{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T18:45:44Z","timestamp":1762368344970,"version":"build-2065373602"},"reference-count":62,"publisher":"Tsinghua University Press","issue":"3","license":[{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2021,4,19]],"date-time":"2021-04-19T00:00:00Z","timestamp":1618790400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Comp. Visual. Med."],"published-print":{"date-parts":[[2021,9]]},"DOI":"10.1007\/s41095-021-0218-8","type":"journal-article","created":{"date-parts":[[2021,4,19]],"date-time":"2021-04-19T03:02:59Z","timestamp":1618801379000},"page":"375-392","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Inferring object properties from human interaction and transferring them to new motions"],"prefix":"10.26599","volume":"7","author":[{"given":"Qian","family":"Zheng","sequence":"first","affiliation":[{"name":"Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weikai","family":"Wu","sequence":"additional","affiliation":[{"name":"Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanting","family":"Pan","sequence":"additional","affiliation":[{"name":"Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Niloy","family":"Mitra","sequence":"additional","affiliation":[{"name":"University College London, London, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Cohen-Or","sequence":"additional","affiliation":[{"name":"Tel Aviv University, Tel-Aviv, Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Huang","sequence":"additional","affiliation":[{"name":"Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"11138","reference":[{"issue":"1","key":"218_CR1","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1146\/annurev.psych.57.102904.190152","volume":"58","author":"R Blake","year":"2007","unstructured":"Blake, R.; Shiffrar, M. Perception of human motion. Annual Review of Psychology Vol. 58, No. 1, 47\u201373, 2007.","journal-title":"Annual Review of Psychology"},{"issue":"4","key":"218_CR2","first-page":"733","volume":"7","author":"S Runeson","year":"1981","unstructured":"Runeson, S.; Frykholm, G. Visual perception of lifted weight. Journal of Experimental Psychology: Human Perception and Performance Vol. 7, No. 4, 733\u2013740, 1981.","journal-title":"Journal of Experimental Psychology: Human Perception and Performance"},{"key":"218_CR3","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1016\/j.cognition.2017.06.023","volume":"168","author":"J Podda","year":"2017","unstructured":"Podda, J.; Ansuini, C.; Vastano, R.; Cavallo, A.; Becchio, C. The heaviness of invisible objects: Predictive weight judgments from observed real and pantomimed grasps. Cognition Vol. 168, 140\u2013145, 2017.","journal-title":"Cognition"},{"issue":"1","key":"218_CR4","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1007\/BF01063674","volume":"104","author":"L M Vaina","year":"1995","unstructured":"Vaina, L. M.; Goodglass, H.; Daltroy, L. Inference of object use from pantomimed actions by aphasics and patients with right hemisphere lesions. Synthese Vol. 104, No. 1, 43\u201357, 1995.","journal-title":"Synthese"},{"key":"218_CR5","doi-asserted-by":"crossref","unstructured":"Shahroudy, A.; Liu, J.; Ng, T. T.; Wang, G. NTU RGB+D: A large scale dataset for 3D human activity analysis. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1010\u20131019, 2016.","DOI":"10.1109\/CVPR.2016.115"},{"key":"218_CR6","doi-asserted-by":"crossref","unstructured":"Liu, C.; Hu, Y.; Li, Y.; Song, S.; Liu, J. PKUMMD: A large scale benchmark for continuous multimodal human action understanding. arXiv preprint arXiv:1703.07475, 2017.","DOI":"10.1145\/3132734.3132739"},{"key":"218_CR7","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1016\/j.patcog.2015.11.019","volume":"53","author":"L Lo Presti","year":"2016","unstructured":"Lo Presti, L.; La Cascia, M. 3D skeleton-based human action classification: A survey. Pattern Recognition Vol. 53, 130\u2013147, 2016.","journal-title":"Pattern Recognition"},{"key":"218_CR8","doi-asserted-by":"crossref","unstructured":"Yao, B. P.; Fei-Fei, L. Modeling mutual context of object and human pose in human-object interaction activities. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 17\u201324, 2010.","DOI":"10.1109\/CVPR.2010.5540235"},{"key":"218_CR9","doi-asserted-by":"crossref","unstructured":"Gkioxari, G.; Girshick, R.; Doll\u00e1r, P.; He, K. Detecting and recognizing human-object interactions. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 8359\u20138367, 2018.","DOI":"10.1109\/CVPR.2018.00872"},{"key":"218_CR10","doi-asserted-by":"crossref","unstructured":"Kato, K.; Li, Y.; Gupta, A. Compositional learning for human object interaction. In: Computer Vision \u2014 ECCV 2018. Lecture Notes in Computer Science, Vol. 11218. Ferrari, V.; Hebert, M.; Sminchisescu, C.; Weiss, Y. Eds. Springer Cham, 247\u2013264, 2018.","DOI":"10.1007\/978-3-030-01264-9_15"},{"key":"218_CR11","doi-asserted-by":"crossref","unstructured":"Grabner, H.; Gall, J.; van Gool, L. What makes a chair a chair? In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1529\u20131536, 2011.","DOI":"10.1109\/CVPR.2011.5995327"},{"key":"218_CR12","doi-asserted-by":"crossref","unstructured":"Kim, V. G.; Chaudhuri, S.; Guibas, L.; Funkhouser, T. Shape2Pose. ACM Transactions on Graphics Vol. 33, No. 4, Article No. 120, 2014.","DOI":"10.1145\/2601097.2601117"},{"key":"218_CR13","doi-asserted-by":"crossref","unstructured":"Hu, R. Z.; Yan, Z. H.; Zhang, J. W.; van Kaick, O., Shamir, A., Zhang, H.; Huang, H. Predictive and generative neural networks for object functionality. ACM Transactions on Graphics Vol. 37, No. 4, Article No. 151, 2018.","DOI":"10.1145\/3197517.3201287"},{"key":"218_CR14","doi-asserted-by":"crossref","unstructured":"Savva, M.; Chang, A. X.; Hanrahan, P.; Fisher, M.; Nie\u00dfner, M. SceneGrok. ACM Transactions on Graphics Vol. 33, No. 6, Article No. 212, 2014.","DOI":"10.1145\/2661229.2661230"},{"key":"218_CR15","doi-asserted-by":"crossref","unstructured":"Li, X. T.; Liu, S. F.; Kim, K.; Wang, X. L.; Yang, M. H.; Kautz, J. Putting humans in a scene: Learning affordance in 3D indoor environments. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 12360\u201312368, 2019.","DOI":"10.1109\/CVPR.2019.01265"},{"issue":"2","key":"218_CR16","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1111\/cgf.13385","volume":"37","author":"R Hu","year":"2018","unstructured":"Hu, R.; Savva, M.; van Kaick, O. Functionality representations and applications for shape analysis. Computer Graphics Forum Vol. 37, No. 2, 603\u2013624, 2018.","journal-title":"Computer Graphics Forum"},{"key":"218_CR17","doi-asserted-by":"crossref","unstructured":"Jiang, Y.; Koppula, H.; Saxena, A. Hallucinated humans as the hidden context for labeling 3D scenes. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2993\u20133000, 2013.","DOI":"10.1109\/CVPR.2013.385"},{"issue":"10","key":"218_CR18","doi-asserted-by":"publisher","first-page":"2040","DOI":"10.1109\/TPAMI.2015.2501811","volume":"38","author":"Y Jiang","year":"2016","unstructured":"Jiang, Y.; Koppula, H. S.; Saxena, A. Modeling 3D environments through hidden human context. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 38, No. 10, 2040\u20132053, 2016.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"4","key":"218_CR19","doi-asserted-by":"publisher","first-page":"Article No. 33","DOI":"10.1145\/1778765.1778770","volume":"29","author":"E S L Ho","year":"2010","unstructured":"Ho, E. S. L.; Komura, T.; Tai, C. L. Spatial relationship preserving character motion adaptation. ACM Transactions on Graphics Vol. 29, No. 4, Article No. 33, 2010.","journal-title":"ACM Transactions on Graphics"},{"issue":"8","key":"218_CR20","doi-asserted-by":"publisher","first-page":"2620","DOI":"10.1109\/TVCG.2019.2893247","volume":"26","author":"Y J Shen","year":"2019","unstructured":"Shen, Y. J.; Yang, L. Z.; Ho, E. S. L.; Shum, H. P. H. Interaction-based human activity comparison. IEEE Transactions on Visualization and Computer Graphics Vol. 26, No. 8, 2620\u20132633, 2019.","journal-title":"IEEE Transactions on Visualization and Computer Graphics"},{"issue":"1","key":"218_CR21","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1207\/s15326969eco0601_2","volume":"6","author":"T A Stoffregen","year":"1994","unstructured":"Stoffregen, T. A.; Flynn, S. B. Visual perception of support-surface deformability from human body kinematics. Ecological Psychology Vol. 6, No. 1, 33\u201364, 1994.","journal-title":"Ecological Psychology"},{"issue":"1","key":"218_CR22","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1007\/s00426-005-0032-4","volume":"71","author":"A F Hamilton","year":"2007","unstructured":"Hamilton, A. F.; Joyce, D. W.; Flanagan, J. R.; Frith, C. D.; Wolpert, D. M. Kinematic cues in perceptual weight judgement and their origins in box lifting. Psychological Research Vol. 71, No. 1, 13\u201321, 2007.","journal-title":"Psychological Research"},{"issue":"3","key":"218_CR23","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1167\/17.3.18","volume":"17","author":"F Schmidt","year":"2017","unstructured":"Schmidt, F.; Paulun, V. C.; van Assen, J. J. R.; Fleming, R. W. Inferring the stiffness of unfamiliar objects from optical, shape, and motion cues. Journal of Vision Vol. 17, No. 3, 18, 2017.","journal-title":"Journal of Vision"},{"issue":"8","key":"218_CR24","doi-asserted-by":"publisher","first-page":"951","DOI":"10.1177\/0278364913478446","volume":"32","author":"H S Koppula","year":"2013","unstructured":"Koppula, H. S.; Gupta, R.; Saxena, A. Learning human activities and object affordances from RGB-D videos. The International Journal of Robotics Research Vol. 32, No. 8, 951\u2013970, 2013.","journal-title":"The International Journal of Robotics Research"},{"key":"218_CR25","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.gmod.2017.10.002","volume":"94","author":"C G Kang","year":"2017","unstructured":"Kang, C. G.; Lee, S. H. Scene reconstruction and analysis from motion. Graphical Models Vol. 94, 25\u201337, 2017.","journal-title":"Graphical Models"},{"key":"218_CR26","doi-asserted-by":"crossref","unstructured":"Monszpart, A.; Guerrero, P.; Ceylan, D.; Yumer, E.; Mitra, N. J. iMapper: Interaction-guided joint scene and human motion mapping from monocular videos. ACM Transactions on Graphics Vol. 38, No. 4, Article No. 92, 2019.","DOI":"10.1145\/3306346.3322961"},{"key":"218_CR27","doi-asserted-by":"crossref","unstructured":"Davis, J. W.; Gao, H. Recognizing human action efforts: An adaptive three-mode PCA framework. In: Proceedings of the 9th IEEE International Conference on Computer Vision, 1463\u20131469, 2003.","DOI":"10.1109\/ICCV.2003.1238662"},{"key":"218_CR28","doi-asserted-by":"crossref","unstructured":"Gupta, A.; Davis, L. S. Objects in action: An approach for combining action understanding and object perception. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1\u20138, 2007.","DOI":"10.1109\/CVPR.2007.383331"},{"key":"218_CR29","first-page":"127","volume":"1","author":"J Wu","year":"2015","unstructured":"Wu, J.; Yildirim, I.; Lim, J. J.; Freeman, W. T.; Tenenbaum, J. B. Galileo: Perceiving physical object properties by integrating a physics engine with deep learning. In: Proceedings of the 28th International Conference on Neural Information Processing Systems, Vol. 1, 127\u2013135, 2015.","journal-title":"Proceedings of the 28th International Conference on Neural Information Processing Systems"},{"key":"218_CR30","doi-asserted-by":"crossref","unstructured":"Wu, J. J.; Lim, J.; Zhang, H. Y.; Tenenbaum, J.; Freeman, W. Physics 101: Learning physical object properties from unlabeled videos. In: Proceedings of the British Machine Vision Conference, 39.1\u201339.12, 2016.","DOI":"10.5244\/C.30.39"},{"key":"218_CR31","doi-asserted-by":"crossref","unstructured":"Liu, J.; Shahroudy, A.; Xu, D.; Wang, G. Spatio-temporal LSTM with trust gates for 3D human action recognition. In: Computer Vision \u2014 ECCV 2016. Lecture Notes in Computer Science, Vol. 9907. Leibe, B.; Matas, J.; Sebe, N.; Welling, M. Eds. Springer Cham, 816\u2013833, 2016.","DOI":"10.1007\/978-3-319-46487-9_50"},{"key":"218_CR32","doi-asserted-by":"crossref","unstructured":"Liu, J.; Wang, G.; Hu, P.; Duan, L. Y.; Kot, A. C. Global context-aware attention LSTM networks for 3D action recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 3671\u20133680, 2017.","DOI":"10.1109\/CVPR.2017.391"},{"key":"218_CR33","doi-asserted-by":"crossref","unstructured":"Song, S.; Lan, C.; Xing, J.; Zeng, W.; Liu, J. An end-to-end spatio-temporal attention model for human action recognition from skeleton data. In: Proceedings of the 31st AAAI Conference on Artificial Intelligence, 4263\u20134270, 2017.","DOI":"10.1609\/aaai.v31i1.11212"},{"key":"218_CR34","doi-asserted-by":"crossref","unstructured":"Yan, S. J.; Xiong, Y. J.; Lin, D. H. Spatial temporal graph convolutional networks for skeleton-based action recognition. In: Proceedings of the AAAI Conference on Artificial Intelligence, 2018.","DOI":"10.1609\/aaai.v32i1.12328"},{"key":"218_CR35","doi-asserted-by":"crossref","unstructured":"Ke, Q. H.; Bennamoun, M.; An, S. J.; Sohel, F.; Boussaid, F. A new representation of skeleton sequences for 3D action recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 4570\u20134579, 2017.","DOI":"10.1109\/CVPR.2017.486"},{"key":"218_CR36","doi-asserted-by":"crossref","unstructured":"Li, C.; Zhong, Q. Y.; Xie, D.; Pu, S. L. Cooccurrence feature learning from skeleton data for action recognition and detection with hierarchical aggregation. In: Proceedings of the 27th International Joint Conference on Artificial Intelligence, 786\u2013792, 2018.","DOI":"10.24963\/ijcai.2018\/109"},{"issue":"6","key":"218_CR37","doi-asserted-by":"crossref","first-page":"Article No. 187","DOI":"10.1145\/3272127.3275038","volume":"37","author":"A Aristidou","year":"2018","unstructured":"Aristidou, A.; Cohen-Or, D.; Hodgins, J. K.; Chrysanthou, Y.; Shamir, A. Deep motifs and motion signatures. ACM Transactions on Graphics Vol. 37, No. 6, Article No. 187, 2018.","journal-title":"ACM Transactions on Graphics"},{"issue":"3","key":"218_CR38","doi-asserted-by":"publisher","first-page":"1082","DOI":"10.1145\/1073204.1073315","volume":"24","author":"E Hsu","year":"2005","unstructured":"Hsu, E.; Pulli, K.; Popovi\u0107, J. Style translation for human motion. ACM Transactions on Graphics Vol. 24, No. 3, 1082\u20131089, 2005.","journal-title":"ACM Transactions on Graphics"},{"key":"218_CR39","doi-asserted-by":"crossref","unstructured":"Xia, S. H.; Wang, C. Y.; Chai, J. X.; Hodgins, J. Realtime style transfer for unlabeled heterogeneous human motion. ACM Transactions on Graphics Vol. 34, No. 4, Article No. 119, 2015.","DOI":"10.1145\/2766999"},{"key":"218_CR40","doi-asserted-by":"crossref","unstructured":"Yumer, M. E.; Mitra, N. J. Spectral style transfer for human motion between independent actions. ACM Transactions on Graphics Vol. 35, No. 4, Article No. 137, 2016.","DOI":"10.1145\/2897824.2925955"},{"issue":"3","key":"218_CR41","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1007\/s41095-018-0115-y","volume":"4","author":"R Bellini","year":"2018","unstructured":"Bellini, R.; Kleiman, Y.; Cohen-Or, D. Dance to the beat: Synchronizing motion to audio. Computational Visual Media Vol. 4, No. 3, 197\u2013208, 2018.","journal-title":"Computational Visual Media"},{"key":"218_CR42","doi-asserted-by":"crossref","unstructured":"Cao, Z.; Simon, T.; Wei, S. H.; Sheikh, Y. Realtime multi-person 2D pose estimation using part affinity fields. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1302\u20131310, 2017.","DOI":"10.1109\/CVPR.2017.143"},{"key":"218_CR43","doi-asserted-by":"crossref","unstructured":"Insafutdinov, E.; Pishchulin, L.; Andres, B.; Andriluka, M.; Schiele, B. DeeperCut: A deeper, stronger, and faster multi-person pose estimation model. In: Computer Vision \u2014 ECCV 2016. Lecture Notes in Computer Science, Vol. 9910. Leibe, B.; Matas, J.; Sebe, N.; Welling, M. Eds. Springer Cham, 34\u201350, 2016.","DOI":"10.1007\/978-3-319-46466-4_3"},{"key":"218_CR44","doi-asserted-by":"crossref","unstructured":"Newell, A.; Yang, K.; Deng, J. Stacked hourglass networks for human pose estimation. In: Computer Vision \u2014 ECCV 2016. Lecture Notes in Computer Science, Vol. 9912. Leibe, B.; Matas, J.; Sebe, N.; Welling, M. Eds. Springer Cham, 483\u2013499, 2016.","DOI":"10.1007\/978-3-319-46484-8_29"},{"key":"218_CR45","doi-asserted-by":"crossref","unstructured":"Wei, S. H.; Ramakrishna, V.; Kanade, T.; Sheikh, Y. Convolutional pose machines. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 4724\u20134732, 2016.","DOI":"10.1109\/CVPR.2016.511"},{"key":"218_CR46","doi-asserted-by":"crossref","unstructured":"G\u00fcler, R. A.; Neverova, N.; Kokkinos, I. DensePose: Dense human pose estimation in the wild. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 7297\u20137306, 2018.","DOI":"10.1109\/CVPR.2018.00762"},{"key":"218_CR47","doi-asserted-by":"crossref","unstructured":"Tekin, B.; Rozantsev, A.; Lepetit, V.; Fua, P. Direct prediction of 3D body poses from motion compensated sequences. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 991\u20131000, 2016.","DOI":"10.1109\/CVPR.2016.113"},{"key":"218_CR48","doi-asserted-by":"crossref","unstructured":"Tome, D.; Russell, C.; Agapito, L. Lifting from the deep: Convolutional 3D pose estimation from a single image. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 5689\u20135698, 2017.","DOI":"10.1109\/CVPR.2017.603"},{"key":"218_CR49","doi-asserted-by":"crossref","unstructured":"Mehta, D.; Sridhar, S.; Sotnychenko, O.; Rhodin, H.; Shafiei, M.; Seidel, H. P.; Xu, W.; Casas, D.; Theobalt, C. VNect: Real-time 3D human pose estimation with a single RGB camera. ACM Transactions on Graphics Vol. 36, No. 4, Article No. 44, 2017.","DOI":"10.1145\/3072959.3073596"},{"key":"218_CR50","doi-asserted-by":"crossref","unstructured":"Kanazawa, A.; Black, M. J.; Jacobs, D. W.; Malik, J. End-to-end recovery of human shape and pose. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 7122\u20137131, 2018.","DOI":"10.1109\/CVPR.2018.00744"},{"key":"218_CR51","doi-asserted-by":"crossref","unstructured":"Pavlakos, G.; Zhou, X. W.; Daniilidis, K. Ordinal depth supervision for 3D human pose estimation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 7307\u20137316, 2018.","DOI":"10.1109\/CVPR.2018.00763"},{"key":"218_CR52","doi-asserted-by":"crossref","unstructured":"Andriluka, M.; Iqbal, U.; Insafutdinov, E.; Pishchulin, L.; Milan, A.; Gall, J.; Schiele, B. PoseTrack: A benchmark for human pose estimation and tracking. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 5167\u20135176, 2018.","DOI":"10.1109\/CVPR.2018.00542"},{"key":"218_CR53","unstructured":"CMU. CMU Graphics Lab Motion Capture Database. 2018. Available at http:\/\/mocap.cs.cmu.edu\/."},{"key":"218_CR54","doi-asserted-by":"crossref","unstructured":"Cho, K.; van Merrienboer, B.; Gulcehre, C.; Bahdanau, D.; Bougares, F.; Schwenk, H.; Bengio, Y. Learning phrase representations using RNN encoder-decoder for statistical machine translation. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, 1724\u20131734, 2014.","DOI":"10.3115\/v1\/D14-1179"},{"key":"218_CR55","doi-asserted-by":"crossref","unstructured":"Wang, Y.; Sun, Y. B.; Liu, Z. W.; Sarma, S. E.; Bronstein, M. M.; Solomon, J. M. Dynamic graph CNN for learning on point clouds. ACM Transactions on Graphics Vol. 38, No. 5, Article No. 146, 2019.","DOI":"10.1145\/3326362"},{"key":"218_CR56","doi-asserted-by":"crossref","unstructured":"Zhang, P. F.; Xue, J. R.; Lan, C. L.; Zeng, W. J.; Gao, Z. N.; Zheng, N. N. Adding attentiveness to the neurons in recurrent neural networks. In: Computer Vision \u2014 ECCV 2018. Lecture Notes in Computer Science, Vol. 11213. Springer Cham, 136\u2013152, 2018.","DOI":"10.1007\/978-3-030-01240-3_9"},{"key":"218_CR57","doi-asserted-by":"crossref","unstructured":"Holden, D.; Saito, J.; Komura, T. A deep learning framework for character motion synthesis and editing. ACM Transactions on Graphics Vol. 35, No. 4, Article No. 138, 2016.","DOI":"10.1145\/2897824.2925975"},{"key":"218_CR58","doi-asserted-by":"crossref","unstructured":"Aberman, K.; Wu, R. D.; Lischinski, D.; Chen, B. Q.; Cohen-Or, D. Learning character-agnostic motion for motion retargeting in 2D. ACM Transactions on Graphics Vol. 38, No. 4, Article No. 75, 2019.","DOI":"10.1145\/3306346.3322999"},{"key":"218_CR59","doi-asserted-by":"crossref","unstructured":"Gui, L. Y.; Wang, Y. X.; Liang, X. D.; Moura, J. M. F. Adversarial geometry-aware human motion prediction. In: Computer Vision \u2014 ECCV 2018. Lecture Notes in Computer Science, Vol. 11208. Ferrari, V.; Hebert, M.; Sminchisescu, C.; Weiss, Y. Eds. Springer Cham, 823\u2013842, 2018.","DOI":"10.1007\/978-3-030-01225-0_48"},{"key":"218_CR60","doi-asserted-by":"crossref","unstructured":"Hadsell, R.; Chopra, S.; LeCun, Y. Dimensionality reduction by learning an invariant mapping. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1735\u20131742, 2006.","DOI":"10.1109\/CVPR.2006.100"},{"key":"218_CR61","doi-asserted-by":"crossref","unstructured":"Charles, R. Q.; Hao, S.; Mo, K. C.; Guibas, L. J. PointNet: Deep learning on point sets for 3D classification and segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 77\u201385, 2017.","DOI":"10.1109\/CVPR.2017.16"},{"issue":"1","key":"218_CR62","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1109\/TVCG.2019.2936810","volume":"27","author":"H Wang","year":"2021","unstructured":"Wang, H.; Ho, E. S. L.; Shum, H. P. H.; Zhu, Z. X. Spatio-temporal manifold learning for human motions via long-horizon modeling. IEEE Transactions on Visualization and Computer Graphics Vol. 27, No. 1, 216\u2013227, 2021.","journal-title":"IEEE Transactions on Visualization and Computer Graphics"}],"container-title":["Computational Visual Media"],"original-title":[],"link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41095-021-0218-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s41095-021-0218-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41095-021-0218-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10750449\/10897488\/10897496.pdf?arnumber=10897496","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T18:38:35Z","timestamp":1762367915000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10897496\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9]]},"references-count":62,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1007\/s41095-021-0218-8","relation":{},"ISSN":["2096-0662","2096-0433"],"issn-type":[{"type":"electronic","value":"2096-0662"},{"type":"print","value":"2096-0433"}],"subject":[],"published":{"date-parts":[[2021,9]]},"assertion":[{"value":"22 January 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 February 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 April 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}