About Me

I am a motivated researcher with a background in Electronic Engineering, Artificial intelligence, and Computer vision. My research interests focus on deep learning applications in object detection, monocular depth estimation, and Image segmentation, particularly their utilization in solving real-time industrial problems. 

Currently, I am pursuing my MS student in the Machine Intelligence Lab at Jeonbuk National University under the supervision of Prof. Sang Jun Lee, I am working on the development of a deep learning-based 3D object technology using only RGB images for optimizing industrial recycling  process. 

Passionate about advancing AI for real-world impact, I aim to contribute to cutting-edge research that bridges theory and application, with particular interest in sustainable technology, intelligent systems, and cross-disciplinary innovations.

Enhancing Anchor-based Lane Detection with Auxiliary Semantic Segmentation Supervision 

Proc. of the 25th International Conference on Control, Automation and Systems (ICCAS) 

Oyesetan Kolade, Sang Jun Lee