activity
20172021
most citedDyadformer: A Multi-modal Transformer for Long-Range Modeling of Dyadic Interactions

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

collaborators

5 papers

cs.CV2021★ 1 cited

Dyadformer: A Multi-modal Transformer for Long-Range Modeling of Dyadic Interactions

David Curto, Albert Clapés, Javier Selva +8

Personality computing has become an emerging topic in computer vision, due to the wide range of applications it can be used for. However, most works on the topic have focused on an…

cs.CV2020

Context-Aware Personality Inference in Dyadic Scenarios: Introducing the UDIVA Dataset

Cristina Palmero, Javier Selva, Sorina Smeureanu +8

This paper introduces UDIVA, a new non-acted dataset of face-to-face dyadic interactions, where interlocutors perform competitive and collaborative tasks with different behavior el…

cs.CV2018

Real-Time Deep Learning Method for Abandoned Luggage Detection in Video

Sorina Smeureanu, Radu Tudor Ionescu

Recent terrorist attacks in major cities around the world have brought many casualties among innocent citizens. One potential threat is represented by abandoned luggage items (that…

cs.CV2018★ 1 cited

Detecting abnormal events in video using Narrowed Normality Clusters

Radu Tudor Ionescu, Sorina Smeureanu, Marius Popescu +1

We formulate the abnormal event detection problem as an outlier detection task and we propose a two-stage algorithm based on k-means clustering and one-class Support Vector Machine…

cs.CV2017

Unmasking the abnormal events in video

Radu Tudor Ionescu, Sorina Smeureanu, Bogdan Alexe +1

We propose a novel framework for abnormal event detection in video that requires no training sequences. Our framework is based on unmasking, a technique previously used for authors…