Mahdi Abolfazli Esfahani

Nanyang Technological University — Singapore

Engineering · Physical Sciences

14h-index670citations25works0.02yr avg
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Research Topics

Robotics and Sensor-Based Localization(13), Advanced Vision and Imaging(9), Robotic Path Planning Algorithms(8), Advanced Image and Video Retrieval Techniques(7), Reinforcement Learning in Robotics(4)

Publications25 total

iTD3-CLN: Learn to navigate in dynamic scene through Deep Reinforcement Learning
Neurocomputing·2022· 25 cited
ISAIR: Deep inpainted semantic aware image representation for background subtraction
Expert Systems with Applications·2022· 7 cited
Visual enhancement of single-view 3D point cloud reconstruction
Computers & Graphics·2022· 20 cited
Robust Glare Detection: Review, Analysis, and Dataset Release
arXiv (Cornell University)·2021· 7 citedOpen Access
Visual Enhanced 3D Point Cloud Reconstruction from A Single Image
arXiv (Cornell University)·2021· 1 citedOpen Access
Learn to Navigate Autonomously Through Deep Reinforcement Learning
IEEE Transactions on Industrial Electronics·2021· 53 cited
Learning to extract robust handcrafted features with a single observation via evolutionary neurogenesis
Applied Soft Computing·2021· 8 cited
World’s Emotional Response to Pandemic: Sentiment Analysis of Twitter Data During the COVID-19 Pandemic
Research Square (Research Square)·2021Open Access
Unsupervised Scene Categorization, Path Segmentation and Landmark Extraction while Traveling Path
2020· 6 cited
Unsupervised 3D Primitive Shape Detection using Mathematical Models
2020· 1 cited
Achieving Real-Time Path Planning in Unknown Environments Through Deep Neural Networks
IEEE Transactions on Intelligent Transportation Systems·2020· 58 cited
Resource management in the federated cloud environment using Cournot and Bertrand competitions
Future Generation Computer Systems·2020· 23 cited
OriNet: Robust 3-D Orientation Estimation With a Single Particular IMU
IEEE Robotics and Automation Letters·2019· 98 cited
BND*-DDQN: Learn to Steer Autonomously Through Deep Reinforcement Learning
IEEE Transactions on Cognitive and Developmental Systems·2019· 52 citedOpen Access
DeepDSAIR: Deep 6-DOF camera relocalization using deblurred semantic-aware image representation for large-scale outdoor environments
Image and Vision Computing·2019· 20 cited
Towards Utilizing Deep Uncertainty In Traditional SLAM
2019· 10 cited
AbolDeepIO: A Novel Deep Inertial Odometry Network for Autonomous Vehicles
IEEE Transactions on Intelligent Transportation Systems·2019· 108 cited
TDPP-Net: Achieving three-dimensional path planning via a deep neural network architecture
Neurocomputing·2019· 59 citedOpen Access
From Local Understanding to Global Regression in Monocular Visual Odometry
International Journal of Pattern Recognition and Artificial Intelligence·2019· 14 cited
Depth-based Obstacle Avoidance through Deep Reinforcement Learning
2019· 15 citedOpen Access
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Frequent Co-authors

Han Wang(19), Keyu Wu(15), Shenghai Yuan(14), Guiju Ping(3), Messiah Abolfazli Esfahani(2), Haoge Jiang(1), Kong-Wah Wan(1), Kuan-kian Heng(1), Xudong Jiang(1), Mahdi Alehdaghi(1), Ahad Harati(1), Neda Khorasani(1), Saeid Abrishami(1), Mehdi Feizi(1), Faeze Ramezani(1), Jiaying Chen(1), Benyamin Bashari(1), Hamid Reza Karbasian(1), Kyung Chung Kim(1), Ali Jamadi(1)