{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T09:59:25Z","timestamp":1777888765191,"version":"3.51.4"},"reference-count":44,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"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","award":["62171248,62301189,624B2088"],"award-info":[{"award-number":["62171248,62301189,624B2088"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,19]]},"DOI":"10.1109\/iccv51701.2025.01459","type":"proceedings-article","created":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:45:49Z","timestamp":1777491949000},"page":"15727-15736","source":"Crossref","is-referenced-by-count":0,"title":["Cassic: Towards Content-Adaptive State-Space Models for Learned Image Compression"],"prefix":"10.1109","author":[{"given":"Shiyu","family":"Qin","sequence":"first","affiliation":[{"name":"Tsinghua University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinpeng","family":"Wang","sequence":"additional","affiliation":[{"name":"Tsinghua University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yimin","family":"Zhou","sequence":"additional","affiliation":[{"name":"Tsinghua University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Chen","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology,Shenzhen"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianci","family":"Luo","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology,Shenzhen"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baoyi","family":"An","sequence":"additional","affiliation":[{"name":"Huawei Technologies Company Ltd"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Dai","sequence":"additional","affiliation":[{"name":"Shenzhen University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shu-Tao","family":"Xia","sequence":"additional","affiliation":[{"name":"Tsinghua University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaowei","family":"Wang","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology,Shenzhen"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"63","article-title":"Testimages: a largescale archive for testing visual devices and basic image processing algorithms","author":"Asuni","year":"2014","journal-title":"STAG"},{"key":"ref2","article-title":"End-to-end optimized image compression","volume-title":"International Conference on Learning Representations","author":"Ball\u00e9","year":"2017"},{"key":"ref3","article-title":"Variational image compression with a scale hyperprior","volume-title":"International Conference on Learning Representations","author":"Ball\u00e9","year":"2018"},{"key":"ref4","article-title":"Compressai: a pytorch library and evaluation platform for end-to-end compression research","author":"B\u00e9gaint","year":"2020","journal-title":"arXiv preprint"},{"key":"ref5","author":"Bellard","year":"2018","journal-title":"Bpg image format"},{"key":"ref6","article-title":"Calculation of average psnr differences between rd-curves","author":"Bjontegaard","year":"2001","journal-title":"ITU SG16 Doc. VCEG-M33"},{"key":"ref7","article-title":"Calculation of average psnr differences between rd-curves","author":"Bjontegaard","year":"2001","journal-title":"ITU-T SG16, Doc. VCEG-M33"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3101953"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2024.3407111"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3058615"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00796"},{"key":"ref12","year":"2025","journal-title":"Webp: A new image format for the web"},{"key":"ref13","article-title":"Mamba: Linear-time sequence modeling with selective state spaces","author":"Gu","year":"2023","journal-title":"arXiv preprint"},{"key":"ref14","article-title":"Efficiently modeling long sequences with structured state spaces","volume-title":"International Conference on Learning Representations","author":"Gu"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72649-1_13"},{"key":"ref16","first-page":"133231","article-title":"Causal context adjustment loss for learned image compression","volume":"37","author":"Han","year":"2025","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01453"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00563"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102779"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6736"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25551"},{"key":"ref22","article-title":"Mlic++: Linear complexity multi-reference entropy modeling for learned image compression","volume-title":"ICML 2023 Workshop Neural Compression: From Information Theory to Applications","author":"Jiang","year":"2023"},{"key":"ref23","author":"Kodak","year":"1993","journal-title":"Kodak lossless true color image suite (photocd pcd0992)"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01316-z"},{"key":"ref25","article-title":"Frequency-aware transformer for learned image compression","volume-title":"The Twelfth International Conference on Learning Representations","author":"Li"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2024.3404604"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01383"},{"key":"ref28","article-title":"An exploration with entropy constrained 3d gaussians for 2d video compression","volume-title":"The Thirteenth International Conference on Learning Representations","author":"Liu","year":"2023"},{"key":"ref29","article-title":"Vmamba: Visual state space model","author":"Liu","year":"2024","journal-title":"arXiv preprint"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP40778.2020.9190935"},{"key":"ref31","article-title":"Mambavc: Learned visual compression with selective state spaces","author":"Qin","year":"2024","journal-title":"arXiv preprint"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP51287.2024.10647754"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2025.111848"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/79.952804"},{"key":"ref35","article-title":"Simplified state space layers for sequence modeling","volume-title":"The Eleventh International Conference on Learning Representations","author":"Smith"},{"key":"ref36","article-title":"Workshop and challenge on learned image compression (clic2020)","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops","author":"Toderici","year":"2020"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/103085.103089"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2024.3521798"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72111-3_54"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52734.2025.01681"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-97-5128-0_27"},{"key":"ref42","article-title":"Vision mamba: Efficient visual representation learning with bidirectional state space model","volume-title":"Forty-first International Conference on Machine Learning","author":"Zhu"},{"key":"ref43","article-title":"Transformer-based transform coding","volume-title":"International Conference on Learning Representations","author":"Zhu","year":"2022"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01697"}],"event":{"name":"2025 IEEE\/CVF International Conference on Computer Vision (ICCV)","location":"Honolulu, HI, USA","start":{"date-parts":[[2025,10,19]]},"end":{"date-parts":[[2025,10,25]]}},"container-title":["2025 IEEE\/CVF International Conference on Computer Vision (ICCV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11443115\/11443287\/11444935.pdf?arnumber=11444935","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T04:55:05Z","timestamp":1777611305000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11444935\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/iccv51701.2025.01459","relation":{},"subject":[],"published":{"date-parts":[[2025,10,19]]}}}