Graduated from: Skoltech
Research interests: Computer Vision, Computer Graphics, Machine Learning
Thesis title: Neural 3D Representations
Publications:
1. Kara-Ali Aliev, Artem Sevastopolsky, Maria Kolos, Dmitry Ulyanov, Victor Lempitsky, “Neural Point-Based Graphics”. Proceedings of the IEEE European Conference on Computer Vision (ECCV), 2020.
2. Artur Grigorev, Artem Sevastopolsky, Alexander Vakhitov, Victor Lempitsky, “Coordinate-based texture inpainting for pose-guided human image generation”. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2019.
3. Maria Kolos*, Artem Sevastopolsky*, Victor Lempitsky, “TRANSPR: Transparency Ray-Accumulating Neural 3D Scene Point Renderer”. Proceedings of the International Conference on 3D Vision (3DV). 2020.
Conferences:
1. Maria Kolos*, Artem Sevastopolsky*, Victor Lempitsky, “TRANSPR: Transparency Ray-Accumulating Neural 3D Scene Point Renderer”. Poster presentation at the International Conference on 3D Vision (3DV). 2020.
2. Kara-Ali Aliev, Artem Sevastopolsky, Maria Kolos, Dmitry Ulyanov, Victor Lempitsky, “Neural Point-Based Graphics”. Poster presentation at the IEEE European Conference on Computer Vision (ECCV), 2020.
3. Kara-Ali Aliev, Artem Sevastopolsky, Maria Kolos, Dmitry Ulyanov, Victor Lempitsky, “Neural Point-Based Graphics”. Poster presentation at the Summer Machine Learning School at Skoltech (SMILES), 2020.
4. Artur Grigorev, Artem Sevastopolsky, Alexander Vakhitov, Victor Lempitsky, “Coordinate-based texture inpainting for pose-guided human image generation”. Poster presentation at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
5. Artur Grigorev, Artem Sevastopolsky, Alexander Vakhitov, Victor Lempitsky, “Coordinate-based texture inpainting for pose-guided human image generation”. Oral talk at the DataFest, Moscow, 2019.