2 papers
cs.CV2025
RQR3D: Reparametrizing the regression targets for BEV-based 3D object detection
Ozsel Kilinc, Cem Tarhan
Accurate, fast, and reliable 3D perception is essential for autonomous driving. Recently, bird's-eye view (BEV)-based perception approaches have emerged as superior alternatives to…
cs.LG2018
Convolutional Neural Networks Analyzed via Inverse Problem Theory and Sparse Representations
Cem Tarhan, Gozde Bozdagi Akar
Inverse problems in imaging such as denoising, deblurring, superresolution (SR) have been addressed for many decades. In recent years, convolutional neural networks (CNNs) have bee…