{"total":19,"rows":[{"id":"2308.04352","title":"3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment","created":"2023-08-08","cited_by_count":204,"area":null},{"id":"2210.09729","title":"HUMANISE: Language-conditioned Human Motion Generation in 3D Scenes","created":"2022-10-18","cited_by_count":158,"area":null},{"id":"2112.05136","title":"PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning","created":"2021-12-09","cited_by_count":34,"area":null},{"id":"2212.06250","title":"ScanEnts3D: Exploiting Phrase-to-3D-Object Correspondences for Improved Visio-Linguistic Models in 3D Scenes","created":"2022-12-12","cited_by_count":32,"area":null},{"id":"2109.01135","title":"Sequence-to-Sequence Learning with Latent Neural Grammars","created":"2021-09-02","cited_by_count":30,"area":null},{"id":"2112.06390","title":"PartGlot: Learning Shape Part Segmentation from Language Reference Games","created":"2021-12-13","cited_by_count":30,"area":null},{"id":"2206.00100","title":"VALHALLA: Visual Hallucination for Machine Translation","created":"2022-05-31","cited_by_count":27,"area":null},{"id":"2406.08787","title":"A Survey on Compositional Learning of AI Models: Theoretical and Experimental Practices","created":"2024-06-13","cited_by_count":15,"area":null},{"id":"2107.01872","title":"Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching between Parts and Words","created":"2021-07-05","cited_by_count":14,"area":null},{"id":"2403.13289","title":"Text-to-3D Shape Generation","created":"2024-03-20","cited_by_count":13,"area":null},{"id":"2203.14260","title":"Unsupervised Vision-Language Parsing: Seamlessly Bridging Visual Scene Graphs with Language Structures via Dependency Relationships","created":"2022-03-27","cited_by_count":9,"area":null},{"id":"2312.04266","title":"Activity Grammars for Temporal Action Segmentation","created":"2023-12-07","cited_by_count":8,"area":null},{"id":"2212.09140","title":"Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars","created":"2022-12-18","cited_by_count":7,"area":null},{"id":"2407.09686","title":"SPIN: Hierarchical Segmentation with Subpart Granularity in Natural Images","created":"2024-07-12","cited_by_count":5,"area":null},{"id":"2205.02834","title":"Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction","created":"2022-05-05","cited_by_count":2,"area":null},{"id":"2305.16328","title":"Semantic Composition in Visually Grounded Language Models","created":"2023-05-15","cited_by_count":1,"area":null},{"id":"2310.14107","title":"On the Transferability of Visually Grounded PCFGs","created":"2023-10-21","cited_by_count":1,"area":null},{"id":"2410.03739","title":"Grammar Induction from Visual, Speech and Text","created":"2024-10-01","cited_by_count":0,"area":null},{"id":"2509.20734","title":"Probability Distribution Collapse: A Critical Bottleneck to Compact Unsupervised Neural Grammar Induction","created":"2025-09-25","cited_by_count":0,"area":null}],"next_cursor":null}