Neurohive — CV papers

3D face geometry needs to be recovered from 2D images in many real-world applications, including face recognition, face landmark detection…

Robotics, augmented reality, autonomous driving — all these scenarios rely on recognizing 3D properties of objects from 2D images. This…

Human pose estimation is another fundamental problem in computer vision. Computer’s ability to recognize and understand humans in images…

Object tracking in the wild is far from being solved. Existing object trackers do quite a good job on the established datasets (e.g., VOT…

Action recognition is vital for many real-life applications, including video surveillance, healthcare, and human-computer interaction…

Face recognition is a common task in deep learning and convolutional neural networks (CNNs) are doing a pretty good job here. I guess…

The performance of the most facial analysis techniques relies on the resolution of the corresponding image. Face alignment or face…

Generative Models are drawing a lot of attention within the Machine Learning research community. This kind of models has practical…

Image colorization is a widespread problem within computer vision. The ultimate objective of image colorization is to map a gray-scale…

Many image-editing and film post-production applications rely on natural image matting as one of the processing steps. The task of the…

The 3D Morphable Model (3DMM) is a statistical model of 3D facial shape and texture. 3D Morphable Models have various applications in many…