* Victor Ponce Lopez, Baiyu Chen, Albert Places, Marc Oliu, Ciprian Corneanu, Xavier Baro, Hugo Jair Escalante, Isabelle Guyon, Sergio Escalera. ChaLearn LAP 2016: First Round Challenge on First Impressions - Dataset and Results. ChaLearn Looking at People Workshop on Apparent Personality Analysis, ECCV Workshop proceedings, LNCS, Springer, 2016, in press.
* 1st place.
Chen-Lin Zhang, Hao Zhang, Xiu-Shen Wei and Jianxin Wu. Deep Bimodal Regression for Apparent Personality Analysis. ChaLearn Looking at People Workshop on Apparent Personality Analysis, ECCV Workshop proceedings, LNCS, Springer, 2016, in press.
* 2nd place.
Arulkumar Subramaniam, Vismay Patel, Ashish Mishra, Prashanth Balasubramanian, Anurag Mittal. Bi-modal First Impressions Recognition usingTemporally Ordered Deep Audio and StochasticVisual Features. ChaLearn Looking at People Workshop on Apparent Personality Analysis, ECCV Workshop proceedings, LNCS, Springer, 2016, in press.
* 3rd place, in press.
Yağmur Güçlütürk, Umut Güçlü, Marcel van Gerven, Rob van Lier. Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition. ChaLearn Looking at People Workshop on Apparent Personality Analysis, ECCV Workshop proceedings, LNCS, Springer, 2016, in press.
University of Amsterdam, Amsterdam, Netherlands
9th October, 2016
ChaLearn organizes for ECCV2016 Workshop on Apparent Personality Analysis and a quantitative challenge on First Impressions recognition. The proposed workshop aims at studying all aspects of computer vision and pattern recognition devoted to the analysis of human personality from images and videos. Co-located with the workshop there is a challenge on first impressions, that is, recognizing personality traits for users after seeing a short video.
Workshop/challenge participants will be invited to submit revised and extended versions of their papers to be considered for publication in a
Special Issue on Personality Analysis in the IEEE Transactions on Affecfive Computing
Please refer to the SI site for more details.
Workshop on Apparent Personality Analysis: Personality refers to individual differences in characteristic patterns of thinking, feeling and behaving. Characterizing personality automatically from video analysis is far from being a trivial task because perceiving personality traits is not easy even to humans, unless they are professionally trained (psychologists, recruiting specialists). Additionally, many personality traits are not precisely defined and there is no consensus among psychologists about how to capture them accurately, e.g. via standardized tests. We are organizing a workshop that will compile state of the art on all areas of automatic analysis of personality from a computer vision perspective.
Preliminary workshop program:
Important dates (Workshop):
Please refer to the workshop section for more details.
First impressions challenge
Co-located with the workshop we are organizing a challenge on “first impressions”, in which participants will develop solutions for recognizing personality traits of users in short video sequences. We will make available a large newly collected data set sponsored by Microsoft of at least 10,000 15-second videos collected from YouTube, annotated with personality traits by AMT workers. The traits will correspond to the “big five” personality traits used in psychology and well known of hiring managers using standardized personality profiling: Extroversion, agreeableness, conscientiousness, neuroticism, and openness to experience. As is known, the first impression made is highly important in many contexts, such as human resourcing or job interviews. This work could become very relevant to training young people to present themselves better by changing their behavior in simple ways. The participants who obtain the best results in the challenge will be invited to submit a paper to the workshop.
Please refer to the data and description section for more details.
Table 1. Sample videos that will be used for the first impression challenge.
Top three ranked participants of the challenge will receive a prize as follows (estimated, it depends on the available budget):
in addition top ranked participants will be invited to follow the workshop submission guide for inclusion of a description of their system at the ECCV 2016 workshop proceedings, participants of the workshop or challenge will be invited to submit revised and extended versions of their papers to be considered for publication in a special issue on personality analysis in the IEEE Transactions on Affecfive Computing.
Important dates (quantitative challenge):
Winners for the first round competition @ ECCV:
1st: Team NJU-LAMDA
2nd: Team evolgen
3rd: Team DCC
Winners for the second round coopetition @ ICPR:
1st: Team BU-NKU
2nd: Team evolgen
3rd: Team pandora
ChaLearn LAP 2016: First Round Challenge on First Impressions - Dataset and Results. V. Ponce-López, B. Chen, M. Oliu, C. Cornearu, A. Clapés, I. Guyon, X. Baró, H.J. Escalante, S. Escalera. ECCV 2016, In press.
Overcoming Calibration Problems in Pattern Labeling with Pairwise Ratings: Application to Personality Traits.
Baiyu Chen, Sergio Escalera, Isabelle Guyon, Victor Ponce-Lopez, Nihar Shah, Marc Oliu Simon. ChaLearn Looking at People Workshop on Apparent Personality Analysis. ECCV, 2016
, In press.
We are very grateful with our sponsors: