{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T06:18:23Z","timestamp":1778048303726,"version":"3.51.4"},"reference-count":60,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T00:00:00Z","timestamp":1772755200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T00:00:00Z","timestamp":1772755200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,3,6]]},"DOI":"10.1109\/wacv61042.2026.00024","type":"proceedings-article","created":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T19:59:32Z","timestamp":1778011172000},"page":"160-170","source":"Crossref","is-referenced-by-count":0,"title":["LooC: Effective Low-Dimensional Codebook for Compositional Vector Quantization"],"prefix":"10.1109","author":[{"given":"Jie","family":"Li","sequence":"first","affiliation":[{"name":"The University of Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kwan-Yee K.","family":"Wong","sequence":"additional","affiliation":[{"name":"The University of Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai","family":"Han","sequence":"additional","affiliation":[{"name":"The University of Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.33899\/csmj.2005.164067"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.124"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11218"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref5","article-title":"Jukebox: A generative model for music","author":"Dhariwal","year":"2020"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i1.25130"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01268"},{"key":"ref8","article-title":"An image is worth one word: Personalizing text-to-image generation using textual inversion","volume-title":"International Conference on Learning Representations","author":"Gal"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.240"},{"key":"ref10","article-title":"Generative adversarial nets","volume":"27","author":"Goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MASSP.1984.1162229"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01043"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52733.2024.00729"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2023.3272470"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10095268"},{"key":"ref16","article-title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium","volume":"30","author":"Heusel","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2023.3265201"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01187"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.57"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2005.66"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.298"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"issue":"2","key":"ref23","article-title":"Color image segmentation using vector quantization techniques based on the energy ordering concept","volume":"1","author":"Kekre","year":"2009","journal-title":"International Journal of Computing Science and Communication Technologies"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2022.12.001"},{"key":"ref25","author":"Krizhevsky","year":"2009","journal-title":"Learning multiple layers of features from tiny images"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.192"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01123"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-023-01065-2"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICME55011.2023.00374"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i10.17036"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TCOM.1980.1094577"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00495"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/dcc58796.2024.00028"},{"key":"ref35","article-title":"Stacked quantizers for compositional vector compression","author":"Martinez","year":"2014"},{"key":"ref36","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","volume-title":"International Conference on Learning Representations","author":"Radford"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCOM.1986.1096468"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3233\/978-1-60750-842-7-208"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref40","first-page":"20987","article-title":"Sq-vae: Variational bayes on discrete representation with self-annealed stochastic quantization","volume-title":"International Conference on Machine Learning","author":"Takida"},{"key":"ref41","article-title":"Neural discrete representation learning","volume":"30","author":"Den Oord","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICFHR-2018.2018.00076"},{"key":"ref43","article-title":"Neural radiance field codebooks","volume-title":"International Conference on Learning Representations","author":"Wallingford"},{"key":"ref44","first-page":"4524","article-title":"Hierarchical quantized autoencoders","volume":"33","author":"Williams","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02134"},{"key":"ref46","author":"Xiao","year":"2017","journal-title":"Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2190086"},{"key":"ref48","article-title":"Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop","author":"Yu","year":"2015"},{"key":"ref49","article-title":"Vector-quantized image modeling with improved vqgan","volume-title":"International Conference on Learning Representations","author":"Yu"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553533"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00149"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/iccv51070.2023.02084"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.52202\/068431-1701"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73242-3_24"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2023.3330518"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.52202\/079017-0401"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01709"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3261755"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i7.28623"}],"event":{"name":"2026 IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV)","location":"Tucson, AZ, USA","start":{"date-parts":[[2026,3,6]]},"end":{"date-parts":[[2026,3,10]]}},"container-title":["2026 IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11491838\/11491925\/11492037.pdf?arnumber=11492037","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T05:53:45Z","timestamp":1778046825000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11492037\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,6]]},"references-count":60,"URL":"https:\/\/doi.org\/10.1109\/wacv61042.2026.00024","relation":{},"subject":[],"published":{"date-parts":[[2026,3,6]]}}}