← Core AI
Artificial Intelligence › Core AI ›

Multi-Modal Learning

1457 directly classified papers

Papers per year

Papers

Semi-Supervised Learning for Video Captioning EMNLP 2020
Learning Interactions and Relationships Between Movie Characters CVPR 2020
Two Causal Principles for Improving Visual Dialog CVPR 2020
Vision-Dialog Navigation by Exploring Cross-Modal Memory CVPR 2020
Telling Left From Right: Learning Spatial Correspondence of Sight and Sound CVPR 2020
Few-Shot Video Classification via Temporal Alignment CVPR 2020
REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments CVPR 2020
Iterative Context-Aware Graph Inference for Visual Dialog CVPR 2020
Visual-Semantic Matching by Exploring High-Order Attention and Distraction CVPR 2020
Hierarchical Conditional Relation Networks for Video Question Answering CVPR 2020
Multi-Modality Cross Attention Network for Image and Sentence Matching CVPR 2020
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation CVPR 2020
Normalized and Geometry-Aware Self-Attention Network for Image Captioning CVPR 2020
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning CVPR 2020
Language and Visual Entity Relationship Graph for Agent Navigation NIPS 2020
Self-Supervised Learning by Cross-Modal Audio-Video Clustering NIPS 2020
SIRI: Spatial Relation Induced Network For Spatial Description Resolution NIPS 2020
DAVD-Net: Deep Audio-Aided Video Decompression of Talking Heads CVPR 2020
PnPNet: End-to-End Perception and Prediction With Tracking in the Loop CVPR 2020
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training CVPR 2020
Active Speakers in Context CVPR 2020
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data EMNLP 2020
Efficient Context and Schema Fusion Networks for Multi-Domain Dialogue State Tracking EMNLP 2020
Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation EMNLP 2020
Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation EMNLP 2020