Safa Cicek

I am an engineer in Waymo. I got my PhD from the Electrical and Computer Engineering department at UCLA where I worked under the supervision of Stefano Soatto in the Vision Lab. I successfully defended my PhD dissertation on January 21, 2021.

I obtained my B.Eng degree from Electrical Engineering department of Bilkent University, Turkey, 2015. I obtained my MS degree from Electrical and Computer Engineering department of UCLA, 2017.

I am interested in deep learning, semi-supervised learning, unsupervised domain adaptation and reinforcement learning.

Resume

News

[September, 2021] Our paper, Small Lesion Segmentation in Brain MRIs with Subpixel Embedding accepted to BrainLes: Brain Lesion Workshop.

[February, 2021] Our paper, Learning Topology from Synthetic Data for Unsupervised Depth Completion accepted to IEEE International Conference on Robotics and Automation (ICRA 2021).

[February, 2021] I am joining Waymo in Mountain View as full-time.

[January, 2021] I successfully defended my PhD dissertation, Visual Learning with Weak Supervision.

[January, 2021] Our paper, Learning Topology from Synthetic Data for Unsupervised Depth Completion accepted to IEEE Robotics and Automation Letters (RAL 2021).

[September, 2020] Our paper, Targeted Adversarial Perturbations for Monocular Depth Prediction accepted to Neural Information Processing Systems (NeurIPS 2020).

[September, 2020] Our paper, Spatial Class Distribution Shift in Unsupervised Domain Adaptation: Local Alignment Comes to Rescue accepted to Asian Conference on Computer Vision (ACCV 2020).

[August, 2020] Our paper, Generative Feature Disentangling for Unsupervised Domain Adaptation accepted to European Conference on Computer Vision (ECCV 2020) workshop.

[June, 2020] I am joining Waymo Research in Mountain View for my summer internship.

[August, 2019] Our paper, Input and Weight Space Smoothing for Semi-supervised Learning accepted to International Conference on Computer Vision (ICCV 2019) workshop.

[July, 2019] Our paper, Unsupervised Domain Adaptation via Regularized Conditional Alignment accepted to International Conference on Computer Vision (ICCV 2019) as oral (%4.6 of all submissions).

[June, 2019] I am joining Adobe Research in San Jose for my summer internship.

[January, 2019] Our paper, MARL-PPS: Multi-agent Reinforcement Learning with Periodic Parameter Sharing accepted to International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019).

[July, 2018] Our paper, SaaS: Speed as a Supervisor for Semi-supervised Learning accepted to European Conference on Computer Vision (ECCV 2018).

[June, 2018] I am joining Honda Research Institute in Mountain View for my summer internship.

[March, 2018] I advanced to candicacy.

[January, 2017] I passed PhD Preliminary Examination of UCLA ECE.

Contact

  safacicek at gmail dot com

Web

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Publications

	Learning Topology from Synthetic Data for Unsupervised Depth Completion Alex Wong, Safa Cicek, Stefano Soatto paper
	Targeted Adversarial Perturbations for Monocular Depth Prediction Alex Wong, Safa Cicek, Stefano Soatto paper poster
	Spatial Class Distribution Shift in Unsupervised Domain Adaptation: Local Alignment Comes to Rescue Safa Cicek, Ning Xu, Zhaowen Wang, Hailin Jin, Stefano Soatto paper
	Disentangled Image Generation for Unsupervised Domain Adaptation Safa Cicek, Ning Xu, Zhaowen Wang, Hailin Jin, Stefano Soatto paper supplementary
	Unsupervised Domain Adaptation via Regularized Conditional Alignment Safa Cicek, Stefano Soatto paper poster
	Input and Weight Space Smoothing for Semi-supervised Learning Safa Cicek, Stefano Soatto paper poster
	SaaS: Speed as a Supervisor for Semi-supervised Learning Safa Cicek, Alhussein Fawzi, Stefano Soatto paper poster
	MARL-PPS: Multi-agent Reinforcement Learning with Periodic Parameter Sharing Safa Cicek, Alireza Nakhaei, Stefano Soatto, Kikuo Fujimura paper poster

PhD Thesis

	Visual Learning with Weak Supervision thesis slides