Ayush Shrivastava

AI Researcher

Ypsilanti, Michigan, United States7 yrs experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Published papers at top AI conferences.
  • Experience in advanced AI research and development.
  • Strong background in computer science and engineering.
Stackforce AI infers this person is a highly skilled AI Researcher with a focus on machine learning and computer vision.

Contact

Skills

Other Skills

PythonCC++Microsoft OfficeJava

Experience

Adobe

2 roles

Research Scientist Intern

May 2025Present · 10 mos · Seattle, Washington, United States

  • Working on making video diffusion models efficient.

Research Scientist Intern

May 2024Nov 2024 · 6 mos · Seattle, Washington, United States

  • Worked on modeling lens blur in image diffussion models, published at WACV 2026

University of michigan

Graduate Research Assistant

Aug 2021Present · 4 yrs 7 mos · Ann Arbor, Michigan, United States

  • Worked on problems related to motion understanding using self-supervised learning, video models and multimodal learning, published papers at CVPR 2023, ECCV 2024, CVPR 2025.

Amazon

2 roles

Applied Scientist Intern

May 2021Aug 2021 · 3 mos · Sunnyvale, California, United States

  • Worked on a new benchmark released for human–human, interactive dialogues to complete household tasks in simulation on AI2-THOR, published at AAAI 2022.

Applied Scientist Intern

May 2020Aug 2020 · 3 mos · Sunnyvale, California, United States

  • Worked on building agents that can solve a navigation task by holding dialog with each other in a cooperative setting, published at ACL 2022.

Georgia institute of technology

2 roles

Graduate Research Assistant

Aug 2019Apr 2021 · 1 yr 8 mos · Atlanta

  • Worked on problems that related to Embodied AI and Vision & Language.
  • Papers published at ECCV 2020 and CoRL 2020.
  • Organized VQA Challenge 2020, 2021 and VQA and Dialog Workshop at CVPR 2020, CVPR 2021.
  • Co-organized Visual Dialog Challenge 2020.

Visiting Research Scholar

Aug 2018May 2019 · 9 mos · Atlanta

  • Worked on solving navigation instruction following in 3D environments by following an ideal agent trajectory. Presented at NeurIPS 2019. Supervised by Prof. Devi Parikh and Prof. Dhruv Batra.

Google summer of code

Mentor

Apr 2018Aug 2018 · 4 mos

  • Mentored a student for Fabrik project in CloudCV organization. Added support for importing/exporting models from TensorFlow. Built real time collaboration feature where multiple users can edit or review the model at the same time.

Nanyang technological university

Research Intern

May 2017Jul 2017 · 2 mos · Singapore

  • Built fast semantic segmentation models for autonomous driving by reducing complexities in model architecture. Explored and combined different deep learning models like PSPNet and MobileNets.

Defence research and development organization

Research Intern

May 2016Jul 2016 · 2 mos · New Delhi, India

  • Implementation and performance analysis of Extreme Learning Machines and its variants on object detection and blind blur detection.

Education

University of Michigan

PhD — Computer Science

Aug 2021Apr 2026

Georgia Institute of Technology

Master of Science — Computer Science

Jan 2019Jan 2021

Indian Institute of Technology (Banaras Hindu University), Varanasi

Bachelor of Technology — Computer Science And Engineering

Jan 2014Jan 2018

Vidya Bhavan Public School, Gwalior

High School

Jan 2002Jan 2014

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