{"total":20,"rows":[{"id":"2211.15654","title":"OpenScene: 3D Scene Understanding with Open Vocabularies","created":"2022-11-28","cited_by_count":559,"area":null},{"id":"2211.11682","title":"PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning","created":"2022-11-21","cited_by_count":187,"area":null},{"id":"2301.04926","title":"CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP","created":"2023-01-12","cited_by_count":181,"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":"2112.12777","title":"Cross Modal Retrieval with Querybank Normalisation","created":"2021-12-23","cited_by_count":72,"area":null},{"id":"2303.12417","title":"CLIP$^2$: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data","created":"2023-03-22","cited_by_count":69,"area":null},{"id":"2108.06230","title":"Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds","created":"2021-08-13","cited_by_count":55,"area":null},{"id":"2104.04980","title":"Zero-Shot Learning on 3D Point Cloud Objects and Beyond","created":"2021-04-11","cited_by_count":38,"area":null},{"id":"2207.01987","title":"Open-Vocabulary 3D Detection via Image-level Class and Debiased Cross-modal Contrastive Learning","created":"2022-07-05","cited_by_count":23,"area":null},{"id":"2312.08876","title":"OpenSight: A Simple Open-Vocabulary Framework for LiDAR-Based Object Detection","created":"2023-12-12","cited_by_count":22,"area":null},{"id":"2307.10782","title":"See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data","created":"2023-07-20","cited_by_count":21,"area":null},{"id":"2111.14673","title":"3D Compositional Zero-shot Learning with DeCompositional Consensus","created":"2021-11-29","cited_by_count":16,"area":null},{"id":"2210.09923","title":"Zero-shot point cloud segmentation by transferring geometric primitives","created":"2022-10-18","cited_by_count":9,"area":null},{"id":"2312.07221","title":"Transferring CLIP's Knowledge into Zero-Shot Point Cloud Semantic Segmentation","created":"2023-12-12","cited_by_count":7,"area":null},{"id":"2312.07039","title":"Open-Pose 3D Zero-Shot Learning: Benchmark and Challenges","created":"2023-12-12","cited_by_count":4,"area":null},{"id":"2408.14601","title":"3D Point Cloud Network Pruning: When Some Weights Do not Matter","created":"2024-08-26","cited_by_count":3,"area":null},{"id":"2209.14690","title":"Prompt-guided Scene Generation for 3D Zero-Shot Learning","created":"2022-09-29","cited_by_count":2,"area":null},{"id":"2509.08280","title":"Generalized Zero-Shot Learning for Point Cloud Segmentation with Evidence-Based Dynamic Calibration","created":"2025-09-10","cited_by_count":2,"area":null},{"id":"2310.11657","title":"ChatGPT-guided Semantics for Zero-shot Learning","created":"2023-10-18","cited_by_count":1,"area":null},{"id":"2512.08253","title":"Query-aware Hub Prototype Learning for Few-Shot 3D Point Cloud Semantic Segmentation","created":"2025-12-09","cited_by_count":0,"area":null}],"next_cursor":null}