{"total":119,"rows":[{"id":"2103.12731","title":"Scaling Local Self-Attention for Parameter Efficient Visual Backbones","created":"2021-03-23","cited_by_count":220,"area":null},{"id":"2210.09263","title":"Vision-Language Pre-training: Basics, Recent Advances, and Future Trends","created":"2022-10-17","cited_by_count":117,"area":"mllm"},{"id":"2212.00259","title":"Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning","created":"2022-12-01","cited_by_count":92,"area":"lr"},{"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":"2106.00245","title":"Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models","created":"2021-06-01","cited_by_count":75,"area":null},{"id":"2201.00443","title":"Scene Graph Generation: A Comprehensive Survey","created":"2022-01-03","cited_by_count":73,"area":null},{"id":"2112.06197","title":"Video as Conditional Graph Hierarchy for Multi-Granular Question Answering","created":"2021-12-12","cited_by_count":68,"area":null},{"id":"2308.13853","title":"Beyond One-to-One: Rethinking the Referring Image Segmentation","created":"2023-08-26","cited_by_count":68,"area":null},{"id":"2209.13232","title":"A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective","created":"2022-09-27","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":"2404.02072","title":"EGTR: Extracting Graph from Transformer for Scene Graph Generation","created":"2024-04-02","cited_by_count":47,"area":null},{"id":"2311.01015","title":"Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs","created":"2023-11-02","cited_by_count":45,"area":"diffusion"},{"id":"2307.11986","title":"Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering","created":"2023-07-22","cited_by_count":41,"area":"mllm"},{"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":"2110.08515","title":"Multimodal Dialogue Response Generation","created":"2021-10-16","cited_by_count":32,"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":"2406.09410","title":"STAR: A First-Ever Dataset and A Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagery","created":"2024-06-13","cited_by_count":31,"area":null},{"id":"2202.09277","title":"(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering","created":"2022-02-18","cited_by_count":30,"area":null},{"id":"2408.09429","title":"Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models","created":"2024-08-18","cited_by_count":30,"area":"mllm"},{"id":"2202.09195","title":"A Review on Methods and Applications in Multimodal Deep Learning","created":"2022-02-18","cited_by_count":29,"area":null},{"id":"2105.11087","title":"Recent Advances and Trends in Multimodal Deep Learning: A Review","created":"2021-05-24","cited_by_count":26,"area":null},{"id":"2110.02526","title":"Coarse-to-Fine Reasoning for Visual Question Answering","created":"2021-10-06","cited_by_count":25,"area":null},{"id":"2209.10326","title":"Toward 3D Spatial Reasoning for Human-like Text-based Visual Question Answering","created":"2022-09-21","cited_by_count":25,"area":"lr"},{"id":"2307.11471","title":"Robust Visual Question Answering: Datasets, Methods, and Future Challenges","created":"2023-07-21","cited_by_count":23,"area":null},{"id":"2310.17594","title":"SPA: A Graph Spectral Alignment Perspective for Domain Adaptation","created":"2023-10-26","cited_by_count":22,"area":null},{"id":"2303.01903","title":"Prophet: Prompting Large Language Models with Complementary Answer Heuristics for Knowledge-based Visual Question Answering","created":"2023-03-03","cited_by_count":21,"area":null},{"id":"2208.08965","title":"GSRFormer: Grounded Situation Recognition Transformer with Alternate Semantic Attention Refinement","created":"2022-08-18","cited_by_count":20,"area":null},{"id":"2207.11850","title":"Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem","created":"2022-07-24","cited_by_count":18,"area":null},{"id":"2101.11552","title":"Efficient Graph Deep Learning in TensorFlow with tf_geometric","created":"2021-01-27","cited_by_count":17,"area":null},{"id":"2103.13361","title":"Structured Co-reference Graph Attention for Video-grounded Dialogue","created":"2021-03-24","cited_by_count":17,"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":"2302.09636","title":"Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning","created":"2023-02-19","cited_by_count":17,"area":null},{"id":"2103.14242","title":"Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation","created":"2021-03-26","cited_by_count":16,"area":null},{"id":"2104.10283","title":"GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual Question Answering","created":"2021-04-20","cited_by_count":16,"area":null},{"id":"2108.10568","title":"Auto-Parsing Network for Image Captioning and Visual Question Answering","created":"2021-08-24","cited_by_count":16,"area":null},{"id":"2110.06058","title":"Multi-Modal Interaction Graph Convolutional Network for Temporal Language Localization in Videos","created":"2021-10-12","cited_by_count":16,"area":null},{"id":"2304.08682","title":"Learning Situation Hyper-Graphs for Video Question Answering","created":"2023-04-18","cited_by_count":16,"area":null},{"id":"2310.17914","title":"3D-Aware Visual Question Answering about Parts, Poses and Occlusions","created":"2023-10-27","cited_by_count":16,"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":"2109.08475","title":"GoG: Relation-aware Graph-over-Graph Network for Visual Dialog","created":"2021-09-17","cited_by_count":13,"area":null},{"id":"2205.04188","title":"Joint learning of object graph and relation graph for visual question answering","created":"2022-05-09","cited_by_count":13,"area":null},{"id":"2405.12368","title":"Layout Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST)","created":"2024-05-20","cited_by_count":13,"area":null},{"id":"2503.04459","title":"Question-Aware Gaussian Experts for Audio-Visual Question Answering","created":"2025-03-06","cited_by_count":12,"area":"lr"},{"id":"2103.00820","title":"Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues","created":"2021-03-01","cited_by_count":11,"area":null},{"id":"2107.11576","title":"X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question Answering","created":"2021-07-24","cited_by_count":10,"area":null},{"id":"2109.06013","title":"Learning to Ground Visual Objects for Visual Dialog","created":"2021-09-13","cited_by_count":10,"area":null},{"id":"2112.00739","title":"Incomplete Multi-view Clustering via Cross-view Relation Transfer","created":"2021-12-01","cited_by_count":10,"area":null},{"id":"2112.11628","title":"SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks","created":"2021-12-22","cited_by_count":10,"area":null},{"id":"2303.03761","title":"Graph Neural Networks in Vision-Language Image Understanding: A Survey","created":"2023-03-07","cited_by_count":10,"area":null},{"id":"2303.13371","title":"Plug-and-Play Regulators for Image-Text Matching","created":"2023-03-23","cited_by_count":10,"area":null},{"id":"2407.05910","title":"Enhancing Vision-Language Models with Scene Graphs for Traffic Accident Understanding","created":"2024-07-08","cited_by_count":10,"area":null},{"id":"2507.19993","title":"FROSS: Faster-than-Real-Time Online 3D Semantic Scene Graph Generation from RGB-D Images","created":"2025-07-26","cited_by_count":10,"area":null},{"id":"2107.03824","title":"Instance-Level Relative Saliency Ranking with Graph Reasoning","created":"2021-07-08","cited_by_count":9,"area":null},{"id":"2111.07180","title":"Explainable Semantic Space by Grounding Language to Vision with Cross-Modal Contrastive Learning","created":"2021-11-13","cited_by_count":9,"area":null},{"id":"2412.16936","title":"Rationale-guided Prompting for Knowledge-based Visual Question Answering","created":"2024-12-22","cited_by_count":9,"area":null},{"id":"2108.00596","title":"GTNet:Guided Transformer Network for Detecting Human-Object Interactions","created":"2021-08-02","cited_by_count":8,"area":null},{"id":"2204.00879","title":"Co-VQA : Answering by Interactive Sub Question Sequence","created":"2022-04-02","cited_by_count":8,"area":null},{"id":"2307.03411","title":"Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs","created":"2023-07-07","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":"2210.09549","title":"Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation","created":"2022-10-18","cited_by_count":7,"area":"diffusion"},{"id":"2111.08531","title":"Language bias in Visual Question Answering: A Survey and Taxonomy","created":"2021-11-16","cited_by_count":6,"area":null},{"id":"2310.09147","title":"Exploring Sparse Spatial Relation in Graph Inference for Text-Based VQA","created":"2023-10-13","cited_by_count":6,"area":null},{"id":"2311.04192","title":"JaSPICE: Automatic Evaluation Metric Using Predicate-Argument Structures for Image Captioning Models","created":"2023-11-07","cited_by_count":6,"area":null},{"id":"2109.11778","title":"Dense Contrastive Visual-Linguistic Pretraining","created":"2021-09-24","cited_by_count":5,"area":null},{"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":"2207.10404","title":"Semantic-aware Modular Capsule Routing for Visual Question Answering","created":"2022-07-21","cited_by_count":5,"area":null},{"id":"2311.05298","title":"Improving Vision-and-Language Reasoning via Spatial Relations Modeling","created":"2023-11-09","cited_by_count":5,"area":"lr"},{"id":"2312.15844","title":"Learning-To-Rank Approach for Identifying Everyday Objects Using a Physical-World Search Engine","created":"2023-12-26","cited_by_count":5,"area":null},{"id":"2505.20666","title":"Continuous-Time Attention: PDE-Guided Mechanisms for Long-Sequence Transformers","created":"2025-05-27","cited_by_count":5,"area":null},{"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":"2111.14547","title":"LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering","created":"2021-11-29","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":"2204.04680","title":"Reasoning with Multi-Structure Commonsense Knowledge in Visual Dialog","created":"2022-04-10","cited_by_count":4,"area":null},{"id":"2207.04211","title":"BOSS: Bottom-up Cross-modal Semantic Composition with Hybrid Counterfactual Training for Robust Content-based Image Retrieval","created":"2022-07-09","cited_by_count":4,"area":null},{"id":"2310.16590","title":"$\\mathbb{VD}$-$\\mathbb{GR}$: Boosting $\\mathbb{V}$isual $\\mathbb{D}$ialog with Cascaded Spatial-Temporal Multi-Modal $\\mathbb{GR}$aphs","created":"2023-10-25","cited_by_count":4,"area":null},{"id":"2403.08182","title":"SeCG: Semantic-Enhanced 3D Visual Grounding via Cross-modal Graph Attention","created":"2024-03-13","cited_by_count":4,"area":null},{"id":"2509.03626","title":"Explainable Knowledge Graph Retrieval-Augmented Generation (KG-RAG) with KG-SMILE","created":"2025-09-03","cited_by_count":4,"area":"rag"},{"id":"2105.06160","title":"Relation-aware Hierarchical Attention Framework for Video Question Answering","created":"2021-05-13","cited_by_count":3,"area":null},{"id":"2106.13445","title":"A Picture May Be Worth a Hundred Words for Visual Question Answering","created":"2021-06-25","cited_by_count":3,"area":null},{"id":"2206.12533","title":"From Shallow to Deep: Compositional Reasoning over Graphs for Visual Question Answering","created":"2022-06-25","cited_by_count":3,"area":null},{"id":"2211.08086","title":"Visually Grounded VQA by Lattice-based Retrieval","created":"2022-11-15","cited_by_count":3,"area":null},{"id":"2307.14142","title":"LOIS: Looking Out of Instance Semantics for Visual Question Answering","created":"2023-07-26","cited_by_count":3,"area":null},{"id":"2312.16012","title":"Detection-based Intermediate Supervision for Visual Question Answering","created":"2023-12-26","cited_by_count":3,"area":"lr"},{"id":"2411.02452","title":"Goal-Oriented Semantic Communication for Wireless Visual Question Answering","created":"2024-11-03","cited_by_count":3,"area":null},{"id":"2412.18351","title":"Multi-Agents Based on Large Language Models for Knowledge-based Visual Question Answering","created":"2024-12-24","cited_by_count":3,"area":"agents"},{"id":"2207.00782","title":"Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review","created":"2022-07-02","cited_by_count":2,"area":null},{"id":"2207.01772","title":"Vision-and-Language Pretraining","created":"2022-07-05","cited_by_count":2,"area":null},{"id":"2207.12321","title":"RSG-Net: Towards Rich Sematic Relationship Prediction for Intelligent Vehicle in Complex Environments","created":"2022-07-16","cited_by_count":2,"area":null},{"id":"2306.17675","title":"Multimodal Prompt Retrieval for Generative Visual Question Answering","created":"2023-06-30","cited_by_count":2,"area":"mllm"},{"id":"2309.01955","title":"A Survey on Interpretable Cross-modal Reasoning","created":"2023-09-05","cited_by_count":2,"area":null},{"id":"2310.01842","title":"SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering","created":"2023-10-03","cited_by_count":2,"area":null},{"id":"2401.09442","title":"Object Attribute Matters in Visual Question Answering","created":"2023-12-20","cited_by_count":2,"area":"distill"},{"id":"2508.05182","title":"SPA++: Generalized Graph Spectral Alignment for Versatile Domain Adaptation","created":"2025-08-07","cited_by_count":2,"area":null},{"id":"2105.05320","title":"Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering","created":"2021-04-30","cited_by_count":1,"area":null},{"id":"2204.00975","title":"Question-Driven Graph Fusion Network For Visual Question Answering","created":"2022-04-03","cited_by_count":1,"area":null},{"id":"2204.09774","title":"Attention in Reasoning: Dataset, Analysis, and Modeling","created":"2022-04-20","cited_by_count":1,"area":"lr"},{"id":"2306.02252","title":"MoviePuzzle: Visual Narrative Reasoning through Multimodal Order Learning","created":"2023-06-04","cited_by_count":1,"area":null},{"id":"2308.06685","title":"Video Captioning with Aggregated Features Based on Dual Graphs and Gated Fusion","created":"2023-08-13","cited_by_count":1,"area":null},{"id":"2308.09455","title":"Artificial-Spiking Hierarchical Networks for Vision-Language Representation Learning","created":"2023-08-18","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}],"next_cursor":"100"}