Concepedia

Deep Early Fusion

Deep Early Fusion is an academic methodological framework within multimodal machine learning that integrates raw input data from multiple modalities at the earliest possible stage of processing through deep neural architectures to enable end-to-end learning of joint representations.

16

Publications

1.3K

Citations

49

Authors

29

Institutions

Publications per year

2017–2026

14

Parents

Publications

16

Multimodal Sentiment Intensity Analysis in Videos: Facial Gestures and Verbal Messages

Amir Zadeh, Rowan Zellers, Eli Pincus et al. · IEEE Intelligent Systems · 2016 · 765 citations

, , +11

Deep recurrent de-noising auto-encoder and blind de-reverberation for reverberated speech recognition

Felix Weninger, Shinji Watanabe, Yuuki Tachioka et al. · 2014 · 83 citations · Full text

, , +13

Open Question Answering over Tables and Text

Wenhu Chen, Ming‐Wei Chang, Eva Schlinger et al. · International Conference on Learning Representations · 2021 · 76 citations

, , +10

Thermal images-aware guided early fusion network for cross-illumination RGB-T salient object detection

Han Wang, Kechen Song, Liming Huang et al. · Engineering Applications of Artificial Intelligence · 2022 · 54 citations

, , +13

A comprehensive survey on deep learning-based approaches for multimodal sentiment analysis

Alireza Ghorbanali, Mohammad Karim Sohrabi · Artificial Intelligence Review · 2023 · 46 citations

, , +15

1–5 of 16

Authors

49

  1. QS
    Quansen Sun

    Nanjing University of Science and Technology, China

    1 publications · 17 citations

    1

    h-index

  2. RP
    Rae‐Hong Park

    Sogang University, South Korea

    1 publications · 16 citations

    1

    h-index

  3. HP
    Hyung‐Min Park

    Sogang University, South Korea

    1 publications · 16 citations

    1

    h-index

  4. MX
    M. X. Ortega

    Pontifícia Universidade Católica do Rio de Janeiro, Brazil

    1 publications · 23 citations

    1

    h-index

  5. JH
    Jung-Wook Hwang

    Sogang University, South Korea

    1 publications · 16 citations

    1

    h-index

1–5 of 49

Institutions

29

  1. Carnegie Mellon University

    Pittsburgh, United States

    1 h-index

    2 publications

    1.5K citations

  2. Mitsubishi Electric (Japan)

    Tokyo, Japan

    1 h-index

    1 publications

    83 citations

  3. University of Guelph

    Guelph, Canada

    1 h-index

    1 publications

    22 citations

  4. Norwegian University of Life Sciences

    Ås, Norway

    1 h-index

    4 publications

    112 citations

  5. Northeastern University

    Shenyang, China

    1 h-index

    5 publications

    270 citations

  6. West Liberty University

    West Liberty, United States

    1 h-index

    1 publications

    17 citations

  7. Indian Institute of Technology Guwahati

    Guwahati, India

    1 h-index

    3 publications

    57 citations

  8. Nanjing University of Science and Technology

    Nanjing, China

    1 h-index

    3 publications

    51 citations

1–8 of 29

Venues

  1. 1

    h-index

  2. 1

    h-index

  3. Sensors

    1 publications · 14 citations

    1

    h-index

  4. IEEE Transactions on Human-Machine Systems

    1 publications · 44 citations

    1

    h-index

  5. Artificial Intelligence Review

    1 publications · 46 citations

    1

    h-index

1–5