Igor Vasiljevic Email & Phone Number

Tokyo, JP

Los Altos, California, United States

TA for Computer Vision (TTIC 31040/CMSC 35040, Spring 2021). Contributed to course development and created homework assignments for a class focusing on the foundations of computer vision that are still relevant in the deep learning era.

Los Altos, California, United States

Los Altos, California, United States

Project focused on self-supervised learning of depth and pose for general camera models, work published as an oral paper at 3DV2020: https://arxiv.org/abs/2008.06630

TA for Computer Vision (CMSC 25050).

Santa Monica, CA

Worked on 3D object detection for KITTI and nuScenes (vehicles, cyclists and pedestrians) using LiDAR point cloud data and PointNet variants.

Mountain View, CA

Lytro was a hardware startup that built light field cameras, in my internship I worked on applying recent advances in deep learning to applications of their Lytro Immerge (95 camera) rig. I explored multi-view depth estimation at a large scale, as well as depth refinement strategies for multi-view videos using temporal consistency.

Chicago

Improved an early CNN-based semantic segmentation architecture (https://bitbucket.org/m_mostajabi/zoom-out-release) that achieved very competitive results on PASCAL VOC and COCO.Analyzed the impact of various kinds of image degradation and blur on CNN-based classification and segmentation, proposing data augmentation solutions.

Greater Chicago Area

Worked on dynamic models of influenza spread in a computational ecology lab.

Greater Chicago Area

Phd, Computer Science

Master Of Science (M.S), Computer Science

Algorithms, Deep Learning for Computer Vision, Intro Statistical Machine Learning, Probabilistic Graphical Models, Self-driving Vehicles.

Master Of Science (M.S.), Statistics

Machine Learning, Pattern Recognition, Distribution Theory, Statistical Theory, Generalized Linear Models

A.B., Economics

Education record