{"total":52,"rows":[{"id":"2103.01128","title":"InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring","created":"2021-03-01","cited_by_count":141,"area":null},{"id":"2305.08196","title":"A Comprehensive Survey on Segment Anything Model for Vision and Beyond","created":"2023-05-14","cited_by_count":64,"area":null},{"id":"2101.09983","title":"Adversarial Text-to-Image Synthesis: A Review","created":"2021-01-25","cited_by_count":52,"area":null},{"id":"2204.07356","title":"Vision-and-Language Pretrained Models: A Survey","created":"2022-04-15","cited_by_count":50,"area":null},{"id":"2105.07878","title":"A Review on Explainability in Multimodal Deep Neural Nets","created":"2021-05-17","cited_by_count":46,"area":null},{"id":"2108.01682","title":"Exploiting BERT For Multimodal Target Sentiment Classification Through Input Space Translation","created":"2021-08-03","cited_by_count":41,"area":null},{"id":"2106.06683","title":"Assessing Multilingual Fairness in Pre-trained Multimodal Representations","created":"2021-06-12","cited_by_count":35,"area":null},{"id":"2106.13948","title":"Core Challenges in Embodied Vision-Language Planning","created":"2021-06-26","cited_by_count":30,"area":null},{"id":"2108.07154","title":"MMChat: Multi-Modal Chat Dataset on Social Media","created":"2021-08-16","cited_by_count":30,"area":null},{"id":"2112.06343","title":"Change Detection Meets Visual Question Answering","created":"2021-12-12","cited_by_count":29,"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":"2203.01922","title":"Vision-Language Intelligence: Tasks, Representation Learning, and Large Models","created":"2022-03-03","cited_by_count":28,"area":null},{"id":"2404.00225","title":"Heterogeneous Contrastive Learning for Foundation Models and Beyond","created":"2024-03-30","cited_by_count":27,"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":"2311.07022","title":"ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models","created":"2023-11-13","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":"2404.03242","title":"Would Deep Generative Models Amplify Bias in Future Models?","created":"2024-04-04","cited_by_count":24,"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":"2107.03178","title":"Levels of explainable artificial intelligence for human-aligned conversational explanations","created":"2021-07-07","cited_by_count":21,"area":null},{"id":"2204.07370","title":"2D Human Pose Estimation: A Survey","created":"2022-04-15","cited_by_count":21,"area":null},{"id":"2312.12872","title":"Integration and Performance Analysis of Artificial Intelligence and Computer Vision Based on Deep Learning Algorithms","created":"2023-12-20","cited_by_count":19,"area":null},{"id":"2108.00205","title":"Word2Pix: Word to Pixel Cross Attention Transformer in Visual Grounding","created":"2021-07-31","cited_by_count":16,"area":null},{"id":"2207.01821","title":"Toward Explainable and Fine-Grained 3D Grounding through Referring Textual Phrases","created":"2022-07-05","cited_by_count":16,"area":null},{"id":"2112.11739","title":"A Survey of Natural Language Generation","created":"2021-12-22","cited_by_count":13,"area":null},{"id":"2211.12328","title":"A survey on knowledge-enhanced multimodal learning","created":"2022-11-19","cited_by_count":11,"area":null},{"id":"2305.09758","title":"A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero Shot","created":"2023-05-16","cited_by_count":11,"area":null},{"id":"2103.00852","title":"CrossMap Transformer: A Crossmodal Masked Path Transformer Using Double Back-Translation for Vision-and-Language Navigation","created":"2021-03-01","cited_by_count":8,"area":null},{"id":"2505.16630","title":"SoccerChat: Integrating Multimodal Data for Enhanced Soccer Game Understanding","created":"2025-05-22","cited_by_count":8,"area":null},{"id":"2105.04780","title":"Cross-Modal Generative Augmentation for Visual Question Answering","created":"2021-05-11","cited_by_count":7,"area":null},{"id":"2107.00811","title":"Target-dependent UNITER: A Transformer-Based Multimodal Language Comprehension Model for Domestic Service Robots","created":"2021-07-02","cited_by_count":7,"area":null},{"id":"2307.14119","title":"A semantics-driven methodology for high-quality image annotation","created":"2023-07-26","cited_by_count":6,"area":null},{"id":"2405.12669","title":"A Survey on Multi-modal Machine Translation: Tasks, Methods and Challenges","created":"2024-05-21","cited_by_count":6,"area":null},{"id":"2307.07166","title":"Switching Head-Tail Funnel UNITER for Dual Referring Expression Comprehension with Fetch-and-Carry Tasks","created":"2023-07-14","cited_by_count":5,"area":null},{"id":"2107.00789","title":"Case Relation Transformer: A Crossmodal Language Generation Model for Fetching Instructions","created":"2021-07-02","cited_by_count":4,"area":null},{"id":"2208.10758","title":"Learning More May Not Be Better: Knowledge Transferability in Vision and Language Tasks","created":"2022-08-23","cited_by_count":3,"area":null},{"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":"2209.00302","title":"Progressive Fusion for Multimodal Integration","created":"2022-09-01","cited_by_count":2,"area":null},{"id":"2209.14667","title":"Domain-aware Self-supervised Pre-training for Label-Efficient Meme Analysis","created":"2022-09-29","cited_by_count":2,"area":null},{"id":"2303.02411","title":"The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges","created":"2023-03-04","cited_by_count":2,"area":null},{"id":"2102.00997","title":"Inferring spatial relations from textual descriptions of images","created":"2021-02-01","cited_by_count":1,"area":null},{"id":"2208.02402","title":"Fusing Sentence Embeddings Into LSTM-based Autoregressive Language Models","created":"2022-08-04","cited_by_count":1,"area":null},{"id":"2307.05942","title":"Prototypical Contrastive Transfer Learning for Multimodal Language Understanding","created":"2023-07-12","cited_by_count":1,"area":null},{"id":"2406.17047","title":"Enhancing Scientific Figure Captioning Through Cross-modal Learning","created":"2024-06-24","cited_by_count":1,"area":null},{"id":"2410.04609","title":"VISTA: A Visual and Textual Attention Dataset for Interpreting Multimodal Models","created":"2024-10-06","cited_by_count":1,"area":null},{"id":"2410.15312","title":"Synergistic Dual Spatial-aware Generation of Image-to-Text and Text-to-Image","created":"2024-10-20","cited_by_count":1,"area":null},{"id":"2101.08655","title":"Q4EDA: A Novel Strategy for Textual Information Retrieval Based on User Interactions with Visual Representations of Time Series","created":"2021-01-19","cited_by_count":0,"area":null},{"id":"2106.12479","title":"Classifying Textual Data with Pre-trained Vision Models through Transfer Learning and Data Transformations","created":"2021-06-23","cited_by_count":0,"area":null},{"id":"2303.02601","title":"Knowledge-Based Counterfactual Queries for Visual Question Answering","created":"2023-03-05","cited_by_count":0,"area":null},{"id":"2304.02738","title":"Core Challenges in Embodied Vision-Language Planning","created":"2023-04-05","cited_by_count":0,"area":null},{"id":"2409.08562","title":"CSS: Overcoming Pose and Scene Challenges in Crowd-Sourced 3D Gaussian Splatting","created":"2024-09-13","cited_by_count":0,"area":null},{"id":"2409.15744","title":"ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features","created":"2024-09-24","cited_by_count":0,"area":null},{"id":"2509.18177","title":"A Framework for Generating Artificial Datasets to Validate Absolute and Relative Position Concepts","created":"2025-09-17","cited_by_count":0,"area":null}],"next_cursor":null}