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Occupancy prediction, aiming at predicting the occupancy status within voxelized 3D environment, is quickly gaining momentum within the autonomous driving community.
The hungarian method for the assignment problem
Harold W Kuhn · 1955
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Sgdr: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2016
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A point set generation network for 3d object reconstruction from a single image
Haoqiang Fan, Hao Su, and Leonidas J Guibas · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2018
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Semantickitti: A dataset for semantic scene understanding of lidar sequences
Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, and Jurgen Gall · 2019
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nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Scalability in perception for autonomous driving: Waymo open dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, et al · 2020
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Deformable detr: Deformable transformers for end-to-end object detection
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, and Jifeng Dai · 2020
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Bevdet: High-performance multi-camera 3d object detection in bird-eye-view
Junjie Huang, Guan Huang, Zheng Zhu, Yun Ye, and Dalong Du · 2021
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Conditional detr for fast training convergence
Depu Meng, Xiaokang Chen, Zejia Fan, Gang Zeng, Houqiang Li, Yuhui Yuan, Lei Sun, and Jingdong Wang · 2021
Cited alongside, same era.
Rethinking transformer-based set prediction for object detection
Zhiqing Sun, Shengcao Cao, Yiming Yang, and Kris M Kitani · 2021
Cited alongside, same era.
Monoscene: Monocular 3d semantic scene completion
Anh-Quan Cao and Raoul De Charette · 2022
Cited alongside, same era.
Sparse4d: Multi-view 3d object detection with sparse spatial-temporal fusion
Xuewu Lin, Tianwei Lin, Zixiang Pei, Lichao Huang, and Zhizhong Su · 2022
Cited alongside, same era.
Self-supervised point cloud prediction using 3d spatio-temporal convolutional networks
Benedikt Mersch, Xieyuanli Chen, Jens Behley, and Cyrill Stachniss · 2022
Cited alongside, same era.
Cotr: Compact occupancy transformer for vision-based 3d occupancy prediction
Qihang Ma, Xin Tan, Yanyun Qu, Lizhuang Ma, Zhizhong Zhang, and Yuan Xie · 2023
Later among the works it cites.
Renderocc: Vision-centric 3d occupancy prediction with 2d rendering supervision
Mingjie Pan, Jiaming Liu, Renrui Zhang, Peixiang Huang, Xiaoqi Li, Li Liu, and Shanghang Zhang · 2023
Later among the works it cites.
Occformer: Dual-path transformer for vision-based 3d semantic occupancy prediction
Yunpeng Zhang, Zheng Zhu, and Dalong Du · 2023
Later among the works it cites.
Curricular object manipulation in lidar-based object detection
Ziyue Zhu, Qiang Meng, Xiao Wang, Ke Wang, Liujiang Yan, and Jian Yang · 2023
Later among the works it cites.
Vision-informed flow field super-resolution with quaternion spatial modeling and dynamic fluid convolution
Qinglong Cao, Yuntian Chen, Ding Wang, Zhengqin Xu, Chao Ma, Xiaokang Yang, and Shiyi Chen · 2024
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Yining Shi, Jingyan Shen, Yifan Sun, Yunlong Wang, Jiaxin Li, Shiqi Sun, Kun Jiang, and Diange Yang · 2022
Cited alongside, same era.
Dino: Detr with improved denoising anchor boxes for end-to-end object detection
Hao Zhang, Feng Li, Shilong Liu, Lei Zhang, Hang Su, Jun Zhu, Lionel Ni, and Heung-Yeung Shum · 2022
Cited alongside, same era.
Tri-perspective view for vision-based 3d semantic occupancy prediction
Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, and Jiwen Lu · 2023
Cited alongside, same era.
Occupancydetr: Making semantic scene completion as straightforward as object detection
Yupeng Jia, Jie He, Runze Chen, Fang Zhao, and Haiyong Luo · 2023
Cited alongside, same era.
Point cloud forecasting as a proxy for 4d occupancy forecasting
Tarasha Khurana, Peiyun Hu, David Held, and Deva Ramanan · 2023
Cited alongside, same era.
Sparse4d v2: Recurrent temporal fusion with sparse model
Xuewu Lin, Tianwei Lin, Zixiang Pei, Lichao Huang, and Zhizhong Su · 2023
Cited alongside, same era.
Dn-detr: Accelerate detr training by introducing query denoising
Feng Li, Hao Zhang, Shilong Liu, Jian Guo, Lionel M Ni, and Lei Zhang
Cited in the paper.
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Small, versatile and mighty: A range-view perception framework
Qiang Meng, Xiao Wang, JiaBao Wang, Liujiang Yan, and Ke Wang · 2024
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Panossc: Exploring monocular panoptic 3d scene reconstruction for autonomous driving
Yining Shi, Jiusi Li, Kun Jiang, Ke Wang, Yunlong Wang, Mengmeng Yang, and Diange Yang · 2024
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Sparseocc: Rethinking sparse latent representation for vision-based semantic occupancy prediction
Pin Tang, Zhongdao Wang, Guoqing Wang, Jilai Zheng, Xiangxuan Ren, Bailan Feng, and Chao Ma · 2024
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Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving
Xiaoyu Tian, Tao Jiang, Longfei Yun, Yucheng Mao, Huitong Yang, Yue Wang, Yilun Wang, and Hang Zhao · 2024
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Towards stable 3d object detection
Jiabao Wang, Qiang Meng, Guochao Liu, Liujiang Yan, Ke Wang, Ming-Ming Cheng, and Qibin Hou · 2024
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Visual point cloud forecasting enables scalable autonomous driving
Zetong Yang, Li Chen, Yanan Sun, and Hongyang Li · 2024
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