488 citations · 1.6k across the 81 of their papers we have counts for
16 papers · 1 filter
Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder
Joakim Bruslund Haurum, Meysam Madadi, Sergio Escalera +1
The sewerage infrastructure is one of the most important and expensive infrastructures in modern society. In order to efficiently manage the sewerage infrastructure, automated sewe…
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…
Neural Implicit Surfaces for Efficient and Accurate Collisions in Physically Based Simulations
Hugo Bertiche, Meysam Madadi, Sergio Escalera
Current trends in the computer graphics community propose leveraging the massive parallel computational power of GPUs to accelerate physically based simulations. Collision detectio…
Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking Platform
Zhen Xu, Sergio Escalera, Isabelle Guyon +5
Obtaining standardized crowdsourced benchmark of computational methods is a major issue in data science communities. Dedicated frameworks enabling fair benchmarking in a unified en…
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…
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…
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…
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…
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…
Deep unsupervised 3D human body reconstruction from a sparse set of landmarks
Meysam Madadi, Hugo Bertiche, Sergio Escalera
In this paper we propose the first deep unsupervised approach in human body reconstruction to estimate body surface from a sparse set of landmarks, so called DeepMurf. We apply a d…
ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research
Ozge Mercanoglu Sincan, Julio C. S. Jacques Junior, Sergio Escalera +1
The performances of Sign Language Recognition (SLR) systems have improved considerably in recent years. However, several open challenges still need to be solved to allow SLR to be…
The EMPATHIC Project: Mid-term Achievements
M. I. Torres, J. M. Olaso, C. Montenegro +26
The goal of active aging is to promote changes in the elderly community so as to maintain an active, independent and socially-engaged lifestyle. Technological advancements currentl…
Deep learning with self-supervision and uncertainty regularization to count fish in underwater images
Penny Tarling, Mauricio Cantor, Albert Clapés +1
Effective conservation actions require effective population monitoring. However, accurately counting animals in the wild to inform conservation decision-making is difficult. Monito…
Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detection
Ajian Liu, Chenxu Zhao, Zitong Yu +11
Face presentation attack detection (PAD) is essential to secure face recognition systems primarily from high-fidelity mask attacks. Most existing 3D mask PAD benchmarks suffer from…
Sign Language Production: A Review
Razieh Rastgoo, Kourosh Kiani, Sergio Escalera +1
Sign Language is the dominant yet non-primary form of communication language used in the deaf and hearing-impaired community. To make an easy and mutual communication between the h…
Learning to Recognize Actions on Objects in Egocentric Video with Attention Dictionaries
Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz
We present EgoACO, a deep neural architecture for video action recognition that learns to pool action-context-object descriptors from frame level features by leveraging the verb-no…