Camera Model
Camera models are fundamental to computer vision, aiming to accurately represent how cameras capture and process light to form images. Current research focuses on improving robustness and accuracy in various applications, including depth estimation using multiple cameras and LiDAR, object detection and tracking, and mitigating adversarial attacks. These advancements are crucial for autonomous driving, robotics, surveillance, and other fields requiring reliable visual perception, driving progress in both theoretical understanding and practical deployment of vision systems.
Papers
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Solutions to Deepfakes: Can Camera Hardware, Cryptography, and Deep Learning Verify Real Images?
Alexander Vilesov, Yuan Tian, Nader Sehatbakhsh, Achuta Kadambi
DSLR: Document Refinement with Sentence-Level Re-ranking and Reconstruction to Enhance Retrieval-Augmented Generation
Taeho Hwang, Soyeong Jeong, Sukmin Cho, SeungYoon Han, Jong C. Park
July 3, 2024
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