{"total":38,"rows":[{"id":"2108.04024","title":"Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models","created":"2021-08-09","cited_by_count":251,"area":null},{"id":"2203.08101","title":"ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity","created":"2022-03-15","cited_by_count":83,"area":null},{"id":"2104.14085","title":"Bridge to Answer: Structure-aware Graph Interaction Network for Video Question Answering","created":"2021-04-29","cited_by_count":56,"area":null},{"id":"2103.16775","title":"Attention, please! A survey of Neural Attention Models in Deep Learning","created":"2021-03-31","cited_by_count":51,"area":null},{"id":"2211.07394","title":"Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization","created":"2022-11-14","cited_by_count":45,"area":null},{"id":"2303.16604","title":"Bi-directional Training for Composed Image Retrieval via Text Prompt Learning","created":"2023-03-29","cited_by_count":43,"area":null},{"id":"2305.16304","title":"Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder","created":"2023-05-25","cited_by_count":35,"area":null},{"id":"2204.05845","title":"Probabilistic Compositional Embeddings for Multimodal Image Retrieval","created":"2022-04-12","cited_by_count":29,"area":null},{"id":"2203.01922","title":"Vision-Language Intelligence: Tasks, Representation Learning, and Large Models","created":"2022-03-03","cited_by_count":28,"area":null},{"id":"2104.03015","title":"RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network","created":"2021-04-07","cited_by_count":27,"area":null},{"id":"2302.10909","title":"Multi-modal Machine Learning in Engineering Design: A Review and Future Directions","created":"2023-02-14","cited_by_count":27,"area":null},{"id":"2109.05199","title":"A Survey on Multi-modal Summarization","created":"2021-09-11","cited_by_count":26,"area":null},{"id":"2311.00308","title":"From Image to Language: A Critical Analysis of Visual Question Answering (VQA) Approaches, Challenges, and Opportunities","created":"2023-11-01","cited_by_count":25,"area":null},{"id":"2112.11691","title":"Comprehensive Visual Question Answering on Point Clouds through Compositional Scene Manipulation","created":"2021-12-22","cited_by_count":17,"area":null},{"id":"2109.13116","title":"VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering","created":"2021-09-27","cited_by_count":16,"area":null},{"id":"2107.01671","title":"Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory","created":"2021-07-04","cited_by_count":14,"area":null},{"id":"2306.02092","title":"Collaborative Group: Composed Image Retrieval via Consensus Learning from Noisy Annotations","created":"2023-06-03","cited_by_count":14,"area":null},{"id":"2108.02924","title":"Interpretable Visual Understanding with Cognitive Attention Network","created":"2021-08-06","cited_by_count":12,"area":null},{"id":"2404.15790","title":"Leveraging Large Language Models for Multimodal Search","created":"2024-04-24","cited_by_count":11,"area":null},{"id":"2504.13112","title":"Hadamard product in deep learning: Introduction, Advances and Challenges","created":"2025-04-17","cited_by_count":9,"area":null},{"id":"2404.18397","title":"ViOCRVQA: Novel Benchmark Dataset and Vision Reader for Visual Question Answering by Understanding Vietnamese Text in Images","created":"2024-04-29","cited_by_count":8,"area":null},{"id":"2411.11150","title":"A Comprehensive Survey on Visual Question Answering Datasets and Algorithms","created":"2024-11-17","cited_by_count":8,"area":null},{"id":"2203.03809","title":"Image Search with Text Feedback by Additive Attention Compositional Learning","created":"2022-03-08","cited_by_count":7,"area":null},{"id":"2304.07747","title":"Language Guided Local Infiltration for Interactive Image Retrieval","created":"2023-04-16","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":"2308.08131","title":"Ranking-aware Uncertainty for Text-guided Image Retrieval","created":"2023-08-16","cited_by_count":5,"area":null},{"id":"2102.08871","title":"I Want This Product but Different : Multimodal Retrieval with Synthetic Query Expansion","created":"2021-02-17","cited_by_count":4,"area":null},{"id":"2207.03317","title":"Multimodal Feature Extraction for Memes Sentiment Classification","created":"2022-07-07","cited_by_count":3,"area":null},{"id":"2405.15451","title":"Self-distilled Dynamic Fusion Network for Language-based Fashion Retrieval","created":"2024-05-24","cited_by_count":3,"area":null},{"id":"2507.17594","title":"RemixFusion: Residual-based Mixed Representation for Large-scale Online RGB-D Reconstruction","created":"2025-07-23","cited_by_count":2,"area":null},{"id":"2512.22102","title":"Explainable Multimodal Regression via Information Decomposition","created":"2025-12-26","cited_by_count":2,"area":null},{"id":"2302.09318","title":"Effective Multimodal Reinforcement Learning with Modality Alignment and Importance Enhancement","created":"2023-02-18","cited_by_count":1,"area":null},{"id":"2308.16649","title":"Learning with Multi-modal Gradient Attention for Explainable Composed Image Retrieval","created":"2023-08-31","cited_by_count":1,"area":null},{"id":"2406.15050","title":"Tri-VQA: Triangular Reasoning Medical Visual Question Answering for Multi-Attribute Analysis","created":"2024-06-21","cited_by_count":1,"area":null},{"id":"2503.00619","title":"PinLanding: Content-First Keyword Landing Page Generation via Multi-Modal AI for Web-Scale Discovery","created":"2025-03-01","cited_by_count":1,"area":null},{"id":"2601.08868","title":"Residual Cross-Modal Fusion Networks for Audio-Visual Navigation","created":"2026-01-11","cited_by_count":1,"area":null},{"id":"2112.02839","title":"MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering","created":"2021-12-06","cited_by_count":0,"area":null},{"id":"2605.24634","title":"Resolving Ambiguity in Composed Image Retrieval via Calibrated Interaction","created":"2026-05-23","cited_by_count":0,"area":null}],"next_cursor":null}