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2020 – today
- 2024
[j37]Stephan Lochner, Daniel Honerkamp, Abhinav Valada, Andrew D. Straw:
Reinforcement learning as a robotics-inspired framework for insect navigation: from spatial representations to neural implementation. Frontiers Comput. Neurosci. 18 (2024)- [j36]Laura Londoño
, Juana Valeria Hurtado, Nora Hertz, Philipp Kellmeyer, Silja Voeneky, Abhinav Valada:
Fairness and Bias in Robot Learning. Proc. IEEE 112(4): 305-330 (2024) - [j35]Christopher Lang, Alexander Braun, Lars Schillingmann, Karsten Haug, Abhinav Valada:
Self-Supervised Representation Learning From Temporal Ordering of Automated Driving Sequences. IEEE Robotics Autom. Lett. 9(3): 2582-2589 (2024) - [j34]Rohit Mohan, Kiran Kumaraswamy, Juana Valeria Hurtado, Kürsat Petek, Abhinav Valada:
Panoptic Out-of-Distribution Segmentation. IEEE Robotics Autom. Lett. 9(5): 4075-4082 (2024) - [j33]Eugenio Chisari, Nick Heppert, Tim Welschehold, Wolfram Burgard, Abhinav Valada:
CenterGrasp: Object-Aware Implicit Representation Learning for Simultaneous Shape Reconstruction and 6-DoF Grasp Estimation. IEEE Robotics Autom. Lett. 9(6): 5094-5101 (2024) - [j32]Rohit Mohan, José Arce, Sassan Mokhtar, Daniele Cattaneo, Abhinav Valada:
Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding of Healthcare Facilities. IEEE Robotics Autom. Lett. 9(8): 7094-7101 (2024) - [j31]Daniel Honerkamp, Martin Büchner, Fabien Despinoy, Tim Welschehold, Abhinav Valada:
Language-Grounded Dynamic Scene Graphs for Interactive Object Search With Mobile Manipulation. IEEE Robotics Autom. Lett. 9(10): 8298-8305 (2024) - [j30]Ahmed Rida Sekkat, Rohit Mohan, Oliver Sawade, Elmar Matthes, Abhinav Valada:
AmodalSynthDrive: A Synthetic Amodal Perception Dataset for Autonomous Driving. IEEE Robotics Autom. Lett. 9(11): 9597-9604 (2024) - [j29]Kürsat Petek, Niclas Vödisch, Johannes Meyer, Daniele Cattaneo, Abhinav Valada, Wolfram Burgard:
Automatic Target-Less Camera-LiDAR Calibration From Motion and Deep Point Correspondences. IEEE Robotics Autom. Lett. 9(11): 9978-9985 (2024) - [c36]Abhijeet Nayak, Daniele Cattaneo, Abhinav Valada:
RaLF: Flow-based Global and Metric Radar Localization in LiDAR Maps. ICRA 2024: 5097-5103 - [c35]Max Argus, Abhijeet Nayak, Martin Büchner, Silvio Galesso, Abhinav Valada, Thomas Brox:
Compositional Servoing by Recombining Demonstrations. ICRA 2024: 7339-7346 - [c34]Markus Käppeler, Kürsat Petek, Niclas Vödisch, Wolfram Burgard, Abhinav Valada:
Few-Shot Panoptic Segmentation With Foundation Models. ICRA 2024: 7718-7724 - [c33]Elias Greve, Martin Büchner, Niclas Vödisch, Wolfram Burgard, Abhinav Valada:
Collaborative Dynamic 3D Scene Graphs for Automated Driving. ICRA 2024: 11118-11124 - [c32]Maximilian Luz, Rohit Mohan, Ahmed Rida Sekkat, Oliver Sawade, Elmar Matthes, Thomas Brox, Abhinav Valada:
Amodal Optical Flow. ICRA 2024: 14677-14684 - [c31]Russell Buchanan, Adrian Röfer, João Moura, Abhinav Valada, Sethu Vijayakumar:
Online Estimation of Articulated Objects with Factor Graphs using Vision and Proprioceptive Sensing. ICRA 2024: 16111-16117 - [i93]Juana Valeria Hurtado, Abhinav Valada:
Semantic Scene Segmentation for Robotics. CoRR abs/2401.07589 (2024) - [i92]Daniele Cattaneo, Abhinav Valada:
CMRNext: Camera to LiDAR Matching in the Wild for Localization and Extrinsic Calibration. CoRR abs/2402.00129 (2024) - [i91]Georg K. J. Fischer, Max Bergau, D. Adriana Gómez-Rosal, Andreas Wachaja, Johannes Gräter, Matthias Odenweller, Uwe Piechottka, Fabian Hoeflinger, Nikhil Gosala, Niklas Wetzel, Daniel Büscher, Abhinav Valada, Wolfram Burgard:
Evaluation of a Smart Mobile Robotic System for Industrial Plant Inspection and Supervision. CoRR abs/2402.07691 (2024) - [i90]Daniel Honerkamp, Martin Büchner, Fabien Despinoy, Tim Welschehold, Abhinav Valada:
Language-Grounded Dynamic Scene Graphs for Interactive Object Search with Mobile Manipulation. CoRR abs/2403.08605 (2024) - [i89]Jonas Schramm, Niclas Vödisch, Kürsat Petek, B. Ravi Kiran, Senthil Kumar Yogamani, Wolfram Burgard, Abhinav Valada:
BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation. CoRR abs/2403.11761 (2024) - [i88]Adrian Röfer, Iman Nematollahi, Tim Welschehold, Wolfram Burgard, Abhinav Valada:
Bayesian Optimization for Sample-Efficient Policy Improvement in Robotic Manipulation. CoRR abs/2403.14305 (2024) - [i87]Adrian Röfer, Nick Heppert, Abdallah Ayman, Eugenio Chisari, Abhinav Valada:
PseudoTouch: Efficiently Imaging the Surface Feel of Objects for Robotic Manipulation. CoRR abs/2403.15107 (2024) - [i86]Nick Heppert, Max Argus, Tim Welschehold, Thomas Brox, Abhinav Valada:
DITTO: Demonstration Imitation by Trajectory Transformation. CoRR abs/2403.15203 (2024) - [i85]Abdelrhman Werby, Chenguang Huang, Martin Büchner, Abhinav Valada, Wolfram Burgard:
Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation. CoRR abs/2403.17846 (2024) - [i84]Christopher Lang, Alexander Braun, Lars Schillingmann, Abhinav Valada:
A Point-Based Approach to Efficient LiDAR Multi-Task Perception. CoRR abs/2404.12798 (2024) - [i83]Sassan Mokhtar, Eugenio Chisari, Nick Heppert, Abhinav Valada:
CenterArt: Joint Shape Reconstruction and 6-DoF Grasp Estimation of Articulated Objects. CoRR abs/2404.14968 (2024) - [i82]Kürsat Petek, Niclas Vödisch, Johannes Meyer, Daniele Cattaneo, Abhinav Valada, Wolfram Burgard:
Automatic Target-Less Camera-LiDAR Calibration From Motion and Deep Point Correspondences. CoRR abs/2404.17298 (2024) - [i81]Abdallah Ayad, Adrian Röfer, Nick Heppert, Abhinav Valada:
Imagine2touch: Predictive Tactile Sensing for Robotic Manipulation using Efficient Low-Dimensional Signals. CoRR abs/2405.01192 (2024) - [i80]Nikhil Gosala, Kürsat Petek, B. Ravi Kiran, Senthil Kumar Yogamani, Paulo Drews Jr., Wolfram Burgard, Abhinav Valada:
LetsMap: Unsupervised Representation Learning for Semantic BEV Mapping. CoRR abs/2405.18852 (2024) - [i79]Niclas Vödisch, Kürsat Petek, Markus Käppeler, Abhinav Valada, Wolfram Burgard:
A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation. CoRR abs/2405.19035 (2024) - [i78]Martin Büchner, Simon Dorer, Abhinav Valada:
Learning Lane Graphs from Aerial Imagery Using Transformers. CoRR abs/2407.05687 (2024) - [i77]Jan Ole von Hartz, Tim Welschehold, Abhinav Valada, Joschka Boedecker:
The Art of Imitation: Learning Long-Horizon Manipulation Tasks from Few Demonstrations. CoRR abs/2407.13432 (2024) - [i76]Julia Hindel, Daniele Cattaneo, Abhinav Valada:
Taxonomy-Aware Continual Semantic Segmentation in Hyperbolic Spaces for Open-World Perception. CoRR abs/2407.18145 (2024) - [i75]Fabian Schmidt, Constantin Blessing, Markus Enzweiler, Abhinav Valada:
Visual-Inertial SLAM for Agricultural Robotics: Benchmarking the Benefits and Computational Costs of Loop Closing. CoRR abs/2408.01716 (2024) - [i74]Sai Prasanna, Daniel Honerkamp, Kshitij Sirohi, Tim Welschehold, Wolfram Burgard, Abhinav Valada:
Perception Matters: Enhancing Embodied AI with Uncertainty-Aware Semantic Segmentation. CoRR abs/2408.02297 (2024) - [i73]Eugenio Chisari, Nick Heppert, Max Argus, Tim Welschehold, Thomas Brox, Abhinav Valada:
Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching. CoRR abs/2409.07343 (2024) - [i72]Aron Distelzweig, Eitan Kosman, Andreas Look, Faris Janjos, Denesh K. Manivannan, Abhinav Valada:
Motion Forecasting via Model-Based Risk Minimization. CoRR abs/2409.10585 (2024) - [i71]Juana Valeria Hurtado, Riya Mohan, Abhinav Valada:
Panoptic-Depth Forecasting. CoRR abs/2409.12008 (2024) - [i70]Daniel Honerkamp, Harsh Mahesheka, Jan Ole von Hartz, Tim Welschehold, Abhinav Valada:
Zero-Cost Whole-Body Teleoperation for Mobile Manipulation. CoRR abs/2409.15095 (2024) - [i69]Aron Distelzweig, Andreas Look, Eitan Kosman, Faris Janjos, Jörg Wagner, Abhinav Valada:
Entropy-Based Uncertainty Modeling for Trajectory Prediction in Autonomous Driving. CoRR abs/2410.01628 (2024) - 2023
- [j28]Rohit Mohan, 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. Int. J. Comput. Vis. 131(7): 1784-1807 (2023) - [j27]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) - [j26]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) - [j25]Julia Hindel, Nikhil Gosala, Kevin Bregler, Abhinav Valada:
INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields. IEEE Robotics Autom. Lett. 8(9): 6013-6020 (2023) - [j24]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. IEEE Robotics Autom. Lett. 8(11): 6931-6938 (2023) - [j23]Christopher Lang, Alexander Braun, Lars Schillingmann, Abhinav Valada:
Self-Supervised Multi-Object Tracking for Autonomous Driving From Consistency Across Timescales. IEEE Robotics Autom. Lett. 8(11): 7711-7718 (2023) - [j22]Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold, Abhinav Valada:
Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation. IEEE Robotics Autom. Lett. 8(12): 8549-8556 (2023) - [j21]Daniel Honerkamp, Tim Welschehold, Abhinav Valada:
N$^{2}$M$^{2}$: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments. IEEE Trans. Robotics 39(5): 3601-3619 (2023) - [c30]Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada:
CoVIO: Online Continual Learning for Visual-Inertial Odometry. CVPR Workshops 2023: 2464-2473 - [c29]Martin Büchner, Jannik Zürn, Ion-George Todoran, Abhinav Valada, Wolfram Burgard:
Learning and Aggregating Lane Graphs for Urban Automated Driving. CVPR 2023: 13415-13424 - [c28]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. CVPR 2023: 14901-14910 - [c27]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. CVPR 2023: 21201-21210 - [c26]D. Adriana Gómez-Rosal, Max Bergau, Georg K. J. Fischer, Andreas Wachaja, Johannes Grater, Matthias Odenweller, Uwe Piechottka, Fabian Hoeflinger, Nikhil Gosala, Niklas Wetzel, Daniel Büscher, Abhinav Valada, Wolfram Burgard:
A Smart Robotic System for Industrial Plant Supervision. SENSORS 2023: 1-4 - [c25]Monish R. Nallapareddy, Kshitij Sirohi, Paulo Lilles Jorge Drews, Wolfram Burgard, Chih-Hong Cheng, Abhinav Valada:
EvCenterNet: Uncertainty Estimation for Object Detection Using Evidential Learning. IROS 2023: 5699-5706 - [c24]Raphael Trumpp, Martin Büchner, Abhinav Valada, Marco Caccamo:
Efficient Learning of Urban Driving Policies Using Bird'View State Representations. ITSC 2023: 4181-4186 - [c23]Niclas Vödisch, Kürsat Petek, Wolfram Burgard, Abhinav Valada:
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation. Robotics: Science and Systems 2023 - [i68]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) - [i67]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) - [i66]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) - [i65]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) - [i64]Niclas Vödisch, Kürsat Petek, Wolfram Burgard, Abhinav Valada:
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation. CoRR abs/2303.10147 (2023) - [i63]Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada:
CoVIO: Online Continual Learning for Visual-Inertial Odometry. CoRR abs/2303.10149 (2023) - [i62]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) - [i61]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) - [i60]Christopher Lang, Alexander Braun, Lars Schillingmann, Abhinav Valada:
Self-Supervised Multi-Object Tracking From Consistency Across Timescales. CoRR abs/2304.13147 (2023) - [i59]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) - [i58]Raphael Trumpp, Martin Büchner, Abhinav Valada, Marco Caccamo:
Efficient Learning of Urban Driving Policies Using Bird's-Eye-View State Representations. CoRR abs/2305.19904 (2023) - [i57]Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold, Abhinav Valada:
Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation. CoRR abs/2307.06125 (2023) - [i56]Rohit Mohan, José Arce, Sassan Mokhtar, Daniele Cattaneo, Abhinav Valada:
Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding of Healthcare Facilities. CoRR abs/2308.03193 (2023) - [i55]D. Adriana Gómez-Rosal, Max Bergau, Georg K. J. Fischer, Andreas Wachaja, Johannes Gräter, Matthias Odenweller, Uwe Piechottka, Fabian Hoeflinger, Nikhil Gosala, Niklas Wetzel, Daniel Büscher, Abhinav Valada, Wolfram Burgard:
A Smart Robotic System for Industrial Plant Supervision. CoRR abs/2308.05612 (2023) - [i54]Ahmed Rida Sekkat, Rohit Mohan, Oliver Sawade, Elmar Matthes, Abhinav Valada:
AmodalSynthDrive: A Synthetic Amodal Perception Dataset for Autonomous Driving. CoRR abs/2309.06547 (2023) - [i53]Elias Greve, Martin Büchner, Niclas Vödisch, Wolfram Burgard, Abhinav Valada:
Collaborative Dynamic 3D Scene Graphs for Automated Driving. CoRR abs/2309.06635 (2023) - [i52]David Unger, Nikhil Gosala, Varun Ravi Kumar, Shubhankar Borse, Abhinav Valada, Senthil Kumar Yogamani:
Multi-camera Bird's Eye View Perception for Autonomous Driving. CoRR abs/2309.09080 (2023) - [i51]Abhijeet Nayak, Daniele Cattaneo, Abhinav Valada:
RaLF: Flow-based Global and Metric Radar Localization in LiDAR Maps. CoRR abs/2309.09875 (2023) - [i50]Markus Käppeler, Kürsat Petek, Niclas Vödisch, Wolfram Burgard, Abhinav Valada:
Few-Shot Panoptic Segmentation With Foundation Models. CoRR abs/2309.10726 (2023) - [i49]Russell Buchanan, Adrian Röfer, João Moura, Abhinav Valada, Sethu Vijayakumar:
Online Estimation of Articulated Objects with Factor Graphs using Vision and Proprioceptive Sensing. CoRR abs/2309.16343 (2023) - [i48]Max Argus, Abhijeet Nayak, Martin Büchner, Silvio Galesso, Abhinav Valada, Thomas Brox:
Compositional Servoing by Recombining Demonstrations. CoRR abs/2310.04271 (2023) - [i47]Rohit Mohan, Kiran Kumaraswamy, Juana Valeria Hurtado, Kürsat Petek, Abhinav Valada:
Panoptic Out-of-Distribution Segmentation. CoRR abs/2310.11797 (2023) - [i46]Maximilian Luz, Rohit Mohan, Ahmed Rida Sekkat, Oliver Sawade, Elmar Matthes, Thomas Brox, Abhinav Valada:
Amodal Optical Flow. CoRR abs/2311.07761 (2023) - [i45]Eugenio Chisari, Nick Heppert, Tim Welschehold, Wolfram Burgard, Abhinav Valada:
CenterGrasp: Object-Aware Implicit Representation Learning for Simultaneous Shape Reconstruction and 6-DoF Grasp Estimation. CoRR abs/2312.08240 (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, Erdal 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, Erdal 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
- [b1]Abhinav Valada:
Discovering and leveraging deep multimodal structure for reliable robot perception and localization. University of Freiburg, Germany, 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
[j33] [j29] [c34] [c33] [i91] [i89] [i88] [i85] [i82] [i80] [i79] [i74] [j26] [j24] [c30] [c29] [c28] [c26] [c25] [c23] [i68] [i67] [i65] [i64] [i63] [i59] [i55] [i53] [i50] [i45] [j18] [j16] [j11] [c19] [c18] [c17] [i41] [i40] [i32] [i30] [j5] [i26] [i19] [i18] [j4] [j3] [c14] [c13] [i9] [i8] [i7] [j2] [c12] [i6] [i5] [i4] [i3] [i2] [i1] [j1] [c11] [c10] [c9] [c8] [c7] [c6] [c5]
Nikhil Bharadwaj Gosala
aka: Nikhil Gosala
aka: Nikhil Gosala
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