Vage Egiazarian

Education: Higher School of Economics (Data Science)

Research interests: Computer Vision, Deep Learning, Graph, GAN

Thesis title: Deep learning for image vectorization

Conferences:

• Voinov O.*, Artemov A., Egiazarian V., Notchenko A., Bobrovskikh G., Zorin D., & Burnaev E. Perceptual Deep Depth Super-Resolution. CVF/IEEE International Conference on Computer Vision (ICCV), Seoul 2019
• Mazur D.*, Egiazarian V.*, Morozov S.*, & Babenko A. Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs. Neural Information Processing Systems (NeurIPS), Vancouver 2019
• Egiazarian, V.*, Ignatyev, S.*, Artemov, A., Voynov, O., Kravchenko, A., Zheng, Y., Velho, L., Burnaev, E. Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds. International Conference on Computer Vision Theory and Applications (VISAPP), Valletta 2020
• Egiazarian, V.*, Voynov, O.*, Artemov, A., Volkhonskiy, D., Safin, A., Taktasheva, M., Zorin, D., & Burnaev, E., Deep Vectorization of Technical Drawings,  European Conference on Computer Vision (ECCV), Glasgow 2020