Venue: FG 2018, Xi'an, China https://fg2018.cse.sc.edu/
Paper Title: Human Behaviour-based Automatic Depression Analysis using Hand-crafted Statistics and Deep Learned Spectral Features
Motivation: The work presented in this paper is the extension of my CDT PLP module. During the PLP, we found that current clinical standards for depression assessment are subjective, and requires extensive participation from experienced psychologists. Therefore, my supervisor (Dr. Michel Valstar) and I explored a video-based automatic depression analysis approach, and find our approach beat state of the art systems in a dataset. As a result, we decided to write a paper about this approach.
Process of paper preparation: This bulk of the paper was written by me. Since I didn't have much experience about writing paper at that point, my supervisor helped and taught me about how to organize a paper, as well as how to implement ablation studies to show the strengths of the proposed approach. In addition, my external partner (Prof. Linlin Shen) also helped me to check the typos and languages. After, several rounds improvement, we eventually submitted the paper to FG conference which focus on the automatic face and gesture analysis.
Details of process of responding to reviewers’ comments: Three months after the submission, we received the reviewers comments, where two of them gave 'weak accept' and two of them gave 'borderline'. In the rebuttal, we addressed issues one by one. For some real drawbacks, we made some changes. Also, some comments were gave due to the misunderstanding of the paper. To deal with them, we detailed explained in the rebuttal.
Posters:
Role of paper within PhD: This study is the basis of my PhD study. Based on this work, while we continuously developing a better model for practical use, we also looking to other temporal modeling methods. Following activities Building several models for not only depression analysis, but also personality traits and anxiety analysis. Ppaer Link: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8373825 http://eprints.nottingham.ac.uk/51476/1/human-behaviour-based%20camera%20ready.pdf Code Link: https://github.com/SSYSteve/Human-behaviour-based-depression-analysis-using-hand-crafted-statistics-and-deep-learned PS: Due to the limited pages, the paper is not perfect and explained in detalis. More details and experiments (including well organized code) will be available in the Journal version paper (available soon).