I am a PhD student at ETH Zurich supervised by Prof. Dr. Siyu Tang since September 2020. Previously, I obtained my Master's degree at ETH as a part of the Direct Doctorate in Computer Science and completed undergraduate studies at the Faculty of Electronic Engineering, University of Nis.
My research lies at the intersection of computer vision, machine learning, and computer graphics. I am particularly interested in realistic reconstruction of the 3D world around us and understanding how we, as humans, interact with the environment.
01.03.2021: Two papers accepted at CVPR 2021 (1, 2).
12.09.2020: I joined VLG as a PhD student (supervisor Siyu Tang).
10.09.2020: Completed a two-year Master program at the Instituate for Visual Computing (supervisor Marc Pollefeys).
17.09.2018: I started Direct Doctorate in Computer Science at ETH Zurich.
COAP is a novel neural implicit representation for articulated human bodies that provides an efficient mechanism for modeling self-contact and interactions with the environment.
Generalizable and controllable neural signed distance fields (SDFs) that represent clothed humans from monocular depth observations.
LEAP is a neural network architecture for representing volumetric animatable human bodies. It follows traditional human body modeling techniques and leverages a statistical human prior to generalize to unseen humans.
DeepSurfels is a novel 3D representation for geometry and appearance information that combines planar surface primitives with voxel grid representation for improved scalability and rendering quality.