Current member

Hameed Ijadunola

Graduate Student

Hameed works on vision–language representation learning, building on the lab's masked-image-modeling research line.

Hameed Ijadunola is a graduate student in the AICIP Lab working in the lab’s representation-learning research line, with a focus on masked image modeling and vision–language models such as CLIP.

Before UT, he earned a BEng in Computer Engineering from the Federal University of Technology, Akure, Nigeria, and worked as a software engineer.

Projects

Architecture diagram of Cross-Scale MAE showing multi-scale masked autoencoder branches with cross-scale consistency objectives.

active 2022–present

Representation Learning

From Cross-Scale MAE to ExPLoRe — a sustained line of work on learning visual representations without labels, published at NeurIPS 2023 and ECCV 2026.

self-supervised learning · masked image modeling · vision transformers