Abhinav Valada

Orcid: 0000-0003-4710-3114

According to our database1, Abhinav Valada authored at least 123 papers between 2011 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Taxonomy-Aware Continual Semantic Segmentation in Hyperbolic Spaces for Open-World Perception.
IEEE Robotics Autom. Lett., February, 2025

A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation.
IEEE Robotics Autom. Lett., January, 2025

2024
The Art of Imitation: Learning Long-Horizon Manipulation Tasks From Few Demonstrations.
IEEE Robotics Autom. Lett., December, 2024

AmodalSynthDrive: A Synthetic Amodal Perception Dataset for Autonomous Driving.
IEEE Robotics Autom. Lett., November, 2024

Automatic Target-Less Camera-LiDAR Calibration From Motion and Deep Point Correspondences.
IEEE Robotics Autom. Lett., November, 2024

Language-Grounded Dynamic Scene Graphs for Interactive Object Search With Mobile Manipulation.
IEEE Robotics Autom. Lett., October, 2024

Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding of Healthcare Facilities.
IEEE Robotics Autom. Lett., August, 2024

CenterGrasp: Object-Aware Implicit Representation Learning for Simultaneous Shape Reconstruction and 6-DoF Grasp Estimation.
IEEE Robotics Autom. Lett., June, 2024

Panoptic Out-of-Distribution Segmentation.
IEEE Robotics Autom. Lett., May, 2024

Fairness and Bias in Robot Learning.
Proc. IEEE, April, 2024

Self-Supervised Representation Learning From Temporal Ordering of Automated Driving Sequences.
IEEE Robotics Autom. Lett., 2024

Reinforcement learning as a robotics-inspired framework for insect navigation: from spatial representations to neural implementation.
Frontiers Comput. Neurosci., 2024

Task-Driven Co-Design of Mobile Manipulators.
CoRR, 2024

NeRF and Gaussian Splatting SLAM in the Wild.
CoRR, 2024

ROVER: A Multi-Season Dataset for Visual SLAM.
CoRR, 2024

The Bare Necessities: Designing Simple, Effective Open-Vocabulary Scene Graphs.
CoRR, 2024

Learning Few-Shot Object Placement with Intra-Category Transfer.
CoRR, 2024

Traffic and Safety Rule Compliance of Humans in Diverse Driving Situations.
CoRR, 2024

Neural Fields in Robotics: A Survey.
CoRR, 2024

Progressive Multi-Modal Fusion for Robust 3D Object Detection.
CoRR, 2024

Entropy-Based Uncertainty Modeling for Trajectory Prediction in Autonomous Driving.
CoRR, 2024

Zero-Cost Whole-Body Teleoperation for Mobile Manipulation.
CoRR, 2024

Panoptic-Depth Forecasting.
CoRR, 2024

Motion Forecasting via Model-Based Risk Minimization.
CoRR, 2024

Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching.
CoRR, 2024

Perception Matters: Enhancing Embodied AI with Uncertainty-Aware Semantic Segmentation.
CoRR, 2024

Visual-Inertial SLAM for Agricultural Robotics: Benchmarking the Benefits and Computational Costs of Loop Closing.
CoRR, 2024

Learning Lane Graphs from Aerial Imagery Using Transformers.
CoRR, 2024

LetsMap: Unsupervised Representation Learning for Semantic BEV Mapping.
CoRR, 2024

Imagine2touch: Predictive Tactile Sensing for Robotic Manipulation using Efficient Low-Dimensional Signals.
CoRR, 2024

CenterArt: Joint Shape Reconstruction and 6-DoF Grasp Estimation of Articulated Objects.
CoRR, 2024

PseudoTouch: Efficiently Imaging the Surface Feel of Objects for Robotic Manipulation.
CoRR, 2024

Evaluation of a Smart Mobile Robotic System for Industrial Plant Inspection and Supervision.
CoRR, 2024

CMRNext: Camera to LiDAR Matching in the Wild for Localization and Extrinsic Calibration.
CoRR, 2024

Semantic Scene Segmentation for Robotics.
CoRR, 2024

Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation.
Proceedings of the Robotics: Science and Systems XX, 2024

BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Bayesian Optimization for Sample-Efficient Policy Improvement in Robotic Manipulation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

A Point-Based Approach to Efficient LiDAR Multi-Task Perception.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

DITTO: Demonstration Imitation by Trajectory Transformation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

RaLF: Flow-based Global and Metric Radar Localization in LiDAR Maps.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Amodal Optical Flow.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Few-Shot Panoptic Segmentation With Foundation Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Collaborative Dynamic 3D Scene Graphs for Automated Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Online Estimation of Articulated Objects with Factor Graphs using Vision and Proprioceptive Sensing.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Compositional Servoing by Recombining Demonstrations.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

LetsMap: Unsupervised Representation Learning for Label-Efficient Semantic BEV Mapping.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation.
IEEE Robotics Autom. Lett., December, 2023

Self-Supervised Multi-Object Tracking for Autonomous Driving From Consistency Across Timescales.
IEEE Robotics Autom. Lett., November, 2023

The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation.
IEEE Robotics Autom. Lett., November, 2023

N$^{2}$M$^{2}$: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments.
IEEE Trans. Robotics, October, 2023

INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields.
IEEE Robotics Autom. Lett., September, 2023

Neural Architecture Search for Dense Prediction Tasks in Computer Vision.
Int. J. Comput. Vis., July, 2023

PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration Using Panoptic Attention.
IEEE Robotics Autom. Lett., March, 2023

Catch Me if You Hear Me: Audio-Visual Navigation in Complex Unmapped Environments With Moving Sounds.
IEEE Robotics Autom. Lett., 2023

Multi-camera Bird's Eye View Perception for Autonomous Driving.
CoRR, 2023

Efficient Learning of Urban Driving Policies Using Bird's-Eye-View State Representations.
CoRR, 2023

Self-Supervised Multi-Object Tracking From Consistency Across Timescales.
CoRR, 2023

CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Efficient Learning of Urban Driving Policies Using Bird'View State Representations.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

EvCenterNet: Uncertainty Estimation for Object Detection Using Evidential Learning.
IROS, 2023

A Smart Robotic System for Industrial Plant Supervision.
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

CoVIO: Online Continual Learning for Visual-Inertial Odometry.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning and Aggregating Lane Graphs for Urban Automated Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
EfficientLPS: Efficient LiDAR Panoptic Segmentation.
IEEE Trans. Robotics, 2022

LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM.
IEEE Trans. Robotics, 2022

Dynamic Object Removal and Spatio-Temporal RGB-D Inpainting via Geometry-Aware Adversarial Learning.
IEEE Trans. Intell. Veh., 2022

Kineverse: A Symbolic Articulation Model Framework for Model-Agnostic Mobile Manipulation.
IEEE Robotics Autom. Lett., 2022

Perceiving the Invisible: Proposal-Free Amodal Panoptic Segmentation.
IEEE Robotics Autom. Lett., 2022

Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images.
IEEE Robotics Autom. Lett., 2022

Panoptic Nuscenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking.
IEEE Robotics Autom. Lett., 2022

Correct Me If I am Wrong: Interactive Learning for Robotic Manipulation.
IEEE Robotics Autom. Lett., 2022

3D Multi-Object Tracking Using Graph Neural Networks With Cross-Edge Modality Attention.
IEEE Robotics Autom. Lett., 2022

Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation.
IEEE Robotics Autom. Lett., 2022

Interactive Imitation Learning in Robotics: A Survey.
Found. Trends Robotics, 2022

Active Particle Filter Networks: Efficient Active Localization in Continuous Action Spaces and Large Maps.
CoRR, 2022

RobotIO: A Python Library for Robot Manipulation Experiments.
CoRR, 2022

N<sup>2</sup>M<sup>2</sup>: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments.
CoRR, 2022

Self-Supervised Learning of Multi-Object Keypoints for Robotic Manipulation.
CoRR, 2022

On Hyperbolic Embeddings in 2D Object Detection.
CoRR, 2022

Neural Architecture Search for Dense Prediction Tasks in Computer Vision.
CoRR, 2022

Doing Right by Not Doing Wrong in Human-Robot Collaboration.
CoRR, 2022

Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping Through Continual Learning.
Proceedings of the Robotics Research, 2022

Learning Long-Horizon Robot Exploration Strategies for Multi-object Search in Continuous Action Spaces.
Proceedings of the Robotics Research, 2022

OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Robust Object Detection Using Knowledge Graph Embeddings.
Proceedings of the Pattern Recognition, 2022

On Hyperbolic Embeddings in Object Detection.
Proceedings of the Pattern Recognition, 2022

Amodal Panoptic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Self-Supervised Visual Terrain Classification From Unsupervised Acoustic Feature Learning.
IEEE Trans. Robotics, 2021

Multi-Perspective Anomaly Detection.
Sensors, 2021

Learning Kinematic Feasibility for Mobile Manipulation Through Deep Reinforcement Learning.
IEEE Robotics Autom. Lett., 2021

EfficientPS: Efficient Panoptic Segmentation.
Int. J. Comput. Vis., 2021

From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation.
Frontiers Robotics AI, 2021

Contrastive Object Detection Using Knowledge Graph Embeddings.
CoRR, 2021

7th AI Driving Olympics: 1st Place Report for Panoptic Tracking.
CoRR, 2021

LCDNet: Deep Loop Closure Detection for LiDAR SLAM based on Unbalanced Optimal Transport.
CoRR, 2021

There Is More Than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking With Sound by Distilling Multimodal Knowledge.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Multimodal interaction-aware motion prediction for autonomous street crossing.
Int. J. Robotics Res., 2020

Self-Supervised Model Adaptation for Multimodal Semantic Segmentation.
Int. J. Comput. Vis., 2020

Robust Vision Challenge 2020 - 1st Place Report for Panoptic Segmentation.
CoRR, 2020

CMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR Maps.
CoRR, 2020

MOPT: Multi-Object Panoptic Tracking.
CoRR, 2020

2019
Discovering and leveraging deep multimodal structure for reliable robot perception and localization
PhD thesis, 2019

Vision-Based Autonomous UAV Navigation and Landing for Urban Search and Rescue.
Proceedings of the Robotics Research, 2019

Robot Localization in Floor Plans Using a Room Layout Edge Extraction Network.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry.
IEEE Robotics Autom. Lett., 2018

Vision-based Autonomous Landing in Catastrophe-Struck Environments.
CoRR, 2018

Deep Auxiliary Learning for Visual Localization and Odometry.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Deep spatiotemporal models for robust proprioceptive terrain classification.
Int. J. Robotics Res., 2017

Perspectives on Deep Multimodel Robot Learning.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

SMSnet: Semantic motion segmentation using deep convolutional neural networks.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

AdapNet: Adaptive semantic segmentation in adverse environmental conditions.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Deep Multispectral Semantic Scene Understanding of Forested Environments Using Multimodal Fusion.
Proceedings of the International Symposium on Experimental Robotics, 2016

Deep learning for human part discovery in images.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Autonomous indoor robot navigation using a sketch interface for drawing maps and routes.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
Deep Feature Learning for Acoustics-Based Terrain Classification.
Proceedings of the Robotics Research, 2015

2012
An Intelligent Approach to Hysteresis Compensation while Sampling Using a Fleet of Autonomous Watercraft.
Proceedings of the Intelligent Robotics and Applications - 5th International Conference, 2012

Development of a Low Cost Multi-Robot Autonomous Marine Surface Platform.
Proceedings of the Field and Service Robotics, 2012

Real-world testing of a multi-robot team.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011
DSRP: Distributed SensorWeb Routing Protocol.
Proceedings of the CONIELECOMP 2011, 21st International Conference on Electrical, Communications, and Computers, 28 February, 2011


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