PeopleofSuperintelligence

Researcher

Ramprasaath R. Selvaraju

Also known as Ramprasaath Ramasamy Selvaraju, Ramprasaath Selvaraju

Ramprasaath Selvaraju is a computer vision researcher best known as first author of Grad-CAM, a technique that shows which image regions drive a neural network's prediction. He studied electrical engineering and physics at BITS Pilani in India and completed a PhD at Georgia Tech in 2020, advised by Devi Parikh and Dhruv Batra. Grad-CAM appeared at ICCV 2017, and during his years at Salesforce Research from 2020 to 2022 he was second author of the ALBEF vision-language model in 2021. He was a founding member of Artera AI from 2022 to 2023, and the 2022 AMiner AI 2000 list placed him among the top 100 scholars in computer vision. Since May 2023, he is a senior researcher at Apple working on machine learning for Apple Vision Pro.

Now at
Apple
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Timeline

  1. 2010–2015

    Physics and engineering at BITS Pilani

    He studies at the Birla Institute of Technology and Science (BITS-Pilani) in Hyderabad, India, and earns a Bachelor of Engineering in Electrical & Electronics Engineering and a Master of Science in Physics in 2015. During 2013 he interns at Brown University with Benjamin Kimia on a vision-based indoor navigation system for visually impaired people, and in 2014 he works at Oxford University with Philip H. S. Torr and Stephen Hicks on augmented-reality systems for visually impaired users.

  2. 2015–2020

    A Georgia Tech doctorate

    He works as a research assistant in the Visual Intelligence Lab at Georgia Tech, advised by Devi Parikh and Dhruv Batra, on AI systems that are interpretable, transparent and unbiased. He earns his Computer Science PhD in 2020 with the thesis Explaining model decisions and fixing them via human feedback.

  3. 2017

    Grad-CAM at ICCV

    He is first author of Grad-CAM, published at ICCV 2017 with Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh and Dhruv Batra. The method uses the gradients of a target concept flowing into the final convolutional layer to produce a coarse localization map of the image regions that matter, and it applies to image classification, captioning and visual question answering models. An extended version appears in the International Journal of Computer Vision in 2019.

  4. June 2020–February 2022

    Senior scientist at Salesforce Research

    He joins Salesforce Research in Palo Alto as a Senior Research Scientist in June 2020 and works at the intersection of large-scale multimodal representation learning and explainability. He holds the role until February 2022.

  5. 2021

    The ALBEF vision-language model

    In July 2021, he is second author of Align before Fuse (ALBEF), with Junnan Li, Akhilesh Deepak Gotmare, Shafiq Joty, Caiming Xiong and Steven Hoi. The method adds a contrastive loss that aligns image and text representations before cross-modal attention fuses them, and uses momentum distillation to learn from noisy web data. ALBEF reaches absolute gains of 2.37% on VQA and 3.84% on NLVR2 over the previous state of the art.

  6. February 2022–March 2023

    Founding member at Artera AI

    He joins Artera AI in Los Altos as a founding member in February 2022 and leads research and development of AI solutions for precision medicine until March 2023.

  7. 2022

    AMiner AI 2000 in computer vision

    He is recognized among the top 100 scholars in the AMiner 2022 AI 2000 list of most influential scholars in Computer Vision for 2012–2021.

  8. Since May 2023

    Senior researcher at Apple

    He joins Apple as a Senior Researcher in May 2023 and works on machine learning for Apple Vision Pro. He is a Senior Research Scientist at Apple specializing in computer vision.

Career

  1. Since 2023AppleSenior Research Scientist
  2. 2022–2023Artera AIFounding Member
  3. 2020–2022SalesforceSenior Research Scientist
  4. 2015–2020Georgia Institute of TechnologyResearch Assistant
  5. 2014University of Oxford
  6. 2013Brown UniversityIntern

Education

  1. 2020Georgia Institute of TechnologyComputer Science PhD
  2. 2015Birla Institute of Technology and Science, PilaniBachelor of Engineering in Electrical & Electronics Engineering and Master of Science in Physics

From the biography.

  1. Of 943 people shaping AI who worked at Google, 446 work there nowIncludes Apple. Our estimates of where the 943 people shaping AI who worked at Google and Google DeepMind work now: 446 at Google and 452 across 278 other organizations.
  2. Google alumni have founded or led 133 other organizations, more than any other AI labIncludes Apple. We estimate that alumni of 17 major AI labs went on to found or lead 350 other organizations, including 226 they founded, and we trace 472 career moves directly between 23 labs since 2010.
  3. Among employers with 30+ full-time cases, OpenAI leads primary technical role H-1B pay at $310,000, and Amazon, Google and Microsoft file 57% of all casesIncludes Apple. Across 440,669 certified US H-1B filings from 44 employers (FY2020–FY2026), OpenAI leads primary technical role base pay at $310,000 and xAI leads overall base pay at $290,000.
  4. The top 10 organizations employed 22% of people shaping AI in 2025: 51% of company researchers and 21% of university researchersIncludes Apple. We estimate the share of people shaping AI who worked at the top 10 organizations each year from 1955 to 2025, comparing concentration across companies, universities, and institutes and labs.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Ramprasaath R. Selvaraju | AI Research ramselvaraju.com. Checked 22 October 2026.
  2. Ramprasaath R. Selvaraju | alphaXiv alphaxiv.org. Checked 22 October 2026.
  3. Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization (arXiv:1610.02391) arxiv.org. Checked 22 October 2026.
  4. Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization | ML Anthology mlanthology.org. Checked 22 October 2026.
  5. Align before Fuse: Vision and Language Representation Learning with Momentum Distillation (arXiv:2107.07651) arxiv.org. Checked 22 October 2026.
  6. Align before Fuse (ALBEF): Advancing Vision-language Understanding with Contrastive Learning salesforce.com. Checked 22 October 2026.