【MAPs】多模态方向上的一些探索
Main From GitHub
Abstract
Introduction
Related Work
Cross-Modal Retrieval SOTA Work(20022.04):X_VLM
PDF+code
阅读笔记
带多种细粒度的图像文本匹配训练
使用交叉注意力以及跨模态编码器
Zero-Shot Cross-Modal Retrieval SOTA(20022.04):TCL
Method/model
提高商品跨模态检索的思路
理解单元
在语义对齐空间中，对齐的质量直接决定了图文之间的匹配程度。多粒度抽取可以获得图片中更丰富的语义以便搜索caption可以更好地定位这张图片（X-VLM）。
从充分利用模态信息的角度，可以加入ocr方法提取其中的信息，从而获得对应图片的文字信息，高维是一个极稀疏的空间，只要有样本和算力，不怕没有分界
技术单元
CBAM
double cross attention
special ocr model
Experiments
model 1:CLIP_zeroshot
Concluesion
References
下面是多模态领域值得一读的相关文献
感谢总结这些相关文献的作者：
更新连接
Reading List for Topics in Multimodal Machine Learning
By Paul Liang (pliang@cs.cmu.edu), Machine Learning Department and Language Technologies Institute, CMU, with help from members of the MultiComp Lab at LTI, CMU. If there are any areas, papers, and datasets I missed, please let me know!
Course content + workshops
New course 11-877 Advanced Topics in Multimodal Machine Learning Spring 2022 @ CMU. It will primarily be reading and discussion-based. We plan to post discussion probes, relevant papers, and summarized discussion highlights every week on the website.
Public course content and lecture videos from 11-777 Multimodal Machine Learning, Fall 2020 @ CMU.
Workshop on Learning with Natural Language Supervision @ ACL 2022
Table of Contents
- Survey Papers
- Core Areas
- Multimodal Representations
- Multimodal Fusion
- Multimodal Alignment
- Multimodal Pretraining
- Multimodal Translation
- Crossmodal Retrieval
- Multimodal Co-learning
- Missing or Imperfect Modalities
- Analysis of Multimodal Models
- Knowledge Graphs and Knowledge Bases
- Intepretable Learning
- Generative Learning
- Semi-supervised Learning
- Self-supervised Learning
- Language Models
- Adversarial Attacks
- Few-Shot Learning
- Bias and Fairness
- Human in the Loop Learning
- Architectures
- Applications and Datasets
- Language and Visual QA
- Language Grounding in Vision
- Language Grouding in Navigation
- Multimodal Machine Translation
- Multi-agent Communication
- Commonsense Reasoning
- Multimodal Reinforcement Learning
- Multimodal Dialog
- Language and Audio
- Audio and Visual
- Media Description
- Video Generation from Text
- Affect Recognition and Multimodal Language
- Healthcare
- Robotics
- Autonomous Driving
- Finance
- Human AI Interaction
- Workshops
- Tutorials
- Courses
Research Papers
Survey Papers
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods, JAIR 2021
Experience Grounds Language, EMNLP 2020
A Survey of Reinforcement Learning Informed by Natural Language, IJCAI 2019
Multimodal Machine Learning: A Survey and Taxonomy, TPAMI 2019
Multimodal Intelligence: Representation Learning, Information Fusion, and Applications, arXiv 2019
Deep Multimodal Representation Learning: A Survey, arXiv 2019
Guest Editorial: Image and Language Understanding, IJCV 2017
Representation Learning: A Review and New Perspectives, TPAMI 2013
A Survey of Socially Interactive Robots, 2003
Core Areas
Multimodal Representations
Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and Text, arXiv 2021
FLAVA: A Foundational Language And Vision Alignment Model, arXiv 2021
Transformer is All You Need: Multimodal Multitask Learning with a Unified Transformer, arXiv 2021
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning, NeurIPS 2021 [code]
Perceiver: General Perception with Iterative Attention, ICML 2021 [code]
Learning Transferable Visual Models From Natural Language Supervision, arXiv 2021 [blog] [code]
VinVL: Revisiting Visual Representations in Vision-Language Models, arXiv 2021 [blog] [code]
Learning Transferable Visual Models From Natural Language Supervision, arXiv 2020 [blog] [code]
12-in-1: Multi-Task Vision and Language Representation Learning, CVPR 2020 [code]
Watching the World Go By: Representation Learning from Unlabeled Videos, arXiv 2020
Learning Video Representations using Contrastive Bidirectional Transformer, arXiv 2019
Visual Concept-Metaconcept Learning, NeurIPS 2019 [code]
OmniNet: A Unified Architecture for Multi-modal Multi-task Learning, arXiv 2019 [code]
Learning Representations by Maximizing Mutual Information Across Views, arXiv 2019 [code]
ViCo: Word Embeddings from Visual Co-occurrences, ICCV 2019 [code]
Multi-Task Learning of Hierarchical Vision-Language Representation, CVPR 2019
Learning Factorized Multimodal Representations, ICLR 2019 [code]
Do Neural Network Cross-Modal Mappings Really Bridge Modalities?, ACL 2018
Learning Robust Visual-Semantic Embeddings, ICCV 2017
Deep Multimodal Representation Learning from Temporal Data, CVPR 2017
Combining Language and Vision with a Multimodal Skip-gram Model, NAACL 2015
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping, NIPS 2014
Multimodal Learning with Deep Boltzmann Machines, JMLR 2014
Learning Grounded Meaning Representations with Autoencoders, ACL 2014
DeViSE: A Deep Visual-Semantic Embedding Model, NeurIPS 2013
Multimodal Deep Learning, ICML 2011
Multimodal Fusion
Robust Contrastive Learning against Noisy Views, arXiv 2022
Cooperative Learning for Multi-view Analysis, arXiv 2022
What Makes Multi-modal Learning Better than Single (Provably), NeurIPS 2021
Efficient Multi-Modal Fusion with Diversity Analysis, ACMMM 2021
Attention Bottlenecks for Multimodal Fusion, NeurIPS 2021
Trusted Multi-View Classification, ICLR 2021 [code]
Deep-HOSeq: Deep Higher-Order Sequence Fusion for Multimodal Sentiment Analysis, ICDM 2020
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies, NeurIPS 2020 [code]
Deep Multimodal Fusion by Channel Exchanging, NeurIPS 2020 [code]
What Makes Training Multi-Modal Classification Networks Hard?, CVPR 2020
Dynamic Fusion for Multimodal Data, arXiv 2019
DeepCU: Integrating Both Common and Unique Latent Information for Multimodal Sentiment Analysis, IJCAI 2019 [code]
Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling, NeurIPS 2019
XFlow: Cross-modal Deep Neural Networks for Audiovisual Classification, IEEE TNNLS 2019 [code]
MFAS: Multimodal Fusion Architecture Search, CVPR 2019
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision, ICLR 2019 [code]
Unifying and merging well-trained deep neural networks for inference stage, IJCAI 2018 [code]
Efficient Low-rank Multimodal Fusion with Modality-Specific Factors, ACL 2018 [code]
Memory Fusion Network for Multi-view Sequential Learning, AAAI 2018 [code]
Tensor Fusion Network for Multimodal Sentiment Analysis, EMNLP 2017 [code]
A co-regularized approach to semi-supervised learning with multiple views, ICML 2005
Multimodal Alignment
Reconsidering Representation Alignment for Multi-view Clustering, CVPR 2021 [code]
CoMIR: Contrastive Multimodal Image Representation for Registration, NeurIPS 2020 [code]
Multimodal Transformer for Unaligned Multimodal Language Sequences, ACL 2019 [code]
Temporal Cycle-Consistency Learning, CVPR 2019 [code]
See, Hear, and Read: Deep Aligned Representations, arXiv 2017
On Deep Multi-View Representation Learning, ICML 2015
Unsupervised Alignment of Natural Language Instructions with Video Segments, AAAI 2014
Multimodal Alignment of Videos, MM 2014
Deep Canonical Correlation Analysis, ICML 2013 [code]
Multimodal Pretraining
Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling, CVPR 2021 [code]
Transformer is All You Need: Multimodal Multitask Learning with a Unified Transformer, arXiv 2021
Large-Scale Adversarial Training for Vision-and-Language Representation Learning, NeurIPS 2020 [code]
Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision, EMNLP 2020 [code]
Integrating Multimodal Information in Large Pretrained Transformers, ACL 2020
VL-BERT: Pre-training of Generic Visual-Linguistic Representations, arXiv 2019 [code]
VisualBERT: A Simple and Performant Baseline for Vision and Language, arXiv 2019 [code]
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks, NeurIPS 2019 [code]
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training, arXiv 2019
LXMERT: Learning Cross-Modality Encoder Representations from Transformers, EMNLP 2019 [code]
VideoBERT: A Joint Model for Video and Language Representation Learning, ICCV 2019
Multimodal Translation
Zero-Shot Text-to-Image Generation, ICML 2021 [code]
Translate-to-Recognize Networks for RGB-D Scene Recognition, CVPR 2019 [code]
Language2Pose: Natural Language Grounded Pose Forecasting, 3DV 2019 [code]
Reconstructing Faces from Voices, NeurIPS 2019 [code]
Speech2Face: Learning the Face Behind a Voice, CVPR 2019 [code]
Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities, AAAI 2019 [code]
Natural TTS Synthesis by Conditioning Wavenet on Mel Spectrogram Predictions, ICASSP 2018 [code]
Crossmodal Retrieval
MURAL: Multimodal, Multitask Retrieval Across Languages, arXiv 2021
Self-Supervised Learning from Web Data for Multimodal Retrieval, arXiv 2019
Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models, CVPR 2018
Multimodal Co-learning
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision, ICML 2021
Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions, arXiv 2021
Vokenization: Improving Language Understanding via Contextualized, Visually-Grounded Supervision, EMNLP 2020
Foundations of Multimodal Co-learning, Information Fusion 2020
Missing or Imperfect Modalities
A Variational Information Bottleneck Approach to Multi-Omics Data Integration, AISTATS 2021 [code]
SMIL: Multimodal Learning with Severely Missing Modality, AAAI 2021
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series, arXiv 2019
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization, ACL 2019
Multimodal Deep Learning for Robust RGB-D Object Recognition, IROS 2015
Analysis of Multimodal Models
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis, IEEE TVCG 2022
Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers, TACL 2021
Does my multimodal model learn cross-modal interactions? It’s harder to tell than you might think!, EMNLP 2020
Blindfold Baselines for Embodied QA, NIPS 2018 Visually-Grounded Interaction and Language Workshop
Analyzing the Behavior of Visual Question Answering Models, EMNLP 2016
Knowledge Graphs and Knowledge Bases
MMKG: Multi-Modal Knowledge Graphs, ESWC 2019
Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs, AKBC 2019
Embedding Multimodal Relational Data for Knowledge Base Completion, EMNLP 2018
A Multimodal Translation-Based Approach for Knowledge Graph Representation Learning, SEM 2018 [code]
Order-Embeddings of Images and Language, ICLR 2016 [code]
Building a Large-scale Multimodal Knowledge Base System for Answering Visual Queries, arXiv 2015
Intepretable Learning
Multimodal Explanations by Predicting Counterfactuality in Videos, CVPR 2019
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence, CVPR 2018 [code]
Do Explanations make VQA Models more Predictable to a Human?, EMNLP 2018
Towards Transparent AI Systems: Interpreting Visual Question Answering Models, ICML Workshop on Visualization for Deep Learning 2016
Generative Learning
Generalized Multimodal ELBO, ICLR 2021 [code]
Variational Mixture-of-Experts Autoencodersfor Multi-Modal Deep Generative Models, NeurIPS 2019 [code]
Few-shot Video-to-Video Synthesis, NeurIPS 2019 [code]
Multimodal Generative Models for Scalable Weakly-Supervised Learning, NeurIPS 2018 [code1] [code2]
The Multi-Entity Variational Autoencoder, NeurIPS 2017
Semi-supervised Learning
Semi-supervised Vision-language Mapping via Variational Learning, ICRA 2017
Semi-supervised Multimodal Hashing, arXiv 2017
Semi-Supervised Multimodal Deep Learning for RGB-D Object Recognition, IJCAI 2016
Multimodal Semi-supervised Learning for Image Classification, CVPR 2010
Self-supervised Learning
DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning, NeurIPS 2021 Datasets & Benchmarks Track [code]
Self-Supervised Learning by Cross-Modal Audio-Video Clustering, NeurIPS 2020 [code]
Self-Supervised MultiModal Versatile Networks, NeurIPS 2020 [code]
Labelling Unlabelled Videos from Scratch with Multi-modal Self-supervision, NeurIPS 2020 [code]
Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces, CVPR 2017
Multimodal Dynamics : Self-supervised Learning in Perceptual and Motor Systems, 2016
Language Models
Neural Language Modeling with Visual Features, arXiv 2019
Learning Multi-Modal Word Representation Grounded in Visual Context, AAAI 2018
Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings Using Abstract Scenes, CVPR 2016
Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models, ICML 2014 [code]
Adversarial Attacks
Attend and Attack: Attention Guided Adversarial Attacks on Visual Question Answering Models, NeurIPS Workshop on Visually Grounded Interaction and Language 2018
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning, ACL 2018 [code]
Fooling Vision and Language Models Despite Localization and Attention Mechanism, CVPR 2018
Few-Shot Learning
Language to Network: Conditional Parameter Adaptation with Natural Language Descriptions, ACL 2020
Shaping Visual Representations with Language for Few-shot Classification, ACL 2020
Zero-Shot Learning - The Good, the Bad and the Ugly, CVPR 2017
Zero-Shot Learning Through Cross-Modal Transfer, NIPS 2013
Bias and Fairness
Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Models, arXiv 2021
Towards Debiasing Sentence Representations, ACL 2020 [code]
FairCVtest Demo: Understanding Bias in Multimodal Learning with a Testbed in Fair Automatic Recruitment, ICMI 2020 [code]
Model Cards for Model Reporting, FAccT 2019
Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings, NAACL 2019 [code]
Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification, FAccT 2018
Datasheets for Datasets, arXiv 2018
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings, NeurIPS 2016
Human in the Loop Learning
Human in the Loop Dialogue Systems, NeurIPS 2020 workshop
Human And Machine in-the-Loop Evaluation and Learning Strategies, NeurIPS 2020 workshop
Human-centric dialog training via offline reinforcement learning, EMNLP 2020 [code]
Human-In-The-Loop Machine Learning with Intelligent Multimodal Interfaces, ICML 2017 workshop
Architectures
Multimodal Transformers
Pretrained Transformers As Universal Computation Engines, AAAI 2022
Perceiver: General Perception with Iterative Attention, ICML 2021
FLAVA: A Foundational Language And Vision Alignment Model, arXiv 2021
PolyViT: Co-training Vision Transformers on Images, Videos and Audio, arXiv 2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text, NeurIPS 2021 [code]
Parameter Efficient Multimodal Transformers for Video Representation Learning, ICLR 2021 [code]
Multimodal Memory
Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation, arXiv 2021
History Aware Multimodal Transformer for Vision-and-Language Navigation, NeurIPS 2021 [code]
Episodic Memory in Lifelong Language Learning, NeurIPS 2019
ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection, EMNLP 2018
Multimodal Memory Modelling for Video Captioning, CVPR 2018
Dynamic Memory Networks for Visual and Textual Question Answering, ICML 2016
Applications and Datasets
Language and Visual QA
SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events, CVPR 2021 [code]
MultiModalQA: complex question answering over text, tables and images, ICLR 2021
ManyModalQA: Modality Disambiguation and QA over Diverse Inputs, AAAI 2020 [code]
Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA, CVPR 2020
Interactive Language Learning by Question Answering, EMNLP 2019 [code]
Fusion of Detected Objects in Text for Visual Question Answering, arXiv 2019
RUBi: Reducing Unimodal Biases in Visual Question Answering, NeurIPS 2019 [code]
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering, CVPR 2019 [code]
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge, CVPR 2019 [code]
MUREL: Multimodal Relational Reasoning for Visual Question Answering, CVPR 2019 [code]
Social-IQ: A Question Answering Benchmark for Artificial Social Intelligence, CVPR 2019 [code]
Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering, ICML 2019 [code]
Learning to Count Objects in Natural Images for Visual Question Answering, ICLR 2018, [code]
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization, NeurIPS 2018
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding, NeurIPS 2018 [code]
RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes, EMNLP 2018 [code]
TVQA: Localized, Compositional Video Question Answering, EMNLP 2018 [code]
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering, CVPR 2018 [code]
Don’t Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering, CVPR 2018 [code]
Stacked Latent Attention for Multimodal Reasoning, CVPR 2018
Learning to Reason: End-to-End Module Networks for Visual Question Answering, ICCV 2017 [code]
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning, CVPR 2017 [code] [dataset generation]
Are You Smarter Than A Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension, CVPR 2017 [code]
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding, EMNLP 2016 [code]
MovieQA: Understanding Stories in Movies through Question-Answering, CVPR 2016 [code]
VQA: Visual Question Answering, ICCV 2015 [code]
Language Grounding in Vision
Core Challenges in Embodied Vision-Language Planning, arXiv 2021
MaRVL: Multicultural Reasoning over Vision and Language, EMNLP 2021 [code]
Grounding ‘Grounding’ in NLP, ACL 2021
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes, NeurIPS 2020 [code]
What Does BERT with Vision Look At?, ACL 2020
Visual Grounding in Video for Unsupervised Word Translation, CVPR 2020 [code]
VIOLIN: A Large-Scale Dataset for Video-and-Language Inference, CVPR 2020 [code]
Grounded Video Description, CVPR 2019
Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions, CVPR 2019
Multilevel Language and Vision Integration for Text-to-Clip Retrieval, AAAI 2019 [code]
Binary Image Selection (BISON): Interpretable Evaluation of Visual Grounding, arXiv 2019 [code]
Finding “It”: Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos, CVPR 2018
SCAN: Learning Hierarchical Compositional Visual Concepts, ICLR 2018
Visual Coreference Resolution in Visual Dialog using Neural Module Networks, ECCV 2018 [code]
Gated-Attention Architectures for Task-Oriented Language Grounding, AAAI 2018 [code]
Using Syntax to Ground Referring Expressions in Natural Images, AAAI 2018 [code]
Grounding language acquisition by training semantic parsers using captioned videos, ACL 2018
Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts, NeurIPS 2017
Localizing Moments in Video with Natural Language, ICCV 2017
What are you talking about? Text-to-Image Coreference, CVPR 2014
Grounded Language Learning from Video Described with Sentences, ACL 2013
Grounded Compositional Semantics for Finding and Describing Images with Sentences, TACL 2013
Language Grouding in Navigation
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning, ICLR 2021 [code]
Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation, ICRA 2021, [code], [video], [project page]
Improving Vision-and-Language Navigation with Image-Text Pairs from the Web, ECCV 2020
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training, CVPR 2020 [code]
VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering, BMVC 2019 [code]
Vision-and-Dialog Navigation, arXiv 2019 [code]
Hierarchical Decision Making by Generating and Following Natural Language Instructions, arXiv 2019 [code]
Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation, ACL 2019
Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation, ACL 2019
Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments, CVPR 2019 [code]
The Regretful Navigation Agent for Vision-and-Language Navigation, CVPR 2019 [code]
Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation, CVPR 2019 [code]
Multi-modal Discriminative Model for Vision-and-Language Navigation, NAACL SpLU-RoboNLP Workshop 2019
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation, ICLR 2019 [code]
From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following, ICLR 2019
Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout, NAACL 2019 [code]
Attention Based Natural Language Grounding by Navigating Virtual Environment, IEEE WACV 2019
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction, EMNLP 2018 [code]
Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments, CVPR 2018 [code]
Embodied Question Answering, CVPR 2018 [code]
Multimodal Machine Translation
Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting, ACL 2020
Multimodal Transformer for Multimodal Machine Translation, ACL 2020
Neural Machine Translation with Universal Visual Representation, ICLR 2020 [code]
Visual Agreement Regularized Training for Multi-Modal Machine Translation, AAAI 2020
VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research, ICCV 2019 [code]
Latent Variable Model for Multi-modal Translation, ACL 2019
Distilling Translations with Visual Awareness, ACL 2019
Probing the Need for Visual Context in Multimodal Machine Translation, NAACL 2019
Emergent Translation in Multi-Agent Communication, ICLR 2018
Zero-Resource Neural Machine Translation with Multi-Agent Communication Game, AAAI 2018
Learning Translations via Images with a Massively Multilingual Image Dataset, ACL 2018
A Visual Attention Grounding Neural Model for Multimodal Machine Translation, EMNLP 2018
Adversarial Evaluation of Multimodal Machine Translation, EMNLP 2018
Doubly-Attentive Decoder for Multi-modal Neural Machine Translation, ACL 2017 [code]
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation, EMNLP 2017
Incorporating Global Visual Features into Attention-based Neural Machine Translation, EMNLP 2017 [code]
Multimodal Pivots for Image Caption Translation, ACL 2016
Multi30K: Multilingual English-German Image Descriptions, ACL Workshop on Language and Vision 2016 [code]
Does Multimodality Help Human and Machine for Translation and Image Captioning?, ACL WMT 2016
Multi-agent Communication
Emergence of Compositional Language with Deep Generational Transmission, ICML 2019
On the Pitfalls of Measuring Emergent Communication, AAMAS 2019 [code]
Emergent Translation in Multi-Agent Communication, ICLR 2018 [code]
Emergent Communication in a Multi-Modal, Multi-Step Referential Game, ICLR 2018 [code]
Emergence of Linguistic Communication From Referential Games with Symbolic and Pixel Input, ICLR 2018
Emergent Communication through Negotiation, ICLR 2018 [code]
Emergence of Grounded Compositional Language in Multi-Agent Populations, AAAI 2018
Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols, NeurIPS 2017
Natural Language Does Not Emerge ‘Naturally’ in Multi-Agent Dialog, EMNLP 2017 [code1] [code2]
Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning, ICCV 2017 code
Multi-agent Cooperation and the Emergence of (natural) Language, ICLR 2017
Learning to Communicate with Deep Multi-agent Reinforcement Learning, NIPS 2016.
Learning multiagent communication with backpropagation, NIPS 2016.
The Emergence of Compositional Structures in Perceptually Grounded Language Games, AI 2005
Commonsense Reasoning
Adventures in Flatland: Perceiving Social Interactions Under Physical Dynamics, CogSci 2020
A Logical Model for Supporting Social Commonsense Knowledge Acquisition, arXiv 2019
Heterogeneous Graph Learning for Visual Commonsense Reasoning, NeurIPS 2019
SocialIQA: Commonsense Reasoning about Social Interactions, arXiv 2019
From Recognition to Cognition: Visual Commonsense Reasoning, CVPR 2019 [code]
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge, NAACL 2019
Multimodal Reinforcement Learning
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research, NeurIPS 2021 [code]
Imitating Interactive Intelligence, arXiv 2020
Grounded Language Learning Fast and Slow, ICLR 2021
RTFM: Generalising to Novel Environment Dynamics via Reading, ICLR 2020 [code]
Embodied Multimodal Multitask Learning, IJCAI 2020
Learning to Speak and Act in a Fantasy Text Adventure Game, arXiv 2019 [code]
Language as an Abstraction for Hierarchical Deep Reinforcement Learning, NeurIPS 2019
Hierarchical Decision Making by Generating and Following Natural Language Instructions, NeurIPS 2019 [code]
Habitat: A Platform for Embodied AI Research, ICCV 2019 [code]
Multimodal Hierarchical Reinforcement Learning Policy for Task-Oriented Visual Dialog, SIGDIAL 2018
Mapping Instructions and Visual Observations to Actions with Reinforcement Learning, EMNLP 2017
Reinforcement Learning for Mapping Instructions to Actions, ACL 2009
Multimodal Dialog
Two Causal Principles for Improving Visual Dialog, CVPR 2020
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations, ACL 2019 [code]
CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog, NAACL 2019 [code]
Talk the Walk: Navigating New York City through Grounded Dialogue, arXiv 2018
Dialog-based Interactive Image Retrieval, NeurIPS 2018 [code]
Towards Building Large Scale Multimodal Domain-Aware Conversation Systems, arXiv 2017 [code]
Visual Dialog, CVPR 2017 [code]
Language and Audio
Lattice Transformer for Speech Translation, ACL 2019
Exploring Phoneme-Level Speech Representations for End-to-End Speech Translation, ACL 2019
Audio Caption: Listen and Tell, ICASSP 2019
Audio-Linguistic Embeddings for Spoken Sentences, ICASSP 2019
From Audio to Semantics: Approaches To End-to-end Spoken Language Understanding, arXiv 2018
Natural TTS Synthesis by Conditioning Wavenet on Mel Spectrogram Predictions, ICASSP 2018 [code]
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning, ICLR 2018
Deep Voice 2: Multi-Speaker Neural Text-to-Speech, NeurIPS 2017
Deep Voice: Real-time Neural Text-to-Speech, ICML 2017
Text-to-Speech Synthesis, 2009
Audio and Visual
Music Gesture for Visual Sound Separation, CVPR 2020
Co-Compressing and Unifying Deep CNN Models for Efficient Human Face and Speaker Recognition, CVPRW 2019
Learning Individual Styles of Conversational Gesture, CVPR 2019 [code]
Capture, Learning, and Synthesis of 3D Speaking Styles, CVPR 2019 [code]
Disjoint Mapping Network for Cross-modal Matching of Voices and Faces, ICLR 2019
Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks, ICASSP 2019 [code]
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input, ECCV 2018 [code]
Seeing Voices and Hearing Faces: Cross-modal Biometric Matching, CVPR 2018 [code]
Learning to Separate Object Sounds by Watching Unlabeled Video, CVPR 2018
Deep Audio-Visual Speech Recognition, IEEE TPAMI 2018
Look, Listen and Learn, ICCV 2017
Unsupervised Learning of Spoken Language with Visual Context, NeurIPS 2016
SoundNet: Learning Sound Representations from Unlabeled Video, NeurIPS 2016 [code]
Media Description
Towards Unsupervised Image Captioning with Shared Multimodal Embeddings, ICCV 2019
Video Relationship Reasoning using Gated Spatio-Temporal Energy Graph, CVPR 2019 [code]
Joint Event Detection and Description in Continuous Video Streams, WACVW 2019
Learning to Compose and Reason with Language Tree Structures for Visual Grounding, TPAMI 2019
Neural Baby Talk, CVPR 2018 [code]
Grounding Referring Expressions in Images by Variational Context, CVPR 2018
Video Captioning via Hierarchical Reinforcement Learning, CVPR 2018
Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos, CVPR 2018 [code]
Neural Motifs: Scene Graph Parsing with Global Context, CVPR 2018 [code]
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling, ACL 2018
Generating Descriptions with Grounded and Co-Referenced People, CVPR 2017
DenseCap: Fully Convolutional Localization Networks for Dense Captioning, CVPR 2016
Review Networks for Caption Generation, NeurIPS 2016 [code]
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding, ECCV 2016 [code]
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge, TPAMI 2016 [code]
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention, ICML 2015 [code]
Deep Visual-Semantic Alignments for Generating Image Descriptions, CVPR 2015 [code]
Show and Tell: A Neural Image Caption Generator, CVPR 2015 [code]
A Dataset for Movie Description, CVPR 2015 [code]
What’s Cookin’? Interpreting Cooking Videos using Text, Speech and Vision, NAACL 2015 [code]
Microsoft COCO: Common Objects in Context, ECCV 2014 [code]
Video Generation from Text
Image Generation from Scene Graphs, CVPR 2018
Learning to Color from Language, NAACL 2018
Generative Adversarial Text to Image Synthesis, ICML 2016
Affect Recognition and Multimodal Language
End-to-end Facial and Physiological Model for Affective Computing and Applications, arXiv 2019
Affective Computing for Large-Scale Heterogeneous Multimedia Data: A Survey, ACM TOMM 2019
Towards Multimodal Sarcasm Detection (An Obviously_Perfect Paper), ACL 2019 [code]
Multi-modal Approach for Affective Computing, EMBC 2018
Multimodal Language Analysis with Recurrent Multistage Fusion, EMNLP 2018
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph, ACL 2018 [code]
Multi-attention Recurrent Network for Human Communication Comprehension, AAAI 2018 [code]
End-to-End Multimodal Emotion Recognition using Deep Neural Networks, arXiv 2017
AMHUSE - A Multimodal dataset for HUmor SEnsing, ICMI 2017 [code]
Decoding Children’s Social Behavior, CVPR 2013 [code]
Collecting Large, Richly Annotated Facial-Expression Databases from Movies, IEEE Multimedia 2012 [code]
The Interactive Emotional Dyadic Motion Capture (IEMOCAP) Database, 2008 [code]
Healthcare
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images, ICCV, 2021
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis, IEEE TMI, 2020
Leveraging Medical Visual Question Answering with Supporting Facts, arXiv 2019
Unsupervised Multimodal Representation Learning across Medical Images and Reports, ML4H 2018
Multimodal Medical Image Retrieval based on Latent Topic Modeling, ML4H 2018
Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning, ML4H 2018
Knowledge-driven Generative Subspaces for Modeling Multi-view Dependencies in Medical Data, ML4H 2018
Multimodal Depression Detection: Fusion Analysis of Paralinguistic, Head Pose and Eye Gaze Behaviors, TAC 2018
Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction, AAAI 2018
Machine Learning in Multimodal Medical Imaging, 2017
Cross-modal Recurrent Models for Weight Objective Prediction from Multimodal Time-series Data, ML4H 2017
SimSensei Kiosk: A Virtual Human Interviewer for Healthcare Decision Support, AAMAS 2014
Dyadic Behavior Analysis in Depression Severity Assessment Interviews, ICMI 2014
Audiovisual Behavior Descriptors for Depression Assessment, ICMI 2013
Robotics
Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors, ICRA 2021
Multimodal sensor fusion with differentiable filters, IROS 2020
Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations, RSS 2020
See, Feel, Act: Hierarchical Learning for Complex Manipulation Skills with Multi-sensory Fusion, Science Robotics 2019
Early Fusion for Goal Directed Robotic Vision, IROS 2019
Simultaneously Learning Vision and Feature-based Control Policies for Real-world Ball-in-a-Cup, RSS 2019
Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks, RSS 2019
Multi-modal Predicate Identification using Dynamically Learned Robot Controllers, IJCAI 2018
Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction, arXiv 2017
Perching and Vertical Climbing: Design of a Multimodal Robot, ICRA 2014
Multi-Modal Scene Understanding for Robotic Grasping, 2011
Strategies for Multi-Modal Scene Exploration, IROS 2010
Autonomous Driving
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges, IEEE TITS 2020 [website]
nuScenes: A multimodal dataset for autonomous driving, CVPR 2020 [dataset]
Multimodal End-to-End Autonomous Driving, arXiv 2020
Finance
A Multimodal Event-driven LSTM Model for Stock Prediction Using Online News, TKDE 2020
Multimodal Deep Learning for Finance: Integrating and Forecasting International Stock Markets, 2019
Multimodal deep learning for short-term stock volatility prediction, 2018
Human AI Interaction
Multimodal Human Computer Interaction: A Survey, HCI 2005
Affective multimodal human-computer interaction, Multimedia 2005
Building a multimodal human-robot interface, IEEE Intelligent Systems 2001
Workshops
Social Intelligence in Humans and Robots @ ICRA 2021
LANTERN 2021: The Third Workshop Beyond Vision and LANguage: inTEgrating Real-world kNowledge @ EACL 2021
Multimodal workshops @ CVPR 2021: Multimodal Learning and Applications, Sight and Sound, Visual Question Answering, Embodied AI, Language for 3D Scenes.
Multimodal workshops @ NAACL 2021: MAI-Workshop, ALVR, ViGIL.
ICLR 2021 workshop on Embodied Multimodal Learning.
NeurIPS 2020 workshop on Wordplay: When Language Meets Games.
ACL 2020 workshops on Multimodal Language (proceedings) and Advances in Language and Vision Research.
Multimodal workshops @ ECCV 2020: EVAL, CAMP, and MVA.
Multi-Modal Video Reasoning and Analyzing Competition, ICCV 2021
Grand Challenge and Workshop on Human Multimodal Language, ACL 2020, ACL 2018
Advances in Language and Vision Research, ACL 2020
Visually Grounded Interaction and Language, NeurIPS 2019, NeurIPS 2018
Emergent Communication: Towards Natural Language, NeurIPS 2019
Workshop on Multimodal Understanding and Learning for Embodied Applications, ACM Multimedia 2019
Beyond Vision and Language: Integrating Real-World Knowledge, EMNLP 2019
The How2 Challenge: New Tasks for Vision & Language, ICML 2019
Visual Question Answering and Dialog, CVPR 2019, CVPR 2017
Multi-modal Learning from Videos, CVPR 2019
Multimodal Learning and Applications Workshop, CVPR 2019, ECCV 2018
Habitat: Embodied Agents Challenge and Workshop, CVPR 2019
Closing the Loop Between Vision and Language & LSMD Challenge, ICCV 2019
Multi-modal Video Analysis and Moments in Time Challenge, ICCV 2019
Cross-Modal Learning in Real World, ICCV 2019
Spatial Language Understanding and Grounded Communication for Robotics, NAACL 2019
YouTube-8M Large-Scale Video Understanding, ICCV 2019, ECCV 2018, CVPR 2017
Language and Vision Workshop, CVPR 2019, CVPR 2018, CVPR 2017, CVPR 2015
Sight and Sound, CVPR 2019, CVPR 2018
The Large Scale Movie Description Challenge (LSMDC), ICCV 2019, ICCV 2017
Wordplay: Reinforcement and Language Learning in Text-based Games, NeurIPS 2018
Interpretability and Robustness in Audio, Speech, and Language, NeurIPS 2018
Multimodal Robot Perception, ICRA 2018
WMT18: Shared Task on Multimodal Machine Translation, EMNLP 2018
Shortcomings in Vision and Language, ECCV 2018
Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, EMNLP 2018, EMNLP 2017, NAACL-HLT 2016, EMNLP 2015, ACL 2014, NAACL-HLT 2013
Visual Understanding Across Modalities, CVPR 2017
International Workshop on Computer Vision for Audio-Visual Media, ICCV 2017
Language Grounding for Robotics, ACL 2017
Computer Vision for Audio-visual Media, ECCV 2016
Language and Vision, ACL 2016, EMNLP 2015
Tutorials
Recent Advances in Vision-and-Language Research, CVPR 2020
Connecting Language and Vision to Actions, ACL 2018
Machine Learning for Clinicians: Advances for Multi-Modal Health Data, MLHC 2018
Multimodal Machine Learning, ACL 2017, CVPR 2016, ICMI 2016
Vision and Language: Bridging Vision and Language with Deep Learning, ICIP 2017
Courses
Follow our course 11-777 Multimodal Machine Learning, Fall 2020 @ CMU.
CMU 05-618, Human-AI Interaction
CMU 11-777, Advanced Multimodal Machine Learning
Stanford CS422: Interactive and Embodied Learning
CMU 16-785, Integrated Intelligence in Robotics: Vision, Language, and Planning