| Panoptic nuscenes: A large-scale benchmark for lidar panoptic segmentation and tracking WK Fong, R Mohan, JV Hurtado, L Zhou, H Caesar, O Beijbom, A Valada IEEE Robotics and Automation Letters 7 (2), 3795-3802, 2022 | 138 | 2022 |
| There is more than meets the eye: Self-supervised multi-object detection and tracking with sound by distilling multimodal knowledge FR Valverde, JV Hurtado, A Valada Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 79 | 2021 |
| Mopt: Multi-object panoptic tracking JV Hurtado, R Mohan, W Burgard, A Valada arXiv preprint arXiv:2004.08189, 2020 | 69 | 2020 |
| From learning to relearning: A framework for diminishing bias in social robot navigation JV Hurtado, L Londoño, A Valada Frontiers in Robotics and AI 8, 650325, 2021 | 38 | 2021 |
| Semantic scene segmentation for robotics JV Hurtado, A Valada Deep learning for robot perception and cognition, 279-311, 2022 | 23 | 2022 |
| Motor imagery classification using feature relevance analysis: An Emotiv-based BCI system J Hurtado-Rincon, S Rojas-Jaramillo, Y Ricardo-Cespedes, ... 2014 XIX Symposium on Image, Signal Processing and Artificial Vision, 1-5, 2014 | 17 | 2014 |
| Identification of relevant inter-channel EEG connectivity patterns: a kernel-based supervised approach JV Hurtado-Rincón, JD Martínez-Vargas, S Rojas-Jaramillo, E Giraldo, ... Brain Informatics and Health: International Conference, BIH 2016, Omaha, NE …, 2016 | 8 | 2016 |
| Supervised piecewise network connectivity analysis for enhanced confidence of auditory oddball tasks JI Padilla-Buritica, JV Hurtado, G Castellanos-Dominguez Biomedical Signal Processing and Control 52, 341-346, 2019 | 7 | 2019 |
| Chapter 12-Semantic scene segmentation for robotics JV Hurtado, A Valada Deep Learning for Robot Perception and Cognition. Ed. by Alexandros …, 2022 | 5 | 2022 |
| Functional connectivity analysis using the oddball auditory paradigm for attention tasks JV Hurtado-Rincón, F Restrepo, JI Padilla, HF Torres, ... Brain Informatics: International Conference, BI 2018, Arlington, TX, USA …, 2018 | 4 | 2018 |
| Feminist perspective on robot learning processes JV Hurtado, V Mejia arXiv preprint arXiv:2201.10853, 2022 | 3 | 2022 |
| Fairness and Bias in Robot Learning L Londoño, JV Hurtado, N Hertz, P Kellmeyer, S Voeneky, A Valada arXiv preprint arXiv:2207.03444, 2022 | 2 | 2022 |
| EEG Channel Relevance Analysis Using Maximum Mean Discrepancy on BCI Systems DF Luna-Naranjo, JV Hurtado-Rincon, D Cárdenas-Peña, VH Castro, ... Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2019 | 1 | 2019 |
| Panoptic Out-of-Distribution Segmentation R Mohan, K Kumaraswamy, JV Hurtado, K Petek, A Valada IEEE Robotics and Automation Letters, 2024 | | 2024 |
| Brain connectivity-patterns representation based on electroencephalography network analysis JV Hurtado Rincón Departamento de Ingeniería Eléctrica, Electrónica y Computación, 2018 | | 2018 |
| Inclusion of temporal constraints in the EEG inverse problem: A comparative study JVH Rincón, JSC Candamil, CGC Dominguez Symposium of Signals, Images and Artificial Vision-2013: STSIVA-2013, 1-4, 2013 | | 2013 |
Abhinav ValadaProfessor & Director of Robot Learning Lab, University of FreiburgAdresse e-mail validée de cs.uni-freiburg.de
