Abhinav Valada

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Wolfram BurgardProfessor of Computer Science, Technical University of NurembergEmail yang diverifikasi di utn.de
Thomas BroxUniversity of FreiburgEmail yang diverifikasi di cs.uni-freiburg.de
Noha RadwanInceptiveEmail yang diverifikasi di inceptive.team
George KantorResearch Professor, Carnegie Mellon UniversityEmail yang diverifikasi di ri.cmu.edu
Gabriel Leivas OliveiraBorealis AIEmail yang diverifikasi di informatik.uni-freiburg.de
Paul ScerriAssociate Research Professor, Carnegie Mellon UniversityEmail yang diverifikasi di cs.cmu.edu
Joschka BoedeckerProfessor of Computer Science, University of Freiburg, GermanyEmail yang diverifikasi di informatik.uni-freiburg.de
Jens KoberAssociate Professor, CoR, TU DelftEmail yang diverifikasi di tudelft.nl
Frank HutterELLIS Institute Tübingen & Professor, University of Freiburg, GermanyEmail yang diverifikasi di cs.uni-freiburg.de
Jeannette BohgAssistant Professor, Stanford UniversityEmail yang diverifikasi di stanford.edu
Michael BeetzIntitute for Artificial Intelligence, Computer Science Department, University of BremenEmail yang diverifikasi di cs.uni-bremen.de
Robert BabuskaProfessor, Delft University of Technology, Czech Technical University PragueEmail yang diverifikasi di tudelft.nl
Sethu VijayakumarProfessor of Robotics, University of Edinburgh; Programme Director at The Alan Turing Institute, UKEmail yang diverifikasi di ed.ac.uk
John M. DolanThe Robotics Institute, Carnegie Mellon UniversityEmail yang diverifikasi di andrew.cmu.edu
Maurice FallonAssociate Professor, University of OxfordEmail yang diverifikasi di robots.ox.ac.uk
Liam PaullAssociate Professor - University of MontrealEmail yang diverifikasi di iro.umontreal.ca

Ikuti

Abhinav Valada

Professor & Director of Robot Learning Lab, University of Freiburg

Email yang diverifikasi di cs.uni-freiburg.de - Beranda

Robotics Machine Learning Computer Vision Artificial Intelligence


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Self-Supervised Model Adaptation for Multimodal Semantic Segmentation A Valada, R Mohan, W Burgard International Journal of Computer Vision (IJCV) 128 (Deep Learning for …, 2019	318	2019
Deep Auxiliary Learning for Visual Localization and Odometry A Valada, N Radwan, W Burgard 2018 IEEE International Conference on Robotics and Automation (ICRA), 6939-6946, 2018	317	2018
VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry N Radwan, A Valada, W Burgard IEEE Robotics and Automation Letters (RA-L) 3 (4), 4407-4414, 2018	315	2018
EfficientPS: Efficient Panoptic Segmentation R Mohan, A Valada International Journal of Computer Vision (IJCV) 129 (5), 1551–1579, 2021	279	2021
Deep multispectral semantic scene understanding of forested environments using multimodal fusion A Valada, GL Oliveira, T Brox, W Burgard 2016 international symposium on experimental robotics, 465-477, 2017	260	2017
AdapNet: Adaptive Semantic Segmentation in Adverse Environmental Conditions A Valada, J Vertens, A Dhall, W Burgard 2017 IEEE International Conference on Robotics & Automation (ICRA), 2017	259	2017
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, 2022	196	2022
LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM D Cattaneo, M Vaghi, A Valada IEEE Transactions on Robotics 38 (4), 2074-2093, 2022	189	2022
Deep Learning for Human Part Discovery in Images GL Oliveira, A Valada, C Bollen, W Burgard, T Brox IEEE International Conference on Robotics and Automation, 2016	135	2016
Self-Supervised Visual Terrain Classification from Unsupervised Acoustic Feature Learning J Zürn, W Burgard, A Valada IEEE Transactions on Robotics 37 (2), 466-481, 2021	111	2021
EfficientLPS: Efficient LiDAR Panoptic Segmentation K Sirohi, R Mohan, D Büscher, W Burgard, A Valada IEEE Transactions on Robotics (T-RO) 38 (3), 1894-1914, 2021	100	2021
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 IEEE/CVF International Conference on Computer Vision and Pattern Recognition …, 2021	93	2021
SMSnet: Semantic Motion Segmentation Using Deep Convolutional Neural Networks J Vertens, A Valada, W Burgard 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017	90	2017
Development of a Low Cost Multi-Robot Autonomous Marine Surface Platform A Valada, P Velagapudi, B Kannan, C Tomaszewski, G Kantor, P Scerri Field and Service Robotics, 643-658, 2014	89	2014
Deep Feature Learning for Acoustics-based Terrain Classification A Valada, L Spinello, W Burgard Proceedings of the International Symposium on Robotics Research (ISRR), 2015	85	2015
Deep Spatiotemporal Models for Robust Proprioceptive Terrain Classification A Valada, W Burgard The International Journal of Robotics Research 36 (13-14), 1521-1539, 2017	79	2017
MOPT: Multi-Object Panoptic Tracking JV Hurtado, R Mohan, W Burgard, A Valada Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	77	2020
Bird’s-eye-view panoptic segmentation using monocular frontal view images N Gosala, A Valada IEEE Robotics and Automation Letters 7 (2), 1968-1975, 2022	76	2022
Vision-Based Autonomous UAV Navigation and Landing for Urban Search and Rescue M Mittal, R Mohan, W Burgard, A Valada Proceedings of the International Symposium on Robotics Research (ISRR), 2019	76	2019
Autonomous Indoor Robot Navigation Using a Sketch Interface for Drawing Maps and Routes F Boniardi, A Valada, W Burgard, GD Tipaldi 2016 IEEE International Conference on Robotics and Automation (ICRA), 2896-2901, 2016	72	2016

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