Home /
Research
Showing 499 - 504 / 897
Direction-of-Voice (DoV) Estimation for Intuitive Speech Interaction with Smart Devices Ecosystems
KaranAhuja, AndyKong, MayankGoel....
Published date-11/15/2020
SpeakerOrientation
Future homes and offices will feature increasingly dense ecosystems of IoT devices, such as smart lighting, speakers, and domestic appliances. Voice input is a natural candidate for interacting with out-of-reach …
Automated Intersection Management with MiniZinc
Md.MushfiqurRahman, NahianMuhtasimZahin, KaziRaiyanMahmud....
Published date-11/15/2020
Ill-managed intersections are the primary reasons behind the increasing traffic problem in urban areas, leading to nonoptimal traffic-flow and unnecessary deadlocks. In this paper, we propose an automated intersection management …
Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and Benchmarking
FabioPardo....
Published date-11/15/2020
ContinuousControl, OpenAIGym
Deep reinforcement learning has been one of the fastest growing fields of machine learning over the past years and numerous libraries have been open sourced to support research. However, most …
Data-efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions
JiananWang, BoyangLi, XiangyuFan....
Published date-11/15/2020
The task of video and text sequence alignment is a prerequisite step toward joint understanding of movie videos and screenplays. However, supervised methods face the obstacle of limited realistic training …
Discovering long term dependencies in noisy time series data using deep learning
AlexeyKurochkin....
Published date-11/15/2020
TimeSeries
Time series modelling is essential for solving tasks such as predictive maintenance, quality control and optimisation. Deep learning is widely used for solving such problems. When managing complex manufacturing process …
AmphibianDetector: adaptive computation for moving objects detection
DavidSvitov, SergeyAlyamkin....
Published date-11/15/2020
ObjectDetection
Convolutional neural networks (CNN) allow achieving the highest accuracy for the task of object detection in images. Major challenges in further development of object detectors are false-positive detections and high …