3 citations · 4 across the 4 of their papers we have counts for
5 papers · 1 filter
Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models
Gihyun Kwon, Simon Jenni, Dingzeyu Li +3
While there has been significant progress in customizing text-to-image generation models, generating images that combine multiple personalized concepts remains challenging. In this…
EKILA: Synthetic Media Provenance and Attribution for Generative Art
Kar Balan, Shruti Agarwal, Simon Jenni +3
We present EKILA; a decentralized framework that enables creatives to receive recognition and reward for their contributions to generative AI (GenAI). EKILA proposes a robust visua…
VADER: Video Alignment Differencing and Retrieval
Alexander Black, Simon Jenni, Tu Bui +5
We propose VADER, a spatio-temporal matching, alignment, and change summarization method to help fight misinformation spread via manipulated videos. VADER matches and coarsely alig…
Audio-Visual Contrastive Learning with Temporal Self-Supervision
Simon Jenni, Alexander Black, John Collomosse
We propose a self-supervised learning approach for videos that learns representations of both the RGB frames and the accompanying audio without human supervision. In contrast to im…
Time-Equivariant Contrastive Video Representation Learning
Simon Jenni, Hailin Jin
We introduce a novel self-supervised contrastive learning method to learn representations from unlabelled videos. Existing approaches ignore the specifics of input distortions, e.g…