Camera Lens
Camera lenses, in their broadest sense, are systems for focusing light to form images, impacting diverse fields from autonomous driving to artistic expression and even large language model (LLM) development. Current research focuses on improving image quality through computational aberration correction and depth-of-field control, often employing novel architectures like diffusion models and leveraging techniques from Riemannian geometry and network flows for enhanced performance. These advancements are crucial for improving the accuracy and reliability of computer vision systems, enabling new applications in various domains, and furthering our understanding of complex data representations.
Papers
Identifying gender bias in blockbuster movies through the lens of machine learning
Muhammad Junaid Haris, Aanchal Upreti, Melih Kurtaran, Filip Ginter, Sebastien Lafond, Sepinoud Azimi
Computational Imaging for Machine Perception: Transferring Semantic Segmentation beyond Aberrations
Qi Jiang, Hao Shi, Shaohua Gao, Jiaming Zhang, Kailun Yang, Lei Sun, Huajian Ni, Kaiwei Wang