← Core AI
Computer Vision › Core AI ›

Multimodal Learning

1257 directly classified papers

Papers per year

Papers

PointPainting: Sequential Fusion for 3D Object Detection CVPR 2020
Context-Aware Attention Network for Image-Text Retrieval CVPR 2020
STAViS: Spatio-Temporal AudioVisual Saliency Network CVPR 2020
ActBERT: Learning Global-Local Video-Text Representations CVPR 2020
G3AN: Disentangling Appearance and Motion for Video Generation CVPR 2020
Counterfactual Samples Synthesizing for Robust Visual Question Answering CVPR 2020
Local-Global Video-Text Interactions for Temporal Grounding CVPR 2020
Music Gesture for Visual Sound Separation CVPR 2020
Video Object Grounding Using Semantic Roles in Language Description CVPR 2020
MMTM: Multimodal Transfer Module for CNN Fusion CVPR 2020
VQA With No Questions-Answers Training CVPR 2020
MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model CVPR 2020
Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather CVPR 2020
Telling Left From Right: Learning Spatial Correspondence of Sight and Sound CVPR 2020
Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text CVPR 2020
Iterative Context-Aware Graph Inference for Visual Dialog CVPR 2020
Visual-Semantic Matching by Exploring High-Order Attention and Distraction CVPR 2020
Multi-Modality Cross Attention Network for Image and Sentence Matching CVPR 2020
PhraseCut: Language-Based Image Segmentation in the Wild CVPR 2020
Investigating the Lombard Effect Influence on End-to-End Audio-Visual Speech Recognition INTERSPEECH 2019
Modeling Conceptual Understanding in Image Reference Games NIPS 2019
2.5D Visual Sound CVPR 2019
Embodied Question Answering in Photorealistic Environments With Point Cloud Perception CVPR 2019
Listen to the Image CVPR 2019
Towards VQA Models That Can Read CVPR 2019