125 citations · 340 across the 34 of their papers we have counts for
34 papers
Automated Taxi Booking Operations for Autonomous Vehicles
Linh Van Ma, Shoaib Azam, Farzeen Munir +1
In a conventional taxi booking system, all taxi operations are mostly done by a decision made by drivers which is hard to implement in unmanned vehicles. To address this challenge,…
Exploring Contextual Representation and Multi-Modality for End-to-End Autonomous Driving
Shoaib Azam, Farzeen Munir, Ville Kyrki +2
Learning contextual and spatial environmental representations enhances autonomous vehicle's hazard anticipation and decision-making in complex scenarios. Recent perception systems…
3D Convolutional with Attention for Action Recognition
Labina Shrestha, Shikha Dubey, Farrukh Olimov +2
Human action recognition is one of the challenging tasks in computer vision. The current action recognition methods use computationally expensive models for learning spatio-tempora…
Light Robust Monocular Depth Estimation For Outdoor Environment Via Monochrome And Color Camera Fusion
Hyeonsoo Jang, Yeongmin Ko, Younkwan Lee +1
Depth estimation plays a important role in SLAM, odometry, and autonomous driving. Especially, monocular depth estimation is profitable technology because of its low cost, memory,…
Multi-Modal Fusion for Sensorimotor Coordination in Steering Angle Prediction
Farzeen Munir, Shoaib Azam, Byung-Geun Lee +1
Imitation learning is employed to learn sensorimotor coordination for steering angle prediction in an end-to-end fashion requires expert demonstrations. These expert demonstrations…
Resolving Camera Position for a Practical Application of Gaze Estimation on Edge Devices
Linh Van Ma, Tin Trung Tran, Moongu Jeon
Most Gaze estimation research only works on a setup condition that a camera perfectly captures eyes gaze. They have not literarily specified how to set up a camera correctly for a…
Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning
Shraman Pal, Mansi Uniyal, Jihong Park +5
In recent years, there have been great advances in the field of decentralized learning with private data. Federated learning (FL) and split learning (SL) are two spearheads possess…
ARTSeg: Employing Attention for Thermal images Semantic Segmentation
Farzeen Munir, Shoaib Azam, Unse Fatima +1
The research advancements have made the neural network algorithms deployed in the autonomous vehicle to perceive the surrounding. The standard exteroceptive sensors that are utiliz…
Task-Driven Deep Image Enhancement Network for Autonomous Driving in Bad Weather
Younkwan Lee, Jihyo Jeon, Yeongmin Ko +2
Visual perception in autonomous driving is a crucial part of a vehicle to navigate safely and sustainably in different traffic conditions. However, in bad weather such as heavy rai…
Label-Attention Transformer with Geometrically Coherent Objects for Image Captioning
Shikha Dubey, Farrukh Olimov, Muhammad Aasim Rafique +2
Automatic transcription of scene understanding in images and videos is a step towards artificial general intelligence. Image captioning is a nomenclature for describing meaningful…
Advancing Autonomous Driving: DepthSense with Radar and Spatial Attention
Muhamamd Ishfaq Hussain, Zubia Naz, Muhammad Aasim Rafique +1
Depth perception is crucial for spatial understanding and has traditionally been achieved through stereoscopic imaging. However, the precision of depth estimation using stereoscopi…
SSTN: Self-Supervised Domain Adaptation Thermal Object Detection for Autonomous Driving
Farzeen Munir, Shoaib Azam, Moongu Jeon
The sensibility and sensitivity of the environment play a decisive role in the safe and secure operation of autonomous vehicles. This perception of the surrounding is way similar t…
Image Captioning using Multiple Transformers for Self-Attention Mechanism
Farrukh Olimov, Shikha Dubey, Labina Shrestha +2
Real-time image captioning, along with adequate precision, is the main challenge of this research field. The present work, Multiple Transformers for Self-Attention Mechanism (MTSM)…
Channel Boosting Feature Ensemble for Radar-based Object Detection
Shoaib Azam, Farzeen Munir, Moongu Jeon
Autonomous vehicles are conceived to provide safe and secure services by validating the safety standards as indicated by SOTIF-ISO/PAS-21448 (Safety of the intended functionality).…
LDNet: End-to-End Lane Marking Detection Approach Using a Dynamic Vision Sensor
Farzeen Munir, Shoaib Azam, Moongu Jeon +2
Modern vehicles are equipped with various driver-assistance systems, including automatic lane keeping, which prevents unintended lane departures. Traditional lane detection methods…
Imbalanced Image Classification with Complement Cross Entropy
Yechan Kim, Younkwan Lee, Moongu Jeon
Recently, deep learning models have achieved great success in computer vision applications, relying on large-scale class-balanced datasets. However, imbalanced class distributions…
Online Multi-Object Tracking and Segmentation with GMPHD Filter and Mask-based Affinity Fusion
Young-min Song, Young-chul Yoon, Kwangjin Yoon +3
In this paper, we propose a highly practical fully online multi-object tracking and segmentation (MOTS) method that uses instance segmentation results as an input. The proposed met…
Exploring Thermal Images for Object Detection in Underexposure Regions for Autonomous Driving
Farzeen Munir, Shoaib Azam, Muhammd Aasim Rafique +3
Underexposure regions are vital to construct a complete perception of the surroundings for safe autonomous driving. The availability of thermal cameras has provided an essential al…
N 2 C : Neural Network Controller Design Using Behavioral Cloning
Shoaib Azam, Farzeen Munir, Muhammad Aasim Rafique +3
Modern vehicles communicate data to and from sensors, actuators, and electronic control units (ECUs) using Controller Area Network (CAN) bus, which operates on differential signali…
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles
Younkwan Lee, Jihyo Jeon, Jongmin Yu +1
Traffic scene recognition, which requires various visual classification tasks, is a critical ingredient in autonomous vehicles. However, most existing approaches treat each relevan…
Predictively Encoded Graph Convolutional Network for Noise-Robust Skeleton-based Action Recognition
Jongmin Yu, Yongsang Yoon, Moongu Jeon
In skeleton-based action recognition, graph convolutional networks (GCNs), which model human body skeletons using graphical components such as nodes and connections, have achieved…
3D ResNet with Ranking Loss Function for Abnormal Activity Detection in Videos
Shikha Dubey, Abhijeet Boragule, Moongu Jeon
Abnormal activity detection is one of the most challenging tasks in the field of computer vision. This study is motivated by the recent state-of-art work of abnormal activity detec…
Unsupervised Pixel-level Road Defect Detection via Adversarial Image-to-Frequency Transform
Jongmin Yu, Duyong Kim, Younkwan Lee +1
In the past few years, the performance of road defect detection has been remarkably improved thanks to advancements on various studies on computer vision and deep learning. Althoug…
Key Points Estimation and Point Instance Segmentation Approach for Lane Detection
Yeongmin Ko, Younkwan Lee, Shoaib Azam +3
Perception techniques for autonomous driving should be adaptive to various environments. In the case of traffic line detection, an essential perception module, many condition shoul…