Search Results for author:
Found 15 papers, 4 papers with code
Responsible AI: Gender bias assessment in emotion recognition
Evolution of facial expression recognition from the feature based methods to deep learning drastically improve quality of such algorithms.
Ensemble approach for detection of depression using EEG features
Depression is a public health issue which severely affects one's well being and cause negative social and economic effect for society.
Comprehensive Empirical Evaluation of Deep Learning Approaches for Session-based Recommendation in E-Commerce
In this work, we present a comprehensive evaluation of the state-of-the-art deep learning approaches used in the session-based recommendation.
ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition
The ChaLearn large-scale gesture recognition challenge has been run twice in two workshops in conjunction with the International Conference on Pattern Recognition (ICPR) 2016 and International Conference on Computer Vision (ICCV) 2017, attracting more than $200$ teams round the world.
On the effect of age perception biases for real age regression
Our model outperformed a state-of-the-art architecture proposed to separately address apparent and real age regression.
From 2D to 3D Geodesic-based Garment Matching
A new approach for 2D to 3D garment retexturing is proposed based on Gaussian mixture models and thin plate splines (TPS).
Doubly Attentive Transformer Machine Translation
In this paper a doubly attentive transformer machine translation model (DATNMT) is presented in which a doubly-attentive transformer decoder normally joins spatial visual features obtained via pretrained convolutional neural networks, conquering any gap between image captioning and translation.
3D Scanning: A Comprehensive Survey
Throughout the paper, various types of the related techniques are reviewed, which consist, mainly, of close-range, aerial, structure-from-motion and terrestrial photogrammetry, and mobile, terrestrial and airborne laser scanning, as well as time-of-flight, structured-light and phase-comparison methods, along with comparative and combinational studies, the latter being intended to help make a clearer distinction on the relevance and reliability of the possible choices.
Survey on Emotional Body Gesture Recognition
Automatic emotion recognition has become a trending research topic in the past decade.
Cultural Vocal Bursts Intensity Prediction
Emotion Recognition
+5
3D Face Reconstruction with Region Based Best Fit Blending Using Mobile Phone for Virtual Reality Based Social Media
We also present a method of texturing the resulting model, where the aforementioned feature points are used to generate a texture for the resulting model
Automatic Recognition of Facial Displays of Unfelt Emotions
Performance of the proposed model shows that on average it is easier to distinguish among genuine facial expressions of emotion than among unfelt facial expressions of emotion and that certain emotion pairs such as contempt and disgust are more difficult to distinguish than the rest.
Image Resolution Enhancement by Using Interpolation Followed by Iterative Back Projection
In this paper, we propose a new super resolution technique based on the interpolation followed by registering them using iterative back projection (IBP).
HSI based colour image equalization using iterative nth root and nth power
In this paper an equalization technique for colour images is introduced.
Face recognition using color local binary pattern from mutually independent color channels
In this paper, a high performance face recognition system based on local binary pattern (LBP) using the probability distribution functions (PDF) of pixels in different mutually independent color channels which are robust to frontal homogenous illumination and planer rotation is proposed.
