Search Results for author:
Found 12 papers, 5 papers with code
HSEmotion Team at the 6th ABAW Competition: Facial Expressions, Valence-Arousal and Emotion Intensity Prediction
This article presents our results for the sixth Affective Behavior Analysis in-the-wild (ABAW) competition.
EmotiEffNet Facial Features in Uni-task Emotion Recognition in Video at ABAW-5 competition
In this article, the results of our team for the fifth Affective Behavior Analysis in-the-wild (ABAW) competition are presented.
HSE-NN Team at the 4th ABAW Competition: Multi-task Emotion Recognition and Learning from Synthetic Images
In the learning from synthetic data challenge, the quality of the original synthetic training set is increased by using the super-resolution techniques, such as Real-ESRGAN.
Frame-level Prediction of Facial Expressions, Valence, Arousal and Action Units for Mobile Devices
In this paper, we consider the problem of real-time video-based facial emotion analytics, namely, facial expression recognition, prediction of valence and arousal and detection of action unit points.
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks
In this paper, the multi-task learning of lightweight convolutional neural networks is studied for face identification and classification of facial attributes (age, gender, ethnicity) trained on cropped faces without margins.
Event Recognition with Automatic Album Detection based on Sequential Processing, Neural Attention and Image Captioning
However, it is possible to combine our approach with conventional CNNs in an ensemble to provide the state-of-the-art results for several event datasets.
Compression of Recurrent Neural Networks for Efficient Language Modeling
We propose a general pipeline for applying the most suitable methods to compress recurrent neural networks for language modeling.
Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN
We modified the MobileNet, which is preliminarily trained to perform face recognition, in order to additionally recognize age and gender.
Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networks
In this paper we propose the two-stage approach of organizing information in video surveillance systems.
Group-level Emotion Recognition using Transfer Learning from Face Identification
In this paper, we describe our algorithmic approach, which was used for submissions in the fifth Emotion Recognition in the Wild (EmotiW 2017) group-level emotion recognition sub-challenge.
Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition
The paper deals with the still-to-video face recognition for the small sample size problem based on computation of distances between high-dimensional deep bottleneck features.
Neural Networks Compression for Language Modeling
In this paper, we consider several compression techniques for the language modeling problem based on recurrent neural networks (RNNs).
