An overview of research on" passive" brain-computer interfaces for implicit human-computer interaction
This paper surveys existing and past research on brain-computer interfaces (BCI) for implicit
human-computer interaction. A novel way of using BCI has indeed emerged, which …
human-computer interaction. A novel way of using BCI has indeed emerged, which …
Deep learning human mind for automated visual classification
What if we could effectively read the mind and transfer human visual capabilities to computer
vision methods? In this paper, we aim at addressing this question by developing the first …
vision methods? In this paper, we aim at addressing this question by developing the first …
Brain-inspired models for visual object recognition: an overview
Visual object recognition is one of the most fundamental and challenging research topics in
the field of computer vision. The research on the neural mechanism of the primates' …
the field of computer vision. The research on the neural mechanism of the primates' …
Hawkes processes for events in social media
This chapter provides an accessible introduction for point processes, and especially Hawkes
processes, for modeling discrete, inter-dependent events over continuous time. We start by …
processes, for modeling discrete, inter-dependent events over continuous time. We start by …
An attention-based bi-LSTM method for visual object classification via EEG
X Zheng, W Chen - Biomedical Signal Processing and Control, 2021 - Elsevier
Abstract Background and Objective Despite many models have been proposed for brain
visual perception and content understanding via electroencephalograms (EEGs), due to the …
visual perception and content understanding via electroencephalograms (EEGs), due to the …
Fusion of facial expressions and EEG for implicit affective tagging
S Koelstra, I Patras - Image and Vision Computing, 2013 - Elsevier
The explosion of user-generated, untagged multimedia data in recent years, generates a
strong need for efficient search and retrieval of this data. The predominant method for …
strong need for efficient search and retrieval of this data. The predominant method for …
Brain–Computer interface technologies in the coming decades
As the proliferation of technology dramatically infiltrates all aspects of modern life, in many
ways the world is becoming so dynamic and complex that technological capabilities are …
ways the world is becoming so dynamic and complex that technological capabilities are …
Deep learning for video classification and captioning
Deep learning for video classification and captioning Page 1 IPART MULTIMEDIA
CONTENT ANALYSIS Page 2 Page 3 1Deep Learning for Video Classification and …
CONTENT ANALYSIS Page 2 Page 3 1Deep Learning for Video Classification and …
Ensemble deep learning for automated visual classification using EEG signals
X Zheng, W Chen, Y You, Y Jiang, M Li, T Zhang - Pattern Recognition, 2020 - Elsevier
This paper proposes an automated visual classification framework in which a novel analysis
method (LSTMS-B) of EEG signals guides the selection of multiple networks that leads to the …
method (LSTMS-B) of EEG signals guides the selection of multiple networks that leads to the …
Decoding brain representations by multimodal learning of neural activity and visual features
This work presents a novel method of exploring human brain-visual representations, with a
view towards replicating these processes in machines. The core idea is to learn plausible …
view towards replicating these processes in machines. The core idea is to learn plausible …