{"total":36,"rows":[{"id":"2203.00680","title":"CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding","created":"2022-03-01","cited_by_count":198,"area":null},{"id":"2309.00615","title":"Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following","created":"2023-09-01","cited_by_count":194,"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":"2304.14340","title":"SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection","created":"2023-04-27","cited_by_count":83,"area":null},{"id":"2309.00616","title":"OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation","created":"2023-09-01","cited_by_count":82,"area":null},{"id":"2303.16894","title":"ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding with GPT and Prototype Guidance","created":"2023-03-29","cited_by_count":70,"area":null},{"id":"2305.16404","title":"GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds","created":"2023-05-25","cited_by_count":34,"area":null},{"id":"2307.14971","title":"Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models","created":"2023-07-27","cited_by_count":25,"area":null},{"id":"2401.02416","title":"ODIN: A Single Model for 2D and 3D Segmentation","created":"2024-01-04","cited_by_count":25,"area":null},{"id":"2309.09456","title":"Object2Scene: Putting Objects in Context for Open-Vocabulary 3D Detection","created":"2023-09-18","cited_by_count":24,"area":null},{"id":"2404.07989","title":"Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding","created":"2024-04-11","cited_by_count":23,"area":null},{"id":"2308.11166","title":"Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation","created":"2023-08-22","cited_by_count":21,"area":null},{"id":"2312.14465","title":"FM-OV3D: Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D Detection","created":"2023-12-22","cited_by_count":19,"area":null},{"id":"2212.04098","title":"EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder","created":"2022-12-08","cited_by_count":18,"area":null},{"id":"2207.00826","title":"ImLoveNet: Misaligned Image-supported Registration Network for Low-overlap Point Cloud Pairs","created":"2022-07-02","cited_by_count":17,"area":null},{"id":"2304.08965","title":"PointDC:Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering","created":"2023-04-18","cited_by_count":15,"area":null},{"id":"2312.09738","title":"3DAxiesPrompts: Unleashing the 3D Spatial Task Capabilities of GPT-4V","created":"2023-12-15","cited_by_count":15,"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":"2308.09694","title":"Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition","created":"2023-08-18","cited_by_count":13,"area":null},{"id":"2202.09028","title":"On the Implicit Bias Towards Minimal Depth of Deep Neural Networks","created":"2022-02-18","cited_by_count":12,"area":null},{"id":"2303.13097","title":"CP$^3$: Channel Pruning Plug-in for Point-based Networks","created":"2023-03-23","cited_by_count":10,"area":null},{"id":"2401.14405","title":"Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities","created":"2024-01-25","cited_by_count":7,"area":null},{"id":"2310.03670","title":"Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised Learning","created":"2023-09-25","cited_by_count":6,"area":null},{"id":"2401.09057","title":"CrossVideo: Self-supervised Cross-modal Contrastive Learning for Point Cloud Video Understanding","created":"2024-01-17","cited_by_count":6,"area":null},{"id":"2511.18424","title":"CrossJEPA: Cross-Modal Joint-Embedding Predictive Architecture for Efficient 3D Representation Learning from 2D Images","created":"2025-11-23","cited_by_count":4,"area":null},{"id":"2306.02558","title":"Multi-View Representation is What You Need for Point-Cloud Pre-Training","created":"2023-06-05","cited_by_count":3,"area":null},{"id":"2307.15569","title":"Point Clouds Are Specialized Images: A Knowledge Transfer Approach for 3D Understanding","created":"2023-07-28","cited_by_count":3,"area":null},{"id":"2406.07837","title":"Scaling Manipulation Learning with Visual Kinematic Chain Prediction","created":"2024-06-12","cited_by_count":2,"area":null},{"id":"2410.09519","title":"Pic@Point: Cross-Modal Learning by Local and Global Point-Picture Correspondence","created":"2024-10-12","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":"2605.10239","title":"AdaptSplat: Adapting Vision Foundation Models for Feed-Forward 3D Gaussian Splatting","created":"2026-05-11","cited_by_count":1,"area":null},{"id":"2401.04575","title":"Let's Go Shopping (LGS) -- Web-Scale Image-Text Dataset for Visual Concept Understanding","created":"2024-01-09","cited_by_count":0,"area":null},{"id":"2405.04121","title":"ELiTe: Efficient Image-to-LiDAR Knowledge Transfer for Semantic Segmentation","created":"2024-05-07","cited_by_count":0,"area":null},{"id":"2407.18534","title":"Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers","created":"2024-07-26","cited_by_count":0,"area":null},{"id":"2507.17533","title":"Multi-modal Multi-task Pre-training for Improved Point Cloud Understanding","created":"2025-07-23","cited_by_count":0,"area":null},{"id":"2604.03334","title":"Bridging the Dimensionality Gap: A Taxonomy and Survey of 2D Vision Model Adaptation for 3D Analysis","created":"2026-04-03","cited_by_count":0,"area":null}],"next_cursor":null}