{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T22:28:06Z","timestamp":1784068086551,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":56,"publisher":"ACM","funder":[{"name":"The Major Key Project of PCL","award":["PCL2024A02"],"award-info":[{"award-number":["PCL2024A02"]}]},{"name":"Natural Science Foundation of China","award":["62271013, 62031013"],"award-info":[{"award-number":["62271013, 62031013"]}]},{"name":"Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology","award":["2024B1212010006"],"award-info":[{"award-number":["2024B1212010006"]}]},{"name":"Guangdong Province Pearl River Talent Program","award":["2021QN020708"],"award-info":[{"award-number":["2021QN020708"]}]},{"name":"Guangdong Basic and Applied Basic Research Foundation","award":["2024A1515010155"],"award-info":[{"award-number":["2024A1515010155"]}]},{"name":"Shenzhen Science and Technology Program","award":["JCYJ20240813160202004, JCYJ20230807120808017"],"award-info":[{"award-number":["JCYJ20240813160202004, JCYJ20230807120808017"]}]},{"DOI":"10.13039\/501100017607","name":"Shenzhen Fundamental Research Program","doi-asserted-by":"publisher","award":["GXWD20201231165807007-20200806163656003"],"award-info":[{"award-number":["GXWD20201231165807007-20200806163656003"]}],"id":[{"id":"10.13039\/501100017607","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,27]]},"DOI":"10.1145\/3746027.3762382","type":"proceedings-article","created":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T07:27:39Z","timestamp":1761377259000},"page":"14326-14328","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["APP3DV'25: ACM Multimedia - International Workshop on Application-driven Point Cloud Processing and 3D Vision"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7429-5495","authenticated-orcid":false,"given":"Wei","family":"Gao","sequence":"first","affiliation":[{"name":"Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, School of Electronic and Computer Engineering, Peking University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7484-7261","authenticated-orcid":false,"given":"Sam","family":"Kwong","sequence":"additional","affiliation":[{"name":"Lingnan University, Tuen Mun, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8246-177X","authenticated-orcid":false,"given":"Zhu","family":"Li","sequence":"additional","affiliation":[{"name":"University of Missouri-Kansas City, Kansas City, MO, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1442-1207","authenticated-orcid":false,"given":"Shan","family":"Liu","sequence":"additional","affiliation":[{"name":"Tencent Media Lab, Palo Alto, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2564-7076","authenticated-orcid":false,"given":"Ge","family":"Li","sequence":"additional","affiliation":[{"name":"Peking University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,10,27]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Distortion Propagation Model-Based V-PCC Rate Control for 3D Point Cloud Broadcasting","author":"Cai Zhanyuan","year":"2024","unstructured":"Zhanyuan Cai, Wenxu Gao, Ge Li, and Wei Gao. 2024. Distortion Propagation Model-Based V-PCC Rate Control for 3D Point Cloud Broadcasting. IEEE Transactions on Broadcasting (2024), 1--13."},{"key":"e_1_3_2_1_2_1","volume-title":"Stochasticity-aware No-Reference Point Cloud Quality Assessment. In International Joint Conference on Artificial Intelligence.","author":"Fan Songlin","year":"2025","unstructured":"Songlin Fan, Wei Gao, Zhineng Chen, Ge Li, Guoqing Liu, and Qicheng Wang. 2025. Stochasticity-aware No-Reference Point Cloud Quality Assessment. In International Joint Conference on Artificial Intelligence."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19815-1_1"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i1.19942"},{"key":"e_1_3_2_1_5_1","volume-title":"AI-based Image and Video Coding: Methods, Standards, and Applications","author":"Gao Wei","unstructured":"Wei Gao. 2025. AI-based Image and Video Coding: Methods, Standards, and Applications. Springer Nature"},{"key":"e_1_3_2_1_6_1","volume-title":"AI-based 3D Point Cloud Coding: Methods, Standards, and Applications","author":"Gao Wei","unstructured":"Wei Gao. 2026. AI-based 3D Point Cloud Coding: Methods, Standards, and Applications. Springer Nature."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3235415"},{"key":"e_1_3_2_1_8_1","volume-title":"Overview and Comparison of AVS Point Cloud Compression Standard. APSIPA Transactions on Signal and Information Processing","author":"Gao Wei","year":"2024","unstructured":"Wei Gao, Wenxu Gao, Xingming Mu, Changhao Peng, and Ge Li. 2024. Overview and Comparison of AVS Point Cloud Compression Standard. APSIPA Transactions on Signal and Information Processing (2024)."},{"key":"e_1_3_2_1_9_1","volume-title":"Deep Learning for 3D Point Clouds","author":"Gao Wei","unstructured":"Wei Gao and Ge Li. 2024. Deep Learning for 3D Point Clouds. Springer Nature."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3689172"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3613464"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-97-9570-3"},{"key":"e_1_3_2_1_13_1","volume-title":"DPCSet: A Large-scale Dynamic Point Cloud Dataset for Compression and Perception. In ACM International Conference on Multimedia.","author":"Gao Wenxu","year":"2025","unstructured":"Wenxu Gao, Liang Xie, Kangli Wang, Jingxuan Su, Changhao Peng, and Wei Gao. 2025. DPCSet: A Large-scale Dynamic Point Cloud Dataset for Compression and Perception. In ACM International Conference on Multimedia."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548545"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3337637"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3685519"},{"key":"e_1_3_2_1_17_1","volume-title":"Point Cloud Compression: Technologies and Standardization","author":"Li Ge","unstructured":"Ge Li, Gao Wei, and Wen Gao. 2024. Point Cloud Compression: Technologies and Standardization. Springer Nature."},{"key":"e_1_3_2_1_18_1","volume-title":"Information Exploration of Projected Views for Point Cloud Quality Measurement","author":"Li Haohui","year":"2024","unstructured":"Haohui Li and Wei Gao. 2024. Information Exploration of Projected Views for Point Cloud Quality Measurement. IEEE Transactions on Instrumentation and Measurement (2024)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3746027.3758302"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3504282"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3160604"},{"key":"e_1_3_2_1_22_1","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision.","author":"Liu Wang","year":"2025","unstructured":"Wang Liu and Wei Gao. 2025. Omni-scene Perception-oriented Point Cloud Geometry Enhancement for Coordinate Quantization. In Proceedings of the IEEE\/CVF International Conference on Computer Vision."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3406425"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i4.28162"},{"key":"e_1_3_2_1_25_1","unstructured":"Zhiyi Pan Wei Gao and Ge Li. 2024. Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation. In Advances in Neural Information Processing Systems."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i5.28237"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i6.32680"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681615"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/DCC58796.2024.00014"},{"key":"e_1_3_2_1_30_1","volume-title":"Nonrigid RegistrationBased Progressive Motion Compensation for Point Cloud Geometry Compression","author":"Shao Yiting","year":"2023","unstructured":"Yiting Shao, Ge Li, Qi Zhang, Wei Gao, and Shan Liu. 2023. Nonrigid RegistrationBased Progressive Motion Compensation for Point Cloud Geometry Compression. IEEE Transactions on Geoscience and Remote Sensing (2023)."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3396694"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3098832"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i7.32763"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3322475"},{"key":"e_1_3_2_1_35_1","volume-title":"Zoom to Perceive Better: No-reference Point Cloud Quality Assessment via Exploring Effective Multiscale Feature","author":"Wang Jilong","year":"2024","unstructured":"Jilong Wang, Wei Gao, and Ge Li. 2024. Zoom to Perceive Better: No-reference Point Cloud Quality Assessment via Exploring Effective Multiscale Feature. IEEE Transactions on Circuits and Systems for Video Technology (2024)."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i12.33387"},{"key":"e_1_3_2_1_37_1","volume-title":"A Novel Benchmark and Dataset for Efficient 3D Gaussian Splatting with Gaussian Point Cloud Compression. arXiv preprint arXiv:2505.18197","author":"Wang Kangli","year":"2025","unstructured":"Kangli Wang, Shihao Li, Qianxi Yi, and Wei Gao. 2025. A Novel Benchmark and Dataset for Efficient 3D Gaussian Splatting with Gaussian Point Cloud Compression. arXiv preprint arXiv:2505.18197 (2025)."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3685512"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3685513"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/DCC58796.2024.00113"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681301"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/DCC58796.2024.00112"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1561\/116.20240031"},{"key":"e_1_3_2_1_44_1","volume-title":"PointCHD: A Point Cloud Benchmark for Congenital Heart Disease Classification and Segmentation","author":"Yang Dinghao","year":"2024","unstructured":"Dinghao Yang and Wei Gao. 2024. PointCHD: A Point Cloud Benchmark for Congenital Heart Disease Classification and Segmentation. IEEE Journal of Biomedical and Health Informatics (2024)."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3312919"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/DCC58796.2024.00117"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548215"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i12.33439"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00126"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3220198"},{"key":"e_1_3_2_1_51_1","volume-title":"LODPCAC: Level-of-Detail-Based Deep Lossless Point Cloud Attribute Compression","author":"Zhao Wenbo","year":"2025","unstructured":"Wenbo Zhao, Wei Gao, Dingquan Li, Jing Wang, and Guoqing Liu. 2025. LODPCAC: Level-of-Detail-Based Deep Lossless Point Cloud Attribute Compression. IEEE Transactions on Image Processing (2025)."},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i7.28588"},{"key":"e_1_3_2_1_53_1","volume-title":"OpenMVC: An Open-Source Library for Learning-based Multi-view Compression. In ACM International Conference on Multimedia.","author":"Zheng Huiming","year":"2025","unstructured":"Huiming Zheng and Wei Gao. 2025. OpenMVC: An Open-Source Library for Learning-based Multi-view Compression. In ACM International Conference on Multimedia."},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681225"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3746027.3756883"},{"key":"e_1_3_2_1_56_1","volume-title":"Octree-based Learned Point Cloud Geometry Compression: A Lossy Perspective. In 2025 Data Compression Conference (DCC). IEEE.","author":"Zheng Kaiyu","year":"2025","unstructured":"Kaiyu Zheng, Wei Gao, and Huiming Zheng. 2025. Octree-based Learned Point Cloud Geometry Compression: A Lossy Perspective. In 2025 Data Compression Conference (DCC). IEEE."}],"event":{"name":"MM '25: The 33rd ACM International Conference on Multimedia","location":"Dublin Ireland","acronym":"MM '25","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 33rd ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746027.3762382","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T05:02:49Z","timestamp":1765342969000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746027.3762382"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,27]]},"references-count":56,"alternative-id":["10.1145\/3746027.3762382","10.1145\/3746027"],"URL":"https:\/\/doi.org\/10.1145\/3746027.3762382","relation":{},"subject":[],"published":{"date-parts":[[2025,10,27]]},"assertion":[{"value":"2025-10-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}