{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T04:19:32Z","timestamp":1765340372362,"version":"3.46.0"},"publisher-location":"New York, NY, USA","reference-count":74,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62332010"],"award-info":[{"award-number":["62332010"]}],"id":[{"id":"10.13039\/501100001809","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\/3746027.3755843","type":"proceedings-article","created":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T07:38:54Z","timestamp":1761377934000},"page":"5286-5295","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Diffusion-Guided Knowledge Distillation for Weakly-Supervised Low-Light Semantic Segmentation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8803-5109","authenticated-orcid":false,"given":"Chunyan","family":"Wang","sequence":"first","affiliation":[{"name":"Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4543-2179","authenticated-orcid":false,"given":"Dong","family":"Zhang","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology, Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9008-222X","authenticated-orcid":false,"given":"Jinhui","family":"Tang","sequence":"additional","affiliation":[{"name":"Nanjing Forestry University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,10,27]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00523"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00431"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_34"},{"key":"e_1_3_2_1_4_1","volume-title":"Zoedepth: Zero-shot transfer by combining relative and metric depth. arXiv preprint arXiv:2302.12288","author":"Bhat Shariq Farooq","year":"2023","unstructured":"Shariq Farooq Bhat, Reiner Birkl, Diana Wofk, Peter Wonka, and Matthias M\u00fcller. 2023. Zoedepth: Zero-shot transfer by combining relative and metric depth. arXiv preprint arXiv:2302.12288 (2023)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01129"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01149"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3361474"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00347"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-023-01808-8"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3321977"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3261988"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00255"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569387"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.191"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2713168.2713194"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01643"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"volume-title":"Digital image processing","author":"Gonzales Rafael C","key":"e_1_3_2_1_18_1","unstructured":"Rafael C Gonzales and Paul Wintz. 1987. Digital image processing. Addison-Wesley Longman Publishing Co., Inc."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01453-z"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00185"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126343"},{"key":"e_1_3_2_1_22_1","unstructured":"Geoffrey Hinton Oriol Vinyals and Jeff Dean. 2014. Distilling the knowledge in a neural network. Neural Information Processing Systems (NeurIPS)."},{"key":"e_1_3_2_1_23_1","volume-title":"Distilling the knowledge in a neural network. arXiv preprint","author":"Hinton Geoffrey","year":"2015","unstructured":"Geoffrey Hinton, Oriol Vinyals, and Jeff Dean. 2015. Distilling the knowledge in a neural network. arXiv preprint (2015)."},{"key":"e_1_3_2_1_24_1","volume-title":"Denoising diffusion probabilistic models. Advances in neural Information Processing Systems (NeurIPS)","author":"Ho Jonathan","year":"2020","unstructured":"Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020. Denoising diffusion probabilistic models. Advances in neural Information Processing Systems (NeurIPS), Vol. 33 (2020), 6840-6851."},{"key":"e_1_3_2_1_25_1","volume-title":"Advances in Neural Information Processing Systems (NeurIPS)","volume":"36","author":"Hou Jinhui","year":"2024","unstructured":"Jinhui Hou, Zhiyu Zhu, Junhui Hou, Hui Liu, Huanqiang Zeng, and Hui Yuan. 2024. Global structure-aware diffusion process for low-light image enhancement. Advances in Neural Information Processing Systems (NeurIPS), Vol. 36 (2024)."},{"key":"e_1_3_2_1_26_1","first-page":"33716","article-title":"Knowledge distillation from a stronger teacher","volume":"35","author":"Huang Tao","year":"2022","unstructured":"Tao Huang, Shan You, Fei Wang, Chen Qian, and Chang Xu. 2022. Knowledge distillation from a stronger teacher. Advances in Neural Information Processing Systems (NeurIPS), Vol. 35 (2022), 33716-33727.","journal-title":"Advances in Neural Information Processing Systems (NeurIPS)"},{"key":"e_1_3_2_1_27_1","volume-title":"Advances in Neural Information Processing Systems (NeurIPS)","volume":"36","author":"Huang Tao","year":"2024","unstructured":"Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, and Chang Xu. 2024. Knowledge diffusion for distillation. Advances in Neural Information Processing Systems (NeurIPS), Vol. 36 (2024)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/APSIPAASC58517.2023.10317205"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2023.3280229"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3618373"},{"key":"e_1_3_2_1_31_1","volume-title":"Enlightengan: Deep light enhancement without paired supervision","author":"Jiang Yifan","year":"2021","unstructured":"Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, and Zhangyang Wang. 2021. Enlightengan: Deep light enhancement without paired supervision. IEEE transactions on image processing, Vol. 30 (2021), 2340-2349."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3134943"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58583-9_18"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00349"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.344"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01042"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3260240"},{"key":"e_1_3_2_1_39_1","volume-title":"End-to-end Semantic Segmentation Network for Low-Light Scenes. In IEEE International Conference on Robotics and Automation (ICRA). 7725-7731","author":"Mu Hongmin","year":"2024","unstructured":"Hongmin Mu, Gang Zhang, MengChu Zhou, and Zhengcai Cao. 2024. End-to-end Semantic Segmentation Network for Low-Light Scenes. In IEEE International Conference on Robotics and Automation (ICRA). 7725-7731."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01590-z"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.23919\/APSIPAASC55919.2022.9980302"},{"key":"e_1_3_2_1_42_1","volume-title":"Advances in Neural Information Processing Systems (NeurIPS)","volume":"32","author":"Paszke Adam","year":"2019","unstructured":"Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al., 2019. Pytorch: An imperative style, high-performance deep learning library. Advances in Neural Information Processing Systems (NeurIPS), Vol. 32 (2019)."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01050"},{"key":"e_1_3_2_1_44_1","volume-title":"Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer","author":"Ranftl Ren\u00e9","year":"2020","unstructured":"Ren\u00e9 Ranftl, Katrin Lasinger, David Hafner, Konrad Schindler, and Vladlen Koltun. 2020. Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer. IEEE transactions on pattern analysis and machine intelligence, Vol. 44, 3 (2020), 1623-1637."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01634"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00302"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00747"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3045882"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01059"},{"volume-title":"Denoising Diffusion Implicit Models. In International Conference on Learning Representations.","author":"Song Jiaming","key":"e_1_3_2_1_50_1","unstructured":"Jiaming Song, Chenlin Meng, and Stefano Ermon. [n.d.]. Denoising Diffusion Implicit Models. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00717"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3122004"},{"key":"e_1_3_2_1_53_1","first-page":"107984","article-title":"Yolov10: Real-time end-to-end object detection","volume":"37","author":"Wang Ao","year":"2024","unstructured":"Ao Wang, Hui Chen, Lihao Liu, Kai Chen, Zijia Lin, Jungong Han, et al., 2024. Yolov10: Real-time end-to-end object detection. Advances in Neural Information Processing Systems, Vol. 37 (2024), 107984-108011.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_54_1","volume-title":"Coupling Global Context and Local Contents for Weakly-Supervised Semantic Segmentation","author":"Wang Chunyan","year":"2023","unstructured":"Chunyan Wang, Dong Zhang, Liyan Zhang, and Jinhui Tang. 2023. Coupling Global Context and Local Contents for Weakly-Supervised Semantic Segmentation. IEEE Transactions on Neural Networks and Learning Systems (2023)."},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00118"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00070"},{"key":"e_1_3_2_1_57_1","volume-title":"Deep Retinex Decomposition for Low-Light Enhancement. In British Machine Vision Conference (BMVC). British Machine Vision Association.","author":"Wei Chen","year":"2018","unstructured":"Chen Wei, Wenjing Wang, Wenhan Yang, and Jiaying Liu. 2018. Deep Retinex Decomposition for Low-Light Enhancement. In British Machine Vision Conference (BMVC). British Machine Vision Association."},{"key":"e_1_3_2_1_58_1","first-page":"8520","article-title":"Physics-based noise modeling for extreme low-light photography","volume":"44","author":"Wei Kaixuan","year":"2021","unstructured":"Kaixuan Wei, Ying Fu, Yinqiang Zheng, and Jiaolong Yang. 2021. Physics-based noise modeling for extreme low-light photography. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 44, 11 (2021), 8520-8537.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01974"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.01.006"},{"key":"e_1_3_2_1_61_1","volume-title":"MADA: Multi-Level Alignment in Domain Adaptation Network for Nighttime Semantic Segmentation. In International Conference on Image, Vision and Computing (ICIVC). IEEE, 352-357","author":"Xu Mengfan","year":"2023","unstructured":"Mengfan Xu, Wei Huang, and Rui Huang. 2023. MADA: Multi-Level Alignment in Domain Adaptation Network for Nighttime Semantic Segmentation. In International Conference on Image, Vision and Computing (ICIVC). IEEE, 352-357."},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.00533"},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00987"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00364"},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2025.3525671"},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-023-09318-x"},{"key":"e_1_3_2_1_67_1","volume-title":"Causal intervention for weakly-supervised semantic segmentation. Advances in neural information processing systems","author":"Zhang Dong","year":"2020","unstructured":"Dong Zhang, Hanwang Zhang, Jinhui Tang, Xian-Sheng Hua, and Qianru Sun. 2020a. Causal intervention for weakly-supervised semantic segmentation. Advances in neural information processing systems, Vol. 33 (2020), 655-666."},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58604-1_20"},{"key":"e_1_3_2_1_69_1","volume-title":"Wakeup-Darkness: When Multimodal Meets Unsupervised Low-light Image Enhancement. ACM Transactions on Multimedia Computing, Communications and Applications","author":"Zhang Xiaofeng","year":"2025","unstructured":"Xiaofeng Zhang, Zishan Xu, Hao Tang, Chaochen Gu, Wei Chen, and Abdulmotaleb El Saddik. 2025. Wakeup-Darkness: When Multimodal Meets Unsupervised Low-light Image Enhancement. ACM Transactions on Multimedia Computing, Communications and Applications (2025)."},{"key":"e_1_3_2_1_70_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i7.28563"},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01605"},{"key":"e_1_3_2_1_72_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3409903"},{"key":"e_1_3_2_1_73_1","volume-title":"Pyramid diffusion models for low-light image enhancement. arXiv preprint arXiv:2305.10028","author":"Zhou Dewei","year":"2023","unstructured":"Dewei Zhou, Zongxin Yang, and Yi Yang. 2023. Pyramid diffusion models for low-light image enhancement. arXiv preprint arXiv:2305.10028 (2023)."},{"key":"e_1_3_2_1_74_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3367952"}],"event":{"name":"MM '25: The 33rd ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Dublin Ireland","acronym":"MM '25"},"container-title":["Proceedings of the 33rd ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746027.3755843","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T04:15:10Z","timestamp":1765340110000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746027.3755843"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,27]]},"references-count":74,"alternative-id":["10.1145\/3746027.3755843","10.1145\/3746027"],"URL":"https:\/\/doi.org\/10.1145\/3746027.3755843","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"}}]}}