activity
20182022
most citedDrivers Drowsiness Detection using Condition-Adaptive Representation Learning Framework

125 citations · 142 across the 14 of their papers we have counts for

collaborators

20 papers

cs.CV2022

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,…

cs.CV20221 cited

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…

cs.CV2022

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…

cs.CV20213 cited

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…

cs.CV20214 cited

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…

cs.CV2021

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)…