{"total":32,"rows":[{"id":"2306.13631","title":"OpenMask3D: Open-Vocabulary 3D Instance Segmentation","created":"2023-06-23","cited_by_count":289,"area":null},{"id":"2103.14898","title":"SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences","created":"2021-03-27","cited_by_count":163,"area":null},{"id":"2110.02210","title":"Mix3D: Out-of-Context Data Augmentation for 3D Scenes","created":"2021-10-05","cited_by_count":126,"area":null},{"id":"2101.00443","title":"Semantics for Robotic Mapping, Perception and Interaction: A Survey","created":"2021-01-02","cited_by_count":56,"area":null},{"id":"2108.06076","title":"PVT: Point-Voxel Transformer for Point Cloud Learning","created":"2021-08-13","cited_by_count":43,"area":null},{"id":"2209.14858","title":"4D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object Proposal Generation and Aggregation","created":"2022-09-29","cited_by_count":35,"area":null},{"id":"2103.05423","title":"Deep Learning Based 3D Segmentation: A Survey","created":"2021-03-09","cited_by_count":30,"area":null},{"id":"2303.11048","title":"SGFormer: Semantic Graph Transformer for Point Cloud-based 3D Scene Graph Generation","created":"2023-03-20","cited_by_count":27,"area":null},{"id":"2406.05785","title":"A Survey on Text-guided 3D Visual Grounding: Elements, Recent Advances, and Future Directions","created":"2024-06-09","cited_by_count":25,"area":null},{"id":"2212.00786","title":"3D Segmentation of Humans in Point Clouds with Synthetic Data","created":"2022-12-01","cited_by_count":24,"area":null},{"id":"2311.02608","title":"Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook","created":"2023-11-05","cited_by_count":24,"area":null},{"id":"2403.00592","title":"Rethinking Few-shot 3D Point Cloud Semantic Segmentation","created":"2024-03-01","cited_by_count":18,"area":null},{"id":"2310.15676","title":"Recent Advances in Multi-modal 3D Intelligence: A Comprehensive Survey and Evaluation","created":"2023-10-24","cited_by_count":12,"area":null},{"id":"2104.03427","title":"FatNet: A Feature-attentive Network for 3D Point Cloud Processing","created":"2021-04-07","cited_by_count":10,"area":null},{"id":"2210.01558","title":"GaIA: Graphical Information Gain based Attention Network for Weakly Supervised Point Cloud Semantic Segmentation","created":"2022-10-02","cited_by_count":9,"area":null},{"id":"2211.13429","title":"UV-Based 3D Hand-Object Reconstruction with Grasp Optimization","created":"2022-11-24","cited_by_count":8,"area":null},{"id":"2206.13082","title":"PST: Plant segmentation transformer for 3D point clouds of rapeseed plants at the podding stage","created":"2022-06-27","cited_by_count":7,"area":null},{"id":"2210.05891","title":"Point Cloud Scene Completion with Joint Color and Semantic Estimation from Single RGB-D Image","created":"2022-10-12","cited_by_count":6,"area":null},{"id":"2303.04458","title":"Full Point Encoding for Local Feature Aggregation in 3D Point Clouds","created":"2023-03-08","cited_by_count":5,"area":null},{"id":"2203.00214","title":"Understanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Data","created":"2022-03-01","cited_by_count":4,"area":null},{"id":"2203.01152","title":"DisARM: Displacement Aware Relation Module for 3D Detection","created":"2022-03-02","cited_by_count":3,"area":null},{"id":"2305.15213","title":"GTNet: Graph Transformer Network for 3D Point Cloud Classification and Semantic Segmentation","created":"2023-05-24","cited_by_count":3,"area":null},{"id":"2102.03326","title":"Fusion of neural networks, for LIDAR-based evidential road mapping","created":"2021-02-05","cited_by_count":2,"area":null},{"id":"2111.08973","title":"Generating Unrestricted 3D Adversarial Point Clouds","created":"2021-11-17","cited_by_count":2,"area":null},{"id":"2303.04473","title":"DANet: Density Adaptive Convolutional Network with Interactive Attention for 3D Point Clouds","created":"2023-03-08","cited_by_count":2,"area":null},{"id":"2103.06432","title":"Robust 2D/3D Vehicle Parsing in CVIS","created":"2021-03-11","cited_by_count":1,"area":null},{"id":"2104.04721","title":"Do as we do: Multiple Person Video-To-Video Transfer","created":"2021-04-10","cited_by_count":1,"area":null},{"id":"2202.09721","title":"3DRM:Pair-wise relation module for 3D object detection","created":"2022-02-20","cited_by_count":1,"area":null},{"id":"2303.08240","title":"Parametric Surface Constrained Upsampler Network for Point Cloud","created":"2023-03-14","cited_by_count":1,"area":null},{"id":"2403.14124","title":"Soft Masked Transformer for Point Cloud Processing with Skip Attention-Based Upsampling","created":"2024-03-21","cited_by_count":0,"area":null},{"id":"2506.00475","title":"BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation","created":"2025-05-31","cited_by_count":0,"area":null},{"id":"2507.20589","title":"Methods for the Segmentation of Reticular Structures Using 3D LiDAR Data: A Comparative Evaluation","created":"2025-07-28","cited_by_count":0,"area":null}],"next_cursor":null}