Conference item
EPIC-fusion: audio-visual temporal binding for egocentric action recognition
- Abstract:
-
We focus on multi-modal fusion for egocentric action recognition, and propose a novel architecture for multimodal temporal-binding, i.e. the combination of modalities within a range of temporal offsets. We train the architecture with three modalities - RGB, Flow and Audio - and combine them with mid-level fusion alongside sparse temporal sampling off used representations. In contrast with previous works, modalities are fused before temporal aggregation, with shared modality and fusion weights...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Bibliographic Details
- Publisher:
- Institute of Electrical and Electronics Engineers Publisher's website
- Host title:
- 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
- Pages:
- 5491-5500
- Publication date:
- 2020-02-27
- Acceptance date:
- 2019-07-22
- Event title:
- 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
- Event location:
- Seoul, South Korea
- Event website:
- (http://iccv2019.thecvf.com/
- Event start date:
- 2019-10-27
- Event end date:
- 2019-11-02
- DOI:
- EISSN:
-
2380-7504
- ISSN:
-
1550-5499
- EISBN:
- 9781728148038
- ISBN:
- 9781728148045
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:1060199
- UUID:
-
uuid:4c4ef89e-4342-46d2-924a-3819443dfff9
- Local pid:
- pubs:1060199
- Source identifiers:
-
1060199
- Deposit date:
- 2019-10-04
Terms of use
- Copyright holder:
- Institute of Electrical and Electronics Engineers
- Copyright date:
- 2020
- Rights statement:
- © 2019 IEEE.
- Notes:
- This conference paper was presented at the International Conference on Computer Vision (ICCV 2019), 27 Oct-2 Nov 2019, Seoul, South Korea. This is the accepted manuscript version of the article. The final version is available online from Institute of Electrical and Electronics Engineers at: https://doi.org/10.1109/ICCV.2019.00559
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