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Vision-Language Models

685 directly classified papers

Papers per year

Papers

Does Vision-and-Language Pretraining Improve Lexical Grounding? EMNLP 2021
NICE: Neural Image Commenting with Empathy EMNLP 2021
Investigating Negation in Pre-trained Vision-and-language Models EMNLP 2021
VisualSem: a high-quality knowledge graph for vision and language EMNLP 2021
Consensus Graph Representation Learning for Better Grounded Image Captioning AAAI 2021
Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder Network AAAI 2021
Recognizing Multimodal Entailment ACL 2021
Visually Grounded Follow-up Questions: a Dataset of Spatial Questions Which Require Dialogue History ACL 2021
MultiMET: A Multimodal Dataset for Metaphor Understanding ACL 2021
VinVL: Revisiting Visual Representations in Vision-Language Models CVPR 2021
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers EMNLP 2020
The Dialogue Dodecathlon: Open-Domain Knowledge and Image Grounded Conversational Agents ACL 2020
AI Sensing for Robotics using Deep Learning based Visual and Language Modeling ACL 2020
They Are Not All Alike: Answering Different Spatial Questions Requires Different Grounding Strategies EMNLP 2020
Large-Scale Adversarial Training for Vision-and-Language Representation Learning NIPS 2020
MULE: Multimodal Universal Language Embedding AAAI 2020
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training AAAI 2020
Fine-Grained Video-Text Retrieval With Hierarchical Graph Reasoning CVPR 2020
Learning User Representations for Open Vocabulary Image Hashtag Prediction CVPR 2020
12-in-1: Multi-Task Vision and Language Representation Learning CVPR 2020
Graph Structured Network for Image-Text Matching CVPR 2020
Image Search With Text Feedback by Visiolinguistic Attention Learning CVPR 2020
Faithful Multimodal Explanation for Visual Question Answering ACL 2019
Auto-Encoding Scene Graphs for Image Captioning CVPR 2019
Multi-Task Learning of Hierarchical Vision-Language Representation CVPR 2019