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Octavio Arriaga
Octavio Arriaga
Researcher, Bremen University
在 dfki.de 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Real-time Convolutional Neural Networks for emotion and gender classification.
O Arriaga, M Valdenegro-Toro, P Plöger
ESANN, 2019
4442019
Optimization of convolutional neural network hyperparameters for automatic classification of adult mosquitoes
D Motta, AÁB Santos, BAS Machado, OGV Ribeiro-Filho, LOA Camargo, ...
Plos one 15 (7), e0234959, 2020
502020
Perception for autonomous systems (paz)
O Arriaga, M Valdenegro-Toro, M Muthuraja, S Devaramani, F Kirchner
arXiv preprint arXiv:2010.14541, 2020
192020
Real-time convolutional neural networks for emotion and gender classification. arXiv 2017
O Arriaga, M Valdenegro-Toro, P Plöger
arXiv preprint arXiv:1710.07557, 0
19
Image captioning and classification of dangerous situations
O Arriaga, P Plöger, M Valdenegro-Toro
arXiv preprint arXiv:1711.02578, 2017
62017
Robot dance generation with music based trajectory optimization
M Boukheddimi, D Harnack, S Kumar, R Kumar, S Vyas, O Arriaga, ...
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
52022
Synchronization of dumbbell satellites: generalized hamiltonian systems approach
LO Arriaga-Camargo, R Martınez-Clark, C Cruz-Hernández, ...
Nonlinear Dynamics and Systems Theory 15 (4), 334-343, 2015
32015
Sanity checks for saliency methods explaining object detectors
DC Padmanabhan, PG Plöger, O Arriaga, M Valdenegro-Toro
World Conference on Explainable Artificial Intelligence, 438-455, 2023
22023
Difficulty estimation with action scores for computer vision tasks
O Arriaga, S Palacio, M Valdenegro-Toro
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
22023
A Bayesian Approach to Context-based Recognition of Human Intention for Context-Adaptive Robot Assistance in Space Missions
A Lubitz, O Arriaga, T Hassan, N Hoyer, EA Kirchner
Poster presented at SpaceCHI 2.0: Human-Computer Interaction for Space …, 2022
22022
DExT: Detector Explanation Toolkit
DC Padmanabhan, PG Plöger, O Arriaga, M Valdenegro-Toro
World Conference on Explainable Artificial Intelligence, 433-456, 2023
12023
Unsupervised Difficulty Estimation with Action Scores
O Arriaga, M Valdenegro-Toro
arXiv preprint arXiv:2011.11461, 2020
12020
Black-Box Optimization of Object Detector Scales
M Muthuraja, O Arriaga, P Plöger, F Kirchner, M Valdenegro-Toro
arXiv preprint arXiv:2010.15823, 2020
12020
Learning of Multi-Context Models for Autonomous Underwater Vehicles
B Wehbe, O Arriaga, MM Krell, F Kirchner
2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV), 1-6, 2018
12018
Sanity Checks for Saliency Methods Explaining Object Detectors
D Chakravarthi Padmanabhan, PG Plöger, O Arriaga, M Valdenegro-Toro
arXiv e-prints, arXiv: 2306.02424, 2023
2023
PhysWM: Physical World Models for Robot Learning.
M Otto, O Arriaga, C Singh, J Guo, F Kirchner
NeSy, 268-278, 2023
2023
DExT: Detector Explanation Toolkit
D Chakravarthi Padmanabhan, PG Plöger, O Arriaga, M Valdenegro-Toro
arXiv e-prints, arXiv: 2212.11409, 2022
2022
Scene understanding through Deep Learning
LO Arriaga Camargo
Technical Report/Hochschule Bonn-Rhein-Sieg-University of Applied Sciences …, 2017
2017
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