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Gemmechu Hassena

gmh72@cornell.edu

I am a CS PhD student at Cornell University working in the intersection of Machine Learning, Computer Vision and Graphics, advised by Prof. Bharath Hariharan and Prof. Steve Marschner. My research focuses on recovering the geometry and material properties of the 3D world directly from visual data in unconstrained capture settings. Prior to Cornell I earned my Bachelor's in Software Engineering from Addis Ababa University, Ethiopia. I have worked as a research intern at Ecole Polytechnique with Prof. Maks Ovsjanikov and at the University of Michigan with Prof. David Fouhey on computer vision, graphics and machine learning projects.

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Research

ObjectCarver

ObjectCarver: Semi-automatic segmentation, reconstruction and separation of 3D objects

Gemmechu Hassena, Jonathan Moon, Ryan Fujii, Andrew Yuen, Noah Snavely, Steve Marschner, Bharath Hariharan

3DV 2025

Given multi-view images and point clicks in a single view, ObjectCarver generates a mask, propagates it to other views, reconstructs the 3D surface, and separates individual objects in the scene.

project page arXiv
Quantifying Bird Skeletons

Quantifying Bird Skeletons

Zhizhuo Zhou, Gemmechu Hassena, Brian C. Weeks, David F. Fouhey

CV4Animals Workshop @ CVPR 2021

We introduced a dataset and system for measuring skeletal traits from museum specimens, which speeds up skeleton measurement by 15x. This research helped ecologists study how global warming causes birds to shrink.

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Projects

Scene Understanding

Scene understanding using humans as a ruler

Gemmechu Hassena, Chris Rockwell, David Fouhey

AURA 2020

Monocular depth estimation using people's height as a reference to estimate depth and floor of a scene.

Video
Expanding Horizons

Expanding Horizons: Visual Indeterminacy as A Vehicle For Inquiry and New Connections

Devi Parikh, Amal Alabdulkarim, Gemmechu Hassena, Oana Ignat, Jiasen Lu, Ryan Murdock

Collaboration 2021

Website
The adventure of rats

The adventure of rats

Gemmechu Hassena

Individual 2018

Developed a 3D game with Unity engine.

Others

Dog likelihood

What is your dog likelihood?

Gemmechu Hassena, Simret Araya, Bharath Hariharan

SIGBOVIK 2024

We train and evaluate a system to predict dog likelihood based on a human face using facial recognition models.

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Talks

Teaching

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