Search Results for author:
Found 6 papers, 4 papers with code
DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation
Conversational engagement estimation is posed as a regression problem, entailing the identification of the favorable attention and involvement of the participants in the conversation.
Multi-scale Transformer-based Network for Emotion Recognition from Multi Physiological Signals
This paper presents an efficient Multi-scale Transformer-based approach for the task of Emotion recognition from Physiological data, which has gained widespread attention in the research community due to the vast amount of information that can be extracted from these signals using modern sensors and machine learning techniques.
Vision Transformer for Action Units Detection
Facial Action Units detection (FAUs) represents a fine-grained classification problem that involves identifying different units on the human face, as defined by the Facial Action Coding System.
Generic Event Boundary Detection in Video with Pyramid Features
In this study, we present an approach that considers the correlation between neighbor frames with pyramid feature maps in both spatial and temporal dimensions to construct a framework for localizing generic events in video.
The 1st Agriculture-Vision Challenge: Methods and Results
The first Agriculture-Vision Challenge aims to encourage research in developing novel and effective algorithms for agricultural pattern recognition from aerial images, especially for the semantic segmentation task associated with our challenge dataset.
Eye Semantic Segmentation with a Lightweight Model
In this paper, we present a multi-class eye segmentation method that can run the hardware limitations for real-time inference.
