Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning

Original language	English
Title of host publication	Computer Vision (ECCV 2020) Conference: Proceedings
Subtitle of host publication	Part XXIII
Publication status	Published - 2020
Event	European Conference on Computer Vision, 2020 - Glasgow, United Kingdom Duration: 23 Aug 2020 → …

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
ISSN (Print)	0302-9743

Conference

Conference	European Conference on Computer Vision, 2020
Country/Territory	United Kingdom
City	Glasgow
Period	23/08/2020 → …

Access to Document

• Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning

  © 2020 Springer. This work is made available online in accordance with the publisher’s policies. Please refer to any applicable terms of use of the publisher.

  Accepted author manuscript, 3.64 MBLicence: Unspecified

Student theses

• Learning with limited data and its applications on video understanding

  Wang, C. (Author), Wang, H. (Supervisor) & Hua, Y. (Supervisor), Dec 2023

  Student thesis: Doctoral Thesis › Doctor of Philosophy

  File

• Unsupervised visual domain adaptation by self-guided learning

  Gao, J. (Author), Hua, Y. (Supervisor) & Wang, H. (Supervisor), Dec 2022

  Student thesis: Doctoral Thesis › Doctor of Philosophy

  File

Profiles

• 

  Yang Hua

  • Y.Huaqub.acuk

  • School of Electronics, Electrical Engineering and Computer Science - Lecturer
  • Institute of Electronics, Communications & Information Technology

  Person: Academic

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Gao, J., Hua, Y., Hu, G., Wang, C., & Robertson, N. (2020). Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning. In Computer Vision (ECCV 2020) Conference: Proceedings: Part XXIII (Lecture Notes in Computer Science).

Gao, Jian ; Hua, Yang ; Hu, Guosheng et al. / Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning. Computer Vision (ECCV 2020) Conference: Proceedings: Part XXIII. 2020. (Lecture Notes in Computer Science).

@inproceedings{077af15af5c1475cbb7aa0140765f486,

title = "Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning",

author = "Jian Gao and Yang Hua and Guosheng Hu and Chi Wang and Neil Robertson",

year = "2020",

language = "English",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

booktitle = "Computer Vision (ECCV 2020) Conference: Proceedings",

note = "European Conference on Computer Vision, 2020 ; Conference date: 23-08-2020",

}

Gao, J, Hua, Y, Hu, G, Wang, C & Robertson, N 2020, Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning. in Computer Vision (ECCV 2020) Conference: Proceedings: Part XXIII. Lecture Notes in Computer Science, European Conference on Computer Vision, 2020, Glasgow, United Kingdom, 23/08/2020.

Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning. / Gao, Jian; Hua, Yang; Hu, Guosheng et al.
Computer Vision (ECCV 2020) Conference: Proceedings: Part XXIII. 2020. (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning

AU - Gao, Jian

AU - Hua, Yang

AU - Hu, Guosheng

AU - Wang, Chi

AU - Robertson, Neil

PY - 2020

Y1 - 2020

M3 - Conference contribution

T3 - Lecture Notes in Computer Science

BT - Computer Vision (ECCV 2020) Conference: Proceedings

T2 - European Conference on Computer Vision, 2020

Y2 - 23 August 2020

ER -

Gao J, Hua Y, Hu G, Wang C, Robertson N. Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning. In Computer Vision (ECCV 2020) Conference: Proceedings: Part XXIII. 2020. (Lecture Notes in Computer Science).