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Accurately perceiving and tracking instances over time is essential for the decision-making processes of autonomous agents interacting safely in dynamic environments.
The Hungarian Method for the Assignment Problem
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A Boosted Particle Filter: Multitarget Detection and Tracking
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Dimensionality Reduction by Learning an Invariant Mapping
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Are We Ready for Autonomous Driving? The KITTI Vision Benchmark Suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Density-based Clustering based on Hierarchical Density Estimates
Ricardo JGB Campello, Davoud Moulavi, and Jörg Sander · 2013
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Microsoft COCO: Common Objects in Context
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V-net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
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Decoupled Weight Decay Regularization
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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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Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates
Leslie N. Smith and Nicholay Topin · 2017
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Scene Parsing through ADE20K Dataset
Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, and Antonio Torralba · 2017
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Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments
Jens Behley and Cyrill Stachniss · 2018
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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 · 2018
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Tangent Convolutions for Dense Prediction in 3D
Maxim Tatarchenko, Jaesik Park, Vladlen Koltun, and Qian-Yi Zhou · 2018
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SECOND: Sparsely Embedded Convolutional Detection
Yan Yan, Yuxing Mao, and Bo Li · 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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4D Spatio-Temporal Convnets: Minkowski Convolutional Neural Networks
Christopher Choy, JunYoung Gwak, and Silvio Savarese · 2019
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Panoptic Segmentation
Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother, and Piotr Dollár · 2019
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RangeNet++: Fast and Accurate LiDAR Semantic Segmentation
Andres Milioto, Ignacio Vizzo, Jens Behley, and C. Stachniss · 2019
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Just Go With the Flow: Self-Supervised Scene Flow Estimation
Himangi Mittal, Brian Okorn, and David Held · 2019
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PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2019
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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, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott M. Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, and Dragomir Anguelov · 2019
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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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MOTS: Multi-Object Tracking and Segmentation
Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, and B. Leibe · 2019
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3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
Xinshuo Weng, Jianren Wang, David Held, and Kris Kitani · 2019
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Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation
Zixiang Zhou, Yang Zhang, and Hassan Foroosh · 2021
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Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation
Xinge Zhu, Hui Zhou, Tai Wang, Fangzhou Hong, Yuexin Ma, Wei Li, Hongsheng Li, and Dahua Lin · 2021
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Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng, Ishan Misra, Alexander G Schwing, Alexander Kirillov, and Rohit Girdhar · 2022
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Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking
Whye Kit Fong, Rohit Mohan, Juana Valeria Hurtado, Lubing Zhou, Holger Caesar, Oscar Beijbom, and Abhinav Valada · 2022
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LiDAR-based 4D Panoptic Segmentation via Dynamic Shifting Network
Fangzhou Hong, Hui Zhou, Xinge Zhu, Hongsheng Li, and Ziwei Liu · 2022
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Video Instance Segmentation
Linjie Yang, Yuchen Fan, and Ning Xu · 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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Lidar-based Recurrent 3D Semantic Segmentation with Temporal Memory Alignment
Fabian Duerr, Mario Pfaller, Hendrik Weigel, and Jürgen Beyerer · 2020
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3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation
Francis Engelmann, Martin Bokeloh, Alireza Fathi, Bastian Leibe, and Matthias Nießner · 2020
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PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, and Jiaya Jia · 2020
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SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds
Hanyu Shi, Guosheng Lin, Hao Wang, Tzu-Yi Hung, and Zhenhua Wang · 2020
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4D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object Proposal Generation and Aggregation
Lars Kreuzberg, Idil Esen Zulfikar, Sabarinath Mahadevan, Francis Engelmann, and Bastian Leibe · 2022
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Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation via Clustering Pseudo Heatmap
Jinke Li, Xiao He, Yang Wen, Yuan Gao, Xiaoqiang Cheng, and Dan Zhang · 2022
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Contrastive Instance Association for 4D Panoptic Segmentation using Sequences of 3D Lidar Scans
Rodrigo Marcuzzi, Lucas Nunes, Louis Wiesmann, Ignacio Vizzo, Jens Behley, and Cyrill Stachniss · 2022
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Abstract Flow for Temporal Semantic Segmentation on the Permutohedral Lattice
Peer Schutt, Radu Alexandru Rosu, and Sven Behnke · 2022
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Superpoint Transformer for 3D Scene Instance Segmentation
Jiahao Sun, Chunmei Qing, Junpeng Tan, and Xiangmin Xu · 2022
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SoftGroup for 3D Instance Segmentation on 3D Point Clouds
Thang Vu, Kookhoi Kim, Tung M. Luu, Xuan Thanh Nguyen, and Chang D. Yoo · 2022
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Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation
Song Wang, Jianke Zhu, and Ruixiang Zhang · 2022
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4D-Former: Multimodal 4D Panoptic Segmentation
Ali Athar, Enxu Li, Sergio Casas, and Raquel Urtasun · 2023
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MemorySeg: Online Lidar Semantic Segmentation with a Latent Memory
Enxu Li, Sergio Casas, and Raquel Urtasun · 2023
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Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving
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Mask4D: End-to-End Mask-based 4D Panoptic Segmentation for LiDAR Sequences
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Mask3D for 3D Semantic Instance Segmentation
Jonas Schult, Francis Engelmann, Alexander Hermans, Or Litany, Siyu Tang, and Bastian Leibe · 2023
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PUPS: Point Cloud Unified Panoptic Segmentation
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4D Panoptic Segmentation as Invariant and Equivariant Field Prediction
Minghan Zhu, Shizong Han, Hong Cai, Shubhankar Borse, Maani Ghaffari Jadidi, and Fatih Porikli · 2023
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V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection
Yichao Shen, Zigang Geng, Yuhui Yuan, Yutong Lin, Ze Liu, Chunyu Wang, Han Hu, Nanning Zheng, and Baining Guo · 2024
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