default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRares Ambrus
Rares Andrei Ambrus
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[i50]Vitor Guizilini, Muhammad Zubair Irshad, Dian Chen, Greg Shakhnarovich, Rares Ambrus:
Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion. CoRR abs/2501.18804 (2025)- 2024
- [j7]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): 4273-4280 (2024) - [c51]Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov:
Understanding Video Transformers via Universal Concept Discovery. CVPR 2024: 10946-10956 - [c50]Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov:
Zero-Shot Multi-object Scene Completion. ECCV (3) 2024: 96-113 - [c49]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. ECCV (88) 2024: 434-453 - [c48]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: 14630-14637 - [c47]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. IROS 2024: 7406-7413 - [c46]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. IROS 2024: 9737-9744 - [c45]Yinshuang Xu, Dian Chen, Katherine Liu, Sergey Zakharov, Rares Ambrus, Kostas Daniilidis, Vitor Guizilini:
$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation. NeurIPS 2024 - [c44]Sergey Zakharov, Katherine Liu, Adrien Gaidon, Rares Ambrus:
ReFiNe: Recursive Field Networks for Cross-Modal Multi-Scene Representation. SIGGRAPH (Conference Paper Track) 2024: 100 - [c43]Arkadeep Narayan Chaudhury, Igor Vasiljevic, Sergey Zakharov, Vitor Guizilini, Rares Ambrus, Srinivasa Narasimhan, Christopher G. Atkeson:
A Multi-flash Stereo Camera for Photo-realistic Capture of Small Scenes. SIGGRAPH Asia Technical Communications 2024: 32:1-32:5 - [i49]Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov:
Understanding Video Transformers via Universal Concept Discovery. CoRR abs/2401.10831 (2024) - [i48]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 abs/2402.12647 (2024) - [i47]Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov:
Zero-Shot Multi-Object Shape Completion. CoRR abs/2403.14628 (2024) - [i46]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 abs/2404.01300 (2024) - [i45]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 abs/2404.19221 (2024) - [i44]Sergey Zakharov, Katherine Liu, Adrien Gaidon, Rares Ambrus:
ReFiNe: Recursive Field Networks for Cross-modal Multi-scene Representation. CoRR abs/2406.04309 (2024) - [i43]Arkadeep Narayan Chaudhury, Igor Vasiljevic, Sergey Zakharov, Vitor Guizilini, Rares Ambrus, Srinivasa Narasimhan, Christopher G. Atkeson:
Incorporating dense metric depth into neural 3D representations for view synthesis and relighting. CoRR abs/2409.03061 (2024) - [i42]Vitor Guizilini, Pavel Tokmakov, Achal Dave, Rares Ambrus:
GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion. CoRR abs/2409.09896 (2024) - [i41]Muhammad Zubair Irshad, Mauro Comi, Yen-Chen Lin, Nick Heppert, Abhinav Valada, Rares Ambrus, Zsolt Kira, Jonathan Tremblay:
Neural Fields in Robotics: A Survey. CoRR abs/2410.20220 (2024) - [i40]Yinshuang Xu, Dian Chen, Katherine Liu, Sergey Zakharov, Rares Ambrus, Kostas Daniilidis, Vitor Guizilini:
SE(3) Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation. CoRR abs/2411.07326 (2024) - [i39]Keunwoo Peter Yu, Achal Dave, Rares Ambrus, Jean Mercat:
Espresso: High Compression For Rich Extraction From Videos for Your Vision-Language Model. CoRR abs/2412.04729 (2024) - 2023
- [c42]Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon:
Viewpoint Equivariance for Multi-View 3D Object Detection. CVPR 2023: 9213-9222 - [c41]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 - [c40]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: 9153-9164 - [c39]Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon:
Towards Zero-Shot Scale-Aware Monocular Depth Estimation. ICCV 2023: 9199-9209 - [c38]Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon:
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. ICCV 2023: 17889-17899 - [c37]Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Andrei Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann:
Neural Groundplans: Persistent Neural Scene Representations from a Single Image. ICLR 2023 - [c36]Adam W. Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, Katerina Fragkiadaki:
Simple-BEV: What Really Matters for Multi-Sensor BEV Perception? ICRA 2023: 2759-2765 - [c35]Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Adrien Gaidon, Rares Ambrus:
Robust Self-Supervised Extrinsic Self-Calibration. IROS 2023: 1932-1939 - [i38]Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon:
Viewpoint Equivariance for Multi-View 3D Object Detection. CoRR abs/2303.14548 (2023) - [i37]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) - [i36]Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon:
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. CoRR abs/2304.02797 (2023) - [i35]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 abs/2305.13307 (2023) - [i34]Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon:
Towards Zero-Shot Scale-Aware Monocular Depth Estimation. CoRR abs/2306.17253 (2023) - [i33]Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Adrien Gaidon, Rares Ambrus:
Robust Self-Supervised Extrinsic Self-Calibration. CoRR abs/2308.02153 (2023) - [i32]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 abs/2308.12967 (2023) - [i31]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 abs/2310.02532 (2023) - [i30]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 abs/2310.12974 (2023) - 2022
- [j6]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): 3491-3498 (2022) - [j5]Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon:
Full Surround Monodepth From Multiple Cameras. IEEE Robotics Autom. Lett. 7(2): 5397-5404 (2022) - [c34]Xiangru Huang, Yue Wang, Vitor Campanholo Guizilini, Rares Andrei Ambrus, Adrien Gaidon, Justin M. Solomon:
Representation Learning for Object Detection from Unlabeled Point Cloud Sequences. CoRL 2022: 1277-1288 - [c33]Sergey Zakharov, Rares Andrei Ambrus, Katherine Liu, Adrien Gaidon:
ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes. CoRL 2022: 2136-2147 - [c32]Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon:
Multi-Frame Self-Supervised Depth with Transformers. CVPR 2022: 160-170 - [c31]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: 275-292 - [c30]Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon:
Photo-realistic Neural Domain Randomization. ECCV (25) 2022: 310-327 - [c29]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: 639-656 - [c28]Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter:
Self-Supervised Camera Self-Calibration from Video. ICRA 2022: 8468-8475 - [i29]Vitor Guizilini, Kuan-Hui Lee, Rares Ambrus, Adrien Gaidon:
Learning Optical Flow, Depth, and Scene Flow without Real-World Labels. CoRR abs/2203.15089 (2022) - [i28]Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon:
Multi-Frame Self-Supervised Depth with Transformers. CoRR abs/2204.07616 (2022) - [i27]Adam W. Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, Katerina Fragkiadaki:
A Simple Baseline for BEV Perception Without LiDAR. CoRR abs/2206.07959 (2022) - [i26]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 abs/2207.05856 (2022) - [i25]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 abs/2207.11232 (2022) - [i24]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 abs/2207.13691 (2022) - [i23]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 abs/2207.14287 (2022) - [i22]Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon:
Photo-realistic Neural Domain Randomization. CoRR abs/2210.12682 (2022) - [i21]Tara Sadjadpour, Jie Li, Rares Ambrus, Jeannette Bohg:
ShaSTA: Modeling Shape and 0031Spatio-Temporal Affinities for 3D Multi-Object Tracking. CoRR abs/2211.03919 (2022) - [i20]Sergey Zakharov, Rares Ambrus, Katherine Liu, Adrien Gaidon:
ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes. CoRR abs/2212.06193 (2022) - 2021
- [c27]Sergey Zakharov, Rares Andrei Ambrus, Vitor Guizilini, Dennis Park, Wadim Kehl, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon:
Single-Shot Scene Reconstruction. CoRL 2021: 501-512 - [c26]Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon:
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. CVPR 2021: 11078-11088 - [c25]Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon:
Is Pseudo-Lidar needed for Monocular 3D Object detection? ICCV 2021: 3122-3132 - [c24]Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon:
Geometric Unsupervised Domain Adaptation for Semantic Segmentation. ICCV 2021: 8517-8527 - [c23]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: 15479-15489 - [c22]Hsu-Kuang Chiu, Jie Li, Rares Ambrus, Jeannette Bohg:
Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving. ICRA 2021: 14227-14233 - [c21]Rares Ambrus, Vitor Guizilini, Naveen Kuppuswamy, Andrew Beaulieu, Adrien Gaidon, Alex Alspach:
Monocular Depth Estimation for Soft Visuotactile Sensors. RoboSoft 2021: 643-649 - [i19]Rares Ambrus, Vitor Guizilini, Naveen Kuppuswamy, Andrew Beaulieu, Adrien Gaidon, Alex Alspach:
Monocular Depth Estimation for Soft Visuotactile Sensors. CoRR abs/2101.01677 (2021) - [i18]Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon:
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. CoRR abs/2103.16690 (2021) - [i17]Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon:
Geometric Unsupervised Domain Adaptation for Semantic Segmentation. CoRR abs/2103.16694 (2021) - [i16]Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon:
Full Surround Monodepth from Multiple Cameras. CoRR abs/2104.00152 (2021) - [i15]Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon:
Is Pseudo-Lidar needed for Monocular 3D Object detection? CoRR abs/2108.06417 (2021) - [i14]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 abs/2109.13432 (2021) - [i13]Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter:
Self-Supervised Camera Self-Calibration from Video. CoRR abs/2112.03325 (2021) - 2020
- [c20]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: 1-11 - [c19]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: 2085-2103 - [c18]Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Allan Raventos, Adrien Gaidon:
3D Packing for Self-Supervised Monocular Depth Estimation. CVPR 2020: 2482-2491 - [c17]Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon:
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. ICLR 2020 - [c16]Jiexiong Tang, Hanme Kim, Vitor Guizilini, Sudeep Pillai, Rares Ambrus:
Neural Outlier Rejection for Self-Supervised Keypoint Learning. ICLR 2020 - [c15]Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard:
Driving Through Ghosts: Behavioral Cloning with False Positives. IROS 2020: 5431-5437 - [i12]Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon:
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. CoRR abs/2002.12319 (2020) - [i11]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 abs/2008.06630 (2020) - [i10]Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard:
Driving Through Ghosts: Behavioral Cloning with False Positives. CoRR abs/2008.12969 (2020) - [i9]Hsu-Kuang Chiu, Jie Li, Rares Ambrus, Jeannette Bohg:
Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving. CoRR abs/2012.13755 (2020)
2010 – 2019
- 2019
- [c14]Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon:
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. CoRL 2019: 503-512 - [c13]Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon:
Two Stream Networks for Self-Supervised Ego-Motion Estimation. CoRL 2019: 1052-1061 - [c12]Sudeep Pillai, Rares Ambrus, Adrien Gaidon:
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation. ICRA 2019: 9250-9256 - [i8]Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Adrien Gaidon:
PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation. CoRR abs/1905.02693 (2019) - [i7]Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon:
Two Stream Networks for Self-Supervised Ego-Motion Estimation. CoRR abs/1910.01764 (2019) - [i6]Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon:
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. CoRR abs/1910.01765 (2019) - [i5]Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Adrien Gaidon:
Self-Supervised 3D Keypoint Learning for Ego-motion Estimation. CoRR abs/1912.03426 (2019) - [i4]Jiexiong Tang, Hanme Kim, Vitor Guizilini, Sudeep Pillai, Rares Ambrus:
Neural Outlier Rejection for Self-Supervised Keypoint Learning. CoRR abs/1912.10615 (2019) - 2018
- [c11]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: 1871-1878 - [i3]Sudeep Pillai, Rares Ambrus, Adrien Gaidon:
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation. CoRR abs/1810.01849 (2018) - 2017
- [b1]Rares Ambrus:
Unsupervised construction of 4D semantic maps in a long-term autonomy scenario. Royal Institute of Technology, Stockholm, Sweden, 2017 - [j4]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): 26-33 (2017) - [j3]Rares Ambrus, Sebastian Claici, Axel Wendt:
Automatic Room Segmentation From Unstructured 3-D Data of Indoor Environments. IEEE Robotics Autom. Lett. 2(2): 749-756 (2017) - [j2]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): 146-156 (2017) - [j1]Nils Bore, Rares Ambrus, Patric Jensfelt, John Folkesson:
Efficient retrieval of arbitrary objects from long-term robot observations. Robotics Auton. Syst. 91: 139-150 (2017) - [c10]Michael C. Welle, Ludvig Ericson, Rares Ambrus, Patric Jensfelt:
On the use of unmanned aerial vehicles for autonomous object modeling. ECMR 2017: 1-6 - [c9]Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt:
Autonomous meshing, texturing and recognition of object models with a mobile robot. IROS 2017: 5071-5078 - [i2]Johan Ekekrantz, Nils Bore, Rares Ambrus, John Folkesson, Patric Jensfelt:
Unsupervised Object Discovery and Segmentation of RGBD-images. CoRR abs/1710.06929 (2017) - 2016
- [c8]Rares Ambrus, John Folkesson, Patric Jensfelt:
Unsupervised object segmentation through change detection in a long term autonomy scenario. Humanoids 2016: 1181-1187 - [i1]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 abs/1604.04384 (2016) - 2015
- [c7]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: 2140-2146 - [c6]Rares Ambrus, Johan Ekekrantz, John Folkesson, Patric Jensfelt:
Unsupervised learning of spatial-temporal models of objects in a long-term autonomy scenario. IROS 2015: 5678-5685 - 2014
- [c5]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: 1528-1535 - [c4]Zhan Wang, Rares Ambrus, Patric Jensfelt, John Folkesson:
Modeling motion patterns of dynamic objects by IOHMM. IROS 2014: 1832-1838 - [c3]Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt:
Meta-rooms: Building and maintaining long term spatial models in a dynamic world. IROS 2014: 1854-1861 - 2013
- [c2]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: 72:1-72:6
2000 – 2009
- 2008
- [c1]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: 2103-2108
Coauthor Index
[c51] [c50] [c49] [c44] [i49] [i47] [i46] [i44] [c42] [c40] [c39] [c38] [c37] [c35] [i38] [i36] [i35] [i34] [i33] [i32] [j6] [j5] [c34] [c33] [c32] [c31] [c30] [c28] [i29] [i28] [i25] [i24] [i23] [i22] [i20] [c27] [c26] [c25] [c24] [c23] [c21] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [c20] [c19] [c18] [c17] [c15] [i12] [i11] [i10] [c14] [c13] [c12] [i8] [i7] [i6] [i5] [i3]
[i50] [c50] [c49] [c46] [c45] [c43] [i47] [i46] [i45] [i43] [i42] [i40] [c42] [c40] [c39] [c38] [c35] [i38] [i36] [i35] [i34] [i33] [i32] [j6] [j5] [c34] [c32] [c30] [c29] [c28] [i29] [i28] [i26] [i23] [i22] [c27] [c26] [c25] [c24] [c21] [i19] [i18] [i17] [i16] [i15] [i13] [c20] [c19] [c18] [c17] [c16] [i12] [i11] [c14] [c13] [i8] [i7] [i6] [i5] [i4]
Gregory Shakhnarovich
aka: Greg Shakhnarovich
aka: Greg Shakhnarovich
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-04-03 00:20 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
