{"total":118,"rows":[{"id":"2312.10035","title":"Point Transformer V3: Simpler, Faster, Stronger","created":"2023-12-15","cited_by_count":589,"area":null},{"id":"2210.05666","title":"Point Transformer V2: Grouped Vector Attention and Partition-based Pooling","created":"2022-10-11","cited_by_count":388,"area":null},{"id":"2112.10482","title":"ScanQA: 3D Question Answering for Spatial Scene Understanding","created":"2021-12-20","cited_by_count":346,"area":null},{"id":"2204.07761","title":"Language-Grounded Indoor 3D Semantic Segmentation in the Wild","created":"2022-04-16","cited_by_count":246,"area":null},{"id":"2203.04838","title":"CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers","created":"2022-03-09","cited_by_count":231,"area":null},{"id":"2203.14508","title":"Stratified Transformer for 3D Point Cloud Segmentation","created":"2022-03-28","cited_by_count":167,"area":null},{"id":"2303.14207","title":"DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis","created":"2023-03-24","cited_by_count":166,"area":"diffusion"},{"id":"2306.03908","title":"SAM3D: Segment Anything in 3D Scenes","created":"2023-06-06","cited_by_count":157,"area":null},{"id":"2106.05304","title":"Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline","created":"2021-06-09","cited_by_count":145,"area":null},{"id":"2111.13260","title":"NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes","created":"2021-11-25","cited_by_count":119,"area":null},{"id":"2503.16429","title":"Sonata: Self-Supervised Learning of Reliable Point Representations","created":"2025-03-20","cited_by_count":110,"area":null},{"id":"2305.03045","title":"OctFormer: Octree-based Transformers for 3D Point Clouds","created":"2023-05-04","cited_by_count":109,"area":null},{"id":"2107.02191","title":"TransformerFusion: Monocular RGB Scene Reconstruction using Transformers","created":"2021-07-05","cited_by_count":106,"area":null},{"id":"2103.14326","title":"Bidirectional Projection Network for Cross Dimension Scene Understanding","created":"2021-03-26","cited_by_count":95,"area":null},{"id":"2104.02246","title":"One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation","created":"2021-04-06","cited_by_count":89,"area":null},{"id":"2303.04748","title":"CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIP","created":"2023-03-08","cited_by_count":89,"area":null},{"id":"2308.09718","title":"Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training","created":"2023-08-18","cited_by_count":86,"area":null},{"id":"2204.03636","title":"SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation","created":"2022-04-07","cited_by_count":76,"area":null},{"id":"2103.07466","title":"3D Semantic Scene Completion: a Survey","created":"2021-03-12","cited_by_count":74,"area":null},{"id":"2111.02444","title":"Panoptic 3D Scene Reconstruction From a Single RGB Image","created":"2021-11-03","cited_by_count":70,"area":null},{"id":"2203.00843","title":"X-Trans2Cap: Cross-Modal Knowledge Transfer using Transformer for 3D Dense Captioning","created":"2022-03-02","cited_by_count":70,"area":"distill"},{"id":"2212.00836","title":"UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding","created":"2022-12-01","cited_by_count":69,"area":null},{"id":"2403.00762","title":"Point Cloud Mamba: Point Cloud Learning via State Space Model","created":"2024-03-01","cited_by_count":66,"area":"ssm"},{"id":"2404.08351","title":"OmniSat: Self-Supervised Modality Fusion for Earth Observation","created":"2024-04-12","cited_by_count":63,"area":null},{"id":"2104.11225","title":"Pri3D: Can 3D Priors Help 2D Representation Learning?","created":"2021-04-22","cited_by_count":61,"area":null},{"id":"2110.11325","title":"Learning 3D Semantic Segmentation with only 2D Image Supervision","created":"2021-10-21","cited_by_count":60,"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":"2203.05272","title":"Contrastive Boundary Learning for Point Cloud Segmentation","created":"2022-03-10","cited_by_count":56,"area":null},{"id":"2112.02990","title":"4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding","created":"2021-12-06","cited_by_count":54,"area":null},{"id":"2203.09065","title":"STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset","created":"2022-03-17","cited_by_count":53,"area":null},{"id":"2112.01551","title":"D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding","created":"2021-12-02","cited_by_count":52,"area":null},{"id":"2104.02243","title":"3D-to-2D Distillation for Indoor Scene Parsing","created":"2021-04-06","cited_by_count":48,"area":null},{"id":"2204.07548","title":"Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation","created":"2022-04-15","cited_by_count":47,"area":null},{"id":"2212.00338","title":"3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification","created":"2022-12-01","cited_by_count":46,"area":null},{"id":"2303.03361","title":"Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision","created":"2023-03-06","cited_by_count":44,"area":null},{"id":"2405.10255","title":"When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models","created":"2024-05-16","cited_by_count":43,"area":"mllm"},{"id":"2106.04180","title":"Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models","created":"2021-06-08","cited_by_count":41,"area":null},{"id":"2304.04395","title":"Instance Neural Radiance Field","created":"2023-04-10","cited_by_count":40,"area":null},{"id":"2312.03015","title":"PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation","created":"2023-12-05","cited_by_count":37,"area":null},{"id":"2303.08134","title":"Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis","created":"2023-03-14","cited_by_count":34,"area":null},{"id":"2104.04687","title":"Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D Pretraining","created":"2021-04-10","cited_by_count":33,"area":null},{"id":"2303.14541","title":"UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes","created":"2023-03-25","cited_by_count":31,"area":null},{"id":"2103.05423","title":"Deep Learning Based 3D Segmentation: A Survey","created":"2021-03-09","cited_by_count":30,"area":null},{"id":"2207.11209","title":"Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization","created":"2022-07-22","cited_by_count":26,"area":null},{"id":"2203.11113","title":"No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces","created":"2022-03-21","cited_by_count":25,"area":null},{"id":"2207.04997","title":"A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision","created":"2022-07-11","cited_by_count":24,"area":null},{"id":"2101.02381","title":"Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds","created":"2021-01-07","cited_by_count":23,"area":null},{"id":"2105.10203","title":"Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning","created":"2021-05-21","cited_by_count":22,"area":null},{"id":"2111.15363","title":"Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding","created":"2021-11-30","cited_by_count":22,"area":null},{"id":"2306.00965","title":"BUOL: A Bottom-Up Framework with Occupancy-aware Lifting for Panoptic 3D Scene Reconstruction From A Single Image","created":"2023-06-01","cited_by_count":20,"area":null},{"id":"2312.11112","title":"ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding","created":"2023-12-18","cited_by_count":16,"area":null},{"id":"2302.14746","title":"Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors","created":"2023-02-28","cited_by_count":15,"area":null},{"id":"2403.15173","title":"LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels","created":"2024-03-22","cited_by_count":15,"area":null},{"id":"2502.18373","title":"EgoSim: An Egocentric Multi-view Simulator and Real Dataset for Body-worn Cameras during Motion and Activity","created":"2025-02-25","cited_by_count":15,"area":null},{"id":"2308.04782","title":"PointMBF: A Multi-scale Bidirectional Fusion Network for Unsupervised RGB-D Point Cloud Registration","created":"2023-08-09","cited_by_count":14,"area":null},{"id":"2302.14418","title":"PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry","created":"2023-02-28","cited_by_count":13,"area":null},{"id":"2108.05246","title":"A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes","created":"2021-08-11","cited_by_count":12,"area":null},{"id":"2503.01309","title":"OnlineAnySeg: Online Zero-Shot 3D Segmentation by Visual Foundation Model Guided 2D Mask Merging","created":"2025-03-03","cited_by_count":12,"area":null},{"id":"2108.03917","title":"LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral Lattices","created":"2021-08-09","cited_by_count":11,"area":null},{"id":"2205.13490","title":"SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation","created":"2022-05-26","cited_by_count":11,"area":null},{"id":"2307.04231","title":"Mx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic Segmentation","created":"2023-07-09","cited_by_count":10,"area":null},{"id":"2407.09648","title":"3x2: 3D Object Part Segmentation by 2D Semantic Correspondences","created":"2024-07-12","cited_by_count":10,"area":null},{"id":"2310.15712","title":"GNeSF: Generalizable Neural Semantic Fields","created":"2023-10-24","cited_by_count":9,"area":null},{"id":"2503.03190","title":"DSPNet: Dual-vision Scene Perception for Robust 3D Question Answering","created":"2025-03-05","cited_by_count":9,"area":null},{"id":"2204.08824","title":"Semi-supervised 3D shape segmentation with multilevel consistency and part substitution","created":"2022-04-19","cited_by_count":8,"area":null},{"id":"2210.02834","title":"Robust Double-Encoder Network for RGB-D Panoptic Segmentation","created":"2022-10-06","cited_by_count":8,"area":null},{"id":"2304.13980","title":"A Review of Panoptic Segmentation for Mobile Mapping Point Clouds","created":"2023-04-27","cited_by_count":8,"area":null},{"id":"2311.00134","title":"Joint Depth Prediction and Semantic Segmentation with Multi-View SAM","created":"2023-10-31","cited_by_count":8,"area":null},{"id":"2203.15361","title":"Self-Supervised Image Representation Learning with Geometric Set Consistency","created":"2022-03-29","cited_by_count":7,"area":null},{"id":"2204.08797","title":"Two-Stream Graph Convolutional Network for Intra-oral Scanner Image Segmentation","created":"2022-04-19","cited_by_count":7,"area":null},{"id":"2212.13462","title":"MVTN: Learning Multi-View Transformations for 3D Understanding","created":"2022-12-27","cited_by_count":7,"area":null},{"id":"2302.03640","title":"SSR-2D: Semantic 3D Scene Reconstruction from 2D Images","created":"2023-02-07","cited_by_count":7,"area":null},{"id":"2203.09375","title":"Neural Part Priors: Learning to Optimize Part-Based Object Completion in RGB-D Scans","created":"2022-03-17","cited_by_count":6,"area":null},{"id":"2211.14091","title":"Language-Assisted 3D Feature Learning for Semantic Scene Understanding","created":"2022-11-25","cited_by_count":6,"area":null},{"id":"2304.07486","title":"Region-Enhanced Feature Learning for Scene Semantic Segmentation","created":"2023-04-15","cited_by_count":6,"area":null},{"id":"2308.09314","title":"Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation","created":"2023-08-18","cited_by_count":6,"area":null},{"id":"2209.07069","title":"Active Self-Training for Weakly Supervised 3D Scene Semantic Segmentation","created":"2022-09-15","cited_by_count":5,"area":null},{"id":"2506.09935","title":"LEO-VL: Efficient Scene Representation for Scalable 3D Vision-Language Learning","created":"2025-06-11","cited_by_count":5,"area":"mllm"},{"id":"2107.11267","title":"Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds","created":"2021-07-23","cited_by_count":4,"area":null},{"id":"2307.07938","title":"CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion","created":"2023-07-16","cited_by_count":4,"area":null},{"id":"2311.13152","title":"Test-Time Augmentation for 3D Point Cloud Classification and Segmentation","created":"2023-11-22","cited_by_count":4,"area":null},{"id":"2107.01579","title":"Similarity-Aware Fusion Network for 3D Semantic Segmentation","created":"2021-07-04","cited_by_count":3,"area":null},{"id":"2107.08392","title":"Dynamic Convolution for 3D Point Cloud Instance Segmentation","created":"2021-07-18","cited_by_count":3,"area":null},{"id":"2109.12221","title":"Ground material classification for UAV-based photogrammetric 3D data A 2D-3D Hybrid Approach","created":"2021-09-24","cited_by_count":3,"area":null},{"id":"2206.02366","title":"Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans","created":"2022-06-06","cited_by_count":3,"area":null},{"id":"2212.06682","title":"Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation","created":"2022-12-13","cited_by_count":3,"area":null},{"id":"2107.13824","title":"VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation","created":"2021-07-29","cited_by_count":2,"area":null},{"id":"2306.08073","title":"Dynamic Clustering Transformer Network for Point Cloud Segmentation","created":"2023-05-30","cited_by_count":2,"area":null},{"id":"2505.13088","title":"Cross-modal feature fusion for robust point cloud registration with ambiguous geometry","created":"2025-05-19","cited_by_count":2,"area":null},{"id":"2511.13047","title":"DiffPixelFormer: Differential Pixel-Aware Transformer for RGB-D Indoor Scene Segmentation","created":"2025-11-17","cited_by_count":2,"area":null},{"id":"2212.08334","title":"Lightweight integration of 3D features to improve 2D image segmentation","created":"2022-12-16","cited_by_count":1,"area":null},{"id":"2303.09248","title":"Cross-Dimensional Refined Learning for Real-Time 3D Visual Perception from Monocular Video","created":"2023-03-16","cited_by_count":1,"area":null},{"id":"2405.13989","title":"TS40K: a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission System","created":"2024-05-22","cited_by_count":1,"area":null},{"id":"2410.09747","title":"t-READi: Transformer-Powered Robust and Efficient Multimodal Inference for Autonomous Driving","created":"2024-10-13","cited_by_count":1,"area":null},{"id":"2411.13251","title":"BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation","created":"2024-11-20","cited_by_count":1,"area":null},{"id":"2502.13037","title":"Enhancing Power Grid Inspections with Machine Learning","created":"2025-02-18","cited_by_count":1,"area":null},{"id":"2505.09073","title":"2D-3D Attention and Entropy for Pose Robust 2D Facial Recognition","created":"2025-05-14","cited_by_count":1,"area":null},{"id":"2607.02018","title":"UnderOneFacade: Worldwide Facade Semantic Segmentation Benchmark Dataset","created":"2026-07-02","cited_by_count":1,"area":null},{"id":"2107.13167","title":"Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN (SRG-Net)","created":"2021-07-28","cited_by_count":0,"area":null},{"id":"2109.14821","title":"Semantic Dense Reconstruction with Consistent Scene Segments","created":"2021-09-30","cited_by_count":0,"area":null}],"next_cursor":"100"}