[21] Taein Kwon, Bugra Tekin, Jan Stuhmer, Federica Bogo, and Marc Pollefeys. H2O: Two hands manipulating objects for first person interaction recognition. In ICCV, 2021.
[22] Mengcheng Li, Liang An, Hongwen Zhang, Lianpeng Wu, Feng Chen, Tao Yu, and Yebin Liu. Interacting attention graph for single image two-hand reconstruction. In CVPR, 2022.
[23] Fanqing Lin, Connor Wilhelm, and Tony Martinez. Two-hand global 3D pose estimation using monocular RGB. In WACV, 2021.
[24] Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dólar, and C Lawrence Zitnick. Microsoft COCO: Common objects in context. In ECCV, 2014.
[25] Hao Meng, Sheng Jin, Wentao Liu, Chen Qian, Mengxiang Lin, Wanli Ouyang, and Ping Luo. 3D interacting hand pose estimation by hand de-occlusion and removal. In ECCV, 2022.
[26] Gyeongsik Moon. Bringing inputs to shared domains for 3D interacting hands recovery in the wild. In CVPR, 2023.
[27] Gyeongsik Moon, Ju Yong Chang, and Kyoung Mu Lee. V2V-PoseNet: Voxel-to-voxel prediction network for accurate 3D hand and human pose estimation from a single depth map. In CVPR, 2018.
[28] Gyeongsik Moon, Hongsuk Choi, and Kyoung Mu Lee. Accurate 3D hand pose estimation for whole-body 3D human mesh estimation. In CVPRW, 2022.
[29] Gyeongsik Moon, Hongsuk Choi, and Kyoung Mu Lee. NeuralAnnot: Neural annotator for 3D human mesh training sets. In CVPRW, 2022.
[30] Gyeongsik Moon, Shoou-I Yu, He Wen, Takaaki Shiratori, and Kyoung Mu Lee. InterHand2.6M: A dataset and baseline for 3D interacting hand pose estimation from a single RGB image. In ECCV, 2020.
[31] Franziska Mueller, Florian Bernard, Oleksandr Sotnychenko, Dushyant Mehta, Srinath Sridhar, Dan Casas, and Christian Theobalt. GANerated hands for real-time 3D hand tracking from monocular RGB. In CVPR, 2018.
[32] Franziska Mueller, Micah Davis, Florian Bernard, Oleksandr Sotnychenko, Miceal Verschoor, Miguel A Otaduy, Dan Casas, and Christian Theobalt. Real-time pose and shape reconstruction of two interacting hands with a single depth camera. ACM TOG, 2019.
[33] Franziska Mueller, Dushyant Mehta, Oleksandr Sotnychenko, Srinath Sridhar, Dan Casas, and Christian Theobalt. Real-time hand tracking under occlusion from an egocentric RGB-D sensor. In ICCV, 2017.
[34] Yeounguk Oh, JoonKyu Park, Jaeha Kim, Gyeongsik Moon, and Kyoung Mu Lee. Recovering 3D hand mesh sequence from a single blurry image: A new dataset and temporal unfolding. In CVPR, 2023.
[35] Takehiko Ohkawa, Kun He, Fadime Sener, Tomas Hodan, Luan Tran, and Cem Keskin. AssemblyHands: towards egocentric activity understanding via 3D hand pose estimation. In CVPR, 2023.
[36] Iasonas Oikonomidis, Nikolaos Kyriazis, and Antonis A Argyros. Tracking the articulated motion of two strongly interacting hands. In CVPR, 2012.
[37] Rohit Pandey, Sergio Orts Escolano, Chloe Legendre, Christian Haene, Sofien Bouaziz, Christoph Rhemann, Paul Debevec, and Sean Fanello. Total relighting: learning to relight portraits for background replacement. ACM TOG, 2021.
[38] Priyanka Patel, Chun-Hao P Huang, Joachim Tesch, David T Hoffmann, Shashank Tripathi, and Michael J Black. AGORA: Avatars in geography optimized for regression analysis. In CVPR, 2021.
[39] Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed AA Osman, Dimitrios Tzionas, and Michael J Black. Expressive body capture: 3D hands, face, and body from a single image. In CVPR, 2019.
[40] Javier Romero, Dimitrios Tzionas, and Michael J Black. Embodied Hands: Modeling and capturing hands and bodies together. ACM TOG, 2017.
[41] Yu Rong, Jingbo Wang, Ziwei Liu, and Chen Change Loy. Monocular 3D reconstruction of interacting hands via collision-aware factorized refinements. In 3DV, 2021.
[42] Fadime Sener, Dibyadip Chatterjee, Daniel Shelepov, Kun He, Dipika Singhania, Robert Wang, and Angela Yao. Assembly101: A large-scale multi-view video dataset for understanding procedural activities. In CVPR, 2022.