Ruth Rosenholtz

Principal Researcher, NVIDIA

Joined

July 2019

Names

Ruth Rosenholtz

Emails

****@mit.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

Principal Researcher

NVIDIA (nvidia.com)

2022 – Present

Principal Researcher

Brain & Cognitive Sciences/CSAIL, Massachusetts Institute of Technology (mit.edu)

2003 – 2024

Advisors, Relations & Conflicts

PhD Advisor

Jitendra Malik

1991 – 1994

Expertise

modeling human vision

1990 – 2023

Publications

GramStatTexNet: Efficient, Interpretable, and Neuro-Inspired Spatiotemporal Texture
Vasha DuTell, Zeyu Yun, Anne Harrington, Yuan-Sheng Fang, Mark Hamilton, Christian Koevesdi, Edward H Adelson, William T. Freeman, Ruth Rosenholtz
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
StatTexNet: Evaluating the Importance of Statistical Parameters for Pyramid-Based Texture and Peripheral Vision Models
Christian Koevesdi, Vasha DuTell, Anne Harrington, Mark Hamilton, William T. Freeman, Ruth Rosenholtz
- Gaze Meets ML 2023 Poster
- Readers: Everyone
Evaluating Peripheral Vision as an Input Transformation to Understand Object Detection Model Behavior
Anne Harrington, Vasha DuTell, Mark Hamilton, Ayush Tewari, Simon Stent, William T. Freeman, Ruth Rosenholtz
- Gaze Meets ML 2023 Poster
- Readers: Everyone
COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery
Anne Harrington, Vasha DuTell, Mark Hamilton, Ayush Tewari, Simon Stent, William T. Freeman, Ruth Rosenholtz
- ICLR 2024 poster
- Readers: Everyone
Exploring the perceptual straightness of adversarially robust and biologically-inspired visual representations
Anne Harrington, Vasha DuTell, Ayush Tewari, Mark Hamilton, Simon Stent, Ruth Rosenholtz, William T. Freeman
- Published: 18 Oct 2022, Last Modified: 05 May 2023
- SVRHM Poster
- Readers: Everyone
Exploring perceptual straightness in learned visual representations
Anne Harrington, Vasha DuTell, Ayush Tewari, Mark Hamilton, Simon Stent, Ruth Rosenholtz, William T. Freeman
- Published: 01 Feb 2023, Last Modified: 01 Mar 2023
- ICLR 2023 poster
- Readers: Everyone

Ruth Rosenholtz

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

GramStatTexNet: Efficient, Interpretable, and Neuro-Inspired Spatiotemporal Texture

StatTexNet: Evaluating the Importance of Statistical Parameters for Pyramid-Based Texture and Peripheral Vision Models

Evaluating Peripheral Vision as an Input Transformation to Understand Object Detection Model Behavior

COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery

Exploring the perceptual straightness of adversarially robust and biologically-inspired visual representations

Exploring perceptual straightness in learned visual representations

Co-Authors