izadinia AT
Computer Science & Engr.
AC 101 Paul G Allen Center
185 Stevens Way
Seattle, WA 98195-2350

I'm a PhD candidate in Computer Science at University of Washington, advised by Prof. Steve Seitz. I'm also part of the Graphics-Vision Lab (GRAIL) at UW.

My research is in the intersection of computer vision and machine learning. In particular, my focus is on 3D scene geometry reconstruction and semantic understanding using deep learning with applications in virtual and augmented reality.

Work Experience

Facebook Reality Labs (FRL)
Research Intern
Redmond, WA
Fall 2017-Winter 2019
Research Intern, Oculus Research
San Francisco, CA
Summer 2017
Research Intern, Flickr
San Francisco, CA
Summer 2016
Research Intern, Adobe Research
(Creative Technologies Lab)
San Francisco, CA
Summer 2014
Research Intern, Disney Research
Pittsburgh, PA
Summer 2013
Visiting scholar, Robotics Institute
Carnegie Mellon University
Pittsburgh, PA
Summer 2012

selected publications (All publications)

Hamid Izadinia, Steven M. Seitz
Keywords: 3D scene recomposition, learning-based ICP (LICP), Deep reinforcement learning (DeepRL), 3D geometry learning, 3D CAD models, 3D shapes, room layout estimation, 3D geometry network, Iterative Closest Point (ICP), scene reconstruction, noisy scan.
arXiv · project page
Hamid Izadinia, Qi Shan, Steven M. Seitz
CVPR 2017. (spotlight)
Keywords: 3D scene reconstruction, convolutional neural network, reconstruction-recognition, scene optimization via render-and-match, single view geometry, room layout estimation, 3D CAD models.
pdf · arXiv · project page
Hamid Izadinia, Pierre Garrigues
Keywords: Regularization for training ConvNets, object-in-context retrieval, semi-supervised learning, fully convolutional neural network, object categorization and localization, MS COCO and Visual Genome (as weakly-supervised set), YFCC100M (as unlabeled set), t-SNE map.
pdf · project page
H. Izadinia, F. Sadeghi, S.K. Divvala, Y. Choi, A. Farhadi
ICCV 2015. (oral)
Keywords: visual entailment, visual paraphrasing, semantic segmentation, large-scale recognition.
H. Izadinia, B. Russell, A. Farhadi, M. Hoffman, A. Hertzmann
Multimedia COMMONS, ACM Multimedia, 2015.
Keywords: deep learning, convolutional neural network, large-scale recognition, photo tagging, image classification, image retrieval, robust classification, deep tagging, YFCC100M (as noisy labeled dataset).
pdf  · Deep-Tagging demo
H. Izadinia*, F. Sadeghi*, A. Farhadi
CVPR, 2014.
Keywords: scene understanding, large-scale recognition, object layout inference, structured SVM, black-box test, scene context.
F. Sadeghi, H. Izadinia
preprint arXiv:1412.6079, December 2014.
Keywords: diagram understanding, visualization redesign, text visualization, computer vision, word cloud.
H. Izadinia, M. Shah
ECCV, 2012.
Keywords: complex event recognition, action recognition, structured learning, latent SVM.
H. Izadinia, I. Saleemi, W. Li, M. Shah
ECCV, 2012.
Keywords: multi-target, tracking, pedestrians, humans, body part tracking, network flow optimization, k-shortest paths.
H. Izadinia, I. Saleemi, M. Shah
Keywords: audio-visual analysis, canonical correlation analysis, video segmentation, audio-visual synchronization.
H. Izadinia, V. Ramakrishna, K. Kitani, D. Huber
WACV 2013.
Keywords: human pose estimation, multi-target tracking, action recognition.

Teaching GTA

Reinforcement Learning (RL), Q-Learning,
Value Iteration, Markov Decision Process (MDP),
CSP, Search, HMM, Bayesian Net, Perceptron.

Find the slides of our computer vision seminar class CSE590v (Autumn 2014)