Provides a framework for discovering non-linear interpretable paths in pre-trained GAN latent spaces. read more of WarpedGANSpace: Finding non-linear RBF paths in GAN latent space

Provides a Neural Face Reenactment framework by leveraging the expressiveness of the StyleGAN2’s style space. read more of StyleMask: Disentangling the Style Space of StyleGAN2 for Neural Face Reenactment

Provides a framework for the problem of Neural Face Reenactment using Generative Adversarial Networks (GANs). read more of HyperReenact: One-Shot Reenactment via Jointly Learning to Refine and Retarget Faces

Provides a video similarity learning approach using self-supervision. read more of Self-Supervised Video Similarity Learning

Provides a framework for addressing the problem of computationally efficient content-based video retrieval in large-scale datasets. read more of DnS: Distill-and-select for efficient and accurate video indexing and retrieval

Provides a framework for finding interpretable directions in the latent space of convolutional GANs. read more of Tensor Component Analysis for Interpreting the Latent Space of GANs

A framework aiming to improve generalization performance and mitigate overfitting in deep learning methodologies in automated human affect and mental state estimation by introducing a novel relational loss for multilabel regression and ordinal problems, a... read more of Learning from Label Relationships in Human Affect

List of Deep Learning models for defecting defect on an image dataset of metal assembly pieces read more of Image Defect Detection Model Collection

Machine Learning and Deep Learning models to detect anomalies using time series data. read more of Supervised Anomaly Detection Model Collection

Model able to generate a production plan for a week given a set of orders that minimizes the monetary loss . read more of Constraint Optimization Programing Model