Tong Shi
Email: 2431206s@student.gla.ac.uk
Google Scholar: Google Scholar
Research title: Deep Learning based Audio-Visual Emotion Recognition to Enhance Human-Robot Interaction
Research Summary
I am focusing on 3D reconstruction and Animation.
This entails exploring: (1) Generation and manipulation of 3D and 4D visual data by using 2D images. (2) Use synthetic and distilled data from priors (3) Animating of Avatars (Human faces, Full body humans, Animals)
Publications
List by: Type | Date
Number of items: 1.
2024
Shi, Tong, Ge, Xuri, Jose, Joemon M.
ORCID: https://orcid.org/0000-0001-9228-1759, Pugeault, Nicolas
ORCID: https://orcid.org/0000-0002-3455-6280 and Henderson, Paul
ORCID: https://orcid.org/0000-0002-5198-7445
(2024)
Detail-enhanced intra- and inter-modal interaction for audio-visual emotion recognition.
In: Antonacopoulos, Apostolos, Chaudhuri, Subhasis, Chellappa, Rama, Liu, Cheng-Lin, Bhattacharya, Saumik and Pal, Umapada (eds.)
Pattern Recognition: 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XXI.
Series: Lecture notes in computer science (15321).
Springer, pp. 451-465.
ISBN 9783031783050
(doi: 10.1007/978-3-031-78305-0_29)
This list was generated on Wed Aug 27 11:35:57 2025 BST.
Number of items: 1.
Book Sections
Shi, Tong, Ge, Xuri, Jose, Joemon M.
ORCID: https://orcid.org/0000-0001-9228-1759, Pugeault, Nicolas
ORCID: https://orcid.org/0000-0002-3455-6280 and Henderson, Paul
ORCID: https://orcid.org/0000-0002-5198-7445
(2024)
Detail-enhanced intra- and inter-modal interaction for audio-visual emotion recognition.
In: Antonacopoulos, Apostolos, Chaudhuri, Subhasis, Chellappa, Rama, Liu, Cheng-Lin, Bhattacharya, Saumik and Pal, Umapada (eds.)
Pattern Recognition: 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XXI.
Series: Lecture notes in computer science (15321).
Springer, pp. 451-465.
ISBN 9783031783050
(doi: 10.1007/978-3-031-78305-0_29)
This list was generated on Wed Aug 27 11:35:57 2025 BST.
Additional Information
Happy to have any collaboration or discussion in any computer vision research field, if you are serious!