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We introduce HOT3D, a publicly available dataset for egocentric hand and object tracking in 3D.
Machine perception of three-dimensional solids
Lawrence G Roberts · 1963
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Visual tracking of high DoF articulated structures: an application to human hand tracking
James M Rehg and Takeo Kanade · 1994
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Visual learning and recognition of 3-D objects from appearance
Hiroshi Murase and Shree K Nayar · 1995
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Towards 3D hand tracking using a deformable model
Tony Heap and David Hogg · 1996
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A taxonomy and evaluation of dense two-frame stereo correspondence algorithms
Daniel Scharstein and Richard Szeliski · 2002
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The PASCAL visual object classes (VOC) challenge
Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2010
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Learning to recognize objects in egocentric activities
Alireza Fathi, Xiaofeng Ren, and James M. Rehg · 2011
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KinectFusion: Real-time dense surface mapping and tracking
Richard A Newcombe, Shahram Izadi, Otmar Hilliges, David Molyneaux, David Kim, Andrew J Davison, Pushmeet Kohi, Jamie Shotton, Steve Hodges, and Andrew Fitzgibbon · 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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Model based training, detection and pose estimation of texture-less 3D objects in heavily cluttered scenes
Stefan Hinterstoisser, Vincent Lepetit, Slobodan Ilic, Stefan Holzer, Gary Bradski, Kurt Konolige, and Nassir Navab · 2013
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Latent regression forest: Structured estimation of 3D articulated hand posture
Danhang Tang, Hyung Jin Chang, Alykhan Tejani, and Tae-Kyun Kim · 2014
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Real-time continuous pose recovery of human hands using convolutional networks
Jonathan Tompson, Murphy Stein, Yann Lecun, and Ken Perlin · 2014
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Lending a hand: Detecting hands and recognizing activities in complex egocentric interactions
Sven Bambach, Stefan Lee, David J. Crandall, and Chen Yu · 2015
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The Yale human grasping dataset: Grasp, object, and task data in household and machine shop environments
Ian M. Bullock, Thomas Feix, and Aaron M. Dollar · 2015
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The YCV object and model set: Towards common benchmarks for manipulation research
Berk Calli, Arjun Singh, Aaron Walsman, Siddhartha Srinivasa, Pieter Abbeel, and Aaron M Dollar · 2015
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Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015
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Cascaded hand pose regression
Xiao Sun, Yichen Wei, Shuang Liang, Xiaoou Tang, and Jian Sun · 2015
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Structure-from-motion revisited
Johannes L Schonberger and Jan-Michael Frahm · 2016
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Real-time joint tracking of a hand manipulating an object from RGB-D input
Srinath Sridhar, Franziska Mueller, Michael Zollhöfer, Dan Casas, Antti Oulasvirta, and Christian Theobalt · 2016
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Capturing hands in action using discriminative salient points and physics simulation
Dimitrios Tzionas, Luca Ballan, Abhilash Srikantha, Pablo Aponte, Marc Pollefeys, and Juergen Gall · 2016
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3D hand pose tracking and estimation using stereo matching
Jiawei Zhang, Jianbo Jiao, Mingliang Chen, Liangqiong Qu, Xiaobin Xu, and Qingxiong Yang · 2016
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T-LESS: An RGB-D dataset for 6D pose estimation of texture-less objects
Tomáš Hodaň, Pavel Haluza, Štěpán Obdržálek, Jiří Matas, Manolis Lourakis, and Xenophon Zabulis · 2017
Cited alongside, same era.
Real-time hand tracking under occlusion from an egocentric RGB-D sensor
Franziska Mueller, Dushyant Mehta, Oleksandr Sotnychenko, Srinath Sridhar, Dan Casas, and Christian Theobalt · 2017
Cited alongside, same era.
Embodied hands: Modeling and capturing hands and bodies together
Javier Romero, Dimitrios Tzionas, and Michael J Black · 2017
Cited alongside, same era.
The 2017 HANDS in the million challenge on 3D hand pose estimation
Shanxin Yuan, Qi Ye, Guillermo Garcia-Hernando, and Tae-Kyun Kim · 2017
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First-person hand action benchmark with RGB-D videos and 3D hand pose annotations
Guillermo Garcia-Hernando, Shanxin Yuan, Seungryul Baek, and Tae-Kyun Kim · 2018
Cited alongside, same era.
Understanding human hands in contact at internet scale
Dandan Shan, Jiaqi Geng, Michelle Shu, and David F Fouhey · 2020
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DexYCB: A benchmark for capturing hand grasping of objects
Yu-Wei Chao, Wei Yang, Yu Xiang, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj S. Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, and Dieter Fox · 2021
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The precision of the human hand: variability in pinch strength and manual dexterity
Ameline Bardo, Katie Town, Tracy L Kivell, Georgina Donati, Haiko Ballieux, Cosmin Stamate, Trudi Edginton, and Gillian S Forrester · 2022
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BEHAVE: Dataset and method for tracking human object interactions
Bharat Lal Bhatnagar, Xianghui Xie, Ilya Petrov, Cristian Sminchisescu, Christian Theobalt, and Gerard Pons-Moll · 2022
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Rescaling egocentric vision: Collection, pipeline and challenges for EPIC-KITCHENS-100
Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Antonino Furnari, Jian Ma, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, and Michael Wray · 2022
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Online optical marker-based hand tracking with deep labels
Shangchen Han, Beibei Liu, Robert Wang, Yuting Ye, Christopher D. Twigg, and Kenrick Kin · 2018
Cited alongside, same era.
BOP: Benchmark for 6D object pose estimation
Tomáš Hodaň, Frank Michel, Eric Brachmann, Wadim Kehl, Anders Glent Buch, Dirk Kraft, Bertram Drost, Joel Vidal, Stephan Ihrke, Xenophon Zabulis, Caner Sahin, Fabian Manhardt, Federico Tombari, Tae-Kyun Kim, Jiří Matas, and Carsten Rother · 2018
Cited alongside, same era.
The PBR guide
Wes McDermott · 2018
Cited alongside, same era.
HANDS18: Methods, techniques and applications for hand observation
Iason Oikonomidis, Guillermo Garcia-Hernando, Angela Yao, Antonis Argyros, Vincent Lepetit, and Tae-Kyun Kim · 2018
Cited alongside, same era.
PoseCNN: A convolutional neural network for 6D object pose estimation in cluttered scenes
Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, and Dieter Fox · 2018
Cited alongside, same era.
Maximilian Denninger, Martin Sundermeyer, Dominik Winkelbauer, Youssef Zidan, Dmitry Olefir, Mohamad Elbadrawy, Ahsan Lodhi, and Harinandan Katam · 2019
Cited alongside, same era.
Learning joint reconstruction of hands and manipulated objects
Yana Hasson, Gül Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J Black, Ivan Laptev, and Cordelia Schmid · 2019
Cited alongside, same era.
Category-level 6D object pose estimation in the wild: A semi-supervised learning approach and a new dataset
Yang Fu and Xiaolong Wang · 2022
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Keypoint transformer: Solving joint identification in challenging hands and object interactions for accurate 3D pose estimation
Shreyas Hampali, Sayan Deb Sarkar, Mahdi Rad, and Vincent Lepetit · 2022
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UmeTrack: Unified multi-view end-to-end hand tracking for VR
Shangchen Han, Po-chen Wu, Yubo Zhang, Beibei Liu, Linguang Zhang, Zheng Wang, Weiguang Si, Peizhao Zhang, Yujun Cai, Tomas Hodan, et al · 2022
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HyunJun Jung, Guangyao Zhai, Shun-Cheng Wu, Patrick Ruhkamp, Hannah Schieber, Giulia Rizzoli, Pengyuan Wang, Hongcheng Zhao, Lorenzo Garattoni, Sven Meier, et al · 2022
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HOI4D: A 4D egocentric dataset for category-level human-object interaction
Yunze Liu, Yun Liu, Che Jiang, Kangbo Lyu, Weikang Wan, Hao Shen, Boqiang Liang, Zhoujie Fu, He Wang, and Li Yi · 2022
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OnePose: One-shot object pose estimation without cad models
Jiaming Sun, Zihao Wang, Siyu Zhang, Xingyi He, Hongcheng Zhao, Guofeng Zhang, and Xiaowei Zhou · 2022
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Phocal: A multi-modal dataset for category-level object pose estimation with photometrically challenging objects
Pengyuan Wang, HyunJun Jung, Yitong Li, Siyuan Shen, Rahul Parthasarathy Srikanth, Lorenzo Garattoni, Sven Meier, Nassir Navab, and Benjamin Busam · 2022
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Fine-grained egocentric hand-object segmentation: Dataset, model, and applications
Lingzhi Zhang, Shenghao Zhou, Simon Stent, and Jianbo Shi · 2022
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ARCTIC: A dataset for dexterous bimanual hand-object manipulation
Zicong Fan, Omid Taheri, Dimitrios Tzionas, Muhammed Kocabas, Manuel Kaufmann, Michael J Black, and Otmar Hilliges · 2023
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HANDAL: A dataset of real-world manipulable object categories with pose annotations, affordances, and reconstructions
Andrew Guo, Bowen Wen, Jianhe Yuan, Jonathan Tremblay, Stephen Tyree, Jeffrey Smith, and Stan Birchfield · 2023
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In-hand 3D object scanning from an RGB sequence
Shreyas Hampali, Tomas Hodan, Luan Tran, Lingni Ma, Cem Keskin, and Vincent Lepetit · 2023
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AssemblyHands: Towards egocentric activity understanding via 3D hand pose estimation
Takehiko Ohkawa, Kun He, Fadime Sener, Tomas Hodan, Luan Tran, and Cem Keskin · 2023
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EgoBlur: Responsible innovation in Aria, 2023
Nikhil Raina, Guruprasad Somasundaram, Kang Zheng, Sagar Miglani, Steve Saarinen, Jeff Meissner, Mark Schwesinger, Luis Pesqueira, Ishita Prasad, Edward Miller, Prince Gupta, Mingfei Yan, Richard Newcombe, Carl Ren, and Omkar M Parkhi · 2023
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BOP challenge 2022 on detection, segmentation and pose estimation of specific rigid objects
Martin Sundermeyer, Tomas Hodan, Yann Labbé, Gu Wang, Eric Brachmann, Bertram Drost, Carsten Rother, and Jiri Matas · 2023
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BOP challenge 2023 on detection, segmentation and pose estimation of seen and unseen rigid objects
Tomáš Hodaň, Martin Sundermeyer, Yann Labbé, Van Nguyen Nguyen, Gu Wang, Eric Brachmann, Bertram Drost, Vincent Lepetit, Carsten Rother, and Jiří Matas · 2024
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