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2020 – today
- 2023
[j22]Abdelrahman Younes
, Daniel Honerkamp, Tim Welschehold, Abhinav Valada:
Catch Me if You Hear Me: Audio-Visual Navigation in Complex Unmapped Environments With Moving Sounds. IEEE Robotics Autom. Lett. 8(2): 928-935 (2023)- [j21]José Arce, Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada:
PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration Using Panoptic Attention. IEEE Robotics Autom. Lett. 8(3): 1319-1326 (2023) - [i54]Nikhil Gosala, Kürsat Petek, Paulo L. J. Drews-Jr, Wolfram Burgard, Abhinav Valada:
SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images. CoRR abs/2302.04233 (2023) - [i53]Martin Büchner, Jannik Zürn, Ion-George Todoran, Abhinav Valada, Wolfram Burgard:
Learning and Aggregating Lane Graphs for Urban Automated Driving. CoRR abs/2302.06175 (2023) - [i52]Christopher Lang, Alexander Braun, Lars Schillingmann, Karsten Haug, Abhinav Valada:
Self-Supervised Representation Learning from Temporal Ordering of Automated Driving Sequences. CoRR abs/2302.09043 (2023) - [i51]Monish R. Nallapareddy, Kshitij Sirohi, Paulo L. J. Drews-Jr, Wolfram Burgard, Chih-Hong Cheng, Abhinav Valada:
EvCenterNet: Uncertainty Estimation for Object Detection using Evidential Learning. CoRR abs/2303.03037 (2023) - [i50]Niclas Vödisch, Kürsat Petek, Wolfram Burgard, Abhinav Valada:
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation. CoRR abs/2303.10147 (2023) - [i49]Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada:
CoVIO: Online Continual Learning for Visual-Inertial Odometry. CoRR abs/2303.10149 (2023) - [i48]Nick Heppert, Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Rares Andrei Ambrus, Jeannette Bohg, Abhinav Valada, Thomas Kollar:
CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects. CoRR abs/2303.15782 (2023) - [i47]Julia Hindel, Nikhil Gosala, Kevin Bregler, Abhinav Valada:
INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields. CoRR abs/2303.18101 (2023) - [i46]Christopher Lang, Alexander Braun, Lars Schillingmann, Abhinav Valada:
Self-Supervised Multi-Object Tracking From Consistency Across Timescales. CoRR abs/2304.13147 (2023) - [i45]Jan Ole von Hartz, Eugenio Chisari, Tim Welschehold, Wolfram Burgard, Joschka Boedecker, Abhinav Valada:
The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation. CoRR abs/2305.04718 (2023) - 2022
- [j20]Carlos Celemin, Rodrigo Pérez-Dattari, Eugenio Chisari, Giovanni Franzese, Leandro de Souza Rosa, Ravi Prakash, Zlatan Ajanovic, Marta Ferraz, Abhinav Valada, Jens Kober:
Interactive Imitation Learning in Robotics: A Survey. Found. Trends Robotics 10(1-2): 1-197 (2022) - [j19]Nikhil Gosala, Abhinav Valada:
Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images. IEEE Robotics Autom. Lett. 7(2): 1968-1975 (2022) - [j18]Adrian Röfer, Georg Bartels, Wolfram Burgard, Abhinav Valada, Michael Beetz:
Kineverse: A Symbolic Articulation Model Framework for Model-Agnostic Mobile Manipulation. IEEE Robotics Autom. Lett. 7(2): 3372-3379 (2022) - [j17]Borna Besic, Nikhil Gosala, Daniele Cattaneo, Abhinav Valada:
Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation. IEEE Robotics Autom. Lett. 7(2): 3404-3411 (2022) - [j16]Eugenio Chisari, Tim Welschehold, Joschka Boedecker, Wolfram Burgard, Abhinav Valada:
Correct Me If I am Wrong: Interactive Learning for Robotic Manipulation. IEEE Robotics Autom. Lett. 7(2): 3695-3702 (2022) - [j15]Whye Kit Fong, Rohit Mohan, Juana Valeria Hurtado, Lubing Zhou, Holger Caesar, Oscar Beijbom, Abhinav Valada:
Panoptic Nuscenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking. IEEE Robotics Autom. Lett. 7(2): 3795-3802 (2022) - [j14]Rohit Mohan, Abhinav Valada:
Perceiving the Invisible: Proposal-Free Amodal Panoptic Segmentation. IEEE Robotics Autom. Lett. 7(4): 9302-9309 (2022) - [j13]Martin Büchner, Abhinav Valada:
3D Multi-Object Tracking Using Graph Neural Networks With Cross-Edge Modality Attention. IEEE Robotics Autom. Lett. 7(4): 9707-9714 (2022) - [j12]Borna Besic, Abhinav Valada:
Dynamic Object Removal and Spatio-Temporal RGB-D Inpainting via Geometry-Aware Adversarial Learning. IEEE Trans. Intell. Veh. 7(2): 170-185 (2022) - [j11]Kshitij Sirohi, Rohit Mohan, Daniel Büscher, Wolfram Burgard, Abhinav Valada:
EfficientLPS: Efficient LiDAR Panoptic Segmentation. IEEE Trans. Robotics 38(3): 1894-1914 (2022) - [j10]Daniele Cattaneo, Matteo Vaghi, Abhinav Valada:
LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM. IEEE Trans. Robotics 38(4): 2074-2093 (2022) - [c22]Rohit Mohan, Abhinav Valada:
Amodal Panoptic Segmentation. CVPR 2022: 20991-21000 - [c21]Christopher Lang, Alexander Braun, Abhinav Valada:
Robust Object Detection Using Knowledge Graph Embeddings. GCPR 2022: 445-461 - [c20]Christopher Lang, Alexander Braun, Lars Schillingmann, Abhinav Valada:
On Hyperbolic Embeddings in Object Detection. GCPR 2022: 462-476 - [c19]Iman Nematollahi, Erick Rosete-Beas, Adrian Röfer, Tim Welschehold, Abhinav Valada, Wolfram Burgard:
Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models. ICRA 2022: 8651-8657 - [c18]Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, O. Green, Alexandros Iosifidis, E. Kayacan, Jens Kober, O. Michel, Nikos Nikolaidis, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas:
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. IROS 2022: 12479-12484 - [c17]Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada:
Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping Through Continual Learning. ISRR 2022: 19-35 - [c16]Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold, Abhinav Valada:
Learning Long-Horizon Robot Exploration Strategies for Multi-object Search in Continuous Action Spaces. ISRR 2022: 52-66 - [i44]Laura Londoño, Adrian Röfer, Tim Welschehold, Abhinav Valada:
Doing Right by Not Doing Wrong in Human-Robot Collaboration. CoRR abs/2202.02654 (2022) - [i43]Thomas Elsken, Arber Zela, Jan Hendrik Metzen, Benedikt Staffler, Thomas Brox, Abhinav Valada, Frank Hutter:
Neural Architecture Search for Dense Prediction Tasks in Computer Vision. CoRR abs/2202.07242 (2022) - [i42]Rohit Mohan, Abhinav Valada:
Amodal Panoptic Segmentation. CoRR abs/2202.11542 (2022) - [i41]Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, O. Green, Alexandros Iosifidis, E. Kayacan, Jens Kober, O. Michel, Nikolaos Nikolaidis, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas:
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. CoRR abs/2203.00403 (2022) - [i40]Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada:
Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping through Continual Learning. CoRR abs/2203.01578 (2022) - [i39]Christopher Lang, Alexander Braun, Abhinav Valada:
On Hyperbolic Embeddings in 2D Object Detection. CoRR abs/2203.08049 (2022) - [i38]Martin Büchner, Abhinav Valada:
3D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge Modality Attention. CoRR abs/2203.10926 (2022) - [i37]Jan Ole von Hartz, Eugenio Chisari, Tim Welschehold, Abhinav Valada:
Self-Supervised Learning of Multi-Object Keypoints for Robotic Manipulation. CoRR abs/2205.08316 (2022) - [i36]Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold, Abhinav Valada:
Learning Long-Horizon Robot Exploration Strategies for Multi-Object Search in Continuous Action Spaces. CoRR abs/2205.11384 (2022) - [i35]Rohit Mohan, Abhinav Valada:
Perceiving the Invisible: Proposal-Free Amodal Panoptic Segmentation. CoRR abs/2205.14637 (2022) - [i34]Daniel Honerkamp, Tim Welschehold, Abhinav Valada:
N2M2: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments. CoRR abs/2206.08737 (2022) - [i33]Laura Londoño, Juana Valeria Hurtado, Nora Hertz, Philipp Kellmeyer, Silja Voeneky, Abhinav Valada:
Fairness and Bias in Robot Learning. CoRR abs/2207.03444 (2022) - [i32]Lukás Hermann, Max Argus, Adrian Röfer, Abhinav Valada, Thomas Brox, Wolfram Burgard:
RobotIO: A Python Library for Robot Manipulation Experiments. CoRR abs/2207.13591 (2022) - [i31]Daniel Honerkamp, Suresh Guttikonda, Abhinav Valada:
Active Particle Filter Networks: Efficient Active Localization in Continuous Action Spaces and Large Maps. CoRR abs/2209.09646 (2022) - [i30]José Arce, Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada:
PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration using Panoptic Attention. CoRR abs/2209.09699 (2022) - [i29]Carlos Celemin, Rodrigo Pérez-Dattari, Eugenio Chisari, Giovanni Franzese, Leandro de Souza Rosa, Ravi Prakash, Zlatan Ajanovic, Marta Ferraz, Abhinav Valada, Jens Kober:
Interactive Imitation Learning in Robotics: A Survey. CoRR abs/2211.00600 (2022) - 2021
- [j9]Juana Valeria Hurtado, Laura Londoño, Abhinav Valada:
From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation. Frontiers Robotics AI 8: 650325 (2021) - [j8]Rohit Mohan, Abhinav Valada:
EfficientPS: Efficient Panoptic Segmentation. Int. J. Comput. Vis. 129(5): 1551-1579 (2021) - [j7]Daniel Honerkamp, Tim Welschehold, Abhinav Valada:
Learning Kinematic Feasibility for Mobile Manipulation Through Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 6(4): 6289-6296 (2021) - [j6]Peter Jakob, Manav Madan, Tobias Schmid-Schirling, Abhinav Valada:
Multi-Perspective Anomaly Detection. Sensors 21(16): 5311 (2021) - [j5]Jannik Zürn, Wolfram Burgard, Abhinav Valada:
Self-Supervised Visual Terrain Classification From Unsupervised Acoustic Feature Learning. IEEE Trans. Robotics 37(2): 466-481 (2021) - [c15]Francisco Rivera Valverde, Juana Valeria Hurtado, Abhinav Valada:
There Is More Than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking With Sound by Distilling Multimodal Knowledge. CVPR 2021: 11612-11621 - [i28]Juana Valeria Hurtado, Laura Londoño, Abhinav Valada:
From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation. CoRR abs/2101.02647 (2021) - [i27]Daniel Honerkamp, Tim Welschehold, Abhinav Valada:
Learning Kinematic Feasibility for Mobile Manipulation through Deep Reinforcement Learning. CoRR abs/2101.05325 (2021) - [i26]Kshitij Sirohi, Rohit Mohan, Daniel Büscher, Wolfram Burgard, Abhinav Valada:
EfficientLPS: Efficient LiDAR Panoptic Segmentation. CoRR abs/2102.08009 (2021) - [i25]Francisco Rivera Valverde, Juana Valeria Hurtado, Abhinav Valada:
There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge. CoRR abs/2103.01353 (2021) - [i24]Daniele Cattaneo, Matteo Vaghi, Abhinav Valada:
LCDNet: Deep Loop Closure Detection for LiDAR SLAM based on Unbalanced Optimal Transport. CoRR abs/2103.05056 (2021) - [i23]Manav Madan, Peter Jakob, Tobias Schmid-Schirling, Abhinav Valada:
Multi-Perspective Anomaly Detection. CoRR abs/2105.09903 (2021) - [i22]Nikhil Gosala, Abhinav Valada:
Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images. CoRR abs/2108.03227 (2021) - [i21]Whye Kit Fong, Rohit Mohan, Juana Valeria Hurtado, Lubing Zhou, Holger Caesar, Oscar Beijbom, Abhinav Valada:
Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking. CoRR abs/2109.03805 (2021) - [i20]Borna Besic, Nikhil Gosala, Daniele Cattaneo, Abhinav Valada:
Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation. CoRR abs/2109.15286 (2021) - [i19]Eugenio Chisari, Tim Welschehold, Joschka Boedecker, Wolfram Burgard, Abhinav Valada:
Correct Me if I am Wrong: Interactive Learning for Robotic Manipulation. CoRR abs/2110.03316 (2021) - [i18]Iman Nematollahi, Erick Rosete-Beas, Adrian Röfer, Tim Welschehold, Abhinav Valada, Wolfram Burgard:
Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models. CoRR abs/2111.13129 (2021) - [i17]Abdelrahman Younes, Daniel Honerkamp, Tim Welschehold, Abhinav Valada:
Catch Me If You Hear Me: Audio-Visual Navigation in Complex Unmapped Environments with Moving Sounds. CoRR abs/2111.14843 (2021) - [i16]Rohit Mohan, Abhinav Valada:
7th AI Driving Olympics: 1st Place Report for Panoptic Tracking. CoRR abs/2112.05210 (2021) - [i15]Christopher Lang, Alexander Braun, Abhinav Valada:
Contrastive Object Detection Using Knowledge Graph Embeddings. CoRR abs/2112.11366 (2021) - 2020
- [j4]Abhinav Valada, Rohit Mohan, Wolfram Burgard:
Self-Supervised Model Adaptation for Multimodal Semantic Segmentation. Int. J. Comput. Vis. 128(5): 1239-1285 (2020) - [j3]Noha Radwan, Wolfram Burgard, Abhinav Valada:
Multimodal interaction-aware motion prediction for autonomous street crossing. Int. J. Robotics Res. 39(13) (2020) - [i14]Rohit Mohan, Abhinav Valada:
EfficientPS: Efficient Panoptic Segmentation. CoRR abs/2004.02307 (2020) - [i13]Juana Valeria Hurtado, Rohit Mohan, Abhinav Valada:
MOPT: Multi-Object Panoptic Tracking. CoRR abs/2004.08189 (2020) - [i12]Daniele Cattaneo, Domenico Giorgio Sorrenti, Abhinav Valada:
CMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR Maps. CoRR abs/2004.13795 (2020) - [i11]Borna Besic, Abhinav Valada:
Dynamic Object Removal and Spatio-Temporal RGB-D Inpainting via Geometry-Aware Adversarial Learning. CoRR abs/2008.05058 (2020) - [i10]Rohit Mohan, Abhinav Valada:
Robust Vision Challenge 2020 - 1st Place Report for Panoptic Segmentation. CoRR abs/2008.10112 (2020)
2010 – 2019
- 2019
- [c14]Federico Boniardi, Abhinav Valada, Rohit Mohan, Tim Caselitz, Wolfram Burgard:
Robot Localization in Floor Plans Using a Room Layout Edge Extraction Network. IROS 2019: 5291-5297 - [c13]Mayank Mittal, Rohit Mohan, Wolfram Burgard, Abhinav Valada:
Vision-Based Autonomous UAV Navigation and Landing for Urban Search and Rescue. ISRR 2019: 575-592 - [i9]Federico Boniardi, Abhinav Valada, Rohit Mohan, Tim Caselitz, Wolfram Burgard:
Robot Localization in Floor Plans Using a Room Layout Edge Extraction Network. CoRR abs/1903.01804 (2019) - [i8]Mayank Mittal, Rohit Mohan, Wolfram Burgard, Abhinav Valada:
Vision-Based Autonomous UAV Navigation and Landing for Urban Search and Rescue. CoRR abs/1906.01304 (2019) - [i7]Jannik Zürn, Wolfram Burgard, Abhinav Valada:
Self-Supervised Visual Terrain Classification from Unsupervised Acoustic Feature Learning. CoRR abs/1912.03227 (2019) - 2018
- [j2]Noha Radwan, Abhinav Valada, Wolfram Burgard:
VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry. IEEE Robotics Autom. Lett. 3(4): 4407-4414 (2018) - [c12]Abhinav Valada, Noha Radwan, Wolfram Burgard:
Deep Auxiliary Learning for Visual Localization and Odometry. ICRA 2018: 6939-6946 - [i6]Abhinav Valada, Noha Radwan, Wolfram Burgard:
Deep Auxiliary Learning for Visual Localization and Odometry. CoRR abs/1803.03642 (2018) - [i5]Abhinav Valada, Wolfram Burgard:
Deep Spatiotemporal Models for Robust Proprioceptive Terrain Classification. CoRR abs/1804.00736 (2018) - [i4]Noha Radwan, Abhinav Valada, Wolfram Burgard:
VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry. CoRR abs/1804.08366 (2018) - [i3]Abhinav Valada, Rohit Mohan, Wolfram Burgard:
Self-Supervised Model Adaptation for Multimodal Semantic Segmentation. CoRR abs/1808.03833 (2018) - [i2]Noha Radwan, Abhinav Valada, Wolfram Burgard:
Multimodal Interaction-aware Motion Prediction for Autonomous Street Crossing. CoRR abs/1808.06887 (2018) - [i1]Mayank Mittal, Abhinav Valada, Wolfram Burgard:
Vision-based Autonomous Landing in Catastrophe-Struck Environments. CoRR abs/1809.05700 (2018) - 2017
- [j1]Abhinav Valada, Wolfram Burgard:
Deep spatiotemporal models for robust proprioceptive terrain classification. Int. J. Robotics Res. 36(13-14): 1521-1539 (2017) - [c11]Abhinav Valada, Johan Vertens, Ankit Dhall, Wolfram Burgard:
AdapNet: Adaptive semantic segmentation in adverse environmental conditions. ICRA 2017: 4644-4651 - [c10]Johan Vertens, Abhinav Valada, Wolfram Burgard:
SMSnet: Semantic motion segmentation using deep convolutional neural networks. IROS 2017: 582-589 - [c9]Wolfram Burgard, Abhinav Valada, Noha Radwan, Tayyab Naseer, Jingwei Zhang, Johan Vertens, Oier Mees, Andreas Eitel, Gabriel L. Oliveira:
Perspectives on Deep Multimodel Robot Learning. ISRR 2017: 17-24 - 2016
- [c8]Gabriel L. Oliveira, Abhinav Valada, Claas Bollen, Wolfram Burgard, Thomas Brox:
Deep learning for human part discovery in images. ICRA 2016: 1634-1641 - [c7]Federico Boniardi, Abhinav Valada, Wolfram Burgard, Gian Diego Tipaldi:
Autonomous indoor robot navigation using a sketch interface for drawing maps and routes. ICRA 2016: 2896-2901 - [c6]Abhinav Valada, Gabriel L. Oliveira, Thomas Brox, Wolfram Burgard:
Deep Multispectral Semantic Scene Understanding of Forested Environments Using Multimodal Fusion. ISER 2016: 465-477 - 2015
- [c5]Abhinav Valada, Luciano Spinello, Wolfram Burgard:
Deep Feature Learning for Acoustics-Based Terrain Classification. ISRR (2) 2015: 21-37 - 2012
- [c4]Paul Scerri, Prasanna Velagapudi, Balajee Kannan, Abhinav Valada, Christopher Tomaszewski, John Dolan, Adrian Scerri, Kumar Shaurya Shankar, Luis Bill, George Kantor:
Real-world testing of a multi-robot team. AAMAS 2012: 1213-1214 - [c3]Abhinav Valada, Prasanna Velagapudi, Balajee Kannan, Christopher Tomaszewski, George Kantor, Paul Scerri:
Development of a Low Cost Multi-Robot Autonomous Marine Surface Platform. FSR 2012: 643-658 - [c2]Abhinav Valada, Christopher Tomaszewski, Balajee Kannan, Prasanna Velagapudi, George Kantor, Paul Scerri:
An Intelligent Approach to Hysteresis Compensation while Sampling Using a Fleet of Autonomous Watercraft. ICIRA (2) 2012: 472-485 - 2011
- [c1]Abhinav Valada, David Kohanbash, George Kantor:
DSRP: Distributed SensorWeb Routing Protocol. CONIELECOMP 2011: 310-315
Coauthor Index
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