Ahmad Mustafa Anis

I'm a Deep Learning Computer Vision Engineer at Roll.ai and AI Research Fellow at Fatima Fellowship advised by Dr. Wei Peng from Stanford University. I completed my Bachelors in Computer Science from International Islamic University Pakistan, advised by Dr. Muhammad Nadeem.

I was an AI Fellow at the 14th Batch of PI School of AI with a scholarship worth 12,500€.

I serve as a community lead (For Geo-Regional Asia and ML-Maths Subgroups) at Cohere.for.ai, led by Sara Hooker. In this role, I've hosted over 50 researchers from Asia to present their work at Cohere for AI, completed a study group on NYU Deep Learning by Yann LeCun.

See my Resume here (Updated Mar 2025).

Email  /  Twitter  /  Google Scholar  /  Hugging Face  /  Github  /  Medium  /  Linkedin

Research

I am interested in Deep Learning in general, and read literature from different fields. In-particular, I try to follow the research in the following areas:

• Improving Reasoning in Vision-Language Models
  • Visual Question Answering (VQA)
  How well can a model reason on an image/video and answer questions. How can we extend it to multi-cultural and multi-lingual settings while maintaining alignment.
  • Image Generation
  How well can a model reasonate with the textual caption and generate image. How can we extend it to a multi-cultural and multi-lingual settings while maintaining alignment.
• Self-Supervised Learning
How to learn good representations from a huge amount of data that can be used for down-stream tasks without huge efforts.
• World Models
How can we make models that can plan and reason in an environment.

News

Publications

On the Limitations of Vision Language Models in Understanding Image Transforms

Ahmad Mustafa Anis, Hasnain Ali, Saquib Sarfraz

Preprint

preprint

This paper investigates the image-level understanding of VLMs, specifically CLIP by OpenAI and SigLIP by Google. Our findings reveal that these models lack comprehension of multiple image-level augmentations.

Bridging the Data Provenance Gap Across Text, Speech and Video

S Longpre, N Singh, [8 authors], Ahmad Mustafa Anis, et al.

ICLR 2025

project page / arXiv

Consent in Crisis: The Rapid Decline of the AI Data Commons

S Longpre, R Mahari, [13 authors], Ahmad Mustafa Anis, et al.

NeurIPS, 2024

Project page/ arXiv

Favourite Papers

List of papers I really admire (and hope to do similar impactful work).