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Multi-modal Deep Learning

Multi-modal Deep Learning

6 March 2024
Chen Yuhua
    MedIm
ArXivPDFHTML

Papers citing "Multi-modal Deep Learning"

23 / 23 papers shown
Title
PREMISE: Matching-based Prediction for Accurate Review Recommendation
PREMISE: Matching-based Prediction for Accurate Review Recommendation
Wei Han
Hui Chen
Soujanya Poria
47
0
0
02 May 2025
Automatic Detection of Intro and Credits in Video using CLIP and Multihead Attention
Automatic Detection of Intro and Credits in Video using CLIP and Multihead Attention
Vasilii Korolkov
Andrey Yanchenko
VLM
40
0
0
13 Apr 2025
Learning Musical Representations for Music Performance Question Answering
Xingjian Diao
Chunhui Zhang
Tingxuan Wu
Ming Cheng
Z. Ouyang
Weiyi Wu
Jiang Gui
73
7
0
10 Feb 2025
Longitudinal Abuse and Sentiment Analysis of Hollywood Movie Dialogues using LLMs
Longitudinal Abuse and Sentiment Analysis of Hollywood Movie Dialogues using LLMs
Rohitash Chandra
Guoxiang Ren
G. Houseman
46
0
0
20 Jan 2025
What to align in multimodal contrastive learning?
What to align in multimodal contrastive learning?
Benoit Dufumier
J. Castillo-Navarro
D. Tuia
Jean-Philippe Thiran
29
3
0
11 Sep 2024
Hybrid Quantum-inspired Resnet and Densenet for Pattern Recognition with
  Completeness Analysis
Hybrid Quantum-inspired Resnet and Densenet for Pattern Recognition with Completeness Analysis
Andi Chen
Hua‐Lei Yin
Zeng-Bing Chen
Shengjun Wu
34
0
0
09 Mar 2024
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion
Xing Han
Huy Nguyen
Carl Harris
Nhat Ho
S. Saria
MoE
77
16
0
05 Feb 2024
Understanding the Robustness of Multi-modal Contrastive Learning to
  Distribution Shift
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift
Yihao Xue
Siddharth Joshi
Dang Nguyen
Baharan Mirzasoleiman
VLM
31
4
0
08 Oct 2023
Understanding Transferable Representation Learning and Zero-shot
  Transfer in CLIP
Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP
Zixiang Chen
Yihe Deng
Yuanzhi Li
Quanquan Gu
VLM
25
10
0
02 Oct 2023
On the Computational Benefit of Multimodal Learning
On the Computational Benefit of Multimodal Learning
Zhou Lu
27
0
0
25 Sep 2023
Learning to Taste: A Multimodal Wine Dataset
Learning to Taste: A Multimodal Wine Dataset
Thoranna Bender
Simon Moe Sorensen
A. Kashani
K. E. Hjorleifsson
Grethe Hyldig
Søren Hauberg
Serge J. Belongie
Frederik Warburg
CoGe
27
2
0
31 Aug 2023
Multimodal Deep Learning for Personalized Renal Cell Carcinoma
  Prognosis: Integrating CT Imaging and Clinical Data
Multimodal Deep Learning for Personalized Renal Cell Carcinoma Prognosis: Integrating CT Imaging and Clinical Data
Maryamalsadat Mahootiha
H. Qadir
Jacob Bergsland
I. Balasingham
21
7
0
07 Jul 2023
UniS-MMC: Multimodal Classification via Unimodality-supervised
  Multimodal Contrastive Learning
UniS-MMC: Multimodal Classification via Unimodality-supervised Multimodal Contrastive Learning
Heqing Zou
Meng Shen
Chen Chen
Yuchen Hu
D. Rajan
Chng Eng Siong
SSL
37
15
0
16 May 2023
On Uni-Modal Feature Learning in Supervised Multi-Modal Learning
On Uni-Modal Feature Learning in Supervised Multi-Modal Learning
Chenzhuang Du
Jiaye Teng
Tingle Li
Yichen Liu
Tianyuan Yuan
Yue Wang
Yang Yuan
Hang Zhao
86
38
0
02 May 2023
UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion
  Recognition
UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition
Guimin Hu
Ting-En Lin
Yi Zhao
Guangming Lu
Yuchuan Wu
Yongbin Li
31
110
0
21 Nov 2022
Contrastive Audio-Visual Masked Autoencoder
Contrastive Audio-Visual Masked Autoencoder
Yuan Gong
Andrew Rouditchenko
Alexander H. Liu
David Harwath
Leonid Karlinsky
Hilde Kuehne
James R. Glass
35
120
0
02 Oct 2022
A survey of multimodal deep generative models
A survey of multimodal deep generative models
Masahiro Suzuki
Y. Matsuo
SyDa
DRL
57
76
0
05 Jul 2022
Deep Class Incremental Learning from Decentralized Data
Deep Class Incremental Learning from Decentralized Data
Xiaohan Zhang
Songlin Dong
Jinjie Chen
Qiaoling Tian
Yihong Gong
Xiaopeng Hong
CLL
23
11
0
11 Mar 2022
Memory-augmented Deep Unfolding Network for Guided Image
  Super-resolution
Memory-augmented Deep Unfolding Network for Guided Image Super-resolution
Man Zhou
Keyu Yan
Jin-shan Pan
Wenqi Ren
Qiaokang Xie
Xiangyong Cao
GAN
SupR
25
60
0
12 Feb 2022
DeepStroke: An Efficient Stroke Screening Framework for Emergency Rooms
  with Multimodal Adversarial Deep Learning
DeepStroke: An Efficient Stroke Screening Framework for Emergency Rooms with Multimodal Adversarial Deep Learning
Tongan Cai
Haomiao Ni
Ming-Chieh Yu
Xiaolei Huang
K. Wong
John Volpi
J. Z. Wang
Stephen T. C. Wong
13
14
0
24 Sep 2021
Perceiver IO: A General Architecture for Structured Inputs & Outputs
Perceiver IO: A General Architecture for Structured Inputs & Outputs
Andrew Jaegle
Sebastian Borgeaud
Jean-Baptiste Alayrac
Carl Doersch
Catalin Ionescu
...
Olivier J. Hénaff
M. Botvinick
Andrew Zisserman
Oriol Vinyals
João Carreira
MLLM
VLM
GNN
20
565
0
30 Jul 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
Xin Huang
A. Khetan
Milan Cvitkovic
Zohar Karnin
ViT
LMTD
157
417
0
11 Dec 2020
StageNet: Stage-Aware Neural Networks for Health Risk Prediction
StageNet: Stage-Aware Neural Networks for Health Risk Prediction
Junyi Gao
Cao Xiao
Yasha Wang
Wen Tang
Lucas Glass
Jimeng Sun
37
92
0
24 Jan 2020
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