activity
20172022
most citedVideo Transformers: A Survey

168 citations · 195 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 168 cited

Video Transformers: A Survey

Javier Selva, Anders S. Johansen, Sergio Escalera +3

Transformer models have shown great success handling long-range interactions, making them a promising tool for modeling video. However, they lack inductive biases and scale quadrat…

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★ 26 cited

Recurrent CNN for 3D Gaze Estimation using Appearance and Shape Cues

Cristina Palmero, Javier Selva, Mohammad Ali Bagheri +1

Gaze behavior is an important non-verbal cue in social signal processing and human-computer interaction. In this paper, we tackle the problem of person- and head pose-independent 3…

cs.CV2017

Folded Recurrent Neural Networks for Future Video Prediction

Marc Oliu, Javier Selva, Sergio Escalera

Future video prediction is an ill-posed Computer Vision problem that recently received much attention. Its main challenges are the high variability in video content, the propagatio…