Zobrazeno 1 - 10
of 30
pro vyhledávání: '"SONGLONG XING"'
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 19:1-24
Multimodal sequence analysis aims to draw inferences from visual, language, and acoustic sequences. A majority of existing works focus on the aligned fusion of three modalities to explore inter-modal interactions, which is impractical in real-world s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44ee9cd3116d7de47f70ac467fe0c1a0
https://doi.org/10.1145/3542927
https://doi.org/10.1145/3542927
Publikováno v:
IEEE Transactions on Affective Computing. 13:1426-1439
In this paper, we address Emotion Recognition in Conversation (ERC) where conversational data are presented in a multimodal setting. Psychological evidence shows that self and inter-speaker influence are two central factors to emotion dynamics in con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61d7a320bb4ed40f05ce3c91a5494cff
https://doi.org/10.1109/taffc.2020.3005660
https://doi.org/10.1109/taffc.2020.3005660
Publikováno v:
IEEE Transactions on Affective Computing. 13:320-334
Multimodal human sentiment comprehension refers to recognizing human affection from multiple modalities. There exist two key issues for this problem. Firstly, it is difficult to explore time-dependent interactions between modalities and focus on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cb2879a2d38d305faa335a490f9f39b
https://doi.org/10.1109/taffc.2020.3000510
https://doi.org/10.1109/taffc.2020.3000510
Publikováno v:
IEEE Transactions on Multimedia. 24:2488-2501
Learning a unified embedding for utterance-level video attracts significant attention recently due to the rapid development of social media and its broad applications. An utterance normally contains not only spoken language but also the nonverbal beh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::547d2ef818383d46d4262d1c9ab3a025
https://doi.org/10.1109/tmm.2021.3082398
https://doi.org/10.1109/tmm.2021.3082398
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 29:1424-1437
The emotion of human is always expressed in a multimodal perspective. Analyzing multimodal human sentiment remains challenging due to the difficulties of the interpretation in inter-modality dynamics. Mainstream multimodal learning architectures tend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a35bb0762ff3a80883d0de30451c9021
https://doi.org/10.1109/taslp.2021.3068598
https://doi.org/10.1109/taslp.2021.3068598
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 16:1-18
Visual structure and syntactic structure are essential in images and texts, respectively. Visual structure depicts both entities in an image and their interactions, whereas syntactic structure in texts can reflect the part-of-speech constraints betwe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c9d3de46448c2cbfdab5b9f076b238a
https://doi.org/10.1145/3386725
https://doi.org/10.1145/3386725
Publikováno v:
IEEE Transactions on Multimedia. 22:122-137
In this paper, we propose a novel multimodal fusion framework, called the locally confined modality fusion network (LMFN), that contains a bidirectional multiconnected LSTM (BM-LSTM) to address the multimodal human affective computing problem. In the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82c3edfbdf1e855f3dfc2f270a5ea68a
https://doi.org/10.1109/tmm.2019.2925966
https://doi.org/10.1109/tmm.2019.2925966
Publikováno v:
ACM Transactions on Multimedia Computing, Communications & Applications; Jul2020, Vol. 16 Issue 3, p1-18, 18p
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society.
Recently, image prior learning has emerged as an effective tool for image denoising, which exploits prior knowledge to obtain sparse coding models and utilize them to reconstruct the clean image from the noisy one. Albeit promising, these prior-learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::517f3ce6c4824f3fc31ca55887105367
https://pubmed.ncbi.nlm.nih.gov/31976893
https://pubmed.ncbi.nlm.nih.gov/31976893
Publikováno v:
ACL (1)
Scopus-Elsevier
Scopus-Elsevier
We propose a general strategy named ‘divide, conquer and combine’ for multimodal fusion. Instead of directly fusing features at holistic level, we conduct fusion hierarchically so that both local and global interactions are considered for a compr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61d9357142386a38f79b7b504d902ff4
https://doi.org/10.18653/v1/p19-1046
https://doi.org/10.18653/v1/p19-1046