Dr. Phillip Isola
Associate Professor of EECS
Verified Proof of Work Artifacts
2 items catalogedEach artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Dr. Phillip Isola. Every entry undergoes editorial source verification.
Image-to-Image Translation with Conditional Adversarial Networks (Pix2Pix)
Authored the iconic CVPR 2017 paper defining conditional GANs for pixel-to-pixel translation tasks (edge-to-photo, night-to-day, map-to-aerial), establishing PatchGAN discriminators as standard generative building blocks.
Requires paired training samples, which are costly or impossible to obtain for arbitrary unsupervised real-world domains.
Contrastive Multiview Coding and Self-Supervised Representation Learning
Introduced Contrastive Multiview Coding (CMC), showing that maximizing mutual information across multiple views or sensory modalities learns invariant visual representations competitive with full ImageNet supervision.
Requires view-generation or multiple aligned cameras/modalities during pre-training to compute contrastive pairs.