[55] Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever. Learning Transferable Visual Models From Natural Language Supervision. In International Conference on Machine Learning (ICML), 2021.
[56] Yongming Rao, Wenliang Zhao, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, and Jiwen Lu. DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting. In Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[57] David Rozenberszki, Or Litany, and Angela Dai. Language-Grounded Indoor 3D Semantic Segmentation in the Wild. In European Conference on Computer Vision (ECCV), 2022.
[58] Jonas Schult, Francis Engelmann, Alexander Hermans, Or Litany, Siyu Tang, and Bastian Leibe. Mask3D: Mask Transformer for 3D Semantic Instance Segmentation. In International Conference on Robotics and Automation (ICRA), 2023.
[59] Nur Muhammad Shafiullah, Chris Paxton, Lerrel Pinto, Soumith Chintala, and Arthur D. Szlam. CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory. 2023.
[60] Dhruv Shah, Blazej Osinski, Brian Ichter, and Sergey Levine. Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action. 2022.
[61] Julian Straub, Thomas Whelan, Lingni Ma, Yufan Chen, Erik Wijmans, Simon Green, Jakob J. Engel, Raul Mur-Artal, Carl Ren, Shobhit Verma, Anton Clarkson, Mingfei Yan, Brian Budge, Yajie Yan, Xiaqing Pan, June Yon, Yuyang Zou, Kimberly Leon, Nigel Carter, Jesus Briales, Tyler Gillingham, Elias Mueggler, Luis Pesqueira, Manolis Savva, Dhruv Batra, Hauke M. Strasdat, Renzo De Nardi, Michael Goesele, Steven Lovegrove, and Richard Newcombe. The Replica dataset: A digital replica of indoor spaces. arXiv preprint arXiv:1906.05797, 2019.
[62] Ayca Takmaz, Jonas Schult, Irem Kaftan, Mertcan Akçay, Bastian Leibe, Robert Sumner, Francis Engelmann, and Siyu Tang. 3D Segmentation of Humans in Point Clouds with Synthetic Data. In International Conference on Computer Vision (ICCV), 2023.
[63] Lyne P. Tchapmi, Christopher B. Choy, Iro Armeni, JunYoung Gwak, and Silvio Savarese. SEGCloud: Semantic Segmentation of 3D Point Clouds. In International Conference on 3D Vision (3DV), 2017.
[64] Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatrix Marcogui, François Goulette, and Leonidas J. Guibas. KPConv: Flexible and Deformable Convolution for Point Clouds. In International Conference on Computer Vision (ICCV), 2019.
[65] Thang Vu, Kookhoi Kim, Tung M. Luu, Xuan Thanh Nguyen, and Chang D. Yoo. SoftGroup for 3D Instance Segmentation on 3D Point Clouds. In Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[66] Tianyi Wang, Jian Li, and Xiangjing An. An Efficient Scene Semantic Labeling Approach for 3D Point Cloud. In IEEE International Conference on Intelligent Transportation Systems (ITSC), 2015.
[67] Weiyue Wang, Ronald Yu, Qiangui Huang, and Ulrich Neumann. SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation. In Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
[68] Silvan Weder, Hermann Blum, Francis Engelmann, and Marc Pollefeys. LabelMaker: Automatic Semantic Label Generation from RGB-D Trajectories. In International Conference on 3D Vision (3DV), 2024.
[69] Tianhan Wei, Xiang Li, Yau Pun Chen, Yu-Wing Tai, and Chi-Keung Tang. FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation. Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[70] Daniel Wolf, Johann Prankl, and Markus Vincze. Fast Semantic Segmentation of 3D Point Clouds using a Dense CRF with Learned Parameters. In International Conference on Robotics and Automation (ICRA), 2015.
[71] Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas Breuel, Jan Kautz, and Xiaolong Wang. GroupViT: Semantic Segmentation Emerges from Text Supervision. In Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[72] Jiarui Xu, Sifei Liu, Arash Vahdat, Wonmin Byeon, Xiaolong Wang, and Shalini De Mello. ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models. In CVPR, 2023.