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← Core AI
Artificial Intelligence
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Core AI
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Multimodal Learning
13,057 papers
Papers per year
2003: 1
2006: 3
2007: 6
2008: 2
2009: 5
2010: 2
2011: 3
2012: 6
2013: 24
2014: 20
2015: 46
2016: 109
2017: 205
2018: 299
2019: 622
2020: 675
2021: 987
2022: 1084
2023: 1697
2024: 2500
2025: 3654
2026: 1107
Papers
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training
AAAI 2020
Fast Learning of Temporal Action Proposal via Dense Boundary Generator
AAAI 2020
Weakly-Supervised Video Moment Retrieval via Semantic Completion Network
AAAI 2020
Federated Learning for Vision-and-Language Grounding Problems
AAAI 2020
Multi-Task Driven Feature Models for Thermal Infrared Tracking
AAAI 2020
Visual Dialogue State Tracking for Question Generation
AAAI 2020
Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA
AAAI 2020
An Efficient Framework for Dense Video Captioning
AAAI 2020
One-Shot Learning for Long-Tail Visual Relation Detection
AAAI 2020
Adaptive Cross-Modal Embeddings for Image-Text Alignment
AAAI 2020
Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume
AAAI 2020
Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language
AAAI 2020
Find Objects and Focus on Highlights: Mining Object Semantics for Video Highlight Detection via Graph Neural Networks
AAAI 2020
Motion-Attentive Transition for Zero-Shot Video Object Segmentation
AAAI 2020
Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos
AAAI 2020
EEMEFN: Low-Light Image Enhancement via Edge-Enhanced Multi-Exposure Fusion Network
AAAI 2020
Combining Real-Time Segmentation and Classification of Rehabilitation Exercises with LSTM Networks and Pointwise Boosting
AAAI 2020
EMSContExt: EMS Protocol-Driven Concept Extraction for Cognitive Assistance in Emergency Response
AAAI 2020
GRACE: Generating Summary Reports Automatically for Cognitive Assistance in Emergency Response
AAAI 2020
Interpreting Multimodal Machine Learning Models Trained for Emotion Recognition to Address Robustness and Privacy Concerns
AAAI 2020
Trimodal Attention Module for Multimodal Sentiment Analysis (Student Abstract)
AAAI 2020
Multi-View Deep Attention Network for Reinforcement Learning (Student Abstract)
AAAI 2020
SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning (Student Abstract)
AAAI 2020
Action Recognition and State Change Prediction in a Recipe Understanding Task Using a Lightweight Neural Network Model (Student Abstract)
AAAI 2020
A Multi-Task Learning Machine Reading Comprehension Model for Noisy Document (Student Abstract)
AAAI 2020
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