Search Results for author:
Found 21 papers, 8 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.
Mental Workload Estimation with Electroencephalogram Signals by Combining Multi-Space Deep Models
The human brain remains continuously active, whether an individual is working or at rest.
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.
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting
Nuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome.
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.
Korean Drama Scene Transcript Dataset for Emotion Recognition in Conversations
The Korean Drama Scene Transcript dataset for Emotion Recognition (KD-EmoR) is a text-based conversation dataset.
Ranked #1 on
Emotion Recognition in Conversation
on KD-EmoR
An Ensemble Approach for Multiple Emotion Descriptors Estimation Using Multi-task Learning
This paper illustrates our submission method to the fourth Affective Behavior Analysis in-the-Wild (ABAW) Competition.
A framework for model-assisted T x E x M exploration in maize
Breeding for new crop characteristics and adjusting management practices are critical avenues to mitigate yield loss and maintain yield stability under a changing climate.
An Ensemble Approach for Facial Expression Analysis in Video
First, we make new features; the Gated Recurrent Unit (GRU) and Transformer are combined using a Regular Networks (RegNet) feature, which is extracted from the image.
Facial Expression Classification using Fusion of Deep Neural Network in Video for the 3rd ABAW3 Competition
Fusion of the robust representations plays an important role in the expression classification task.
MF-Hovernet: An Extension of Hovernet for Colon Nuclei Identification and Counting (CoNiC) Challenge
Nuclei Identification and Counting is the most important morphological feature of cancers, especially in the colon.
Emotion Recognition with Incomplete Labels Using Modified Multi-task Learning Technique
In this study, we propose a method that utilizes the association between seven basic emotions and twelve action units from the AffWild2 dataset.
Variants of BERT, Random Forests and SVM approach for Multimodal Emotion-Target Sub-challenge
Emotion recognition has become a major problem in computer vision in recent years that made a lot of effort by researchers to overcome the difficulties in this task.
Pyramid With Super Resolution for In-the-Wild Facial Expression Recognition
Facial Expression Recognition (FER) is a challenging task that improves natural human-computer interaction.
Ranked #10 on
Facial Expression Recognition (FER)
on RAF-DB
(using extra training data)
Facial Expression Recognition
Facial Expression Recognition (FER)
+1
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.
Affective Expression Analysis in-the-wild using Multi-Task Temporal Statistical Deep Learning Model
Affective behavior analysis plays an important role in human-computer interaction, customer marketing, health monitoring.
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.
Maize yield under a changing climate: The hidden role of vapor pressure deficit
We used a coupled process-based crop (MAIZSIM) and soil (2DSOIL) model to gain a mechanistic understanding of the independent roles temperature and VPD play in crop yield projections, as well as their interactions with rising CO2 levels and changing precipitation patterns.
Automatic Whole-body Bone Age Assessment Using Deep Hierarchical Features
Bone age assessment gives us evidence to analyze the children growth status and the rejuvenation involved chronological and biological ages.
Hand Segmentation and Fingertip Tracking from Depth Camera Images Using Deep Convolutional Neural Network and Multi-task SegNet
Hand segmentation and fingertip detection play an indispensable role in hand gesture-based human-machine interaction systems.
Ranking Based Locality Sensitive Hashing Enabled Cancelable Biometrics: Index-of-Max Hashing
In this paper, we propose a ranking based locality sensitive hashing inspired two-factor cancelable biometrics, dubbed "Index-of-Max" (IoM) hashing for biometric template protection.
