Rares Ambrus

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 82

Top Venues

Royal Institute of Technology, Stockholm, Sweden (PHD)

Education History

Royal Institute of Technology, Stockholm, Sweden

PHD

Publications

Jiading Fang, Xiangshan Tan, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Hongyuan Mei, Rares Ambrus, Gregory Shakhnarovich, Matthew R. Walter
Transcrib3D: 3D Referring Expression Resolution through Large Language Models. CoRR (2024)
Takuya Ikeda, Sergey Zakharov, Tianyi Ko, Muhammad Zubair Irshad, Robert Lee, Katherine Liu, Rares Ambrus, Koichi Nishiwaki
DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose Estimation. CoRR (2024)
Sergey Zakharov, Katherine Liu, Adrien Gaidon, Rares Ambrus
ReFiNe: Recursive Field Networks for Cross-Modal Multi-Scene Representation. SIGGRAPH (Conference Paper Track) (2024)
Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov
Zero-Shot Multi-Object Shape Completion. CoRR (2024)
Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira, Rares Ambrus
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields. CoRR (2024)
Mayank Lunayach, Sergey Zakharov, Dian Chen, Rares Ambrus, Zsolt Kira, Muhammad Zubair Irshad
FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects. ICRA (2024)
Tara Sadjadpour, Jie Li, Rares Ambrus, Jeannette Bohg
ShaSTA: Modeling Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking. IEEE Robotics Autom. Lett. 9 (5) (2024)
Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov
Understanding Video Transformers via Universal Concept Discovery. CoRR (2024)
Sergey Zakharov, Katherine Liu, Adrien Gaidon, Rares Ambrus
ReFiNe: Recursive Field Networks for Cross-modal Multi-scene Representation. CoRR (2024)
Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Adrien Gaidon, Rares Ambrus
Robust Self-Supervised Extrinsic Self-Calibration. CoRR (2023)
Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. ICCV (2023)
Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon
Towards Zero-Shot Scale-Aware Monocular Depth Estimation. CoRR (2023)
Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon
Towards Zero-Shot Scale-Aware Monocular Depth Estimation. ICCV (2023)
Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Adrien Gaidon, Rares Ambrus
Robust Self-Supervised Extrinsic Self-Calibration. IROS (2023)
Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon
Viewpoint Equivariance for Multi-View 3D Object Detection. CVPR (2023)
Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. CoRR (2023)
Tara Sadjadpour, Rares Ambrus, Jeannette Bohg
ShaSTA-Fuse: Camera-LiDAR Sensor Fusion to Model Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking. CoRR (2023)
Mayank Lunayach, Sergey Zakharov, Dian Chen, Rares Ambrus, Zsolt Kira, Muhammad Zubair Irshad
FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects. CoRR (2023)
Adam W. Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, Katerina Fragkiadaki
Simple-BEV: What Really Matters for Multi-Sensor BEV Perception? ICRA (2023)
Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. ICCV (2023)
Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon
Viewpoint Equivariance for Multi-View 3D Object Detection. CoRR (2023)
Jiading Fang, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Adrien Gaidon, Gregory Shakhnarovich, Matthew R. Walter
NeRFuser: Large-Scale Scene Representation by NeRF Fusion. CoRR (2023)
Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. CoRR (2023)
Vitor Guizilini, Kuan-Hui Lee, Rares Ambrus, Adrien Gaidon
Learning Optical Flow, Depth, and Scene Flow without Real-World Labels. CoRR (2022)
Tara Sadjadpour, Jie Li, Rares Ambrus, Jeannette Bohg
ShaSTA: Modeling Shape and 0031Spatio-Temporal Affinities for 3D Multi-Object Tracking. CoRR (2022)
Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon
Photo-realistic Neural Domain Randomization. CoRR (2022)
Adam W. Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, Katerina Fragkiadaki
A Simple Baseline for BEV Perception Without LiDAR. CoRR (2022)
Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon
ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization. CoRR (2022)
Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon
Multi-Frame Self-Supervised Depth with Transformers. CoRR (2022)
Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter
Self-Supervised Camera Self-Calibration from Video. ICRA (2022)
Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon
Multi-Frame Self-Supervised Depth with Transformers. CVPR (2022)
Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon
Full Surround Monodepth From Multiple Cameras. IEEE Robotics Autom. Lett. 7 (2) (2022)
Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas
SpOT: Spatiotemporal Modeling for 3D Object Tracking. CoRR (2022)
Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon
ShAPO: Implicit Representations for Multi-object Shape, Appearance, and Pose Optimization. ECCV (2) (2022)
Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon
Photo-realistic Neural Domain Randomization. ECCV (25) (2022)
Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann
Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement. CoRR (2022)
Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon
Depth Field Networks for Generalizable Multi-view Scene Representation. CoRR (2022)
Sergey Zakharov, Rares Ambrus, Katherine Liu, Adrien Gaidon
ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes. CoRR (2022)
Vitor Guizilini, Kuan-Hui Lee, Rares Ambrus, Adrien Gaidon
Learning Optical Flow, Depth, and Scene Flow Without Real-World Labels. IEEE Robotics Autom. Lett. 7 (2) (2022)
Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas
SpOT: Spatiotemporal Modeling for 3D Object Tracking. ECCV (38) (2022)
Rares Ambrus, Vitor Guizilini, Naveen Kuppuswamy, Andrew Beaulieu, Adrien Gaidon, Alex Alspach
Monocular Depth Estimation for Soft Visuotactile Sensors. RoboSoft (2021)
Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon
Geometric Unsupervised Domain Adaptation for Semantic Segmentation. ICCV (2021)
Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon
Is Pseudo-Lidar needed for Monocular 3D Object detection? CoRR (2021)
Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. CoRR (2021)
Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon
Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency. CoRR (2021)
Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. CVPR (2021)
Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon
Is Pseudo-Lidar needed for Monocular 3D Object detection? ICCV (2021)
Rares Ambrus, Vitor Guizilini, Naveen Kuppuswamy, Andrew Beaulieu, Adrien Gaidon, Alex Alspach
Monocular Depth Estimation for Soft Visuotactile Sensors. CoRR (2021)
Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter
Self-Supervised Camera Self-Calibration from Video. CoRR (2021)
Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon
Full Surround Monodepth from Multiple Cameras. CoRR (2021)
Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon
Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency. ICCV (2021)
Hsu-Kuang Chiu, Jie Li, Rares Ambrus, Jeannette Bohg
Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving. ICRA (2021)
Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon
Geometric Unsupervised Domain Adaptation for Semantic Segmentation. CoRR (2021)
Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. CoRR (2020)
Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion. CoRR (2020)
Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. ICLR (2020)
Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Patric Jensfelt, Adrien Gaidon
Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation. CoRL (2020)
Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard
Driving Through Ghosts: Behavioral Cloning with False Positives. CoRR (2020)
Jiexiong Tang, Hanme Kim, Vitor Guizilini, Sudeep Pillai, Rares Ambrus
Neural Outlier Rejection for Self-Supervised Keypoint Learning. ICLR (2020)
Hsu-Kuang Chiu, Jie Li, Rares Ambrus, Jeannette Bohg
Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving. CoRR (2020)
Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard
Driving Through Ghosts: Behavioral Cloning with False Positives. IROS (2020)
Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion. 3DV (2020)
Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Allan Raventos, Adrien Gaidon
3D Packing for Self-Supervised Monocular Depth Estimation. CVPR (2020)
Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. CoRR (2019)
Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Adrien Gaidon
PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation. CoRR (2019)
Jiexiong Tang, Hanme Kim, Vitor Guizilini, Sudeep Pillai, Rares Ambrus
Neural Outlier Rejection for Self-Supervised Keypoint Learning. CoRR (2019)
Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon
Two Stream Networks for Self-Supervised Ego-Motion Estimation. CoRR (2019)
Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon
Two Stream Networks for Self-Supervised Ego-Motion Estimation. CoRL (2019)
Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. CoRL (2019)
Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Adrien Gaidon
Self-Supervised 3D Keypoint Learning for Ego-motion Estimation. CoRR (2019)
Sudeep Pillai, Rares Ambrus, Adrien Gaidon
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation. ICRA (2019)
Manuel Brucker, Maximilian Durner, Rares Ambrus, Zoltan Csaba Marton, Axel Wendt, Patric Jensfelt, Kai Oliver Arras, Rudolph Triebel
Semantic Labeling of Indoor Environments from 3D RGB Maps. ICRA (2018)
Sudeep Pillai, Rares Ambrus, Adrien Gaidon
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation. CoRR (2018)
Johan Ekekrantz, Nils Bore, Rares Ambrus, John Folkesson, Patric Jensfelt
Unsupervised Object Discovery and Segmentation of RGBD-images. CoRR (2017)
Nils Bore, Rares Ambrus, Patric Jensfelt, John Folkesson
Efficient retrieval of arbitrary objects from long-term robot observations. Robotics Auton. Syst. 91 (2017)
Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt
Autonomous meshing, texturing and recognition of object models with a mobile robot. IROS (2017)
Michael C. Welle, Ludvig Ericson, Rares Ambrus, Patric Jensfelt
On the use of unmanned aerial vehicles for autonomous object modeling. ECMR (2017)
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
The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics Autom. Mag. 24 (3) (2017)
Thomas Faulhammer, Rares Ambrus, Chris Burbridge, Michael Zillich, John Folkesson, Nick Hawes, Patric Jensfelt, Markus Vincze
Autonomous Learning of Object Models on a Mobile Robot. IEEE Robotics Autom. Lett. 2 (1) (2017)
Rares Ambrus, Sebastian Claici, Axel Wendt
Automatic Room Segmentation From Unstructured 3-D Data of Indoor Environments. IEEE Robotics Autom. Lett. 2 (2) (2017)
Nick Hawes, Chris 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, Muhannad Al-Omari, Eris Chinellato, Paul Duckworth, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn, Christian Dondrup, Jaime Pulido Fentanes, Tomás Krajník, João Machado Santos, Tom Duckett, Marc Hanheide
The STRANDS Project: Long-Term Autonomy in Everyday Environments. CoRR (2016)
Rares Ambrus, John Folkesson, Patric Jensfelt
Unsupervised object segmentation through change detection in a long term autonomy scenario. Humanoids (2016)
Rares Ambrus, Johan Ekekrantz, John Folkesson, Patric Jensfelt
Unsupervised learning of spatial-temporal models of objects in a long-term autonomy scenario. IROS (2015)
Tomás Krajník, Miroslav Kulich, Lenka Mudrová, Rares Ambrus, Tom Duckett
Where's waldo at time t ? using spatio-temporal models for mobile robot search. ICRA (2015)
Zhan Wang, Rares Ambrus, Patric Jensfelt, John Folkesson
Modeling motion patterns of dynamic objects by IOHMM. IROS (2014)
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
KTH-3D-TOTAL: A 3D dataset for discovering spatial structures for long-term autonomous learning. ICARCV (2014)
Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt
Meta-rooms: Building and maintaining long term spatial models in a dynamic world. IROS (2014)
Rares Ambrus, Akash Vibhute, Geetesh Dubey, Anuj Kapuria
Unmanned Vehicles Conversion Kits: a minimally invasive system for the conversion of regular vehicles into tele-operable and autonomous platforms. AIR (2013)
Yashodhan Nevatia, Todor Stoyanov, Ravi Rathnam, Max Pfingsthorn, Stefan Markov, Rares Ambrus, Andreas Birk
Augmented autonomy: Improving human-robot team performance in Urban search and rescue. IROS (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Rares Ambrus