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Although the estimation of 3D human pose and shape (HPS) is rapidly progressing, current methods still cannot reliably estimate moving humans in global coordinates, which is critical for many applications.
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
Martin A Fischler and Robert C Bolles · 1981
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Evaluating multiple object tracking performance: the clear mot metrics
Keni Bernardin and Rainer Stiefelhagen · 2008
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A mobile vision system for robust multi-person tracking
Andreas Ess, Bastian Leibe, Konrad Schindler, and Luc Van Gool · 2008
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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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Human3.6M: Large scale datasets and predictive methods for 3D human sensing in natural environments
Catalin Ionescu, Dragos Papava, Vlad Olaru, and Cristian Sminchisescu · 2013
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From actemes to action: A strongly-supervised representation for detailed action understanding
Weiyu Zhang, Menglong Zhu, and Konstantinos G Derpanis · 2013
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2d human pose estimation: New benchmark and state of the art analysis
Mykhaylo Andriluka, Leonid Pishchulin, Peter Gehler, and Bernt Schiele · 2014
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SMPL: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J. Black · 2015
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Keep it SMPL: Automatic estimation of 3D human pose and shape from a single image
Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter Gehler, Javier Romero, and Michael J Black · 2016
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Performance measures and a data set for multi-target, multi-camera tracking
Ergys Ristani, Francesco Solera, Roger Zou, Rita Cucchiara, and Carlo Tomasi · 2016
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Structure-from-motion revisited
Johannes L Schonberger and Jan-Michael Frahm · 2016
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evo: Python package for the evaluation of odometry and slam
Michael Grupp · 2017
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Monocular 3D human pose estimation in the wild using improved cnn supervision
Dushyant Mehta, Helge Rhodin, Dan Casas, Pascal Fua, Oleksandr Sotnychenko, Weipeng Xu, and Christian Theobalt · 2017
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Citypersons: A diverse dataset for pedestrian detection
Shanshan Zhang, Rodrigo Benenson, and Bernt Schiele · 2017
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End-to-end recovery of human shape and pose
Angjoo Kanazawa, Michael J. Black, David W. Jacobs, and Jitendra Malik · 2018
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Single-shot multi-person 3d pose estimation from monocular rgb
Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller, Weipeng Xu, Srinath Sridhar, Gerard Pons-Moll, and Christian Theobalt · 2018
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Recovering accurate 3D human pose in the wild using imus and a moving camera
Timo von Marcard, Roberto Henschel, Michael Black, Bodo Rosenhahn, and Gerard Pons-Moll · 2018
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Pose Flow: Efficient online pose tracking
Yuliang Xiu, Jiefeng Li, Haoyu Wang, Yinghong Fang, and Cewu Lu · 2018
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Monocular 3D pose and shape estimation of multiple people in natural scenes-the importance of multiple scene constraints
Andrei Zanfir, Elisabeta Marinoiu, and Cristian Sminchisescu · 2018
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Tracking without bells and whistles
Philipp Bergmann, Tim Meinhardt, and Laura Leal-Taixe · 2019
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The 2019 davis challenge on vos: Unsupervised multi-object segmentation
Sergi Caelles, Jordi Pont-Tuset, Federico Perazzi, Alberto Montes, Kevis-Kokitsi Maninis, and Luc Van Gool · 2019
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Learning to reconstruct 3D human pose and shape via model-fitting in the loop
Nikos Kolotouros, Georgios Pavlakos, Michael J Black, and Kostas Daniilidis · 2019
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TexturePose: Supervising human mesh estimation with texture consistency
Georgios Pavlakos, Nikos Kolotouros, and Kostas Daniilidis · 2019
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Poinet: pose-guided ovonic insight network for multi-person pose tracking
Weijian Ruan, Wu Liu, Qian Bao, Jun Chen, Yuhao Cheng, and Tao Mei · 2019
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Human mesh recovery from monocular images via a skeleton-disentangled representation
Yu Sun, Yun Ye, Wu Liu, Wenpeng Gao, YiLi Fu, and Tao Mei · 2019
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Deformable convnets v2: More deformable, better results
Xizhou Zhu, Han Hu, Stephen Lin, and Jifeng Dai · 2019
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Higherhrnet: Scale-aware representation learning for bottom-up human pose estimation
Bowen Cheng, Bin Xiao, Jingdong Wang, Honghui Shi, Thomas S Huang, and Lei Zhang · 2020
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Tao: A large-scale benchmark for tracking any object
PyMAF: 3d human pose and shape regression with pyramidal mesh alignment feedback loop
Hongwen Zhang, Yating Tian, Xinchi Zhou, Wanli Ouyang, Yebin Liu, Limin Wang, and Zhenan Sun · 2021
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Deepmulticap: Performance capture of multiple characters using sparse multiview cameras
Yang Zheng, Ruizhi Shao, Yuxiang Zhang, Tao Yu, Zerong Zheng, Qionghai Dai, and Yebin Liu · 2021
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Posetrack21: A dataset for person search, multi-object tracking and multi-person pose tracking
Andreas Doering, Di Chen, Shanshan Zhang, Bernt Schiele, and Juergen Gall · 2022
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Jrdb-act: A large-scale dataset for spatio-temporal action, social group and activity detection
Mahsa Ehsanpour, Fatemeh Saleh, Silvio Savarese, Ian Reid, and Hamid Rezatofighi · 2022
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D&d: Learning human dynamics from dynamic camera
Jiefeng Li, Siyuan Bian, Chao Xu, Gang Liu, Gang Yu, and Cewu Lu · 2022
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Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, and Deva Ramanan · 2020
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Mot20: A benchmark for multi object tracking in crowded scenes
Patrick Dendorfer, Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian Reid, Stefan Roth, Konrad Schindler, and Laura Leal-Taixé · 2020
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Exemplar fine-tuning for 3D human pose fitting towards in-the-wild 3D human pose estimation
Hanbyul Joo, Natalia Neverova, and Andrea Vedaldi · 2020
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VIBE: Video inference for human body pose and shape estimation
Muhammed Kocabas, Nikos Athanasiou, and Michael J Black · 2020
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Pose2Pose: 3d positional pose-guided 3d rotational pose prediction for expressive 3d human pose and mesh estimation
Gyeongsik Moon and Kyoung Mu Lee · 2020
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Raft: Recurrent all-pairs field transforms for optical flow
Zachary Teed and Jia Deng · 2020
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Motsynth: How can synthetic data help pedestrian detection and tracking?
Matteo Fabbri, Guillem Brasó, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljoša Ošep, Simone Calderara, Laura Leal-Taixé, and Rita Cucchiara · 2021
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CLIFF: Carrying location information in full frames into human pose and shape estimation
Zhihao Li, Jianzhuang Liu, Zhensong Zhang, Songcen Xu, and Youliang Yan · 2022
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Trackformer: Multi-object tracking with transformers
Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixe, and Christoph Feichtenhofer · 2022
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Tracking people by predicting 3D appearance, location & pose
Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, and Jitendra Malik · 2022
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Putting people in their place: Monocular regression of 3d people in depth
Yu Sun, Wu Liu, Qian Bao, Yili Fu, Tao Mei, and Michael J Black · 2022
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Zachary Teed, Lahav Lipson, and Jia Deng · 2022
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ICON: Implicit Clothed humans Obtained from Normals
Yuliang Xiu, Jinlong Yang, Dimitrios Tzionas, and Michael J Black · 2022
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Vitpose: Simple vision transformer baselines for human pose estimation
Yufei Xu, Jing Zhang, Qiming Zhang, and Dacheng Tao · 2022
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GLAMR: Global occlusion-aware human mesh recovery with dynamic cameras
Ye Yuan, Umar Iqbal, Pavlo Molchanov, Kris Kitani, and Jan Kautz · 2022
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Bytetrack: Multi-object tracking by associating every detection box
Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Fucheng Weng, Zehuan Yuan, Ping Luo, Wenyu Liu, and Xinggang Wang · 2022
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BEDLAM: A synthetic dataset of 3d human bodies exhibiting detailed lifelike animated motion
Michael J. Black, Priyanka Patel, Joachim Tesch, and Jinlong Yang · 2023
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High-Fidelity Clothed Avatar Reconstruction from a Single Image
Tingting Liao, Xiaomei Zhang, Yuliang Xiu, Hongwei Yi, Xudong Liu, Guo-Jun Qi, Yong Zhang, Xuan Wang, Xiangyu Zhu, and Zhen Lei · 2023
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3D human pose estimation via intuitive physics
Shashank Tripathi, Lea Müller, Chun-Hao P. Huang, Taheri Omid, Michael J. Black, and Dimitrios Tzionas · 2023
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ECON: Explicit Clothed humans Optimized via Normal integration
Yuliang Xiu, Jinlong Yang, Xu Cao, Dimitrios Tzionas, and Michael J. Black · 2023
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Decoupling human and camera motion from videos in the wild
Vickie Ye, Georgios Pavlakos, Jitendra Malik, and Angjoo Kanazawa · 2023
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MIME: Human-aware 3D scene generation
Hongwei Yi, Chun-Hao P. Huang, Shashank Tripathi, Lea Hering, Justus Thies, and Michael J. Black · 2023
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Generating holistic 3d human motion from speech
Hongwei Yi, Hualin Liang, Yifei Liu, Qiong Cao, Yandong Wen, Timo Bolkart, Dacheng Tao, and Michael J Black · 2023
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