Search Results for author:
Found 12 papers, 1 papers with code
RBPGAN: Recurrent Back-Projection GAN for Video Super Resolution
Recently, video super resolution (VSR) has become a very impactful task in the area of Computer Vision due to its various applications.
Dynamic Conditional Imitation Learning for Autonomous Driving
Our experiments showed that our model improved consistency against weather conditions by four times and autonomous driving success rate generalization by 52%.
Lip-Listening: Mixing Senses to Understand Lips using Cross Modality Knowledge Distillation for Word-Based Models
In this work, we propose a technique to transfer speech recognition capabilities from audio speech recognition systems to visual speech recognizers, where our goal is to utilize audio data during lipreading model training.
Collision-Free Navigation using Evolutionary Symmetrical Neural Networks
The results are encouraging; the proposed method has improved the model's learning curve for training scenarios and generalization to the new test scenarios.
ASMDD: Arabic Speech Mispronunciation Detection Dataset
The largest dataset of Arabic speech mispronunciation detections in Egyptian dialogues is introduced.
An Evaluation of RGB and LiDAR Fusion for Semantic Segmentation
LiDARs and cameras are the two main sensors that are planned to be included in many announced autonomous vehicles prototypes.
Spatio-Temporal Attention Mechanism and Knowledge Distillation for Lip Reading
Despite the advancement in the domain of audio and audio-visual speech recognition, visual speech recognition systems are still quite under-explored due to the visual ambiguity of some phonemes.
Pervasive Hand Gesture Recognition for Smartphones using Non-audible Sound and Deep Learning
The third method adopts late fusion by having two convectional input branches processing each of the dual-channel spectrograms and then the outputs are merged by the last layers.
End-to-end sensor modeling for LiDAR Point Cloud
The major problem with such approaches is that the amount of training data required for generalizing a machine learning model is big, and on the other hand LiDAR data annotation is very costly compared to other car sensors.
Driver Distraction Identification with an Ensemble of Convolutional Neural Networks
The World Health Organization (WHO) reported 1. 25 million deaths yearly due to road traffic accidents worldwide and the number has been continuously increasing over the last few years.
End-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies
Steering a car through traffic is a complex task that is difficult to cast into algorithms.
Real-time Distracted Driver Posture Classification
In this paper, we present a new dataset for "distracted driver" posture estimation.
