78 citations · 421 across the 37 of their papers we have counts for
8 papers · 1 filter
Tensor Component Analysis for Interpreting the Latent Space of GANs
James Oldfield, Markos Georgopoulos, Yannis Panagakis +2
This paper addresses the problem of finding interpretable directions in the latent space of pre-trained Generative Adversarial Networks (GANs) to facilitate controllable image synt…
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise
Chen Feng, Georgios Tzimiropoulos, Ioannis Patras
Despite the large progress in supervised learning with neural networks, there are significant challenges in obtaining high-quality, large-scale and accurately labelled datasets. In…
WarpedGANSpace: Finding non-linear RBF paths in GAN latent space
Christos Tzelepis, Georgios Tzimiropoulos, Ioannis Patras
This work addresses the problem of discovering, in an unsupervised manner, interpretable paths in the latent space of pretrained GANs, so as to provide an intuitive and easy way of…
DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval
Giorgos Kordopatis-Zilos, Christos Tzelepis, Symeon Papadopoulos +2
In this paper, we address the problem of high performance and computationally efficient content-based video retrieval in large-scale datasets. Current methods typically propose eit…
Few-Shot Action Localization without Knowing Boundaries
Ting-Ting Xie, Christos Tzelepis, Fan Fu +1
Learning to localize actions in long, cluttered, and untrimmed videos is a hard task, that in the literature has typically been addressed assuming the availability of large amounts…
Relationship-based Neural Baby Talk
Fan Fu, Tingting Xie, Ioannis Patras +1
Understanding interactions between objects in an image is an important element for generating captions. In this paper, we propose a relationship-based neural baby talk (R-NBT) mode…