Head Reconstruction from Internet Photos
Methods that reconstruct 3D models of people’s heads from images need to account for varying 3D pose, lighting, non-rigid changes due to expressions, relatively smooth surfaces of faces, ears, and…
New Datasets for Disguised Face Recognition
Face recognition is a common task in deep learning, and convolutional neural networks (CNNs) are doing a pretty good job here. I guess Facebook usually performs right at recognizing you…
Fooling Facial Recognition: Fast Method for Generating Adversarial Faces
With the rapid progress and state-of-the-art performance in a wide range of tasks, deep learning based methods are in use in a large number of security-sensitive and critical applications. However,…
This Neural Network Evaluates Natural Scene Memorability
One hallmark of human cognition is the splendid capacity of recalling thousands of different images, some in details, after only a single view. Not all photos are remembered equally in…
True Face Super-Resolution Upscaling with the Facial Component Heatmaps
The performance of the most facial analysis techniques relies on the resolution of the corresponding image. Face alignment or face identification is not going to work correctly when the resolution…
Temporal Relational Reasoning in Videos
The ability to reason about the relations between entities over time is crucial for intelligent decision-making. Temporal relational reasoning allows intelligent species to analyze the current situation relative to the…
Identity Verification with Deep Learning: ID-Selfie Matching Method
A large number of daily activities in our lives require identity verification. Identity verification provides a security mechanism starting from access control to systems all the way to at border crossing…
Deforming Autoencoders (DAEs) – Learning Disentangled Representations
Generative Models are drawing a lot of attention within the Machine Learning research community. This kind of models has practical applications in different domains. Two of the most commonly used…
Deep Clustering Approach for Image Classification Task
Clustering of images seems to be a well-researched topic. But in fact, little work has been done to adapt it to the end-to-end training of visual features on large-scale datasets.…