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3D single object tracking (3D SOT) in LiDAR point clouds plays a crucial role in autonomous driving.
Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Lstm neural networks for language modeling
Martin Sundermeyer, Ralf Schlüter, and Hermann Ney · 2012
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Online object tracking: A benchmark
Yi Wu, Jongwoo Lim, and Ming-Hsuan Yang · 2013
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Empirical evaluation of gated recurrent neural networks on sequence modeling
Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio · 2014
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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High performance visual tracking with siamese region proposal network
Bo Li, Junjie Yan, Wei Wu, Zheng Zhu, and Xiaolin Hu · 2018
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Second: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and Bo Li · 2018
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Distractor-aware siamese networks for visual object tracking
Zheng Zhu, Qiang Wang, Bo Li, Wei Wu, Junjie Yan, and Weiming Hu · 2018
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Learning discriminative model prediction for tracking
Goutam Bhat, Martin Danelljan, Luc Van Gool, and Radu Timofte · 2019
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Leveraging shape completion for 3d siamese tracking
Silvio Giancola, Jesus Zarzar, and Bernard Ghanem · 2019
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Siamrpn++: Evolution of siamese visual tracking with very deep networks
Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, and Junjie Yan · 2019
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Deep hough voting for 3d object detection in point clouds
Charles R Qi, Or Litany, Kaiming He, and Leonidas J Guibas · 2019
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Pointrcnn: 3d object proposal generation and detection from point cloud
Shaoshuai Shi, Xiaogang Wang, and Hongsheng Li · 2019
Cited alongside, same era.
Kpconv: Flexible and deformable convolution for point clouds
Hugues Thomas, Charles R Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, and Leonidas J Guibas · 2019
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Fooling automated surveillance cameras: adversarial patches to attack person detection
Simen Thys, Wiebe Van Ranst, and Toon Goedemé · 2019
Cited alongside, same era.
Efficient bird eye view proposals for 3d siamese tracking
Jesus Zarzar, Silvio Giancola, and Bernard Ghanem · 2019
Cited alongside, same era.
Know your surroundings: Exploiting scene information for object tracking
Goutam Bhat, Martin Danelljan, Luc Van Gool, and Radu Timofte · 2020
Cited alongside, same era.
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
Xinshuo Weng, Jianren Wang, David Held, and Kris Kitani · 2020
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Siamfc++: Towards robust and accurate visual tracking with target estimation guidelines
Yinda Xu, Zeyu Wang, Zuoxin Li, Ye Yuan, and Gang Yu · 2020
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Lidar-based online 3d video object detection with graph-based message passing and spatiotemporal transformer attention
Junbo Yin, Jianbing Shen, Chenye Guan, Dingfu Zhou, and Ruigang Yang · 2020
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Center-based 3d object detection and tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krähenbühl · 2020
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3d object tracking with transformer
Yubo Cui, Zheng Fang, Jiayao Shan, Zuoxu Gu, and Sifan Zhou · 2021
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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
Cited alongside, same era.
Probabilistic 3d multi-object tracking for autonomous driving
Hsu-kuang Chiu, Antonio Prioletti, Jie Li, and Jeannette Bohg · 2020
Cited alongside, same era.
3d-siamrpn: An end-to-end learning method for real-time 3d single object tracking using raw point cloud
Zheng Fang, Sifan Zhou, Yubo Cui, and Sebastian Scherer · 2020
Cited alongside, same era.
What you see is what you get: Exploiting visibility for 3d object detection
Peiyun Hu, Jason Ziglar, David Held, and Deva Ramanan · 2020
Cited alongside, same era.
An lstm approach to temporal 3d object detection in lidar point clouds
Rui Huang, Wanyue Zhang, Abhijit Kundu, Caroline Pantofaru, David A Ross, Thomas Funkhouser, and Alireza Fathi · 2020
Cited alongside, same era.
Pnpnet: End-to-end perception and prediction with tracking in the loop
Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, and Raquel Urtasun · 2020
Cited alongside, same era.
P2b: Point-to-box network for 3d object tracking in point clouds
Haozhe Qi, Chen Feng, Zhiguo Cao, Feng Zhao, and Yang Xiao · 2020
Cited alongside, same era.
Point 4d transformer networks for spatio-temporal modeling in point cloud videos
Hehe Fan, Yi Yang, and Mohan Kankanhalli · 2021
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3d siamese voxel-to-bev tracker for sparse point clouds
Le Hui, Lingpeng Wang, Mingmei Cheng, Jin Xie, and Jian Yang · 2021
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Exploring simple 3d multi-object tracking for autonomous driving
Chenxu Luo, Xiaodong Yang, and Alan Yuille · 2021
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4d-net for learned multi-modal alignment
AJ Piergiovanni, Vincent Casser, Michael S Ryoo, and Anelia Angelova · 2021
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Offboard 3d object detection from point cloud sequences
Charles R Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, and Dragomir Anguelov · 2021
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Ptt: Point-track-transformer module for 3d single object tracking in point clouds
Jiayao Shan, Sifan Zhou, Zheng Fang, and Yubo Cui · 2021
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Transformer meets tracker: Exploiting temporal context for robust visual tracking
Ning Wang, Wengang Zhou, Jie Wang, and Houqiang Li · 2021
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Center-based 3d object detection and tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krähenbühl · 2021
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Box-aware feature enhancement for single object tracking on point clouds
Chaoda Zheng, Xu Yan, Jiantao Gao, Weibing Zhao, Wei Zhang, Zhen Li, and Shuguang Cui · 2021
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