Ege Ozguroglu's homepage

I'm a CS PhD Student at Columbia University, immensely fortunate to be advised by Carl Vondrick.

My research interests lie primarily in Computer Vision & Machine Learning. More broadly, I would like to scientifically study intelligence and its emergence through visual perception. Toddlers and other ecological organisms - new to their sensory environment - acquire intelligence partially through evolution and self-play with the physical world. How can we build curious self-learning machines that leverage the raw, physical, and sensory modalities (auditory, tactile, and olfactory) complementary to & in the absence of vision?

Previously, I graduated from Columbia Engineering with a B.S. in Computer Science, where I was introduced to research by Shuran Song and Carl Vondrick.

News

[2024 June]: Two new pre-prints available on arXiv, check out the links below!

[2024 Feb]: pix2gestalt was accepted to CVPR 2024 as Highlight! gestalt.cs.columbia.edu

[2023 Sep]: Started as a (pre-doctoral) Research Associate (Staff Associate I) at Columbia University, Department of Computer Science.

[2023 May]: Received the Andrew Kosoresow Memorial Award for Excellence in Teaching and Service.

Research

Dreamitate: Real-World Visuomotor Policy Learning via Video Generation Junbang Liang*, Ruoshi Liu*, Ege Ozguroglu, Sruthi Sudhakar, Achal Dave, Pavel Tokmakov, Shuran Song, Carl Vondrick
arXiv Paper Project Page Code
arXiv 2024

Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis Basile Van Hoorick, Rundi Wu, Ege Ozguroglu, Kyle Sargent, Ruoshi Liu, Pavel Tokmakov, Achal Dave, Changxi Zheng, Carl Vondrick
arXiv Paper Project Page Code
arXiv 2024

EraseDraw: Learning to Draw Step-by-Step via Erasing Objects from Images Alper Canberk, Makysym Bondarenko, Ege Ozguroglu, Ruoshi Liu, Carl Vondrick
arXiv Paper Project Page
arXiv 2024

pix2gestalt: Amodal Segmentation by Synthesizing Wholes Ege Ozguroglu, Ruoshi Liu, Dídac Surís, Dian Chen, Achal Dave, Pavel Tokmakov, Carl Vondrick
arXiv Paper Project Page Code
CVPR 2024 (Highlight)

Teaching/Service

I spent the majority of my undergraduate years learning to help teach, with the great Paul Blaer as my teaching mentor here. I am nostalgic of each wonderful iteration, listed below.

Computer Vision II: Learning (COMS 4732)
Teaching AssistantSpring 2023

Data Structures & Algorithms (COMS 3134)
Head Teaching AssistantSpring 2021, Summer B 2021, Fall 2021, Spring 2022, Spring 2023

Introduction to CS and Programming (COMS 1004)
Head Teaching AssistantSummer A 2021, Fall 2021, Summer A 2022, Fall 2022