Ricardo Kleinlein

Orcid: 0000-0002-7313-7601

According to our database1, Ricardo Kleinlein authored at least 15 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Interpreting Sign Language Recognition using Transformers and MediaPipe Landmarks.
Proceedings of the 25th International Conference on Multimodal Interaction, 2023

Video Memorability Prediction From Jointly-learnt Semantic and Visual Features.
Proceedings of the 20th International Conference on Content-based Multimedia Indexing, 2023

2022
Language Does More Than Describe: On The Lack Of Figurative Speech in Text-To-Image Models.
CoRR, 2022

Understanding Media Memorability From Event-Related Potential Records And Visual Semantics.
Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

Sampling Based On Natural Image Statistics Improves Local Surrogate Explainers.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning.
Sensors, 2021

GTH-UPM at DETOXIS-IberLEF 2021: Automatic Detection of Toxic Comments in Social Networks.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2021) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2021), 2021

THAU-UPM at MediaEval 2021: From Video Semantics To Memorability Using Pretrained Transformers.
Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

GTH-UPM System for Albayzin Multimodal Diarization Challenge 2020.
Proceedings of the Fifth International Conference, 2021

2020
Spotting celebrities among peers in a TV show: how to exploit web querying for weakly supervised visual diarization.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

Predicting Media Memorability from a Multimodal Late Fusion of Self-Attention and LSTM Models.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

2019
Project CAVIAR CApturing VIewers' Affective Response.
Proces. del Leng. Natural, 2019

Persistence of data-driven knowledge to predict breast cancer survival.
Int. J. Medical Informatics, 2019

A multi-threshold approach and a realistic error measure for vanishing point detection in natural landscapes.
Eng. Appl. Artif. Intell., 2019

Predicting Group-Level Skin Attention to Short Movies from Audio-Based LSTM-Mixture of Experts Models.
Proceedings of the Interspeech 2019, 2019


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