6 citations · 10 across the 5 of their papers we have counts for
6 papers
Rethinking Classifier-Free Guidance for TI2I Flow Matching
Andreas Floros, Elena Koritska, Teofilo de Campos +4
We study Text-and-Image-to-Image (TI2I) flow matching methods for controllable image editing. In a broader generative modeling context, Classifier-Free Guidance (CFG) is establishe…
Enhancing Gaze Reasoning in Vision Foundation Models for Gaze Following
Shijing Wang, Yaping Huang, Chaoqun Cui +4
Gaze following requires both scene understanding and gaze reasoning to localize the gaze target of an in-scene person. Recently, vision foundation models (VFMs) have demonstrated s…
Latent Directions: A Simple Pathway to Bias Mitigation in Generative AI
Carolina Lopez Olmos, Alexandros Neophytou, Sunando Sengupta +1
Mitigating biases in generative AI and, particularly in text-to-image models, is of high importance given their growing implications in society. The biased datasets used for traini…
NP-Match: When Neural Processes meet Semi-Supervised Learning
Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti +3
Semi-supervised learning (SSL) has been widely explored in recent years, and it is an effective way of leveraging unlabeled data to reduce the reliance on labeled data. In this wor…
Cross-modal Spectrum Transformation Network For Acoustic Scene classification
Yang Liu, Alexandros Neophytou, Sunando Sengupta +1
Convolutional neural networks (CNNs) with log-mel spectrum features have shown promising results for acoustic scene classification tasks. However, the performance of these CNN base…
Relighting Images in the Wild with a Self-Supervised Siamese Auto-Encoder
Yang Liu, Alexandros Neophytou, Sunando Sengupta +1
We propose a self-supervised method for image relighting of single view images in the wild. The method is based on an auto-encoder which deconstructs an image into two separate enc…