Graduated from: Skolkovo Institute of Science and Technology
Research interests: deep learning, image synthesis, adversarial learning.
Thesis title: “Synthesis of Human Face and Body Images via Generative Adversarial Networks”.
E. Zakharov, A. Ivakhnenko, A. Shysheya, V. Lempitsky, “Fast Bi-layer Neural Synthesis of One-shot Realistic Head Avatars”. In Proceedings of the European Conference on Computer Vision (ECCV), 2020.
E. Zakharov, A. Shysheya, E. Burkov, V. Lempitsky, “Few-Shot Adversarial Learning of Realistic Neural Talking Head Models”. CVF/IEEE International Conference on Computer Vision (ICCV), 2019.
A. Shysheya, E. Zakharov, K.-A. Aliev, R. Bashirov, A. Ivakhnenko, E. Burkov, D. Ulyanov, Yu. Malkov, K. Iskakov, I. Pasechnik, A. Vakhitov, V. Lempitsky, “Textured Neural Avatars”. CVF/IEEE Computer Vision and Pattern Recognition (CVPR), 2019.
D. Sungatullina, E. Zakharov, D. Ulyanov, V. Lempitsky. “Image manipulation with perceptual discriminators”. In Proceedings of the European Conference on Computer Vision (ECCV), 2018.