52 citations · 99 across the 32 of their papers we have counts for
6 papers · 1 filter
Design-time Fashion Popularity Forecasting in VR Environments
Stefanos-Iordanis Papadopoulos, Christos Koutlis, Anastasios Papazoglou-Chalikias +2
Being able to forecast the popularity of new garment designs is very important in an industry as fast paced as fashion, both in terms of profitability and reducing the problem of u…
Leveraging Large-scale Multimedia Datasets to Refine Content Moderation Models
Ioannis Sarridis, Christos Koutlis, Olga Papadopoulou +1
The sheer volume of online user-generated content has rendered content moderation technologies essential in order to protect digital platform audiences from content that may cause…
VICTOR: Visual Incompatibility Detection with Transformers and Fashion-specific contrastive pre-training
Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos +1
For fashion outfits to be considered aesthetically pleasing, the garments that constitute them need to be compatible in terms of visual aspects, such as style, category and color.…
Multimodal Quasi-AutoRegression: Forecasting the visual popularity of new fashion products
Stefanos I. Papadopoulos, Christos Koutlis, Symeon Papadopoulos +1
Estimating the preferences of consumers is of utmost importance for the fashion industry as appropriately leveraging this information can be beneficial in terms of profit. Trend de…
MemeTector: Enforcing deep focus for meme detection
Christos Koutlis, Manos Schinas, Symeon Papadopoulos
Image memes and specifically their widely-known variation image macros, is a special new media type that combines text with images and is used in social media to playfully or subtl…
InDistill: Information flow-preserving knowledge distillation for model compression
Ioannis Sarridis, Christos Koutlis, Giorgos Kordopatis-Zilos +2
In this paper, we introduce InDistill, a method that serves as a warmup stage for enhancing Knowledge Distillation (KD) effectiveness. InDistill focuses on transferring critical in…