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20102024
most citedDivClust: Controlling Diversity in Deep Clustering

2 citations · 4 across the 14 of their papers we have counts for

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12 papers · 1 filter

cs.CV2024

Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing

Ioannis Maniadis Metaxas, Georgios Tzimiropoulos, Ioannis Patras

Self-supervised learning has recently emerged as the preeminent pretraining paradigm across and between modalities, with remarkable results. In the image domain specifically, group…

cs.CV2024

MeMSVD: Long-Range Temporal Structure Capturing Using Incremental SVD

Ioanna Ntinou, Enrique Sanchez, Georgios Tzimiropoulos

This paper is on long-term video understanding where the goal is to recognise human actions over long temporal windows (up to minutes long). In prior work, long temporal context is…

cs.CV2024

LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition

Zhonglin Sun, Chen Feng, Ioannis Patras +1

In this work we focus on learning facial representations that can be adapted to train effective face recognition models, particularly in the absence of labels. Firstly, compared wi…

cs.CV2024

One-shot Neural Face Reenactment via Finding Directions in GAN's Latent Space

Stella Bounareli, Christos Tzelepis, Vasileios Argyriou +2

In this paper, we present our framework for neural face/head reenactment whose goal is to transfer the 3D head orientation and expression of a target face to a source face. Previou…

cs.CV2024

You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation

Mehdi Noroozi, Isma Hadji, Brais Martinez +2

In this paper, we introduce YONOS-SR, a novel stable diffusion-based approach for image super-resolution that yields state-of-the-art results using only a single DDIM step. We prop…

cs.CV2023

A Simple Baseline for Knowledge-Based Visual Question Answering

Alexandros Xenos, Themos Stafylakis, Ioannis Patras +1

This paper is on the problem of Knowledge-Based Visual Question Answering (KB-VQA). Recent works have emphasized the significance of incorporating both explicit (through external d…