Klint Qinami Ph.D. student Department of Computer Science Princeton University 35 Olden Street Princeton, NJ 08540 first initial plus last name at institution dot edu

About

I am a Ph.D. student in the Department of Computer Science at Princeton University. I am interested in training computers to better understand images and videos. Previously, I received my B.S. from the School of Engineering and Applied Science at Columbia University (Class of 2018). At Columbia, I was fortunate enough to work with Professor Eitan Grinspun on geometry processing and physically-based animation.

I am currently on an academic leave of absence.

Projects

Graduate

• Zeyu Wang, Klint Qinami, Ioannis Karakozis, Kyle Genova, Prem Nair, Kenji Hata, & Olga Russakovsky (2020). Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).


• Kaiyu Yang, Klint Qinami, Li Fei-Fei, Jia Deng, & Olga Russakovsky (2020). Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy. In ACM Conference on Fairness, Acountability and Transparency (FAT*).

Undergraduate

• QClang: High-Level Quantum Computing Language
  Klint Qinami, Connor Abbott (Apr. 28, 2018)
  (Src | Github)

• Quantifying Geometric Entanglement: the Linking Number of Two Open Curves
  Klint Qinami, Eitan Grinspun (May 15, 2017)

• Blis: Better Language for Image Stuff
  Connor Abbott, Wendy Pan, Klint Qinami, Jason Vaccario (May 10, 2017)
  (Src | Github)

• Physics: Superconductivity Software (Src | Github), Quantum Hall Effect Software (Src | Github)

• Maths: Algebraic Topology, Point-Set Topology, Modern Algebra

Miscellaneous links

• C.V.
• GitHub
• Stack Exchange

Two days coding can easily save you up to two hours reading the literature.