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3D Multi-object tracking (MOT) is crucial to autonomous systems.
The Hungarian Method for the Assignment Problem
H W Kuhn · 1955
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A New Model for Learning in Graph Domains
Marco Gori, Gabriele Monfardini, and Franco Scarselli · 2005
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Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics
Keni Bernardin and Rainer Stiefelhagen · 2008
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Global Data Association for Multi-Object Tracking Using Network Flows
Li Zhang, Yuan Li, and Ramakant Nevatia · 2008
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Globally-Optimal Greedy Algorithms for Tracking a Variable Number of Objects
Hamed Pirsiavash, Deva Ramanan, and Charless C Fowlkes · 2011
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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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Dropout: A Simple Way to Prevent Neural Networks from Overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 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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Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan and Andrew Zisserman · 2015
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Simple Online and Realtime Tracking
Alex Bewley, Zongyuan Ge, Lionel Ott, Fabio Ramos, and Ben Upcroft · 2016
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Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator
Namhoon Lee, Xinshuo Weng, Vishnu Naresh Boddeti, Yu Zhang, Fares Beainy, Kris Kitani, and Takeo Kanade · 2016
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High-Speed Tracking-by-Detection without Using Image Information
Erik Bochinski, Volker Eiselein, and Thomas Sikora · 2017
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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Ian Cherabier, Christian Hane, Martin R Oswald, and Marc Pollefeys · 2017
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Inductive Representation Learning on Large Graphs
William L. Hamilton, Rex Ying, and Jure Leskovec · 2017
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Semi-Supervised Classification with Graph Convolutional Networks
Thomas N. Kipf and Max Welling · 2017
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Combined Image- and World-Space Tracking in Traffic Scenes
Aljosa Osep, Wolfgang Mehner, Markus Mathias, and Bastian Leibe · 2017
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PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Charles R Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Accurate Single Stage Detector Using Recurrent Rolling Convolution
Jimmy Ren, Xiaohao Chen, Jianbo Liu, Wenxiu Sun, Jiahao Pang, Qiong Yan, Yu Wing Tai, and Li Xu · 2017
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Deep Affinity Network for Multiple Object Tracking
Shijie Sun, Naveed Akhtar, Huansheng Song, Ajmal Mian, and Mubarak Shah · 2017
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Simple Online and Realtime Tracking with a Deep Association Metric
Nicolai Wojke, Alex Bewley, and Dietrich Paulus · 2017
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End-to-End Learning of Multi-Sensor 3D Tracking by Detection
Davi Frossard and Raquel Urtasun · 2018
Cited alongside, same era.
Relation Networks for Object Detection
Han Hu, Jiayuan Gu, Zheng Zhang, Jifeng Dai, and Yichen Wei · 2018
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Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net
Wenjie Luo, Bin Yang, and Raquel Urtasun · 2018
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Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering
Samuel Scheidegger, Joachim Benjaminsson, Emil Rosenberg, Amrit Krishnan, and Karl Granstr · 2018
Cited alongside, same era.
Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking
Sarthak Sharma, Junaid Ahmed Ansari, J. Krishna Murthy, and K. Madhava Krishna · 2018
Cited alongside, same era.
Attention-Based Graph Neural Network for Semi-Supervised Learning
Forecasting Time-to-Collision from Monocular Video: Feasibility, Dataset, and Challenges
Aashi Manglik, Xinshuo Weng, Eshed Ohn-bar, and Kris M Kitani · 2019
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Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks
Christopher Morris, Martin Ritzert, Matthias Fey, William L Hamilton, Jan Eric Lenssen, Gaurav Rattan, and Martin Grohe · 2019
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Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks
Christopher Morris, Martin Ritzert, Matthias Fey, William L Hamilton, Jan Eric Lenssen, Gaurav Rattan, and Martin Grohe · 2019
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Skeleton-Based Action Recognition with Directed Graph Neural Networks
Lei Shi, Yifan Zhang, Jian Cheng, and Hanqing Lu · 2019
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PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
Shaoshuai Shi, Xiaogang Wang, and Hongsheng Li · 2019
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Kiran K. Thekumparampil, Chong Wang, Sewoong Oh, and Li-Jia Li · 2018
Cited alongside, same era.
Graph Attention Networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio · 2018
Cited alongside, same era.
Graph Attention Networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio · 2018
Cited alongside, same era.
Deep Reinforcement Learning for Autonomous Driving
Sen Wang, Daoyuan Jia, and Xinshuo Weng · 2018
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Videos as Space-Time Region Graphs
Xiaolong Wang and Abhinav Gupta · 2018
Cited alongside, same era.
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E. Sarma, Michael M. Bronstein, and Justin M. Solomon · 2018
Cited alongside, same era.
Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision
Xinshuo Weng, Shangxuan Wu, Fares Beainy, and Kris Kitani · 2018
Cited alongside, same era.
Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, and Bastian Leibe · 2019
Later among the works it cites.
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E. Sarma, Michael M. Bronstein, and Justin M. Solomon · 2019
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A Baseline for 3D Multi-Object Tracking
Xinshuo Weng and Kris Kitani · 2019
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Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud
Xinshuo Weng and Kris Kitani · 2019
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Unsupervised Graph Association for Person Re-identification
Jinlin Wu, Yang Yang, Hao Liu, Shengciao Liao, Zhen Lei, and Stan Z Li · 2019
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Spatial-Temporal Relation Networks for Multi-Object Tracking
Jiarui Xu, Yue Cao, Zheng Zhang, and Han Hu · 2019
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Frame-Wise Motion and Appearance for Real-time Multiple Object Tracking
Jimuyang Zhang, Sanping Zhou, Jinjun Wang, and Dong Huang · 2019
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Dual Graph Convolutional Network for Semantic Segmentation
Li Zhang, Xiangtai Li, Anurag Arnab, Kuiyuan Yang, Yunhai Tong, and Philip H. S. Torr · 2019
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Robust Multi-Modality Multi-Object Tracking
Wenwei Zhang, Hui Zhou, Shuyang Sun, Zhe Wang, Jianping Shi, and Chen Change Loy · 2019
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Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition
Rui Zhao, Kang Wang, Hui Su, and Qiang Ji · 2019
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Class-Balanced Grouping and Sampling for Point Cloud 3D Object Detection
Benjin Zhu, Zhengkai Jiang, Xiangxin Zhou, Zeming Li, and Gang Yu · 2019
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nuScenes: A Multimodal Dataset for Autonomous Driving
Holger Caesar, Varun Bankiti, Alex H Lang, Sourabh Vora, Venice Erin Liong, and Qiang Xu · 2020
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Learning Shape Representations for Clothing Variations in Person Re-Identification
Yu-Jhe Li, Zhengyi Luo, Xinshuo Weng, and Kris Kitani · 2020
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Unsupervised Sequence Forecasting of 100,000 Points for Unsupervised Trajectory Forecasting
Xinshuo Weng, Jianren Wang, Sergey Levine, Kris Kitani, and Nicholas Rhinehart · 2020
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Joint 3D Tracking and Forecasting with Graph Neural Network and Diversity Sampling
Xinshuo Weng, Ye Yuan, and Kris Kitani · 2020
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