{"total":58,"rows":[{"id":"2311.03079","title":"CogVLM: Visual Expert for Pretrained Language Models","created":"2023-11-06","cited_by_count":708,"area":null},{"id":"2101.05307","title":"Explainability of deep vision-based autonomous driving systems: Review and challenges","created":"2021-01-13","cited_by_count":80,"area":null},{"id":"2103.12248","title":"Multi-Modal Answer Validation for Knowledge-Based VQA","created":"2021-03-23","cited_by_count":79,"area":null},{"id":"2205.08148","title":"Gender and Racial Bias in Visual Question Answering Datasets","created":"2022-05-17","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":"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":"2107.12651","title":"Greedy Gradient Ensemble for Robust Visual Question Answering","created":"2021-07-27","cited_by_count":34,"area":null},{"id":"2303.11403","title":"eP-ALM: Efficient Perceptual Augmentation of Language Models","created":"2023-03-20","cited_by_count":34,"area":null},{"id":"2103.06132","title":"MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks","created":"2021-03-10","cited_by_count":32,"area":null},{"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":"2303.10816","title":"IMF: Interactive Multimodal Fusion Model for Link Prediction","created":"2023-03-20","cited_by_count":28,"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":"2111.01026","title":"Introspective Distillation for Robust Question Answering","created":"2021-11-01","cited_by_count":25,"area":null},{"id":"2307.11471","title":"Robust Visual Question Answering: Datasets, Methods, and Future Challenges","created":"2023-07-21","cited_by_count":23,"area":null},{"id":"2110.01013","title":"Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering","created":"2021-10-03","cited_by_count":22,"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":"2105.14300","title":"LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering","created":"2021-05-29","cited_by_count":17,"area":null},{"id":"2112.05375","title":"Rethinking the Two-Stage Framework for Grounded Situation Recognition","created":"2021-12-10","cited_by_count":16,"area":null},{"id":"2107.06325","title":"Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering","created":"2021-07-13","cited_by_count":13,"area":null},{"id":"2202.09715","title":"ARM3D: Attention-based relation module for indoor 3D object detection","created":"2022-02-20","cited_by_count":11,"area":null},{"id":"2412.18277","title":"Towards Modality Generalization: A Benchmark and Prospective Analysis","created":"2024-12-24","cited_by_count":10,"area":null},{"id":"2102.01916","title":"Answer Questions with Right Image Regions: A Visual Attention Regularization Approach","created":"2021-02-03","cited_by_count":9,"area":null},{"id":"2104.03435","title":"Multimodal Fusion Refiner Networks","created":"2021-04-08","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":"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":"2111.08531","title":"Language bias in Visual Question Answering: A Survey and Taxonomy","created":"2021-11-16","cited_by_count":6,"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":"2304.00719","title":"Multi-Modal Representation Learning with Text-Driven Soft Masks","created":"2023-04-03","cited_by_count":5,"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":"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":"2307.14142","title":"LOIS: Looking Out of Instance Semantics for Visual Question Answering","created":"2023-07-26","cited_by_count":3,"area":null},{"id":"2308.03767","title":"Enhancing image captioning with depth information using a Transformer-based framework","created":"2023-07-24","cited_by_count":3,"area":null},{"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":"2201.10656","title":"MGA-VQA: Multi-Granularity Alignment for Visual Question Answering","created":"2022-01-25","cited_by_count":2,"area":null},{"id":"2212.08283","title":"SceneGATE: Scene-Graph based co-Attention networks for TExt visual question answering","created":"2022-12-16","cited_by_count":2,"area":null},{"id":"2305.03971","title":"Adaptive loose optimization for robust question answering","created":"2023-05-06","cited_by_count":2,"area":null},{"id":"2309.01955","title":"A Survey on Interpretable Cross-modal Reasoning","created":"2023-09-05","cited_by_count":2,"area":null},{"id":"2102.00424","title":"An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games","created":"2021-01-31","cited_by_count":1,"area":null},{"id":"2102.13360","title":"A Universal Model for Cross Modality Mapping by Relational Reasoning","created":"2021-02-26","cited_by_count":1,"area":null},{"id":"2202.09721","title":"3DRM:Pair-wise relation module for 3D object detection","created":"2022-02-20","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":"2305.19664","title":"Unveiling Cross Modality Bias in Visual Question Answering: A Causal View with Possible Worlds VQA","created":"2023-05-31","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":"2505.15192","title":"Leveraging Foundation Models for Multimodal Graph-Based Action Recognition","created":"2025-05-21","cited_by_count":1,"area":null},{"id":"2509.20871","title":"SCRA-VQA: Summarized Caption-Rerank for Augmented Large Language Models in Visual Question Answering","created":"2025-09-25","cited_by_count":1,"area":null},{"id":"2108.12585","title":"On the Significance of Question Encoder Sequence Model in the Out-of-Distribution Performance in Visual Question Answering","created":"2021-08-28","cited_by_count":0,"area":null},{"id":"2110.02404","title":"3D-MOV: Audio-Visual LSTM Autoencoder for 3D Reconstruction of Multiple Objects from Video","created":"2021-10-05","cited_by_count":0,"area":null},{"id":"2201.10654","title":"SA-VQA: Structured Alignment of Visual and Semantic Representations for Visual Question Answering","created":"2022-01-25","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":"2309.16747","title":"Harnessing Diverse Data for Global Disaster Prediction: A Multimodal Framework","created":"2023-09-28","cited_by_count":0,"area":null},{"id":"2310.02528","title":"On the Cognition of Visual Question Answering Models and Human Intelligence: A Comparative Study","created":"2023-10-04","cited_by_count":0,"area":null},{"id":"2505.19354","title":"GC-KBVQA: A New Four-Stage Framework for Enhancing Knowledge Based Visual Question Answering Performance","created":"2025-05-25","cited_by_count":0,"area":null},{"id":"2607.22709","title":"RMS@CC-MMD 2026: Multimodal Misogyny Detection via Geometric Interaction and Multi-View Consensus","created":"2026-07-20","cited_by_count":0,"area":null}],"next_cursor":null}