MoRF: Mobile Realistic Fullbody Avatars from a Monocular Video

no code implementations • 17 Mar 2023 • Renat Bashirov, Alexey Larionov, Evgeniya Ustinova, Mikhail Sidorenko, David Svitov, Ilya Zakharkin, Victor Lempitsky

We present a system to create Mobile Realistic Fullbody (MoRF) avatars.

Hyperbolic Image Embeddings

3 code implementations • CVPR 2020 • Valentin Khrulkov, Leyla Mirvakhabova, Evgeniya Ustinova, Ivan Oseledets, Victor Lempitsky

Computer vision tasks such as image classification, image retrieval and few-shot learning are currently dominated by Euclidean and spherical embeddings, so that the final decisions about class belongings or the degree of similarity are made using linear hyperplanes, Euclidean distances, or spherical geodesic distances (cosine similarity).

Few-Shot Learning General Classification +3

Learning Deep Embeddings with Histogram Loss

1 code implementation • NeurIPS 2016 • Evgeniya Ustinova, Victor Lempitsky

We suggest a loss for learning deep embeddings.

Stochastic Optimization

Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification

1 code implementation • 16 Dec 2015 • Evgeniya Ustinova, Yaroslav Ganin, Victor Lempitsky

In this work we propose a new architecture for person re-identification.

Person Re-Identification

Domain-Adversarial Training of Neural Networks

35 code implementations • 28 May 2015 • Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, Victor Lempitsky

Our approach is directly inspired by the theory on domain adaptation suggesting that, for effective domain transfer to be achieved, predictions must be made based on features that cannot discriminate between the training (source) and test (target) domains.

Domain Generalization General Classification +5