Zobrazeno 1 - 10
of 16
pro vyhledávání: '"A. Sophia Koepke"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200434
Computer Vision--ECCV 2022
Lecture Notes in Computer Science
Computer Vision--ECCV 2022
Lecture Notes in Computer Science
Audio-visual generalised zero-shot learning for video classification requires understanding the relations between the audio and visual information in order to be able to recognise samples from novel, previously unseen classes at test time. The natura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d7ede871d2767fd9c52a663b6a7ea14
http://arxiv.org/abs/2207.09966
http://arxiv.org/abs/2207.09966
Publikováno v:
xxAI-Beyond Explainable AI ISBN: 9783031040825
xxAI--Beyond Explainable AI
Lecture Notes in Artificial Intelligence
xxAI--Beyond Explainable AI
Lecture Notes in Artificial Intelligence
Providing explanations in the context of Visual Question Answering (VQA) presents a fundamental problem in machine learning. To obtain detailed insights into the process of generating natural language explanations for VQA, we introduce the large-scal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::402004322a2cf1319d084b75573070e1
https://doi.org/10.1007/978-3-031-04083-2_5
https://doi.org/10.1007/978-3-031-04083-2_5
Publikováno v:
CVPR
IEEE/CVF Conference on Computer Vision and Pattern Recognition
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
IEEE/CVF Conference on Computer Vision and Pattern Recognition
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Having access to multi-modal cues (e.g. vision and audio) empowers some cognitive tasks to be done faster compared to learning from a single modality. In this work, we propose to transfer knowledge across heterogeneous modalities, even though these d
Publikováno v:
Interspeech 2021
We consider the task of retrieving audio using free-form natural language queries. To study this problem, which has received limited attention in the existing literature, we introduce challenging new benchmarks for text-based audio retrieval using te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4e3a7fa59d2365c08e5484fdd228e61
Publikováno v:
ICASSP
Automatic music transcription has primarily focused on transcribing audio to a symbolic music representation (e.g. MIDI or sheet music). However, audio-only approaches often struggle with polyphonic instruments and background noise. In contrast, visu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b3322d1728829f3efa30e5637f5fa53
https://doi.org/10.1109/icassp40776.2020.9053115
https://doi.org/10.1109/icassp40776.2020.9053115
Publikováno v:
ICCV Workshops
This work explores how to use self-supervised learning on videos to learn a class-specific image embedding that encodes pose and shape information. At train time, two frames of the same video of an object class (e.g. human upper body) are extracted a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f08acd4e9ec9c57072c8012c3df290d3
http://arxiv.org/abs/1910.12699
http://arxiv.org/abs/1910.12699
Publikováno v:
Computer Vision – ECCV 2018 ISBN: 9783030012601
ECCV (13)
ECCV (13)
The objective of this paper is a neural network model that controls the pose and expression of a given face, using another face or modality (e.g. audio). This model can then be used for lightweight, sophisticated video and image editing. We make the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea7369ebe1fa09e02f2af93a6f98e2c8
https://doi.org/10.1007/978-3-030-01261-8_4
https://doi.org/10.1007/978-3-030-01261-8_4
Akademický článek
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Conference
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Conference
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