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Ricardo Kleinlein
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2020 – today
- 2023
- [c12]Iván Martín-Fernández, Ricardo Kleinlein, Cristina Luna Jiménez, Manuel Gil-Martín, Fernando Fernández Martínez:
Video Memorability Prediction From Jointly-learnt Semantic and Visual Features. CBMI 2023: 178-182 - [c11]Cristina Luna Jiménez, Manuel Gil-Martín, Ricardo Kleinlein, Rubén San Segundo, Fernando Fernández Martínez:
Interpreting Sign Language Recognition using Transformers and MediaPipe Landmarks. ICMI 2023: 373-377 - 2022
- [c10]Ricardo Kleinlein, Alexander Hepburn, Raúl Santos-Rodríguez, Fernando Fernández Martínez:
Sampling Based On Natural Image Statistics Improves Local Surrogate Explainers. BMVC 2022: 1083 - [c9]Cristina Luna Jiménez, Ricardo Kleinlein, Syaheerah Lebai Lutfi, Juan Manuel Montero, Fernando Fernández Martínez:
Analysis of Trustworthiness Recognition models from an aural and emotional perspective. IberSPEECH 2022: 81-85 - [c8]Cristina Luna Jiménez, Syaheerah Lebai Lutfi, Manuel Gil-Martín, Ricardo Kleinlein, Juan Manuel Montero, Fernando Fernández Martínez:
Measuring trust at zero-acquaintance using acted-emotional videos. IberSPEECH 2022: 206-210 - [c7]Ricardo Kleinlein, Enrique Rodríguez Sebastián, Fernando Fernández Martínez:
Understanding Media Memorability From Event-Related Potential Records And Visual Semantics. MediaEval 2022 - [i2]Ricardo Kleinlein, Alexander Hepburn, Raúl Santos-Rodríguez, Fernando Fernández Martínez:
Sampling Based On Natural Image Statistics Improves Local Surrogate Explainers. CoRR abs/2208.03961 (2022) - [i1]Ricardo Kleinlein, Cristina Luna Jiménez, Fernando Fernández Martínez:
Language Does More Than Describe: On The Lack Of Figurative Speech in Text-To-Image Models. CoRR abs/2210.10578 (2022) - 2021
- [j4]Cristina Luna Jiménez, David Griol, Zoraida Callejas, Ricardo Kleinlein, Juan Manuel Montero, Fernando Fernández Martínez:
Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning. Sensors 21(22): 7665 (2021) - [c6]Cristina Luna Jiménez, Ricardo Kleinlein, Fernando Fernández Martínez, José Manuel Pardo Muñoz, José Manuel Moya-Fernández:
GTH-UPM System for Albayzin Multimodal Diarization Challenge 2020. IberSPEECH 2021 - [c5]Ricardo Kleinlein, Cristina Luna Jiménez, Fernando Fernández Martínez:
THAU-UPM at MediaEval 2021: From Video Semantics To Memorability Using Pretrained Transformers. MediaEval 2021 - [c4]Sergio Esteban Romero, Ricardo Kleinlein, Cristina Luna Jiménez, Juan Manuel Montero, Fernando Fernández Martínez:
GTH-UPM at DETOXIS-IberLEF 2021: Automatic Detection of Toxic Comments in Social Networks. IberLEF@SEPLN 2021: 533-546 - 2020
- [c3]Ricardo Kleinlein, Cristina Luna Jiménez, Zoraida Callejas, Fernando Fernández Martínez:
Predicting Media Memorability from a Multimodal Late Fusion of Self-Attention and LSTM Models. MediaEval 2020 - [c2]Cristina Luna Jiménez, Ricardo Kleinlein, Fernando Fernández Martínez, José Manuel Moya, Zoraida Callejas, José Manuel Pardo Muñoz:
Spotting celebrities among peers in a TV show: how to exploit web querying for weakly supervised visual diarization. WI/IAT 2020: 877-884
2010 – 2019
- 2019
- [j3]Álvaro García-Faura, Fernando Fernández Martínez, Ricardo Kleinlein, Rubén San-Segundo-Hernández, Fernando Díaz-de-María:
A multi-threshold approach and a realistic error measure for vanishing point detection in natural landscapes. Eng. Appl. Artif. Intell. 85: 713-726 (2019) - [j2]Ricardo Kleinlein, David Riaño:
Persistence of data-driven knowledge to predict breast cancer survival. Int. J. Medical Informatics 129: 303-311 (2019) - [j1]Fernando Fernández Martínez, Zoraida Callejas, Ricardo Kleinlein, Cristina Luna Jiménez, Juan Manuel Montero, José Manuel Pardo:
Project CAVIAR CApturing VIewers' Affective Response. Proces. del Leng. Natural 63: 155-158 (2019) - [c1]Ricardo Kleinlein, Cristina Luna Jiménez, Juan Manuel Montero, Zoraida Callejas, Fernando Fernández Martínez:
Predicting Group-Level Skin Attention to Short Movies from Audio-Based LSTM-Mixture of Experts Models. INTERSPEECH 2019: 61-65
Coauthor Index
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last updated on 2024-07-08 21:23 CEST by the dblp team
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