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.


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

Abstract: 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 Moreā€¦


Teaching Assistant

Fall 2021 - Current

Operating Systems

Teaching Assistant for CS377
Spring 2021
Columbia University

Applied Deep Learning

Teaching Assistant for COMS W4995 - Applied Deep Learning
Spring 2021, Spring 2019
Columbia University

Fundamentals of Computer Systems

Teaching Assistant for CSEE 3827
Spring 2020 - Fall 2020
Columbia University

Operating Systems

Teaching Assistant for COMS W4118 Operating Systems I


Graduate Degree

Fall 2021 - Current

Ph.D. Student

Bachelor's Degree

Fall 2017 - Spring 2020
Columbia University

Bachelor's of Computer Science

Associate's Degree

Fall 2014 - Fall 2016
Rockland Community College

Associate's Degree of Computer Information Systems