Dave Dirnfeld

I am a Ph.D. student at the University of Massachusetts Amherst - Manning College of Information & Computer Sciences with interests in Computer Vision and AI. I work with Prof. Erik Learned-Miller in the Computer Vision Lab, where we investigate camera pose estimation and object segmentation.

Publications

Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes

Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes

  • Fabien Delattre,
  • Dave Dirnfeld,
  • Phat Nguyen,
  • Stephen Scarano,
  • Pedro Miraldo,
  • Michael J. Jones and
  • Erik Learned-Miller

We present an approach to estimating camera rotation in crowded, real-world scenes from handheld monocular video. While camera rotation estimation is a well-studied problem, no previous methods exhibit both high accuracy and acceptable speed in this setting. Because the setting is not addressed well by other datasets, we provide a new dataset and benchmark, with high-accuracy, rigorously verified ground truth, on 17 video sequences. Read More…

Teaching Assistant

Operating Systems

CS377

Fall 2021 - Current

Applied Deep Learning

COMS W4995

Spring 2021

Fundamentals of Computer Systems

CSEE 3827

Spring 2021, Spring 2019

Operating Systems I

COMS W4118

Spring 2020 - Fall 2020

Education

  • Sep. 2021 - Current
    Ph.D. Student
    University of Massachusetts Amherst
  • Sep. 2017 - May 2020
    Bachelor's of Computer Science
    Columbia University
  • Sep. 2014 - Dec. 2016
    Associate's Degree of Computer Information Systems
    Rockland Community College