{"total":79,"rows":[{"id":"2210.03809","title":"Retrieval Augmented Visual Question Answering with Outside Knowledge","created":"2022-10-07","cited_by_count":94,"area":"rag"},{"id":"2111.10056","title":"Medical Visual Question Answering: A Survey","created":"2021-11-19","cited_by_count":93,"area":null},{"id":"2108.02388","title":"TransRefer3D: Entity-and-Relation Aware Transformer for Fine-Grained 3D Visual Grounding","created":"2021-08-05","cited_by_count":86,"area":null},{"id":"2407.07403","title":"A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends","created":"2024-07-10","cited_by_count":84,"area":"mllm"},{"id":"2411.17558","title":"Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey","created":"2024-11-26","cited_by_count":76,"area":"mllm"},{"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":"2309.17133","title":"Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering","created":"2023-09-29","cited_by_count":51,"area":"rag"},{"id":"2304.09974","title":"SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in Surgery","created":"2023-04-19","cited_by_count":48,"area":null},{"id":"2102.05281","title":"Biomedical Question Answering: A Survey of Approaches and Challenges","created":"2021-02-10","cited_by_count":46,"area":null},{"id":"2112.08359","title":"3D Question Answering","created":"2021-12-15","cited_by_count":41,"area":null},{"id":"2205.03147","title":"From Easy to Hard: Learning Language-guided Curriculum for Visual Question Answering on Remote Sensing Data","created":"2022-05-06","cited_by_count":39,"area":null},{"id":"2208.02194","title":"Interpretable bilinear attention network with domain adaptation improves drug-target prediction","created":"2022-08-03","cited_by_count":39,"area":null},{"id":"2204.02285","title":"SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering","created":"2022-04-05","cited_by_count":38,"area":null},{"id":"2112.07668","title":"Dual-Key Multimodal Backdoors for Visual Question Answering","created":"2021-12-14","cited_by_count":37,"area":"safety"},{"id":"2501.11347","title":"EndoChat: Grounded Multimodal Large Language Model for Endoscopic Surgery","created":"2025-01-20","cited_by_count":37,"area":"mllm"},{"id":"2203.09138","title":"MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering","created":"2022-03-17","cited_by_count":36,"area":null},{"id":"2107.04768","title":"DualVGR: A Dual-Visual Graph Reasoning Unit for Video Question Answering","created":"2021-07-10","cited_by_count":35,"area":null},{"id":"2108.07073","title":"ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration","created":"2021-08-16","cited_by_count":31,"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":"2303.07502","title":"Meta-learning approaches for few-shot learning: A survey of recent advances","created":"2023-03-13","cited_by_count":25,"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":"2405.13949","title":"PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery","created":"2024-05-22","cited_by_count":23,"area":null},{"id":"2204.07780","title":"Towards Lightweight Transformer via Group-wise Transformation for Vision-and-Language Tasks","created":"2022-04-16","cited_by_count":21,"area":null},{"id":"2109.14333","title":"Distribution Knowledge Embedding for Graph Pooling","created":"2021-09-29","cited_by_count":19,"area":null},{"id":"2210.02081","title":"Locate before Answering: Answer Guided Question Localization for Video Question Answering","created":"2022-10-05","cited_by_count":19,"area":null},{"id":"2408.04958","title":"Surgical-VQLA++: Adversarial Contrastive Learning for Calibrated Robust Visual Question-Localized Answering in Robotic Surgery","created":"2024-08-09","cited_by_count":17,"area":null},{"id":"2504.14692","title":"OmniV-Med: Scaling Medical Vision-Language Model for Universal Visual Understanding","created":"2025-04-20","cited_by_count":17,"area":"mllm"},{"id":"2305.02519","title":"ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos","created":"2023-05-04","cited_by_count":15,"area":null},{"id":"2104.05965","title":"Dealing with Missing Modalities in the Visual Question Answer-Difference Prediction Task through Knowledge Distillation","created":"2021-04-13","cited_by_count":14,"area":"distill"},{"id":"2109.06122","title":"Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering","created":"2021-09-13","cited_by_count":14,"area":null},{"id":"2211.00849","title":"Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection","created":"2022-11-02","cited_by_count":14,"area":null},{"id":"2212.13296","title":"VQA and Visual Reasoning: An Overview of Recent Datasets, Methods and Challenges","created":"2022-12-26","cited_by_count":14,"area":"lr"},{"id":"2201.05299","title":"A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering","created":"2022-01-14","cited_by_count":13,"area":null},{"id":"2209.01416","title":"MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoning","created":"2022-09-03","cited_by_count":13,"area":"lr"},{"id":"2307.07362","title":"A scoping review on multimodal deep learning in biomedical images and texts","created":"2023-07-14","cited_by_count":13,"area":null},{"id":"2410.09750","title":"Surgical-LLaVA: Toward Surgical Scenario Understanding via Large Language and Vision Models","created":"2024-10-13","cited_by_count":13,"area":null},{"id":"2105.00421","title":"A survey on VQA_Datasets and Approaches","created":"2021-05-02","cited_by_count":11,"area":null},{"id":"2410.02182","title":"BadCM: Invisible Backdoor Attack Against Cross-Modal Learning","created":"2024-10-03","cited_by_count":9,"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":"2411.11150","title":"A Comprehensive Survey on Visual Question Answering Datasets and Algorithms","created":"2024-11-17","cited_by_count":8,"area":null},{"id":"2203.02985","title":"Dynamic Key-value Memory Enhanced Multi-step Graph Reasoning for Knowledge-based Visual Question Answering","created":"2022-03-06","cited_by_count":7,"area":null},{"id":"2206.13980","title":"Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection","created":"2022-06-14","cited_by_count":7,"area":null},{"id":"2108.02180","title":"Ordered Attention for Coherent Visual Storytelling","created":"2021-08-04","cited_by_count":6,"area":null},{"id":"2109.11848","title":"How to find a good image-text embedding for remote sensing visual question answering?","created":"2021-09-24","cited_by_count":6,"area":null},{"id":"2210.14966","title":"What's Different between Visual Question Answering for Machine \"Understanding\" Versus for Accessibility?","created":"2022-10-26","cited_by_count":6,"area":null},{"id":"2411.10937","title":"Memory-Augmented Multimodal LLMs for Surgical VQA via Self-Contained Inquiry","created":"2024-11-17","cited_by_count":6,"area":"mllm"},{"id":"2203.01322","title":"Recent, rapid advancement in visual question answering architecture: a review","created":"2022-03-02","cited_by_count":5,"area":null},{"id":"2210.00220","title":"A Dual-Attention Learning Network with Word and Sentence Embedding for Medical Visual Question Answering","created":"2022-10-01","cited_by_count":5,"area":null},{"id":"2306.06494","title":"Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New Benchmark","created":"2023-06-10","cited_by_count":5,"area":"mllm"},{"id":"2107.03216","title":"MuVAM: A Multi-View Attention-based Model for Medical Visual Question Answering","created":"2021-07-07","cited_by_count":4,"area":null},{"id":"2112.07270","title":"Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question Answering","created":"2021-12-14","cited_by_count":4,"area":null},{"id":"2302.05894","title":"Neural Architecture Search with Multimodal Fusion Methods for Diagnosing Dementia","created":"2023-02-12","cited_by_count":4,"area":null},{"id":"2302.11082","title":"BB-GCN: A Bi-modal Bridged Graph Convolutional Network for Multi-label Chest X-Ray Recognition","created":"2023-02-22","cited_by_count":4,"area":null},{"id":"2305.06923","title":"EAML: Ensemble Self-Attention-based Mutual Learning Network for Document Image Classification","created":"2023-05-11","cited_by_count":4,"area":null},{"id":"2401.13081","title":"Free Form Medical Visual Question Answering in Radiology","created":"2024-01-23","cited_by_count":4,"area":null},{"id":"2304.00436","title":"Instance-Level Trojan Attacks on Visual Question Answering via Adversarial Learning in Neuron Activation Space","created":"2023-04-02","cited_by_count":3,"area":null},{"id":"2403.10037","title":"Knowledge Condensation and Reasoning for Knowledge-based VQA","created":"2024-03-15","cited_by_count":3,"area":"lr"},{"id":"2406.00334","title":"Image Captioning via Dynamic Path Customization","created":"2024-06-01","cited_by_count":3,"area":null},{"id":"2406.06594","title":"Stock Movement Prediction with Multimodal Stable Fusion via Gated Cross-Attention Mechanism","created":"2024-06-06","cited_by_count":3,"area":null},{"id":"2503.01263","title":"Generalizable Prompt Learning of CLIP: A Brief Overview","created":"2025-03-03","cited_by_count":3,"area":"mllm"},{"id":"2101.08978","title":"Visual Question Answering based on Local-Scene-Aware Referring Expression Generation","created":"2021-01-22","cited_by_count":2,"area":null},{"id":"2105.05636","title":"VL-NMS: Breaking Proposal Bottlenecks in Two-Stage Visual-Language Matching","created":"2021-05-12","cited_by_count":2,"area":null},{"id":"2109.04422","title":"TxT: Crossmodal End-to-End Learning with Transformers","created":"2021-09-09","cited_by_count":2,"area":null},{"id":"2301.02983","title":"Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-shot Logical Reasoning over Text","created":"2023-01-08","cited_by_count":2,"area":"lr"},{"id":"2301.07526","title":"AutoFraudNet: A Multimodal Network to Detect Fraud in the Auto Insurance Industry","created":"2023-01-15","cited_by_count":2,"area":null},{"id":"2408.13499","title":"R2G: Reasoning to Ground in 3D Scenes","created":"2024-08-24","cited_by_count":2,"area":null},{"id":"2109.14137","title":"Geometry-Entangled Visual Semantic Transformer for Image Captioning","created":"2021-09-29","cited_by_count":1,"area":null},{"id":"2203.12814","title":"Bilaterally Slimmable Transformer for Elastic and Efficient Visual Question Answering","created":"2022-03-24","cited_by_count":1,"area":null},{"id":"2309.09179","title":"Syntax Tree Constrained Graph Network for Visual Question Answering","created":"2023-09-17","cited_by_count":1,"area":null},{"id":"2410.16662","title":"Visual Question Answering in Ophthalmology: A Progressive and Practical Perspective","created":"2024-10-22","cited_by_count":1,"area":null},{"id":"2411.06776","title":"Machine vision-aware quality metrics for compressed image and video assessment","created":"2024-11-11","cited_by_count":1,"area":null},{"id":"2502.20213","title":"Mixture of Experts for Recognizing Depression from Interview and Reading Tasks","created":"2025-02-27","cited_by_count":1,"area":"moe"},{"id":"2302.09208","title":"Bridge Damage Cause Estimation Using Multiple Images Based on Visual Question Answering","created":"2023-02-18","cited_by_count":0,"area":null},{"id":"2302.14777","title":"VQA with Cascade of Self- and Co-Attention Blocks","created":"2023-02-28","cited_by_count":0,"area":null},{"id":"2305.09782","title":"Analysis of Visual Question Answering Algorithms with attention model","created":"2023-05-04","cited_by_count":0,"area":null},{"id":"2410.12595","title":"CMAL: A Novel Cross-Modal Associative Learning Framework for Vision-Language Pre-Training","created":"2024-10-16","cited_by_count":0,"area":"mllm"},{"id":"2605.25540","title":"A Multimodal Framework for Dementia Detection via Linguistic and Acoustic Representation Learning","created":"2026-05-25","cited_by_count":0,"area":null},{"id":"2606.09271","title":"Multi-View Speech Representation Learning for Parkinson's Disease Detection Using Context-guided Cross-modal Attention","created":"2026-06-08","cited_by_count":0,"area":null}],"next_cursor":null}