FPAs are image sensors that convert infrared light into electrical signals to produce real-time thermal images and are widely ...
Abstract: Contemporary deep learning approaches for optical flow estimation continue to face persistent challenges in model interpretability, generalization capacity, and deployment efficiency, ...
McGill University researchers have developed a light-detecting nanoscale structure that mimics how a neuron processes ...
Abstract: The sparse optical flow method is a fundamental task in computer vision. However, its reliance on the assumption of constant environmental brightness constrains its applicability in high ...
[CVPR2024] The official implementation of "MoCha-Stereo: Motif Channel Attention Network for Stereo Matching”. & [arXiv] The official implementation of "Motif Channel Opened in a White-Box: Stereo … ...