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Tracking and reconstructing 3D objects from cluttered scenes are the key components for computer vision, robotics and autonomous driving systems.
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F. Chabot, M. Chaouch, J. Rabarisoa, C. Teuliere, and T. Chateau, “Deep manta: A coarse-to-fine many-task network for joint 2d and 3d vehicle analysis from monocular image,” in CVPR , 2017
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F. Engelmann, J. Stückler, and B. Leibe, “Samp: shape and motion priors for 4d vehicle reconstruction,” in WACV , 2017
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N. Wang, Y. Zhang, Z. Li, Y. Fu, W. Liu, and Y.-G. Jiang, “Pixel2mesh: Generating 3d mesh models from single rgb images,” in ECCV , 2018
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W. Luo, B. Yang, and R. Urtasun, “Fast and furious: Real time end-to-end 3d detection, tracking and motion forecasting with a single convolutional net,” in CVPR , 2018
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J. Ku, M. Mozifian, J. Lee, A. Harakeh, and S. L. Waslander, “Joint 3d proposal generation and object detection from view aggregation,” in IROS , 2018
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C. R. Qi, W. Liu, C. Wu, H. Su, and L. J. Guibas, “Frustum pointnets for 3d object detection from rgb-d data,” in CVPR , 2018
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Z. Chen and H. Zhang, “Learning implicit fields for generative shape modeling,” in CVPR , 2019
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L. Mescheder, M. Oechsle, M. Niemeyer, S. Nowozin, and A. Geiger, “Occupancy networks: Learning 3d reconstruction in function space,” in CVPR , 2019
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J. J. Park, P. Florence, J. Straub, R. Newcombe, and S. Lovegrove, “Deepsdf: Learning continuous signed distance functions for shape representation,” in CVPR , 2019
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S. Saito, T. Simon, J. Saragih, and H. Joo, “Pifuhd: Multi-level pixel-aligned implicit function for high-resolution 3d human digitization,” in CVPR , 2020
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2019
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S. Saito, Z. Huang, R. Natsume, S. Morishima, A. Kanazawa, and H. Li, “Pifu: Pixel-aligned implicit function for high-resolution clothed human digitization,” in ICCV , 2019
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M. Simon, K. Amende, A. Kraus, J. Honer, T. Samann, H. Kaulbersch, S. Milz, and H. Michael Gross, “Complexer-yolo: Real-time 3d object detection and tracking on semantic point clouds,” in CVPR Workshops , 2019
2019
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E. Baser, V. Balasubramanian, P. Bhattacharyya, and K. Czarnecki, “Fantrack: 3d multi-object tracking with feature association network,” in IEEE Intelligent Vehicles Symposium (IV) , 2019
2019
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S. Giancola, J. Zarzar, and B. Ghanem, “Leveraging shape completion for 3d siamese tracking,” in CVPR , 2019
2019
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H.-N. Hu, Q.-Z. Cai, D. Wang, J. Lin, M. Sun, P. Krahenbuhl, T. Darrell, and F. Yu, “Joint monocular 3d vehicle detection and tracking,” in ICCV , 2019
2019
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2019
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2020
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H. Qi, C. Feng, Z. Cao, F. Zhao, and Y. Xiao, “P2b: Point-to-box network for 3d object tracking in point clouds,” in CVPR , 2020
2020
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Z. Fang, S. Zhou, Y. Cui, and S. Scherer, “3d-siamrpn: An end-to-end learning method for real-time 3d single object tracking using raw point cloud,” IEEE Sensors Journal , 2020
2020
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L. Ke, S. Li, Y. Sun, Y.-W. Tai, and C.-K. Tang, “Gsnet: Joint vehicle pose and shape reconstruction with geometrical and scene-aware supervision,” in ECCV , 2020
2020
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M. Najibi, G. Lai, A. Kundu, Z. Lu, V. Rathod, T. Funkhouser, C. Pantofaru, D. Ross, L. S. Davis, and A. Fathi, “Dops: Learning to detect 3d objects and predict their 3d shapes,” in CVPR , 2020
2020
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S. Zakharov, W. Kehl, A. Bhargava, and A. Gaidon, “Autolabeling 3d objects with differentiable rendering of sdf shape priors,” in CVPR , 2020
2020
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Z. Pang, Z. Li, and N. Wang, “Model-free vehicle tracking and state estimation in point cloud sequences,” IROS , 2021
2021
Closest in time.
C. Zhang, Z. Cui, Y. Zhang, B. Zeng, M. Pollefeys, and S. Liu, “Holistic 3d scene understanding from a single image with implicit representation,” in CVPR , 2021
2021
Closest in time.
M. Coenen and F. Rottensteiner, “Pose estimation and 3d reconstruction of vehicles from stereo-images using a subcategory-aware shape prior,” ISPRS Journal of Photogrammetry and Remote Sensing , 2021
2021
Closest in time.
Z. Fang, S. Zhou, Y. Cui, and S. A. Scherer, “3d-siamrpn: An end-to-end learning method for real-time 3d single object tracking using raw point cloud,” IEEE Sensors Journal , 2021
2021
Closest in time.
Z. Wang, Q. Xie, Y.-K. Lai, J. Wu, K. Long, and J. Wang, “Mlvsnet: Multi-level voting siamese network for 3d visual tracking,” in CVPR , 2021
2021
Closest in time.
C. Zheng, X. Yan, J. Gao, W. Zhao, W. Zhang, Z. Li, and S. Cui, “Box-aware feature enhancement for single object tracking on point clouds,” in ICCV , 2021
2021
Closest in time.
J. Deng, S. Shi, P. Li, W. Zhou, Y. Zhang, and H. Li, “Voxel R-CNN: towards high performance voxel-based 3d object detection,” in AAAI , 2021
2021
Closest in time.
S. Duggal, Z. Wang, W.-C. Ma, S. Manivasagam, J. Liang, S. Wang, and R. Urtasun, “Mending neural implicit modeling for 3d vehicle reconstruction in the wild,” in WACV , 2022
2022
Closest in time.