Abhinav Valada

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 150

Top Venues

CoRR

IEEE Robotics Autom. Lett.

ICRA

CVPR

Publications

Niclas Vödisch, Kürsat Petek, Markus Käppeler, Abhinav Valada, Wolfram Burgard
A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation. CoRR (2024)
Christopher Lang, Alexander Braun, Lars Schillingmann, Abhinav Valada
A Point-Based Approach to Efficient LiDAR Multi-Task Perception. CoRR (2024)
Adrian Röfer, Nick Heppert, Abdallah Ayman, Eugenio Chisari, Abhinav Valada
PseudoTouch: Efficiently Imaging the Surface Feel of Objects for Robotic Manipulation. CoRR (2024)
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)
Max Argus, Abhijeet Nayak, Martin Büchner, Silvio Galesso, Abhinav Valada, Thomas Brox
Compositional Servoing by Recombining Demonstrations. ICRA (2024)
Juana Valeria Hurtado, Abhinav Valada
Semantic Scene Segmentation for Robotics. CoRR (2024)
Maximilian Luz, Rohit Mohan, Ahmed Rida Sekkat, Oliver Sawade, Elmar Matthes, Thomas Brox, Abhinav Valada
Amodal Optical Flow. ICRA (2024)
Jan Ole von Hartz, Tim Welschehold, Abhinav Valada, Joschka Boedecker
The Art of Imitation: Learning Long-Horizon Manipulation Tasks from Few Demonstrations. CoRR (2024)
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) (2024)
Nick Heppert, Max Argus, Tim Welschehold, Thomas Brox, Abhinav Valada
DITTO: Demonstration Imitation by Trajectory Transformation. CoRR (2024)
Rohit Mohan, Kiran Kumaraswamy, Juana Valeria Hurtado, Kürsat Petek, Abhinav Valada
Panoptic Out-of-Distribution Segmentation. IEEE Robotics Autom. Lett. 9 (5) (2024)
Abdallah Ayad, Adrian Röfer, Nick Heppert, Abhinav Valada
Imagine2touch: Predictive Tactile Sensing for Robotic Manipulation using Efficient Low-Dimensional Signals. CoRR (2024)
Markus Käppeler, Kürsat Petek, Niclas Vödisch, Wolfram Burgard, Abhinav Valada
Few-Shot Panoptic Segmentation With Foundation Models. ICRA (2024)
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 (2024)
Julia Hindel, Daniele Cattaneo, Abhinav Valada
Taxonomy-Aware Continual Semantic Segmentation in Hyperbolic Spaces for Open-World Perception. CoRR (2024)
Abhijeet Nayak, Daniele Cattaneo, Abhinav Valada
RaLF: Flow-based Global and Metric Radar Localization in LiDAR Maps. ICRA (2024)
Daniele Cattaneo, Abhinav Valada
CMRNext: Camera to LiDAR Matching in the Wild for Localization and Extrinsic Calibration. CoRR (2024)
Laura Londoño, Juana Valeria Hurtado, Nora Hertz, Philipp Kellmeyer, Silja Voeneky, Abhinav Valada
Fairness and Bias in Robot Learning. Proc. IEEE 112 (4) (2024)
Martin Büchner, Simon Dorer, Abhinav Valada
Learning Lane Graphs from Aerial Imagery Using Transformers. CoRR (2024)
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) (2024)
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) (2024)
Elias Greve, Martin Büchner, Niclas Vödisch, Wolfram Burgard, Abhinav Valada
Collaborative Dynamic 3D Scene Graphs for Automated Driving. ICRA (2024)
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 (2024)
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 (2024)
Abdelrhman Werby, Chenguang Huang, Martin Büchner, Abhinav Valada, Wolfram Burgard
Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation. CoRR (2024)
Daniel Honerkamp, Martin Büchner, Fabien Despinoy, Tim Welschehold, Abhinav Valada
Language-Grounded Dynamic Scene Graphs for Interactive Object Search with Mobile Manipulation. CoRR (2024)
Sassan Mokhtar, Eugenio Chisari, Nick Heppert, Abhinav Valada
CenterArt: Joint Shape Reconstruction and 6-DoF Grasp Estimation of Articulated Objects. CoRR (2024)
Adrian Röfer, Iman Nematollahi, Tim Welschehold, Wolfram Burgard, Abhinav Valada
Bayesian Optimization for Sample-Efficient Policy Improvement in Robotic Manipulation. CoRR (2024)
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 (2024)
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 (2023)
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 Btischer, Abhinav Valada, Wolfram Burgard
A Smart Robotic System for Industrial Plant Supervision. SENSORS (2023)
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) (2023)
Abhijeet Nayak, Daniele Cattaneo, Abhinav Valada
RaLF: Flow-based Global and Metric Radar Localization in LiDAR Maps. CoRR (2023)
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) (2023)
Niclas Vödisch, Kürsat Petek, Wolfram Burgard, Abhinav Valada
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation. Robotics: Science and Systems (2023)
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)
Christopher Lang, Alexander Braun, Lars Schillingmann, Karsten Haug, Abhinav Valada
Self-Supervised Representation Learning from Temporal Ordering of Automated Driving Sequences. CoRR (2023)
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)
Raphael Trumpp, Martin Büchner, Abhinav Valada, Marco Caccamo
Efficient Learning of Urban Driving Policies Using Bird'View State Representations. ITSC (2023)
Raphael Trumpp, Martin Büchner, Abhinav Valada, Marco Caccamo
Efficient Learning of Urban Driving Policies Using Bird's-Eye-View State Representations. CoRR (2023)
Maximilian Luz, Rohit Mohan, Ahmed Rida Sekkat, Oliver Sawade, Elmar Matthes, Thomas Brox, Abhinav Valada
Amodal Optical Flow. CoRR (2023)
Martin Büchner, Jannik Zürn, Ion-George Todoran, Abhinav Valada, Wolfram Burgard
Learning and Aggregating Lane Graphs for Urban Automated Driving. CoRR (2023)
Russell Buchanan, Adrian Röfer, João Moura, Abhinav Valada, Sethu Vijayakumar
Online Estimation of Articulated Objects with Factor Graphs using Vision and Proprioceptive Sensing. CoRR (2023)
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 (2023)
Niclas Vödisch, Kürsat Petek, Wolfram Burgard, Abhinav Valada
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation. CoRR (2023)
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) (2023)
Julia Hindel, Nikhil Gosala, Kevin Bregler, Abhinav Valada
INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields. CoRR (2023)
Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada
CoVIO: Online Continual Learning for Visual-Inertial Odometry. CoRR (2023)
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) (2023)
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 (2023)
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)
Rohit Mohan, Kiran Kumaraswamy, Juana Valeria Hurtado, Kürsat Petek, Abhinav Valada
Panoptic Out-of-Distribution Segmentation. CoRR (2023)
Martin Büchner, Jannik Zürn, Ion-George Todoran, Abhinav Valada, Wolfram Burgard
Learning and Aggregating Lane Graphs for Urban Automated Driving. CVPR (2023)
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 (2023)
Rohit Mohan, José Arce, Sassan Mokhtar, Daniele Cattaneo, Abhinav Valada
Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding of Healthcare Facilities. CoRR (2023)
Markus Käppeler, Kürsat Petek, Niclas Vödisch, Wolfram Burgard, Abhinav Valada
Few-Shot Panoptic Segmentation With Foundation Models. CoRR (2023)
Max Argus, Abhijeet Nayak, Martin Büchner, Silvio Galesso, Abhinav Valada, Thomas Brox
Compositional Servoing by Recombining Demonstrations. CoRR (2023)
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 (2023)
Elias Greve, Martin Büchner, Niclas Vödisch, Wolfram Burgard, Abhinav Valada
Collaborative Dynamic 3D Scene Graphs for Automated Driving. CoRR (2023)
Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold, Abhinav Valada
Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation. CoRR (2023)
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 (2023)
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) (2023)
Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada
CoVIO: Online Continual Learning for Visual-Inertial Odometry. CVPR Workshops (2023)
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 (2023)
Ahmed Rida Sekkat, Rohit Mohan, Oliver Sawade, Elmar Matthes, Abhinav Valada
AmodalSynthDrive: A Synthetic Amodal Perception Dataset for Autonomous Driving. CoRR (2023)
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) (2023)
Christopher Lang, Alexander Braun, Lars Schillingmann, Abhinav Valada
Self-Supervised Multi-Object Tracking From Consistency Across Timescales. CoRR (2023)
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) (2023)
Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold, Abhinav Valada
Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation. IEEE Robotics Autom. Lett. 8 (12) (2023)
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)
Rohit Mohan, Abhinav Valada
Perceiving the Invisible: Proposal-Free Amodal Panoptic Segmentation. CoRR (2022)
Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold, Abhinav Valada
Learning Long-Horizon Robot Exploration Strategies for Multi-Object Search in Continuous Action Spaces. CoRR (2022)
Laura Londoño, Juana Valeria Hurtado, Nora Hertz, Philipp Kellmeyer, Silja Voeneky, Abhinav Valada
Fairness and Bias in Robot Learning. CoRR (2022)
Kshitij Sirohi, Rohit Mohan, Daniel Büscher, Wolfram Burgard, Abhinav Valada
EfficientLPS: Efficient LiDAR Panoptic Segmentation. IEEE Trans. Robotics 38 (3) (2022)
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 (2022)
Nikhil Gosala, Abhinav Valada
Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images. IEEE Robotics Autom. Lett. 7 (2) (2022)
Borna Besic, Abhinav Valada
Dynamic Object Removal and Spatio-Temporal RGB-D Inpainting via Geometry-Aware Adversarial Learning. IEEE Trans. Intell. Veh. 7 (2) (2022)
Lukás Hermann, Max Argus, Adrian Röfer, Abhinav Valada, Thomas Brox, Wolfram Burgard
RobotIO: A Python Library for Robot Manipulation Experiments. CoRR (2022)
Rohit Mohan, Abhinav Valada
Amodal Panoptic Segmentation. CVPR (2022)
Daniel Honerkamp, Suresh Guttikonda, Abhinav Valada
Active Particle Filter Networks: Efficient Active Localization in Continuous Action Spaces and Large Maps. CoRR (2022)
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) (2022)
Christopher Lang, Alexander Braun, Abhinav Valada
Robust Object Detection Using Knowledge Graph Embeddings. GCPR (2022)
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, R. Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. IROS (2022)
Christopher Lang, Alexander Braun, Abhinav Valada
On Hyperbolic Embeddings in 2D Object Detection. CoRR (2022)
Martin Buchner, Abhinav Valada
3D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge Modality Attention. CoRR (2022)
Rohit Mohan, Abhinav Valada
Perceiving the Invisible: Proposal-Free Amodal Panoptic Segmentation. IEEE Robotics Autom. Lett. 7 (4) (2022)
Christopher Lang, Alexander Braun, Lars Schillingmann, Abhinav Valada
On Hyperbolic Embeddings in Object Detection. GCPR (2022)
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) (2022)
Borna Besic, Nikhil Gosala, Daniele Cattaneo, Abhinav Valada
Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation. IEEE Robotics Autom. Lett. 7 (2) (2022)
Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold, Abhinav Valada
Learning Long-Horizon Robot Exploration Strategies for Multi-object Search in Continuous Action Spaces. ISRR (2022)
Martin Büchner, Abhinav Valada
3D Multi-Object Tracking Using Graph Neural Networks With Cross-Edge Modality Attention. IEEE Robotics Autom. Lett. 7 (4) (2022)
Daniele Cattaneo, Matteo Vaghi, Abhinav Valada
LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM. IEEE Trans. Robotics 38 (4) (2022)
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) (2022)
Laura Londoño, Adrian Röfer, Tim Welschehold, Abhinav Valada
Doing Right by Not Doing Wrong in Human-Robot Collaboration. CoRR (2022)
Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada
Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping Through Continual Learning. ISRR (2022)
Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada
Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping through Continual Learning. CoRR (2022)
Jan Ole von Hartz, Eugenio Chisari, Tim Welschehold, Abhinav Valada
Self-Supervised Learning of Multi-Object Keypoints for Robotic Manipulation. CoRR (2022)
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 (2022)
Daniel Honerkamp, Tim Welschehold, Abhinav Valada
: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments. CoRR (2022)
Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, O. Green, Alexandros Iosifidis, E. Kayacan, Jens Kober, O. Michel, N. Nikolaidis, Paraskevi Nousi, R. Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Abhinav Valada