Rares Ambrus

According to our database, Rares Ambrus authored at least 71 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

ShaSTA: Modeling Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking.

Tara Sadjadpour, Jie Li, Rares Ambrus, Jeannette Bohg

IEEE Robotics Autom. Lett., May, 2024

Neural Fields in Robotics: A Survey.

Muhammad Zubair Irshad, Mauro Comi, Yen-Chen Lin, Nick Heppert, Abhinav Valada, Rares Ambrus, Zsolt Kira, Jonathan Tremblay

CoRR, 2024

GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion.

Vitor Guizilini, Pavel Tokmakov, Achal Dave, Rares Ambrus

CoRR, 2024

Incorporating dense metric depth into neural 3D representations for view synthesis and relighting.

Arkadeep Narayan Chaudhury, Igor Vasiljevic, Sergey Zakharov, Vitor Guizilini, Rares Ambrus, Srinivasa Narasimhan, Christopher G. Atkeson

CoRR, 2024

Transcrib3D: 3D Referring Expression Resolution through Large Language Models.

Jiading Fang, Xiangshan Tan, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Hongyuan Mei, Rares Ambrus, Gregory Shakhnarovich, Matthew R. Walter

CoRR, 2024

Zero-Shot Multi-Object Shape Completion.

Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov

CoRR, 2024

DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose Estimation.

Takuya Ikeda, Sergey Zakharov, Tianyi Ko, Muhammad Zubair Irshad, Robert Lee, Katherine Liu, Rares Ambrus, Koichi Nishiwaki

CoRR, 2024

A Multi-flash Stereo Camera for Photo-realistic Capture of Small Scenes.

Arkadeep Narayan Chaudhury, Igor Vasiljevic, Sergey Zakharov, Vitor Guizilini, Rares Ambrus, Srinivasa Narasimhan, Christopher G. Atkeson

Proceedings of the SIGGRAPH Asia 2024 Technical Communications, 2024

ReFiNe: Recursive Field Networks for Cross-Modal Multi-Scene Representation.

Sergey Zakharov, Katherine Liu, Adrien Gaidon, Rares Ambrus

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects.

Mayank Lunayach, Sergey Zakharov, Dian Chen, Rares Ambrus, Zsolt Kira, Muhammad Zubair Irshad

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Zero-Shot Multi-object Scene Completion.

Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov

Proceedings of the Computer Vision - ECCV 2024, 2024

NeRF-MAE: Masked AutoEncoders for Self-supervised 3D Representation Learning for Neural Radiance Fields.

Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira, Rares Ambrus

Proceedings of the Computer Vision - ECCV 2024, 2024

Understanding Video Transformers via Universal Concept Discovery.

Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

ShaSTA-Fuse: Camera-LiDAR Sensor Fusion to Model Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking.

Tara Sadjadpour, Rares Ambrus, Jeannette Bohg

CoRR, 2023

NeRFuser: Large-Scale Scene Representation by NeRF Fusion.

Jiading Fang, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Adrien Gaidon, Gregory Shakhnarovich, Matthew R. Walter

CoRR, 2023

Robust Self-Supervised Extrinsic Self-Calibration.

Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Adrien Gaidon, Rares Ambrus

IROS, 2023

Simple-BEV: What Really Matters for Multi-Sensor BEV Perception?

Adam W. Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, Katerina Fragkiadaki

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Neural Groundplans: Persistent Neural Scene Representations from a Single Image.

Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Andrei Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann

Proceedings of the Eleventh International Conference on Learning Representations, 2023

NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes.

Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DeLiRa: Self-Supervised Depth, Light, and Radiance Fields.

Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Zero-Shot Scale-Aware Monocular Depth Estimation.

Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects.

Nick Heppert, Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Rares Andrei Ambrus, Jeannette Bohg, Abhinav Valada, Thomas Kollar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Viewpoint Equivariance for Multi-View 3D Object Detection.

Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Full Surround Monodepth From Multiple Cameras.

Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon

IEEE Robotics Autom. Lett., 2022

Learning Optical Flow, Depth, and Scene Flow Without Real-World Labels.

Vitor Guizilini, Kuan-Hui Lee, Rares Ambrus, Adrien Gaidon

IEEE Robotics Autom. Lett., 2022

ShaSTA: Modeling Shape and 0031Spatio-Temporal Affinities for 3D Multi-Object Tracking.

Tara Sadjadpour, Jie Li, Rares Ambrus, Jeannette Bohg

CoRR, 2022

Depth Field Networks for Generalizable Multi-view Scene Representation.

Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon

CoRR, 2022

Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement.

Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann

CoRR, 2022

A Simple Baseline for BEV Perception Without LiDAR.

Adam W. Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, Katerina Fragkiadaki

CoRR, 2022

Self-Supervised Camera Self-Calibration from Video.

Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Photo-realistic Neural Domain Randomization.

Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon

Proceedings of the Computer Vision - ECCV 2022, 2022

SpOT: Spatiotemporal Modeling for 3D Object Tracking.

Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas

Proceedings of the Computer Vision - ECCV 2022, 2022

ShAPO: Implicit Representations for Multi-object Shape, Appearance, and Pose Optimization.

Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon

Proceedings of the Computer Vision - ECCV 2022, 2022

Multi-Frame Self-Supervised Depth with Transformers.

Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes.

Sergey Zakharov, Rares Andrei Ambrus, Katherine Liu, Adrien Gaidon

Proceedings of the Conference on Robot Learning, 2022

Representation Learning for Object Detection from Unlabeled Point Cloud Sequences.

Xiangru Huang, Yue Wang, Vitor Campanholo Guizilini, Rares Andrei Ambrus, Adrien Gaidon, Justin M. Solomon

Proceedings of the Conference on Robot Learning, 2022

2021

Monocular Depth Estimation for Soft Visuotactile Sensors.

Rares Ambrus, Vitor Guizilini, Naveen Kuppuswamy, Andrew Beaulieu, Adrien Gaidon, Alex Alspach

Proceedings of the 4th IEEE International Conference on Soft Robotics, 2021

Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving.

Hsu-Kuang Chiu, Jie Li, Rares Ambrus, Jeannette Bohg

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Is Pseudo-Lidar needed for Monocular 3D Object detection?

Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Geometric Unsupervised Domain Adaptation for Semantic Segmentation.

Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency.

Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion.

Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Single-Shot Scene Reconstruction.

Sergey Zakharov, Rares Andrei Ambrus, Vitor Guizilini, Dennis Park, Wadim Kehl, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Driving Through Ghosts: Behavioral Cloning with False Positives.

Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Neural Outlier Rejection for Self-Supervised Keypoint Learning.

Jiexiong Tang, Hanme Kim, Vitor Guizilini, Sudeep Pillai, Rares Ambrus

Proceedings of the 8th International Conference on Learning Representations, 2020

Semantically-Guided Representation Learning for Self-Supervised Monocular Depth.

Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon

Proceedings of the 8th International Conference on Learning Representations, 2020

3D Packing for Self-Supervised Monocular Depth Estimation.

Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Allan Raventos, Adrien Gaidon

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation.

Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Patric Jensfelt, Adrien Gaidon

Proceedings of the 4th Conference on Robot Learning, 2020

Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion.

Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Self-Supervised 3D Keypoint Learning for Ego-motion Estimation.

Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Adrien Gaidon

CoRR, 2019

PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation.

Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Adrien Gaidon

CoRR, 2019

SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation.

Sudeep Pillai, Rares Ambrus, Adrien Gaidon

Proceedings of the International Conference on Robotics and Automation, 2019

Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances.

Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Two Stream Networks for Self-Supervised Ego-Motion Estimation.

Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Semantic Labeling of Indoor Environments from 3D RGB Maps.

Manuel Brucker, Maximilian Durner, Rares Ambrus, Zoltan Csaba Marton, Axel Wendt, Patric Jensfelt, Kai Oliver Arras, Rudolph Triebel

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Unsupervised construction of 4D semantic maps in a long-term autonomy scenario.

Rares Ambrus

PhD thesis, 2017

Efficient retrieval of arbitrary objects from long-term robot observations.

Nils Bore, Rares Ambrus, Patric Jensfelt, John Folkesson

Robotics Auton. Syst., 2017

The STRANDS Project: Long-Term Autonomy in Everyday Environments.

Nick Hawes, Christopher Burbridge, Ferdian Jovan, Lars Kunze, Bruno Lacerda, Lenka Mudrová, Jay Young, Jeremy L. Wyatt, Denise Hebesberger, Tobias Körtner, Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt, Lucas Beyer, Alexander Hermans, Bastian Leibe, Aitor Aldoma, Thomas Faulhammer, Michael Zillich, Markus Vincze, Eris Chinellato, Muhannad Al-Omari, Paul Duckworth, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn, Christian Dondrup, Jaime Pulido Fentanes, Tomás Krajník, João Machado Santos, Tom Duckett, Marc Hanheide

IEEE Robotics Autom. Mag., 2017

Autonomous Learning of Object Models on a Mobile Robot.

Thomas Faulhammer, Rares Ambrus, Chris Burbridge, Michael Zillich, John Folkesson, Nick Hawes, Patric Jensfelt, Markus Vincze

IEEE Robotics Autom. Lett., 2017

Automatic Room Segmentation From Unstructured 3-D Data of Indoor Environments.

Rares Ambrus, Sebastian Claici, Axel Wendt

IEEE Robotics Autom. Lett., 2017

Unsupervised Object Discovery and Segmentation of RGBD-images.

Johan Ekekrantz, Nils Bore, Rares Ambrus, John Folkesson, Patric Jensfelt

CoRR, 2017

Autonomous meshing, texturing and recognition of object models with a mobile robot.

Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

On the use of unmanned aerial vehicles for autonomous object modeling.

Michael C. Welle, Ludvig Ericson, Rares Ambrus, Patric Jensfelt

Proceedings of the 2017 European Conference on Mobile Robots, 2017

2016

Unsupervised object segmentation through change detection in a long term autonomy scenario.

Rares Ambrus, John Folkesson, Patric Jensfelt

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

2015

Unsupervised learning of spatial-temporal models of objects in a long-term autonomy scenario.

Rares Ambrus, Johan Ekekrantz, John Folkesson, Patric Jensfelt

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Where's waldo at time t ? using spatio-temporal models for mobile robot search.

Tomás Krajník, Miroslav Kulich, Lenka Mudrová, Rares Ambrus, Tom Duckett

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Modeling motion patterns of dynamic objects by IOHMM.

Zhan Wang, Rares Ambrus, Patric Jensfelt, John Folkesson

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Meta-rooms: Building and maintaining long term spatial models in a dynamic world.

Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

KTH-3D-TOTAL: A 3D dataset for discovering spatial structures for long-term autonomous learning.

Akshaya Thippur, Rares Ambrus, Gaurav Agrawal, Adria Gallart del Burgo, Janardhan Haryadi Ramesh, Mayank Kumar Jha, Malepati Bala Siva Sai Akhil, Nishan Bhavanishankar Shetty, John Folkesson, Patric Jensfelt

Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

2013

Unmanned Vehicles Conversion Kits: a minimally invasive system for the conversion of regular vehicles into tele-operable and autonomous platforms.

Rares Ambrus, Akash Vibhute, Geetesh Dubey, Anuj Kapuria

Proceedings of the Advances In Robotics 2013, 2013

2008

Augmented autonomy: Improving human-robot team performance in Urban search and rescue.

Yashodhan Nevatia, Todor Stoyanov, Ravi Rathnam, Max Pfingsthorn, Stefan Markov, Rares Ambrus, Andreas Birk

Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008