activity
20162022
most citedSoccerNet 2022 Challenges Results

37 citations · 166 across the 30 of their papers we have counts for

collaborators
Showing cs.CVShow all

47 papers · 1 filter

cs.CV2021

SAIC_Cambridge-HuPBA-FBK Submission to the EPIC-Kitchens-100 Action Recognition Challenge 2021

Swathikiran Sudhakaran, Adrian Bulat, Juan-Manuel Perez-Rua +5

This report presents the technical details of our submission to the EPIC-Kitchens-100 Action Recognition Challenge 2021. To participate in the challenge we deployed spatio-temporal…

cs.CV20211 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.CV20214 cited

Multi-Modal Zero-Shot Sign Language Recognition

Razieh Rastgoo, Kourosh Kiani, Sergio Escalera +1

Zero-Shot Learning (ZSL) has rapidly advanced in recent years. Towards overcoming the annotation bottleneck in the Sign Language Recognition (SLR), we explore the idea of Zero-Shot…

cs.CV20211 cited

ZS-SLR: Zero-Shot Sign Language Recognition from RGB-D Videos

Razieh Rastgoo, Kourosh Kiani, Sergio Escalera

Sign Language Recognition (SLR) is a challenging research area in computer vision. To tackle the annotation bottleneck in SLR, we formulate the problem of Zero-Shot Sign Language R…

cs.CV20211 cited

3D High-Fidelity Mask Face Presentation Attack Detection Challenge

Ajian Liu, Chenxu Zhao, Zitong Yu +8

The threat of 3D masks to face recognition systems is increasingly serious and has been widely concerned by researchers. To facilitate the study of the algorithms, a large-scale Hi…

cs.CV20214 cited

ChaLearn Looking at People: Inpainting and Denoising challenges

Sergio Escalera, Marti Soler, Stephane Ayache +6

Dealing with incomplete information is a well studied problem in the context of machine learning and computational intelligence. However, in the context of computer vision, the pro…