{"total":23,"rows":[{"id":"2308.11485","title":"Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features","created":"2023-08-22","cited_by_count":52,"area":null},{"id":"2204.11212","title":"Progressive Learning for Image Retrieval with Hybrid-Modality Queries","created":"2022-04-24","cited_by_count":26,"area":null},{"id":"2503.19296","title":"Fine-grained Textual Inversion Network for Zero-Shot Composed Image Retrieval","created":"2025-03-25","cited_by_count":18,"area":null},{"id":"2502.18495","title":"A Comprehensive Survey on Composed Image Retrieval","created":"2025-02-19","cited_by_count":17,"area":null},{"id":"2308.10170","title":"FashionNTM: Multi-turn Fashion Image Retrieval via Cascaded Memory","created":"2023-08-20","cited_by_count":11,"area":null},{"id":"2507.14902","title":"U-MARVEL: Unveiling Key Factors for Universal Multimodal Retrieval via Embedding Learning with MLLMs","created":"2025-07-20","cited_by_count":10,"area":null},{"id":"2402.07742","title":"Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search","created":"2024-02-12","cited_by_count":8,"area":null},{"id":"2210.15028","title":"FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning","created":"2022-10-26","cited_by_count":7,"area":null},{"id":"2204.03111","title":"UIGR: Unified Interactive Garment Retrieval","created":"2022-04-06","cited_by_count":6,"area":null},{"id":"2410.18715","title":"ChatSearch: a Dataset and a Generative Retrieval Model for General Conversational Image Retrieval","created":"2024-10-24","cited_by_count":6,"area":null},{"id":"2204.11004","title":"Training and challenging models for text-guided fashion image retrieval","created":"2022-04-23","cited_by_count":5,"area":null},{"id":"2305.01788","title":"Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information","created":"2023-05-02","cited_by_count":5,"area":null},{"id":"2409.05405","title":"A Survey of Multimodal Composite Editing and Retrieval","created":"2024-09-09","cited_by_count":5,"area":null},{"id":"2501.15379","title":"Diffusion Augmented Retrieval: A Training-Free Approach to Interactive Text-to-Image Retrieval","created":"2025-01-26","cited_by_count":5,"area":null},{"id":"2504.06356","title":"Query Understanding in LLM-based Conversational Information Seeking","created":"2025-04-08","cited_by_count":5,"area":null},{"id":"2306.02928","title":"LRVS-Fashion: Extending Visual Search with Referring Instructions","created":"2023-06-05","cited_by_count":4,"area":null},{"id":"2111.07815","title":"Sentiment Analysis of Fashion Related Posts in Social Media","created":"2021-11-15","cited_by_count":2,"area":null},{"id":"2503.01334","title":"Composed Multi-modal Retrieval: A Survey of Approaches and Applications","created":"2025-03-03","cited_by_count":2,"area":null},{"id":"2603.26669","title":"ReCQR: Incorporating conversational query rewriting to improve Multimodal Image Retrieval","created":"2026-01-19","cited_by_count":2,"area":null},{"id":"2309.16270","title":"Social Media Fashion Knowledge Extraction as Captioning","created":"2023-09-28","cited_by_count":1,"area":null},{"id":"2409.16025","title":"Unlocking Markets: A Multilingual Benchmark to Cross-Market Question Answering","created":"2024-09-24","cited_by_count":0,"area":null},{"id":"2605.26734","title":"CIRCLED: A Multi-turn CIR Dataset with Consistent Dialogues across Domains","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2607.20291","title":"Diverse-Intent Multi-Turn Fashion Image Retrieval","created":"2026-07-22","cited_by_count":0,"area":null}],"next_cursor":null}