A fine-grained perspective onto object interactions from first-person views

Dima Damen*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

8 Downloads (Pure)

Abstract

This extended abstract summarises the relevant works to the keynote lecture at VISAPP 2019. The talk discusses understanding object interactions from wearable cameras, focusing on fine-grained understanding of interactions on realistic unbalanced datasets recorded in-the-wild.

Original languageEnglish
Title of host publicationVISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
EditorsAndreas Kerren, Christophe Hurter, Jose Braz
PublisherSciTePress
Pages11-13
Number of pages3
ISBN (Electronic)9789897583544
DOIs
Publication statusPublished - 25 Feb 2019
Event10th International Conference on Information Visualization Theory and Applications, IVAPP 2019 - Part of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019 - Prague, Czech Republic
Duration: 25 Feb 201927 Feb 2019

Publication series

NameAdvances in Intelligent Systems & Computing
PublisherSpringer Nature
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference10th International Conference on Information Visualization Theory and Applications, IVAPP 2019 - Part of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019
CountryCzech Republic
CityPrague
Period25/02/1927/02/19

Keywords

  • Action anticipation
  • Action completion
  • Action recognition
  • Egocentric vision
  • EPIC-kitchens
  • Fine-grained recognition
  • First-person datasets
  • First-person vision
  • Object interaction recognition
  • Skill determination
  • Wearable cameras

Fingerprint Dive into the research topics of 'A fine-grained perspective onto object interactions from first-person views'. Together they form a unique fingerprint.

  • Cite this

    Damen, D. (2019). A fine-grained perspective onto object interactions from first-person views. In A. Kerren, C. Hurter, & J. Braz (Eds.), VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (pp. 11-13). (Advances in Intelligent Systems & Computing). SciTePress. https://doi.org/10.5220/0008345900110013