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20182025
most citedDrivers Drowsiness Detection using Condition-Adaptive Representation Learning Framework

125 citations · 142 across the 15 of their papers we have counts for

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19 papers · 1 filter

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)…