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Deep Co-Attention Network for Multi-View Subspace Learning

Deep Co-Attention Network for Multi-View Subspace Learning

The Web Conference (WWW), 2021
15 February 2021
Lecheng Zheng
Y. Cheng
Hongxia Yang
Nan Cao
Jingrui He
ArXiv (abs)PDFHTML

Papers citing "Deep Co-Attention Network for Multi-View Subspace Learning"

14 / 14 papers shown
A Survey of Recent Advances and Challenges in Deep Audio-Visual Correlation LearningACM Computing Surveys (ACM CSUR), 2024
Luis Vilaca
Yi Yu
Paula Vinan
539
3
0
24 Nov 2024
Discovering Common Information in Multi-view Data
Discovering Common Information in Multi-view Data
Qi Zhang
Mingfei Lu
Shujian Yu
Jingmin Xin
Badong Chen
260
14
0
21 Jun 2024
Navigating Conflicting Views: Harnessing Trust for Learning
Navigating Conflicting Views: Harnessing Trust for Learning
Jueqing Lu
Lan Du
Wray Buntine
M. Jung
Joanna Dipnall
Lan Du
705
4
0
03 Jun 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng
Baoyu Jing
Zihao Li
Hanghang Tong
Jingrui He
VLM
315
42
0
30 Mar 2024
Multi-modal Causal Structure Learning and Root Cause Analysis
Multi-modal Causal Structure Learning and Root Cause Analysis
Lecheng Zheng
Zhengzhang Chen
Jingrui He
Haifeng Chen
159
8
0
04 Feb 2024
EVE: Efficient zero-shot text-based Video Editing with Depth Map
  Guidance and Temporal Consistency Constraints
EVE: Efficient zero-shot text-based Video Editing with Depth Map Guidance and Temporal Consistency ConstraintsInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Yutao Chen
Xingning Dong
Tian Gan
Chunluan Zhou
Ming-Hsuan Yang
Qingpei Guo
DiffM
253
6
0
21 Aug 2023
Fairness-aware Multi-view Clustering
Fairness-aware Multi-view ClusteringSDM (SDM), 2023
Lecheng Zheng
Yada Zhu
Jingrui He
279
12
0
11 Feb 2023
Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased
  Scene Graph Generation
Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph GenerationComputer Vision and Pattern Recognition (CVPR), 2022
Xingning Dong
Tian Gan
Xuemeng Song
Yue Yu
Yuan Cheng
Liqiang Nie
435
119
0
18 Mar 2022
Recent Advances and Challenges in Deep Audio-Visual Correlation Learning
Recent Advances and Challenges in Deep Audio-Visual Correlation Learning
Luís Vilacca
Yi Yu
Paula Viana
343
12
0
28 Feb 2022
Multimodal Co-learning: Challenges, Applications with Datasets, Recent
  Advances and Future Directions
Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future DirectionsInformation Fusion (Inf. Fusion), 2021
Anil Rahate
Rahee Walambe
S. Ramanna
K. Kotecha
504
182
0
29 Jul 2021
Multi-facet Contextual Bandits: A Neural Network Perspective
Multi-facet Contextual Bandits: A Neural Network PerspectiveKnowledge Discovery and Data Mining (KDD), 2021
Yikun Ban
Jingrui He
C. Cook
456
31
0
06 Jun 2021
Heterogeneous Contrastive Learning
Heterogeneous Contrastive LearningKnowledge Discovery and Data Mining (KDD), 2021
Lecheng Zheng
Jinjun Xiong
Yada Zhu
Jingrui He
235
26
0
19 May 2021
Adversarial Robustness through Bias Variance Decomposition: A New
  Perspective for Federated Learning
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated LearningInternational Conference on Information and Knowledge Management (CIKM), 2020
Yao Zhou
Jun Wu
Haixun Wang
Jingrui He
AAMLFedML
461
36
0
18 Sep 2020
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2017
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
1.5K
5,165
0
17 Feb 2017
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