Ma · 2022
Cited alongside, same era.
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, et al · 2022
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
Later among the works it cites.
Rethinking video vits: Sparse video tubes for joint image and video learning
AJ Piergiovanni, Weicheng Kuo, and Anelia Angelova · 2023
Later among the works it cites.
FRNet: Frustum-range networks for scalable lidar segmentation
Xiang Xu, Lingdong Kong, Hui Shuai, and Qingshan Liu · 2023
Later among the works it cites.
How2comm: Communication-efficient and collaboration-pragmatic multi-agent perception
Dingkang Yang, Kun Yang, Yuzheng Wang, Jing Liu, Zhi Xu, Rongbin Yin, Peng Zhai, and Lihua Zhang · 2023
Later among the works it cites.
Delivering arbitrary-modal semantic segmentation
Jiaming Zhang, Ruiping Liu, Hao Shi, Kailun Yang, Simon Reiß, Kunyu Peng, Haodong Fu, Kaiwei Wang, and Rainer Stiefelhagen · 2023
Later among the works it cites.
SeaBird: Segmentation in bird’s view with dice loss improves monocular 3d detection of large objects
Abhinav Kumar, Yuliang Guo, Xinyu Huang, Liu Ren, and Xiaoming Liu · 2024
Closest in time.
Point transformer v3: Simpler faster stronger
Xiaoyang Wu, Li Jiang, Peng-Shuai Wang, Zhijian Liu, Xihui Liu, Yu Qiao, Wanli Ouyang, Tong He, and Hengshuang Zhao · 2024
Closest in time.