Video transformers: A survey
Transformer models have shown great success handling long-range interactions, making
them a promising tool for modeling video. However, they lack inductive biases and scale …
them a promising tool for modeling video. However, they lack inductive biases and scale …
Deep personality trait recognition: a survey
X Zhao, Z Tang, S Zhang - Frontiers in Psychology, 2022 - frontiersin.org
Automatic personality trait recognition has attracted increasing interest in psychology,
neuropsychology, and computer science, etc. Motivated by the great success of deep …
neuropsychology, and computer science, etc. Motivated by the great success of deep …
Learning person-specific cognition from facial reactions for automatic personality recognition
This article proposes to recognise the true (self-reported) personality traits from the target
subject's cognition simulated from facial reactions. This approach builds on the following two …
subject's cognition simulated from facial reactions. This approach builds on the following two …
Chalearn LAP challenges on self-reported personality recognition and non-verbal behavior forecasting during social dyadic interactions: Dataset, design, and results
This paper summarizes the 2021 ChaLearn Looking at People Challenge on Understanding
Social Behavior in Dyadic and Small Group Interactions (DYAD), which featured two tracks …
Social Behavior in Dyadic and Small Group Interactions (DYAD), which featured two tracks …
Learning personalised models for automatic self-reported personality recognition
Previous research has revealed differences in personality traits among different genders,
age groups, and even cultures. However, existing methods have focused on one-fits-all …
age groups, and even cultures. However, existing methods have focused on one-fits-all …
An open-source benchmark of deep learning models for audio-visual apparent and self-reported personality recognition
Personality determines a wide variety of human daily and working behaviours, and is crucial
for understanding human internal and external states. In recent years, a large number of …
for understanding human internal and external states. In recent years, a large number of …
in2IN: Leveraging individual Information to Generate Human INteractions
Generating human-human motion interactions conditioned on textual descriptions is a very
useful application in many areas such as robotics gaming animation and the metaverse …
useful application in many areas such as robotics gaming animation and the metaverse …
Multi-modal transformer using two-level visual features for fake news detection
B Wang, Y Feng, X Xiong, Y Wang, B Qiang - Applied Intelligence, 2023 - Springer
Fake news with multimedia data is ubiquitous on the Internet nowadays, and it is difficult for
users to distinguish them. Therefore, it is necessary to design automatic multi-modal fake …
users to distinguish them. Therefore, it is necessary to design automatic multi-modal fake …
Gated Siamese Fusion Network based on multimodal deep and hand-crafted features for personality traits assessment
People tend to judge others assessing their personality traits relying on life experience. This
fact is especially evident when making an informed hiring decision, which should consider …
fact is especially evident when making an informed hiring decision, which should consider …
Learning graph representation of person-specific cognitive processes from audio-visual behaviours for automatic personality recognition
This approach builds on two following findings in cognitive science:(i) human cognition
partially determines expressed behaviour and is directly linked to true personality traits; and …
partially determines expressed behaviour and is directly linked to true personality traits; and …