Emre Akbas

Also published under:Emre Akbaş, E. Akbas

Affiliation

Department of Computer Engineering, Middle East Technical University, Ankara, Turkey
METU ROMER Robotics Center, Middle East Technical University, Ankara, Turkey

Topic

Keypoint Detection,Object Detection,Average Precision,Human Pose Estimation,Instance Segmentation,Object Detection Task,Pose Estimation,RGB Images,Visual Detection Task,2D Keypoints,3D Body,3D Data,3D Mesh,3D Object Detection,Adaptation Process,Adversarial Domain Adaptation,Aspects Of Function,Average Error,Bottom-up Approach,Bottom-up Methods,Bounding Box,COCO Dataset,Class Balance,Classification Head,Computer Vision Problems,Confidence Score,Cross-entropy,Cross-entropy Loss,Data Augmentation,Data Visualization,Dense Correspondence,Detection Performance,Detection Task,Detection Uncertainty,Dice Loss,Dilated Convolution,Domain Adaptation,Domain Adaptation Methods,Edge Detection,Edge Pixels,False Negative,False Negative Rate,False Positive,False Positive Rate,Feature Maps,Feature Pyramid Network,Gradient Penalty,Ground Truth Labels,Ground Truth Set,Hough Transform,

Biography

Emre Akbas received the BSc and MSc degrees in computer engineering from Middle East Technical University (METU), and the PhD degree in electrical and computer engineering from the University of Illinois at Urbana-Champaign. He is currently an assistant professor at the Department of Computer Engineering, METU. Prior to joining METU, he was a postdoctoral research associate at the Department of Psychological and Brain Sciences, University of California, Santa Barbara. His research interests include computer vision and machine learning with a focus on object detection and human pose estimation.