Fetching the paper…
Reading the bibliography…
Recent research in multi-task learning reveals the benefit of solving related problems in a single neural network.
CVPR19 Tracking and Detection Challenge: How crowded can it get?
Dendorfer, P.; Rezatofighi, H.; Milan, A.; Shi, J.; Cremers, D.; Reid, I.; Roth, S.; Schindler, K.; and Leal-Taixé, L. 2019 · 1906
Earlier work this paper cites.
A new approach to linear filtering and prediction problems
Kalman, R. E. 1960 · 1960
Earlier work this paper cites.
Probabilistic 3D Multi-Object Tracking for Autonomous Driving
Chiu, H.-k.; Prioletti, A.; Li, J.; and Bohg, J. 2020 · 2001
Earlier work this paper cites.
Evaluating multiple object tracking performance: the clear mot metrics
Bernardin, K.; and Stiefelhagen, R. 2008 · 2008
Earlier work this paper cites.
Model based vehicle tracking for autonomous driving in urban environments
Petrovskaya, A.; and Thrun, S. 2008 · 2008
Earlier work this paper cites.
I’ll keep an eye on you: Home robot companion for elderly people with cognitive impairment
Gross, H.-M.; Schroeter, C.; Mueller, S.; Volkhardt, M.; Einhorn, E.; Bley, A.; Langner, T.; Martin, C.; and Merten, M. 2011 · 2011
Earlier work this paper cites.
Vision meets robotics: The kitti dataset
Geiger, A.; Lenz, P.; Stiller, C.; and Urtasun, R. 2013 · 2013
Earlier work this paper cites.
Spatially-sparse convolutional neural networks
Graham, B. 2014 · 2014
Earlier work this paper cites.
SimpleTrack: Adaptive trajectory compression with deterministic projection matrix for mobile sensor networks
Rana, R.; Yang, M.; Wark, T.; Chou, C. T.; and Hu, W. 2014 · 2014
Earlier work this paper cites.
Fast r-cnn
Girshick, R. 2015 · 2015
Earlier work this paper cites.
MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking
Leal-Taixé, L.; Milan, A.; Reid, I.; Roth, S.; and Schindler, K. 2015 · 2015
Earlier work this paper cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
Ren, S.; He, K.; Girshick, R.; and Sun, J. 2015 · 2015
Earlier work this paper cites.
Autonomous driving: technical, legal and social aspects
Maurer, M.; Gerdes, J. C.; Lenz, B.; and Winner, H. 2016 · 2016
Earlier work this paper cites.
Deformable convolutional networks
Dai, J.; Qi, H.; Xiong, Y.; Li, Y.; Zhang, G.; Hu, H.; and Wei, Y. 2017 · 2017
Earlier work this paper cites.
Mask r-cnn
He, K.; Gkioxari, G.; Dollár, P.; and Girshick, R. 2017 · 2017
Earlier work this paper cites.
Focal loss for dense object detection
Lin, T.-Y.; Goyal, P.; Girshick, R.; He, K.; and Dollár, P. 2017 · 2017
Earlier work this paper cites.
Pointnet: Deep learning on point sets for 3d classification and segmentation
Qi, C. R.; Su, H.; Mo, K.; and Guibas, L. J. 2017 · 2017
Earlier work this paper cites.
Improved deep neural network object tracking system for applications in home robotics
Erol, B. A.; Majumdar, A.; Lwowski, J.; Benavidez, P.; Rad, P.; and Jamshidi, M. 2018 · 2018
Cited alongside, same era.
Lidar for self-driving cars
Hecht, J. 2018 · 2018
Cited alongside, same era.
Fixing weight decay regularization in adam
Loshchilov, I.; and Hutter, F. 2018 · 2018
Cited alongside, same era.
Message passing algorithms for scalable multitarget tracking
Meyer, F.; Kropfreiter, T.; Williams, J. L.; Lau, R.; Hlawatsch, F.; Braca, P.; and Win, M. Z. 2018 · 2018
Cited alongside, same era.
Second: Sparsely embedded convolutional detection
Yan, Y.; Mao, Y.; and Li, B. 2018 · 2018
Cited alongside, same era.
Voxelnet: End-to-end learning for point cloud based 3d object detection
Zhou, Y.; and Tuzel, O. 2018 · 2018
Cited alongside, same era.
3dssd: Point-based 3d single stage object detector
Yang, Z.; Sun, Y.; Liu, S.; and Jia, J. 2020 · 2020
Later among the works it cites.
Robust learning through cross-task consistency
Zamir, A. R.; Sax, A.; Cheerla, N.; Suri, R.; Cao, Z.; Malik, J.; and Guibas, L. J. 2020 · 2020
Later among the works it cites.
A comprehensive survey on transfer learning
Zhuang, F.; Qi, Z.; Duan, K.; Xi, D.; Zhu, Y.; Zhu, H.; Xiong, H.; and He, Q. 2020 · 2020
Later among the works it cites.
Voxel r-cnn: Towards high performance voxel-based 3d object detection
Deng, J.; Shi, S.; Li, P.; Zhou, W.; Zhang, Y.; and Li, H. 2021 · 2021
Later among the works it cites.
Exploring simple 3d multi-object tracking for autonomous driving
Luo, C.; Yang, X.; and Yuille, A. 2021 · 2021
Later among the works it cites.
Jrdb: A dataset and benchmark of egocentric robot visual perception of humans in built environments
Martin-Martin, R.; Patel, M.; Rezatofighi, H.; Shenoi, A.; Gwak, J.; Frankel, E.; Sadeghian, A.; and Savarese, S. 2021 · 2021
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Fantrack: 3d multi-object tracking with feature association network
Baser, E.; Balasubramanian, V.; Bhattacharyya, P.; and Czarnecki, K. 2019 · 2019
Cited alongside, same era.
4d spatio-temporal convnets: Minkowski convolutional neural networks
Choy, C.; Gwak, J.; and Savarese, S. 2019 · 2019
Cited alongside, same era.
Mesh r-cnn
Gkioxari, G.; Malik, J.; and Johnson, J. 2019 · 2019
Cited alongside, same era.
Pointpillars: Fast encoders for object detection from point clouds
Lang, A. H.; Vora, S.; Caesar, H.; Zhou, L.; Yang, J.; and Beijbom, O. 2019 · 2019
Cited alongside, same era.
Generalized intersection over union: A metric and a loss for bounding box regression
Rezatofighi, H.; Tsoi, N.; Gwak, J.; Sadeghian, A.; Reid, I.; and Savarese, S. 2019 · 2019
Cited alongside, same era.
Pointrcnn: 3d object proposal generation and detection from point cloud
Shi, S.; Wang, X.; and Li, H. 2019 · 2019
Cited alongside, same era.
Later among the works it cites.
3D Multi-Object Tracking using Random Finite Set-based Multiple Measurement Models Filtering (RFS-M 3) for Autonomous Vehicles
Pang, S.; Morris, D.; and Radha, H. 2021 · 2021
Later among the works it cites.
Simpletrack: Understanding and rethinking 3d multi-object tracking
Pang, Z.; Li, Z.; and Wang, N. 2021 · 2021
Later among the works it cites.
Immortal Tracker: Tracklet Never Dies
Wang, Q.; Chen, Y.; Pang, Z.; Wang, N.; and Zhang, Z. 2021 · 2021
Later among the works it cites.
3d multi-object tracking in point clouds based on prediction confidence-guided data association
Wu, H.; Han, W.; Wen, C.; Li, X.; and Wang, C. 2021 · 2021
Later among the works it cites.
Center-based 3d object detection and tracking
Yin, T.; Zhou, X.; and Krahenbuhl, P. 2021 · 2021
Later among the works it cites.
A survey on multi-task learning
Zhang, Y.; and Yang, Q. 2021 · 2021
Later among the works it cites.
Transfusion: Robust lidar-camera fusion for 3d object detection with transformers
Bai, X.; Hu, Z.; Zhu, X.; Huang, Q.; Chen, Y.; Fu, H.; and Tai, C.-L. 2022 · 2022
Closest in time.
Neural Enhanced Belief Propagation for Data Assocation in Multiobject Tracking
Liang, M.; and Meyer, F. 2022 · 2022
Closest in time.
GNN-PMB: A Simple but Effective Online 3D Multi-Object Tracker without Bells and Whistles
Liu, J.; Bai, L.; Xia, Y.; Huang, T.; and Zhu, B. 2022 · 2022
Closest in time.
Learnable online graph representations for 3d multi-object tracking
Zaech, J.-N.; Liniger, A.; Dai, D.; Danelljan, M.; and Van Gool, L. 2022 · 2022
Closest in time.