{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T11:28:11Z","timestamp":1775474891986,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":59,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T00:00:00Z","timestamp":1698278400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,26]]},"DOI":"10.1145\/3581783.3612287","type":"proceedings-article","created":{"date-parts":[[2023,10,27]],"date-time":"2023-10-27T07:27:12Z","timestamp":1698391632000},"page":"1895-1904","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":17,"title":["Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-4993-7035","authenticated-orcid":false,"given":"Zhenhua","family":"Ning","sequence":"first","affiliation":[{"name":"Harbin Institute of Technology, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2698-6923","authenticated-orcid":false,"given":"Zhuotao","family":"Tian","sequence":"additional","affiliation":[{"name":"SmartMore, Hong Kong SAR, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1578-2634","authenticated-orcid":false,"given":"Guangming","family":"Lu","sequence":"additional","affiliation":[{"name":"Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies &amp; Harbin Institute of Technology, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8117-2696","authenticated-orcid":false,"given":"Wenjie","family":"Pei","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Shenzhen, China"}]}],"member":"320","published-online":{"date-parts":[[2023,10,27]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Sheng Ao Qingyong Hu Bo Yang Andrew Markham and Yulan Guo. 2021. SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration. In CVPR."},{"key":"e_1_3_2_1_2_1","unstructured":"I. Armeni A. Sax A. R. Zamir and S. Savarese. 2017. Joint 2D-3D-Semantic Data for Indoor Scene Understanding. ArXiv (2017)."},{"key":"e_1_3_2_1_3_1","volume-title":"Pablo Piantanida, Ismail Ben Ayed, and Jose Dolz.","author":"Boudiaf Malik","year":"2021","unstructured":"Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, and Jose Dolz. 2021. Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?. In CVPR."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Qi Cai Yingwei Pan Ting Yao Chenggang Yan and Tao Mei. 2018. Memory Matching Networks for One-Shot Image Recognition. In CVPR.","DOI":"10.1109\/CVPR.2018.00429"},{"key":"e_1_3_2_1_5_1","volume-title":"Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs. arXiv preprint arXiv:2302.01859","author":"Chen Mingyang","year":"2023","unstructured":"Mingyang Chen, Wen Zhang, Yuxia Geng, Zezhong Xu, Jeff Z Pan, and Hua-jun Chen. 2023. Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs. arXiv preprint arXiv:2302.01859 (2023)."},{"key":"e_1_3_2_1_6_1","unstructured":"Christopher Choy JunYoung Gwak and Silvio Savarese. 2019. 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks. In CVPR."},{"key":"e_1_3_2_1_7_1","first-page":"3695","article-title":"ResLT: Residual Learning for Long-Tailed Recognition","volume":"45","author":"Cui Jiequan","year":"2023","unstructured":"Jiequan Cui, Shu Liu, Zhuotao Tian, Zhisheng Zhong, and Jiaya Jia. 2023. ResLT: Residual Learning for Long-Tailed Recognition. TPAMI 45, 3 (2023), 3695--3706.","journal-title":"TPAMI"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2305.13948"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2204.01969"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2209.12400"},{"key":"e_1_3_2_1_11_1","unstructured":"Angela Dai Angel X. Chang Manolis Savva Maciej Halber Thomas Funkhouser and Matthias Nie\u00dfner. 2017. ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes. In CVPR."},{"key":"e_1_3_2_1_12_1","volume-title":"Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection. arXiv","author":"Deng Jiajun","year":"2020","unstructured":"Jiajun Deng, Shaoshuai Shi, Peiwei Li, Wengang Zhou, Yanyong Zhang, and Houqiang Li. 2020. Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection. arXiv (2020)."},{"key":"e_1_3_2_1_13_1","unstructured":"Chelsea Finn Pieter Abbeel and Sergey Levine. 2017. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks. In ICML."},{"key":"e_1_3_2_1_14_1","volume-title":"Girshick","author":"Hariharan Bharath","year":"2017","unstructured":"Bharath Hariharan and Ross B. Girshick. 2017. Low-Shot Visual Recognition by Shrinking and Hallucinating Features. In ICCV."},{"key":"e_1_3_2_1_15_1","volume-title":"Distilling the knowledge in a neural network. ArXiv","author":"Hinton Geoffrey","year":"2015","unstructured":"Geoffrey Hinton, Oriol Vinyals, and Jeff Dean. 2015. Distilling the knowledge in a neural network. ArXiv (2015)."},{"key":"e_1_3_2_1_16_1","volume-title":"Randla-net: Efficient semantic segmentation of large-scale point clouds. In CVPR.","author":"Hu Qingyong","year":"2020","unstructured":"Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, and Andrew Markham. 2020. Randla-net: Efficient semantic segmentation of large-scale point clouds. In CVPR."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Ahmet Iscen Giorgos Tolias Yannis Avrithis and Ondrej Chum. 2019. Label propagation for deep semi-supervised learning. In CVPR.","DOI":"10.1109\/CVPR.2019.00521"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Li Jiang Shaoshuai Shi Zhuotao Tian Xin Lai Shu Liu Chi-Wing Fu and Jiaya Jia. 2021. Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation. In ICCV.","DOI":"10.1109\/ICCV48922.2021.00636"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Li Jiang Shaoshuai Shi Zhuotao Tian Xin Lai Shu Liu Chi-Wing Fu and Jiaya Jia. 2021. Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation. In ICCV.","DOI":"10.1109\/ICCV48922.2021.00636"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Xin Lai Jianhui Liu Li Jiang Liwei Wang Hengshuang Zhao Shu Liu Xiaojuan Qi and Jiaya Jia. 2022. Stratified Transformer for 3D Point Cloud Segmentation. In CVPR.","DOI":"10.1109\/CVPR52688.2022.00831"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Xin Lai Zhuotao Tian Li Jiang Shu Liu Hengshuang Zhao Liwei Wang and Jiaya Jia. 2021. Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency. In CVPR.","DOI":"10.1109\/CVPR46437.2021.00126"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Xin Lai Zhuotao Tian Xiaogang Xu Ying-Cong Chen Shu Liu Hengshuang Zhao Liwei Wang and Jiaya Jia. 2022. DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation. In ECCV Shai Avidan Gabriel J. Brostow Moustapha Ciss\u00e9 Giovanni Maria Farinella and Tal Hassner (Eds.).","DOI":"10.1007\/978-3-031-19827-4_22"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3282989"},{"key":"e_1_3_2_1_24_1","volume-title":"Reasoning over Different Types of Knowledge Graphs: Static, Temporal and Multi-Modal. arXiv preprint arXiv:2212.05767","author":"Liang Ke","year":"2022","unstructured":"Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Si-hang Zhou, Xinwang Liu, and Fuchun Sun. 2022. Reasoning over Different Types of Knowledge Graphs: Static, Temporal and Multi-Modal. arXiv preprint arXiv:2212.05767 (2022)."},{"key":"e_1_3_2_1_25_1","volume-title":"Message Intercommunication for Inductive Relation Reasoning. arXiv preprint arXiv:2305.14074","author":"Liang Ke","year":"2023","unstructured":"Ke Liang, Lingyuan Meng, Sihang Zhou, Siwei Wang, Wenxuan Tu, Yue Liu, Meng Liu, and Xinwang Liu. 2023. Message Intercommunication for Inductive Relation Reasoning. arXiv preprint arXiv:2305.14074 (2023)."},{"key":"e_1_3_2_1_26_1","volume-title":"Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning. arXiv preprint arXiv:2307.03591","author":"Liang Ke","year":"2023","unstructured":"Ke Liang, Sihang Zhou, Yue Liu, Lingyuan Meng, Meng Liu, and Xinwang Liu. 2023. Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning. arXiv preprint arXiv:2307.03591 (2023)."},{"key":"e_1_3_2_1_27_1","unstructured":"Jianhui Liu Yukang Chen Xiaoqing Ye Zhuotao Tian Xiao Tan and Xiaojuan Qi. 2022. Spatial Pruned Sparse Convolution for Efficient 3D Object Detection. In NeurIPS."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2430526"},{"key":"e_1_3_2_1_29_1","unstructured":"Yongfei Liu Xiangyi Zhang Songyang Zhang and Xuming He. 2020. Part-aware Prototype Network for Few-shot Semantic Segmentation. In ECCV."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591743"},{"key":"e_1_3_2_1_31_1","volume-title":"Yuan Yan Tang, and Jiaya Jia","author":"Luo Xiaoliu","year":"2021","unstructured":"Xiaoliu Luo, Zhuotao Tian, Taiping Zhang, Bei Yu, Yuan Yan Tang, and Jiaya Jia. 2021. PFENet: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask. CoRR abs\/2109.13788 (2021). arXiv:2109.13788 https:\/\/arxiv.org\/abs\/2109.13788"},{"key":"e_1_3_2_1_32_1","volume-title":"Unifying Large Language Models and Knowledge Graphs: A Roadmap. arXiv preprint arxiv:306.08302","author":"Pan Shirui","year":"2023","unstructured":"Shirui Pan, Linhao Luo, Yufei Wang, Chen Chen, Jiapu Wang, and Xindong Wu. 2023. Unifying Large Language Models and Knowledge Graphs: A Roadmap. arXiv preprint arxiv:306.08302 (2023)."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2303"},{"key":"e_1_3_2_1_34_1","volume-title":"Pointnet: Deep learning on point sets for 3d classification and segmentation. In CVPR.","author":"Qi Charles R","year":"2017","unstructured":"Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas. 2017. Pointnet: Deep learning on point sets for 3d classification and segmentation. In CVPR."},{"key":"e_1_3_2_1_35_1","unstructured":"Charles Ruizhongtai Qi Li Yi Hao Su and Leonidas J Guibas. 2017. PointNet: Deep Hierarchical Feature Learning on Point Sets in a Metric Space. In NeurIPS."},{"key":"e_1_3_2_1_36_1","unstructured":"Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero and Raia Hadsell. 2019. Meta-Learning with Latent Embedding Optimization. In ICLR."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"crossref","unstructured":"Amirreza Shaban Shray Bansal Zhen Liu Irfan Essa and Byron Boots. 2017. One-Shot Learning for Semantic Segmentation. In BMVC.","DOI":"10.5244\/C.31.167"},{"key":"e_1_3_2_1_38_1","volume-title":"Zemel","author":"Snell Jake","year":"2017","unstructured":"Jake Snell, Kevin Swersky, and Richard S. Zemel. 2017. Prototypical Networks for Few-shot Learning. In NeurIPS."},{"key":"e_1_3_2_1_39_1","volume-title":"Hospedales","author":"Sung Flood","year":"2018","unstructured":"Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H. S. Torr, and Timothy M. Hospedales. 2018. Learning to Compare: Relation Network for Few-Shot Learning. In CVPR."},{"key":"e_1_3_2_1_40_1","volume-title":"Kpconv: Flexible and deformable convolution for point clouds. In ICCV.","author":"Thomas Hugues","year":"2019","unstructured":"Hugues Thomas, Charles R Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, Fran\u00e7ois Goulette, and Leonidas J Guibas. 2019. Kpconv: Flexible and deformable convolution for point clouds. In ICCV."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3159581"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i2.25340"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"crossref","unstructured":"Zhuotao Tian Xin Lai Li Jiang Shu Liu Michelle Shu Hengshuang Zhao and Jiaya Jia. 2022. Generalized Few-shot Semantic Segmentation. In CVPR.","DOI":"10.1109\/CVPR52688.2022.01127"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"crossref","unstructured":"Zhuotao Tian Michelle Shu Pengyuan Lyu Ruiyu Li Chao Zhou Xiaoyong Shen and Jiaya Jia. 2019. Learning Shape-Aware Embedding for Scene Text Detection. In CVPR.","DOI":"10.1109\/CVPR.2019.00436"},{"key":"e_1_3_2_1_45_1","volume-title":"Prior Guided Feature Enrichment Network for Few-Shot Segmentation. TPAMI","author":"Tian Zhuotao","year":"2020","unstructured":"Zhuotao Tian, Hengshuang Zhao, Michelle Shu, Zhicheng Yang, Ruiyu Li, and Jiaya Jia. 2020. Prior Guided Feature Enrichment Network for Few-Shot Segmentation. TPAMI (2020)."},{"key":"e_1_3_2_1_46_1","unstructured":"Oriol Vinyals Charles Blundell Tim Lillicrap Koray Kavukcuoglu and Daan Wierstra. 2016. Matching Networks for One Shot Learning. In NeurIPS."},{"key":"e_1_3_2_1_47_1","volume-title":"Yingtian Zou, Daquan Zhou, and Jiashi Feng.","author":"Wang Kaixin","year":"2019","unstructured":"Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, and Jiashi Feng. 2019. Panet: Few-shot image semantic segmentation with prototype alignment. In ICCV."},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"crossref","unstructured":"Yu-Xiong Wang Ross B. Girshick Martial Hebert and Bharath Hariharan. 2018. Low-Shot Learning From Imaginary Data. In CVPR.","DOI":"10.1109\/CVPR.2018.00760"},{"key":"e_1_3_2_1_49_1","volume-title":"Dynamic graph cnn for learning on point clouds. TOG","author":"Wang Yue","year":"2019","unstructured":"Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E Sarma, Michael M Bronstein, and Justin M Solomon. 2019. Dynamic graph cnn for learning on point clouds. TOG (2019)."},{"key":"e_1_3_2_1_50_1","unstructured":"Xiaoyang Wu Yixing Lao Li Jiang Xihui Liu and Hengshuang Zhao. 2022. Point transformer V2: Grouped Vector Attention and Partition-based Pooling. In NeurIPS."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"crossref","unstructured":"Dimitris Zermas Izzat Izzat and Nikolaos Papanikolopoulos. 2017. Fast segmen-tation of 3D point clouds: A paradigm on LiDAR data for autonomous vehicle applications. In ICRA.","DOI":"10.1109\/ICRA.2017.7989591"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"crossref","unstructured":"Chi Zhang Yujun Cai Guosheng Lin and Chunhua Shen. 2020. DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers. In CVPR.","DOI":"10.1109\/CVPR42600.2020.01222"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"crossref","unstructured":"Chi Zhang Guosheng Lin Fayao Liu Rui Yao and Chunhua Shen. 2019. CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning. In CVPR.","DOI":"10.1109\/CVPR.2019.00536"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2209.10307"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"crossref","unstructured":"Hongguang Zhang Jing Zhang and Piotr Koniusz. 2019. Few-Shot Learning via Saliency-Guided Hallucination of Samples. In CVPR.","DOI":"10.1109\/CVPR.2019.00288"},{"key":"e_1_3_2_1_56_1","unstructured":"Hengshuang Zhao Li Jiang Chi-Wing Fu and Jiaya Jia. 2019. PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing. In CVPR."},{"key":"e_1_3_2_1_57_1","volume-title":"Philip HS Torr, and Vladlen Koltun","author":"Zhao Hengshuang","year":"2021","unstructured":"Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip HS Torr, and Vladlen Koltun. 2021. Point transformer. In CVPR."},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"crossref","unstructured":"Na Zhao Tat-Seng Chua and Gim Hee Lee. 2021. Few-shot 3d point cloud semantic segmentation. In CVPR.","DOI":"10.1109\/CVPR46437.2021.00876"},{"key":"e_1_3_2_1_59_1","volume-title":"Quoc Viet Hung Nguyen, and Chen Gong","author":"Zhao Zicheng","year":"2023","unstructured":"Zicheng Zhao, Linhao Luo, Shirui Pan, Quoc Viet Hung Nguyen, and Chen Gong. 2023. Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach. ECML-PKDD (2023)"}],"event":{"name":"MM '23: The 31st ACM International Conference on Multimedia","location":"Ottawa ON Canada","acronym":"MM '23","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 31st ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3581783.3612287","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3581783.3612287","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:09:27Z","timestamp":1755821367000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3581783.3612287"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,26]]},"references-count":59,"alternative-id":["10.1145\/3581783.3612287","10.1145\/3581783"],"URL":"https:\/\/doi.org\/10.1145\/3581783.3612287","relation":{},"subject":[],"published":{"date-parts":[[2023,10,26]]},"assertion":[{"value":"2023-10-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}