Ferdous Sohel

Dr, BSc B'desh.Engin., PhD Monash

  • The University of Western Australia (M002), 35 Stirling Highway,

    6009 Perth

    Australia

  • 1612 Citations
  • 18 h-Index
20042019
If you made any changes in Pure these will be visible here soon.

Fingerprint Dive into the research topics where Ferdous Sohel is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles
Acoustics Engineering & Materials Science
Object recognition Engineering & Materials Science
Fusion reactions Engineering & Materials Science
Neural networks Engineering & Materials Science
Labeling Engineering & Materials Science
Labels Engineering & Materials Science
Biometrics Engineering & Materials Science
Reefs Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2004 2019

Acoustic Scene Classification Using Joint Time-Frequency Image-Based Feature Representations

Abidin, S., Togneri, R. & Sohel, F., 11 Feb 2019, Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance. IEEE, Institute of Electrical and Electronics Engineers, 8639164. (Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance).

Research output: Chapter in Book/Conference paperConference paper

Acoustics
Fusion reactions
Mathematical transformations

A Survey: Neural Network-Based Deep Learning for Acoustic Event Detection

Xia, X., Togneri, R., Sohel, F., Zhao, Y. & Huang, D., Aug 2019, In : Circuits, Systems, and Signal Processing. 38, 8, p. 3433-3453

Research output: Contribution to journalArticle

Event Detection
Acoustics
Neural Networks
Neural networks
Speech Processing

Deep learning for scene understanding

Nadeem, U., Shah, S. A. A., Sohel, F., Togneri, R. & Bennamoun, M., 19 Mar 2019, Handbook of deep learning applications. Balas, V. E., Roy, S. S., Sharma, D. & Samui, P. (eds.). Cham: Springer, p. 21-51 27 p. (Smart Innovation, Systems and Technologies; vol. 136).

Research output: Chapter in Book/Conference paperChapter

Computer vision
Neural networks
Network architecture
Hardware
Deep learning
Open Access
artificial intelligence
heart failure
Learning systems
Feature extraction
Heart Failure

Global regularizer and temporal-aware cross-entropy for skeleton-based early action recognition

Ke, Q., Liu, J., Bennamoun, M., Rahmani, H., An, S., Sohel, F. & Boussaid, F., 2019, Computer Vision – ACCV 2018 - 14th Asian Conference on Computer Vision, Revised Selected Papers. Mori, G., Li, H., Schindler, K. & Jawahar, C. V. (eds.). Springer-Verlag Berlin, p. 729-745 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11364 LNCS).

Research output: Chapter in Book/Conference paperConference paper

Cross-entropy
Action Recognition
Skeleton
Labels
Entropy

Projects 2008 2015