{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T05:25:04Z","timestamp":1755926704088,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":62,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Natural Science Foundation of China","award":["91959108"],"award-info":[{"award-number":["91959108"]}]},{"name":"Guangdong Basic and Applied Basic Research Foundation","award":["2020A1515111199 and 2022A1515011018"],"award-info":[{"award-number":["2020A1515111199 and 2022A1515011018"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,10]]},"DOI":"10.1145\/3503161.3548205","type":"proceedings-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T15:42:35Z","timestamp":1665416555000},"page":"4594-4604","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Talk2Face: A Unified Sequence-based Framework for Diverse Face Generation and Analysis Tasks"],"prefix":"10.1145","author":[{"given":"Yudong","family":"Li","sequence":"first","affiliation":[{"name":"Shenzhen University & Shenzhen Institute of Artificial Intelligence of Robotics of Society, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xianxu","family":"Hou","sequence":"additional","affiliation":[{"name":"Shenzhen University & Shenzhen Institute of Artificial Intelligence of Robotics of Society, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhe","family":"Zhao","sequence":"additional","affiliation":[{"name":"Tencent AI Lab, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linlin","family":"Shen","sequence":"additional","affiliation":[{"name":"Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuefeng","family":"Yang","sequence":"additional","affiliation":[{"name":"Tencent AI Lab, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kimmo","family":"Yan","sequence":"additional","affiliation":[{"name":"Tencent AI Lab, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,10,10]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Proceedings of the acl workshop on intrinsic and extrinsic evaluation measures for machine translation and\/or summarization. 65--72","author":"Banerjee Satanjeev","year":"2005","unstructured":"Satanjeev Banerjee and Alon Lavie . 2005 . METEOR: An automatic metric for MT evaluation with improved correlation with human judgments . In Proceedings of the acl workshop on intrinsic and extrinsic evaluation measures for machine translation and\/or summarization. 65--72 . Satanjeev Banerjee and Alon Lavie. 2005. METEOR: An automatic metric for MT evaluation with improved correlation with human judgments. In Proceedings of the acl workshop on intrinsic and extrinsic evaluation measures for machine translation and\/or summarization. 65--72."},{"key":"e_1_3_2_2_2_1","volume-title":"Beit: Bert pre-training of image transformers. arXiv preprint arXiv:2106.08254","author":"Bao Hangbo","year":"2021","unstructured":"Hangbo Bao , Li Dong , and Furu Wei . 2021 . Beit: Bert pre-training of image transformers. arXiv preprint arXiv:2106.08254 (2021). Hangbo Bao, Li Dong, and Furu Wei. 2021. Beit: Bert pre-training of image transformers. arXiv preprint arXiv:2106.08254 (2021)."},{"key":"e_1_3_2_2_3_1","unstructured":"Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell etal 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020) 1877--1901.  Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020) 1877--1901."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2020.11.008"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00292"},{"key":"e_1_3_2_2_6_1","first-page":"9912","article-title":"Unsupervised learning of visual features by contrasting cluster assignments","volume":"33","author":"Caron Mathilde","year":"2020","unstructured":"Mathilde Caron , Ishan Misra , Julien Mairal , Priya Goyal , Piotr Bojanowski , and Armand Joulin . 2020 . Unsupervised learning of visual features by contrasting cluster assignments . Advances in Neural Information Processing Systems 33 (2020), 9912 -- 9924 . Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, and Armand Joulin. 2020. Unsupervised learning of visual features by contrasting cluster assignments. Advances in Neural Information Processing Systems 33 (2020), 9912--9924.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10599-4_49"},{"key":"e_1_3_2_2_8_1","volume-title":"Pix2seq: A language modeling framework for object detection. arXiv preprint arXiv:2109.10852","author":"Chen Ting","year":"2021","unstructured":"Ting Chen , Saurabh Saxena , Lala Li , David J Fleet , and Geoffrey Hinton . 2021. Pix2seq: A language modeling framework for object detection. arXiv preprint arXiv:2109.10852 ( 2021 ). Ting Chen, Saurabh Saxena, Lala Li, David J Fleet, and Geoffrey Hinton. 2021. Pix2seq: A language modeling framework for object detection. arXiv preprint arXiv:2109.10852 (2021)."},{"key":"e_1_3_2_2_9_1","volume-title":"International Conference on Machine Learning. PMLR","author":"Cho Jaemin","year":"2021","unstructured":"Jaemin Cho , Jie Lei , Hao Tan , and Mohit Bansal . 2021 . Unifying vision-andlanguage tasks via text generation . In International Conference on Machine Learning. PMLR , 1931--1942. Jaemin Cho, Jie Lei, Hao Tan, and Mohit Bansal. 2021. Unifying vision-andlanguage tasks via text generation. In International Conference on Machine Learning. PMLR, 1931--1942."},{"key":"e_1_3_2_2_10_1","volume-title":"Cogview: Mastering text-to-image generation via transformers. Advances in Neural Information Processing Systems 34","author":"Ding Ming","year":"2021","unstructured":"Ming Ding , Zhuoyi Yang , Wenyi Hong , Wendi Zheng , Chang Zhou , Da Yin , Junyang Lin , Xu Zou , Zhou Shao , Hongxia Yang , 2021 . Cogview: Mastering text-to-image generation via transformers. Advances in Neural Information Processing Systems 34 (2021). Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, et al. 2021. Cogview: Mastering text-to-image generation via transformers. Advances in Neural Information Processing Systems 34 (2021)."},{"key":"e_1_3_2_2_11_1","volume-title":"Unified language model pretraining for natural language understanding and generation. Advances in Neural Information Processing Systems 32","author":"Dong Li","year":"2019","unstructured":"Li Dong , Nan Yang , Wenhui Wang , Furu Wei , Xiaodong Liu , Yu Wang , Jianfeng Gao , Ming Zhou , and Hsiao-Wuen Hon . 2019. Unified language model pretraining for natural language understanding and generation. Advances in Neural Information Processing Systems 32 ( 2019 ). Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, and Hsiao-Wuen Hon. 2019. Unified language model pretraining for natural language understanding and generation. Advances in Neural Information Processing Systems 32 (2019)."},{"key":"e_1_3_2_2_12_1","unstructured":"Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly etal 2020. An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020).  Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly et al. 2020. An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020)."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01268"},{"key":"e_1_3_2_2_14_1","volume-title":"Deep Facial Synthesis: A New Challenge. arXiv preprint arXiv:2112.15439","author":"Fan Deng-Ping","year":"2021","unstructured":"Deng-Ping Fan , Ziling Huang , Peng Zheng , Hong Liu , Xuebin Qin , and Luc Van Gool . 2021. Deep Facial Synthesis: A New Challenge. arXiv preprint arXiv:2112.15439 ( 2021 ). Deng-Ping Fan, Ziling Huang, Peng Zheng, Hong Liu, Xuebin Qin, and Luc Van Gool. 2021. Deep Facial Synthesis: A New Challenge. arXiv preprint arXiv:2112.15439 (2021)."},{"key":"e_1_3_2_2_15_1","volume-title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium. Advances in neural information processing systems 30","author":"Heusel Martin","year":"2017","unstructured":"Martin Heusel , Hubert Ramsauer , Thomas Unterthiner , Bernhard Nessler , and Sepp Hochreiter . 2017. Gans trained by a two time-scale update rule converge to a local nash equilibrium. Advances in neural information processing systems 30 ( 2017 ). Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter. 2017. Gans trained by a two time-scale update rule converge to a local nash equilibrium. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_2_16_1","volume-title":"The Curious Case of Neural Text Degeneration. In International Conference on Learning Representations.","author":"Holtzman Ari","year":"2019","unstructured":"Ari Holtzman , Jan Buys , Li Du , Maxwell Forbes , and Yejin Choi . 2019 . The Curious Case of Neural Text Degeneration. In International Conference on Learning Representations. Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2019. The Curious Case of Neural Text Degeneration. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_17_1","volume-title":"TextFace: Text to-Style Mapping based Face Generation and Manipulation","author":"Hou Xianxu","year":"2022","unstructured":"Xianxu Hou , Xiaokang Zhang , Yudong Li , and Linlin Shen . 2022. TextFace: Text to-Style Mapping based Face Generation and Manipulation . IEEE Transactions on Multimedia ( 2022 ). Xianxu Hou, Xiaokang Zhang, Yudong Li, and Linlin Shen. 2022. TextFace: Text to-Style Mapping based Face Generation and Manipulation. IEEE Transactions on Multimedia (2022)."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3481540"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01354"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00159"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"e_1_3_2_2_22_1","volume-title":"Proceedings of NAACL-HLT. 4171--4186","author":"Ming-Wei Chang Jacob Devlin","year":"2019","unstructured":"Jacob Devlin Ming-Wei Chang Kenton and Lee Kristina Toutanova . 2019 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding . In Proceedings of NAACL-HLT. 4171--4186 . Jacob Devlin Ming-Wei Chang Kenton and Lee Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of NAACL-HLT. 4171--4186."},{"key":"e_1_3_2_2_23_1","volume-title":"Distribution matching for heterogeneous multi-task learning: a large-scale face study. arXiv preprint arXiv:2105.03790","author":"Kollias Dimitrios","year":"2021","unstructured":"Dimitrios Kollias , Viktoriia Sharmanska , and Stefanos Zafeiriou . 2021. Distribution matching for heterogeneous multi-task learning: a large-scale face study. arXiv preprint arXiv:2105.03790 ( 2021 ). Dimitrios Kollias, Viktoriia Sharmanska, and Stefanos Zafeiriou. 2021. Distribution matching for heterogeneous multi-task learning: a large-scale face study. arXiv preprint arXiv:2105.03790 (2021)."},{"key":"e_1_3_2_2_24_1","volume-title":"ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. In International Conference on Learning Representations.","author":"Lan Zhenzhong","year":"2019","unstructured":"Zhenzhong Lan , Mingda Chen , Sebastian Goodman , Kevin Gimpel , Piyush Sharma , and Radu Soricut . 2019 . ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. In International Conference on Learning Representations. Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2019. ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.703"},{"key":"e_1_3_2_2_26_1","volume-title":"Controllable text-to-image generation. Advances in Neural Information Processing Systems 32","author":"Li Bowen","year":"2019","unstructured":"Bowen Li , Xiaojuan Qi , Thomas Lukasiewicz , and Philip Torr . 2019. Controllable text-to-image generation. Advances in Neural Information Processing Systems 32 ( 2019 ). Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, and Philip Torr. 2019. Controllable text-to-image generation. Advances in Neural Information Processing Systems 32 (2019)."},{"key":"e_1_3_2_2_27_1","volume-title":"Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild. In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2584--2593","author":"Li Shan","year":"2017","unstructured":"Shan Li , Weihong Deng , and JunPing Du . 2017 . Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild. In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2584--2593 . Shan Li, Weihong Deng, and JunPing Du. 2017. Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild. In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2584--2593."},{"key":"e_1_3_2_2_28_1","volume-title":"Rouge: A package for automatic evaluation of summaries. In Text summarization branches out. 74--81.","author":"Lin Chin-Yew","year":"2004","unstructured":"Chin-Yew Lin . 2004 . Rouge: A package for automatic evaluation of summaries. In Text summarization branches out. 74--81. Chin-Yew Lin. 2004. Rouge: A package for automatic evaluation of summaries. In Text summarization branches out. 74--81."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"e_1_3_2_2_30_1","volume-title":"DecoupledWeight Decay Regularization. In International Conference on Learning Representations.","author":"Loshchilov Ilya","year":"2018","unstructured":"Ilya Loshchilov and Frank Hutter . 2018 . DecoupledWeight Decay Regularization. In International Conference on Learning Representations. Ilya Loshchilov and Frank Hutter. 2018. DecoupledWeight Decay Regularization. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/173"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2740923"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.532"},{"key":"e_1_3_2_2_34_1","volume-title":"Proceedings of the 40th annual meeting of the Association for Computational Linguistics. 311--318","author":"Papineni Kishore","year":"2002","unstructured":"Kishore Papineni , Salim Roukos , Todd Ward , and Wei-Jing Zhu . 2002 . Bleu: a method for automatic evaluation of machine translation . In Proceedings of the 40th annual meeting of the Association for Computational Linguistics. 311--318 . Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002. Bleu: a method for automatic evaluation of machine translation. In Proceedings of the 40th annual meeting of the Association for Computational Linguistics. 311--318."},{"key":"e_1_3_2_2_35_1","volume-title":"International Conference on Machine Learning. PMLR, 8748--8763","author":"Radford Alec","year":"2021","unstructured":"Alec Radford , Jong Wook Kim , Chris Hallacy , Aditya Ramesh , Gabriel Goh , Sandhini Agarwal , Girish Sastry , Amanda Askell , Pamela Mishkin , Jack Clark , 2021 . Learning transferable visual models from natural language supervision . In International Conference on Machine Learning. PMLR, 8748--8763 . Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al. 2021. Learning transferable visual models from natural language supervision. In International Conference on Machine Learning. PMLR, 8748--8763."},{"key":"e_1_3_2_2_36_1","unstructured":"Alec Radford JeffreyWu Rewon Child David Luan Dario Amodei Ilya Sutskever etal 2019. Language models are unsupervised multitask learners. OpenAI blog 1 8 (2019) 9.  Alec Radford JeffreyWu Rewon Child David Luan Dario Amodei Ilya Sutskever et al. 2019. Language models are unsupervised multitask learners. OpenAI blog 1 8 (2019) 9."},{"key":"e_1_3_2_2_37_1","first-page":"1","article-title":"Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer","volume":"21","author":"Raffel Colin","year":"2020","unstructured":"Colin Raffel , Noam Shazeer , Adam Roberts , Katherine Lee , Sharan Narang , Michael Matena , Yanqi Zhou , Wei Li , and Peter J Liu . 2020 . Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer . Journal of Machine Learning Research 21 (2020), 1 -- 67 . Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2020. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer. Journal of Machine Learning Research 21 (2020), 1--67.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_2_38_1","volume-title":"International Conference on Machine Learning. PMLR, 8821--8831","author":"Ramesh Aditya","year":"2021","unstructured":"Aditya Ramesh , Mikhail Pavlov , Gabriel Goh , Scott Gray , Chelsea Voss , Alec Radford , Mark Chen , and Ilya Sutskever . 2021 . Zero-shot text-to-image generation . In International Conference on Machine Learning. PMLR, 8821--8831 . Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever. 2021. Zero-shot text-to-image generation. In International Conference on Machine Learning. PMLR, 8821--8831."},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2017.137"},{"key":"e_1_3_2_2_40_1","volume-title":"International conference on machine learning. PMLR, 1060--1069","author":"Reed Scott","year":"2016","unstructured":"Scott Reed , Zeynep Akata , Xinchen Yan , Lajanugen Logeswaran , Bernt Schiele , and Honglak Lee . 2016 . Generative adversarial text to image synthesis . In International conference on machine learning. PMLR, 1060--1069 . Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, and Honglak Lee. 2016. Generative adversarial text to image synthesis. In International conference on machine learning. PMLR, 1060--1069."},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2015.41"},{"key":"e_1_3_2_2_42_1","volume-title":"Proceedings of the 30th International Conference on Neural Information Processing Systems. 2234--2242","author":"Salimans Tim","year":"2016","unstructured":"Tim Salimans , Ian Goodfellow , Wojciech Zaremba , Vicki Cheung , Alec Radford , and Xi Chen . 2016 . Improved techniques for training GANs . In Proceedings of the 30th International Conference on Neural Information Processing Systems. 2234--2242 . Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen. 2016. Improved techniques for training GANs. In Proceedings of the 30th International Conference on Neural Information Processing Systems. 2234--2242."},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/SISY52375.2021.9582508"},{"key":"e_1_3_2_2_44_1","volume-title":"Proceedings of the 29th ACM International Conference on Multimedia. 2290--2298","author":"Sun Jianxin","year":"2021","unstructured":"Jianxin Sun , Qi Li , Weining Wang , Jian Zhao , and Zhenan Sun . 2021 . Multicaption Text-to-Face Synthesis: Dataset and Algorithm . In Proceedings of the 29th ACM International Conference on Multimedia. 2290--2298 . Jianxin Sun, Qi Li, Weining Wang, Jian Zhao, and Zhenan Sun. 2021. Multicaption Text-to-Face Synthesis: Dataset and Algorithm. In Proceedings of the 29th ACM International Conference on Multimedia. 2290--2298."},{"key":"e_1_3_2_2_45_1","volume-title":"Attention is all you need. Advances in neural information processing systems 30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N Gomez , Lukasz Kaiser , and Illia Polosukhin . 2017. Attention is all you need. Advances in neural information processing systems 30 ( 2017 ). Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299087"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298935"},{"key":"e_1_3_2_2_48_1","volume-title":"arXiv preprint arXiv:2202.03052","author":"Wang Peng","year":"2022","unstructured":"Peng Wang , An Yang , Rui Men , Junyang Lin , Shuai Bai , Zhikang Li , Jianxin Ma , Chang Zhou , Jingren Zhou , and Hongxia Yang . 2022. Unifying Architectures , Tasks, and Modalities Through a Simple Sequence-to- Sequence Learning Framework . arXiv preprint arXiv:2202.03052 ( 2022 ). Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, and Hongxia Yang. 2022. Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework. arXiv preprint arXiv:2202.03052 (2022)."},{"key":"e_1_3_2_2_49_1","volume-title":"Distract Your Attention: Multi-head Cross Attention Network for Facial Expression Recognition. arXiv preprint arXiv:2109.07270","author":"Wen Zhengyao","year":"2021","unstructured":"Zhengyao Wen , Wenzhong Lin , Tao Wang , and Ge Xu. 2021. Distract Your Attention: Multi-head Cross Attention Network for Facial Expression Recognition. arXiv preprint arXiv:2109.07270 ( 2021 ). Zhengyao Wen, Wenzhong Lin, Tao Wang, and Ge Xu. 2021. Distract Your Attention: Multi-head Cross Attention Network for Facial Expression Recognition. arXiv preprint arXiv:2109.07270 (2021)."},{"key":"e_1_3_2_2_50_1","unstructured":"Yonghui Wu Mike Schuster Zhifeng Chen Quoc V Le Mohammad Norouzi Wolfgang Macherey Maxim Krikun Yuan Cao Qin Gao Klaus Macherey etal 2016. Google's neural machine translation system: Bridging the gap between human and machine translation. arXiv preprint arXiv:1609.08144 (2016).  Yonghui Wu Mike Schuster Zhifeng Chen Quoc V Le Mohammad Norouzi Wolfgang Macherey Maxim Krikun Yuan Cao Qin Gao Klaus Macherey et al. 2016. Google's neural machine translation system: Bridging the gap between human and machine translation. arXiv preprint arXiv:1609.08144 (2016)."},{"key":"e_1_3_2_2_51_1","volume-title":"TediGAN: Text-Guided Diverse Face Image Generation and Manipulation. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Xia Weihao","year":"2021","unstructured":"Weihao Xia , Yujiu Yang , Jing-Hao Xue , and Baoyuan Wu . 2021 . TediGAN: Text-Guided Diverse Face Image Generation and Manipulation. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Weihao Xia, Yujiu Yang, Jing-Hao Xue, and Baoyuan Wu. 2021. TediGAN: Text-Guided Diverse Face Image Generation and Manipulation. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_2_52_1","volume-title":"Towards Open- World Text-Guided Face Image Generation and Manipulation. arxiv preprint arxiv: 2104.08910","author":"Xia Weihao","year":"2021","unstructured":"Weihao Xia , Yujiu Yang , Jing-Hao Xue , and Baoyuan Wu. 2021. Towards Open- World Text-Guided Face Image Generation and Manipulation. arxiv preprint arxiv: 2104.08910 ( 2021 ). Weihao Xia, Yujiu Yang, Jing-Hao Xue, and Baoyuan Wu. 2021. Towards Open- World Text-Guided Face Image Generation and Manipulation. arxiv preprint arxiv: 2104.08910 (2021)."},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00143"},{"key":"e_1_3_2_2_54_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.201"},{"key":"e_1_3_2_2_55_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01307"},{"key":"e_1_3_2_2_56_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.629"},{"key":"e_1_3_2_2_57_1","volume-title":"Stackgan: Realistic image synthesis with stacked generative adversarial networks","author":"Zhang Han","year":"2018","unstructured":"Han Zhang , Tao Xu , Hongsheng Li , Shaoting Zhang , Xiaogang Wang , Xiaolei Huang , and Dimitris N Metaxas . 2018 . Stackgan: Realistic image synthesis with stacked generative adversarial networks . IEEE transactions on pattern analysis and machine intelligence 41, 8 (2018), 1947--1962. Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, and Dimitris N Metaxas. 2018. Stackgan: Realistic image synthesis with stacked generative adversarial networks. IEEE transactions on pattern analysis and machine intelligence 41, 8 (2018), 1947--1962."},{"key":"e_1_3_2_2_58_1","volume-title":"ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language Generation. arXiv preprint arXiv:2112.15283","author":"Zhang Han","year":"2021","unstructured":"Han Zhang , Weichong Yin , Yewei Fang , Lanxin Li , Boqiang Duan , Zhihua Wu , Yu Sun , Hao Tian , Hua Wu , and Haifeng Wang . 2021. ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language Generation. arXiv preprint arXiv:2112.15283 ( 2021 ). Han Zhang, Weichong Yin, Yewei Fang, Lanxin Li, Boqiang Duan, Zhihua Wu, Yu Sun, Hao Tian, Hua Wu, and Haifeng Wang. 2021. ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language Generation. arXiv preprint arXiv:2112.15283 (2021)."},{"key":"e_1_3_2_2_59_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-017-1055-1"},{"key":"e_1_3_2_2_60_1","volume-title":"Tao Liu, Wei Lu, Xi Chen, Haotang Deng, Qi Ju, and Xiaoyong Du.","author":"Zhao Zhe","year":"2019","unstructured":"Zhe Zhao , Hui Chen , Jinbin Zhang , Wayne Xin Zhao , Tao Liu, Wei Lu, Xi Chen, Haotang Deng, Qi Ju, and Xiaoyong Du. 2019 . UER : An Open-Source Toolkit for Pre-training Models. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations . 241--246. Zhe Zhao, Hui Chen, Jinbin Zhang, Wayne Xin Zhao, Tao Liu, Wei Lu, Xi Chen, Haotang Deng, Qi Ju, and Xiaoyong Du. 2019. UER: An Open-Source Toolkit for Pre-training Models. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations. 241--246."},{"key":"e_1_3_2_2_61_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7005"},{"key":"e_1_3_2_2_62_1","volume-title":"Generative Adversarial Network for Text-to-Face Synthesis and Manipulation with Pretrained BERT Model. In 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG","author":"Zhou Yutong","year":"2021","unstructured":"Yutong Zhou and Nobutaka Shimada . 2021 . Generative Adversarial Network for Text-to-Face Synthesis and Manipulation with Pretrained BERT Model. In 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021). 01--08. Yutong Zhou and Nobutaka Shimada. 2021. Generative Adversarial Network for Text-to-Face Synthesis and Manipulation with Pretrained BERT Model. In 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021). 01--08."}],"event":{"name":"MM '22: The 30th ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Lisboa Portugal","acronym":"MM '22"},"container-title":["Proceedings of the 30th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3548205","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503161.3548205","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:00:20Z","timestamp":1750186820000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3548205"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,10]]},"references-count":62,"alternative-id":["10.1145\/3503161.3548205","10.1145\/3503161"],"URL":"https:\/\/doi.org\/10.1145\/3503161.3548205","relation":{},"subject":[],"published":{"date-parts":[[2022,10,10]]},"assertion":[{"value":"2022-10-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}