Rares Ambrus - RankMe

115 papers A* 24A 9C 1Misc 3Journal 63Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A careful examination of large behavior models for multitask dexterous manipulation. Sci. Robotics Jose A. Barreiros, Andrew Beaulieu, Aditya Bhat, Rick Cory, Eric Cousineau, Hongkai Dai, Ching-Hsin Fang, Kunimatsu Hashimoto, Muhammad Zubair Irshad, Masha Itkina, Naveen Kuppuswamy, Kuan-Hui Lee, Katherine Liu, Dale McConachie, Ian McMahon, Haruki Nishimura, Calder Phillips-Grafflin, Charles Richter, Paarth Shah, Krishnan Srinivasan, Blake Wulfe, Chen Xu, Mengchao Zhang, Alex Alspach, Maya Angeles, Kushal Arora, Vitor Campagnolo Guizilini, Alejandro M. Castro, Dian Chen, Ting-Sheng Chu, Sam Creasey, Sean Curtis, Richard Denitto, Emma Dixon, Eric Dusel, Matthew Ferreira, Aimee Goncalves, Grant Gould, Damrong Guoy, Swati Gupta, Xuchen Han, Kyle Hatch, Brendan Hathaway, Allison Henry, Hillel Hochsztein, Phoebe Horgan, Shun Iwase, Donovon Jackson, Siddharth Karamcheti, Sedrick Keh, Joseph Masterjohn, Masayuki Masuda, Jean Mercat, Patrick Tree Miller, Paul Mitiguy, Tony Nguyen, Jeremy Nimmer, Yuki Noguchi, Reko Ong, Aykut Özgün Önol, Owen Pfannenstiehl, Richard Poyner, Leticia Priebe Rocha, Gordon Richardson, Christopher Rodriguez, Derick Seale, Michael A. Sherman, Mariah Smith-Jones, David Tago, Pavel Tokmakov, Matthew Tran, Basile Van Hoorick, Igor Vasiljevic, Sergey Zakharov, Mark Zolotas, Rares Ambrus, Kerri Fetzer-Borelli, Benjamin Burchfiel, Hadas Kress-Gazit, Siyuan Feng, Stacie Ford, Russ Tedrake
2025	J	`jnl`	AllTracker: Efficient Dense Point Tracking at High Resolution. CoRR Adam W. Harley, Yang You, Xinglong Sun, Yang Zheng, Nikhil Raghuraman, Yunqi Gu, Sheldon Liang, Wen-Hsuan Chu, Achal Dave, Pavel Tokmakov, Suya You, Rares Ambrus, Katerina Fragkiadaki, Leonidas J. Guibas
2025	J	`jnl`	Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies. CoRR Chen Xu, Tony Khuong Nguyen, Emma Dixon, Christopher Rodriguez, Patrick Tree Miller, Robert Lee, Paarth Shah, Rares Ambrus, Haruki Nishimura, Masha Itkina
2025	—	`conf`	GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion. 3DV Vitor Guizilini, Pavel Tokmakov, Achal Dave, Rares Ambrus
2025	J	`jnl`	GTR: Gaussian Splatting Tracking and Reconstruction of Unknown Objects Based on Appearance and Geometric Complexity. CoRR Takuya Ikeda, Sergey Zakharov, Muhammad Zubair Irshad, Istvan Balazs Opra, Shun Iwase, Dian Chen, Mark Tjersland, Robert Lee, Alexandre Dilly, Rares Ambrus, Koichi Nishiwaki
2025	—	`conf`	Incorporating Dense Metric Depth into Neural 3D Representations for View Synthesis and Relighting. 3DV Arkadeep Narayan Chaudhury, Igor Vasiljevic, Sergey Zakharov, Vitor Guizilini, Rares Ambrus, Srinivasa Narasimhan, Christopher G. Atkeson
2025	A*	`conf`	OmniShape: Zero-Shot Multi-Hypothesis Shape and Pose Estimation in the Real World. ICRA Katherine Liu, Sergey Zakharov, Dian Chen, Takuya Ikeda, Greg Shakhnarovich, Adrien Gaidon, Rares Ambrus
2025	J	`jnl`	OmniShape: Zero-Shot Multi-Hypothesis Shape and Pose Estimation in the Real World. CoRR Katherine Liu, Sergey Zakharov, Dian Chen, Takuya Ikeda, Greg Shakhnarovich, Adrien Gaidon, Rares Ambrus
2025	J	`jnl`	Video Generators are Robot Policies. CoRR Junbang Liang, Pavel Tokmakov, Ruoshi Liu, Sruthi Sudhakar, Paarth Shah, Rares Ambrus, Carl Vondrick
2025	A*	`conf`	Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion. CVPR Vitor Guizilini, Muhammad Zubair Irshad, Dian Chen, Greg Shakhnarovich, Rares Ambrus
2025	J	`jnl`	Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion. CoRR Vitor Guizilini, Muhammad Zubair Irshad, Dian Chen, Greg Shakhnarovich, Rares Ambrus
2025	A*	`conf`	ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping. CVPR Shun Iwase, Muhammad Zubair Irshad, Katherine Liu, Vitor Guizilini, Robert Lee, Takuya Ikeda, Ayako Amma, Koichi Nishiwaki, Kris Kitani, Rares Ambrus, Sergey Zakharov
2025	J	`jnl`	ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping. CoRR Shun Iwase, Muhammad Zubair Irshad, Katherine Liu, Vitor Guizilini, Robert Lee, Takuya Ikeda, Ayako Amma, Koichi Nishiwaki, Kris Kitani, Rares Ambrus, Sergey Zakharov
2024	A*	`conf`	$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation. NeurIPS Yinshuang Xu, Dian Chen, Katherine Liu, Sergey Zakharov, Rares Ambrus, Kostas Daniilidis, Vitor Guizilini
2024	—	`conf`	A Multi-flash Stereo Camera for Photo-realistic Capture of Small Scenes. SIGGRAPH Asia Technical Communications Arkadeep Narayan Chaudhury, Igor Vasiljevic, Sergey Zakharov, Vitor Guizilini, Rares Ambrus, Srinivasa G. Narasimhan, Christopher G. Atkeson
2024	A	`conf`	DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose Estimation. IROS Takuya Ikeda, Sergey Zakharov, Tianyi Ko, Muhammad Zubair Irshad, Robert Lee, Katherine Liu, Rares Ambrus, Koichi Nishiwaki
2024	J	`jnl`	DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose Estimation. CoRR Takuya Ikeda, Sergey Zakharov, Tianyi Ko, Muhammad Zubair Irshad, Robert Lee, Katherine Liu, Rares Ambrus, Koichi Nishiwaki
2024	J	`jnl`	Espresso: High Compression For Rich Extraction From Videos for Your Vision-Language Model. CoRR Keunwoo Peter Yu, Achal Dave, Rares Ambrus, Jean Mercat
2024	A*	`conf`	FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects. ICRA Mayank Lunayach, Sergey Zakharov, Dian Chen, Rares Ambrus, Zsolt Kira, Muhammad Zubair Irshad
2024	J	`jnl`	GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion. CoRR Vitor Guizilini, Pavel Tokmakov, Achal Dave, Rares Ambrus
2024	J	`jnl`	Incorporating dense metric depth into neural 3D representations for view synthesis and relighting. CoRR Arkadeep Narayan Chaudhury, Igor Vasiljevic, Sergey Zakharov, Vitor Guizilini, Rares Ambrus, Srinivasa Narasimhan, Christopher G. Atkeson
2024	J	`jnl`	NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields. CoRR Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira, Rares Ambrus
2024	—	`conf`	NeRF-MAE: Masked AutoEncoders for Self-supervised 3D Representation Learning for Neural Radiance Fields. ECCV (88) Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira, Rares Ambrus
2024	J	`jnl`	Neural Fields in Robotics: A Survey. CoRR Muhammad Zubair Irshad, Mauro Comi, Yen-Chen Lin, Nick Heppert, Abhinav Valada, Rares Ambrus, Zsolt Kira, Jonathan Tremblay
2024	—	`conf`	ReFiNe: Recursive Field Networks for Cross-Modal Multi-Scene Representation. SIGGRAPH (Conference Paper Track) Sergey Zakharov, Katherine Liu, Adrien Gaidon, Rares Ambrus
2024	J	`jnl`	ReFiNe: Recursive Field Networks for Cross-modal Multi-scene Representation. CoRR Sergey Zakharov, Katherine Liu, Adrien Gaidon, Rares Ambrus
2024	J	`jnl`	SE(3) Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation. CoRR Yinshuang Xu, Dian Chen, Katherine Liu, Sergey Zakharov, Rares Ambrus, Kostas Daniilidis, Vitor Guizilini
2024	J	`jnl`	ShaSTA: Modeling Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking. IEEE Robotics Autom. Lett. Tara Sadjadpour, Jie Li, Rares Ambrus, Jeannette Bohg
2024	A	`conf`	Transcrib3D: 3D Referring Expression Resolution through Large Language Models. IROS Jiading Fang, Xiangshan Tan, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Hongyuan Mei, Rares Ambrus, Gregory Shakhnarovich, Matthew R. Walter
2024	J	`jnl`	Transcrib3D: 3D Referring Expression Resolution through Large Language Models. CoRR Jiading Fang, Xiangshan Tan, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Hongyuan Mei, Rares Ambrus, Gregory Shakhnarovich, Matthew R. Walter
2024	A*	`conf`	Understanding Video Transformers via Universal Concept Discovery. CVPR Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov
2024	J	`jnl`	Understanding Video Transformers via Universal Concept Discovery. CoRR Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov
2024	J	`jnl`	Zero-Shot Multi-Object Shape Completion. CoRR Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov
2024	—	`conf`	Zero-Shot Multi-object Scene Completion. ECCV (3) Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov
2023	A*	`conf`	DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. ICCV Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon
2023	J	`jnl`	DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. CoRR Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon
2023	J	`jnl`	FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects. CoRR Mayank Lunayach, Sergey Zakharov, Dian Chen, Rares Ambrus, Zsolt Kira, Muhammad Zubair Irshad
2023	A*	`conf`	NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. ICCV Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus
2023	J	`jnl`	NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. CoRR Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus
2023	J	`jnl`	NeRFuser: Large-Scale Scene Representation by NeRF Fusion. CoRR Jiading Fang, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Adrien Gaidon, Gregory Shakhnarovich, Matthew R. Walter
2023	A	`conf`	Robust Self-Supervised Extrinsic Self-Calibration. IROS Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Adrien Gaidon, Rares Ambrus
2023	J	`jnl`	Robust Self-Supervised Extrinsic Self-Calibration. CoRR Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Adrien Gaidon, Rares Ambrus
2023	J	`jnl`	ShaSTA-Fuse: Camera-LiDAR Sensor Fusion to Model Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking. CoRR Tara Sadjadpour, Rares Ambrus, Jeannette Bohg
2023	A*	`conf`	Simple-BEV: What Really Matters for Multi-Sensor BEV Perception? ICRA Adam W. Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, Katerina Fragkiadaki
2023	A*	`conf`	Towards Zero-Shot Scale-Aware Monocular Depth Estimation. ICCV Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon
2023	J	`jnl`	Towards Zero-Shot Scale-Aware Monocular Depth Estimation. CoRR Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon
2023	A*	`conf`	Viewpoint Equivariance for Multi-View 3D Object Detection. CVPR Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon
2023	J	`jnl`	Viewpoint Equivariance for Multi-View 3D Object Detection. CoRR Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon
2022	J	`jnl`	A Simple Baseline for BEV Perception Without LiDAR. CoRR Adam W. Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, Katerina Fragkiadaki
2022	J	`jnl`	Depth Field Networks for Generalizable Multi-view Scene Representation. CoRR Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon
2022	J	`jnl`	Full Surround Monodepth From Multiple Cameras. IEEE Robotics Autom. Lett. Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon
2022	J	`jnl`	Learning Optical Flow, Depth, and Scene Flow Without Real-World Labels. IEEE Robotics Autom. Lett. Vitor Guizilini, Kuan-Hui Lee, Rares Ambrus, Adrien Gaidon
2022	J	`jnl`	Learning Optical Flow, Depth, and Scene Flow without Real-World Labels. CoRR Vitor Guizilini, Kuan-Hui Lee, Rares Ambrus, Adrien Gaidon
2022	A*	`conf`	Multi-Frame Self-Supervised Depth with Transformers. CVPR Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon
2022	J	`jnl`	Multi-Frame Self-Supervised Depth with Transformers. CoRR Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon
2022	—	`conf`	Photo-realistic Neural Domain Randomization. ECCV (25) Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon
2022	J	`jnl`	Photo-realistic Neural Domain Randomization. CoRR Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon
2022	J	`jnl`	ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes. CoRR Sergey Zakharov, Rares Ambrus, Katherine Liu, Adrien Gaidon
2022	J	`jnl`	Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement. CoRR Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann
2022	A*	`conf`	Self-Supervised Camera Self-Calibration from Video. ICRA Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter
2022	J	`jnl`	ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization. CoRR Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon
2022	—	`conf`	ShAPO: Implicit Representations for Multi-object Shape, Appearance, and Pose Optimization. ECCV (2) Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon
2022	J	`jnl`	ShaSTA: Modeling Shape and 0031Spatio-Temporal Affinities for 3D Multi-Object Tracking. CoRR Tara Sadjadpour, Jie Li, Rares Ambrus, Jeannette Bohg
2022	—	`conf`	SpOT: Spatiotemporal Modeling for 3D Object Tracking. ECCV (38) Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas
2022	J	`jnl`	SpOT: Spatiotemporal Modeling for 3D Object Tracking. CoRR Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas
2021	J	`jnl`	Full Surround Monodepth from Multiple Cameras. CoRR Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon
2021	A*	`conf`	Geometric Unsupervised Domain Adaptation for Semantic Segmentation. ICCV Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon
2021	J	`jnl`	Geometric Unsupervised Domain Adaptation for Semantic Segmentation. CoRR Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon
2021	A*	`conf`	Is Pseudo-Lidar needed for Monocular 3D Object detection? ICCV Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon
2021	J	`jnl`	Is Pseudo-Lidar needed for Monocular 3D Object detection? CoRR Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon
2021	—	`conf`	Monocular Depth Estimation for Soft Visuotactile Sensors. RoboSoft Rares Ambrus, Vitor Guizilini, Naveen Kuppuswamy, Andrew Beaulieu, Adrien Gaidon, Alex Alspach
2021	J	`jnl`	Monocular Depth Estimation for Soft Visuotactile Sensors. CoRR Rares Ambrus, Vitor Guizilini, Naveen Kuppuswamy, Andrew Beaulieu, Adrien Gaidon, Alex Alspach
2021	A*	`conf`	Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving. ICRA Hsu-Kuang Chiu, Jie Li, Rares Ambrus, Jeannette Bohg
2021	J	`jnl`	Self-Supervised Camera Self-Calibration from Video. CoRR Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter
2021	A*	`conf`	Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. CVPR Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon
2021	J	`jnl`	Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. CoRR Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon
2021	A*	`conf`	Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency. ICCV Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon
2021	J	`jnl`	Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency. CoRR Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon
2020	A*	`conf`	3D Packing for Self-Supervised Monocular Depth Estimation. CVPR Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Allan Raventos, Adrien Gaidon
2020	A	`conf`	Driving Through Ghosts: Behavioral Cloning with False Positives. IROS Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard
2020	J	`jnl`	Driving Through Ghosts: Behavioral Cloning with False Positives. CoRR Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard
2020	A*	`conf`	Neural Outlier Rejection for Self-Supervised Keypoint Learning. ICLR Jiexiong Tang, Hanme Kim, Vitor Guizilini, Sudeep Pillai, Rares Ambrus
2020	—	`conf`	Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion. 3DV Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon
2020	J	`jnl`	Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion. CoRR Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon
2020	J	`jnl`	Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving. CoRR Hsu-Kuang Chiu, Jie Li, Rares Ambrus, Jeannette Bohg
2020	Misc	`conf`	Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation. CoRL Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Patric Jensfelt, Adrien Gaidon
2020	A*	`conf`	Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. ICLR Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon
2020	J	`jnl`	Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. CoRR Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon
2019	J	`jnl`	Neural Outlier Rejection for Self-Supervised Keypoint Learning. CoRR Jiexiong Tang, Hanme Kim, Vitor Guizilini, Sudeep Pillai, Rares Ambrus
2019	J	`jnl`	PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation. CoRR Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Adrien Gaidon
2019	Misc	`conf`	Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. CoRL Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon
2019	J	`jnl`	Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. CoRR Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon
2019	J	`jnl`	Self-Supervised 3D Keypoint Learning for Ego-motion Estimation. CoRR Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Adrien Gaidon
2019	A*	`conf`	SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation. ICRA Sudeep Pillai, Rares Ambrus, Adrien Gaidon
2019	Misc	`conf`	Two Stream Networks for Self-Supervised Ego-Motion Estimation. CoRL Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon
2019	J	`jnl`	Two Stream Networks for Self-Supervised Ego-Motion Estimation. CoRR Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon
2018	A*	`conf`	Semantic Labeling of Indoor Environments from 3D RGB Maps. ICRA Manuel Brucker, Maximilian Durner, Rares Ambrus, Zoltan Csaba Marton, Axel Wendt, Patric Jensfelt, Kai Oliver Arras, Rudolph Triebel
2018	J	`jnl`	SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation. CoRR Sudeep Pillai, Rares Ambrus, Adrien Gaidon
2017	J	`jnl`	Automatic Room Segmentation From Unstructured 3-D Data of Indoor Environments. IEEE Robotics Autom. Lett. Rares Ambrus, Sebastian Claici, Axel Wendt
2017	J	`jnl`	Autonomous Learning of Object Models on a Mobile Robot. IEEE Robotics Autom. Lett. Thomas Faulhammer, Rares Ambrus, Chris Burbridge, Michael Zillich, John Folkesson, Nick Hawes, Patric Jensfelt, Markus Vincze
2017	A	`conf`	Autonomous meshing, texturing and recognition of object models with a mobile robot. IROS Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt
2017	J	`jnl`	Efficient retrieval of arbitrary objects from long-term robot observations. Robotics Auton. Syst. Nils Bore, Rares Ambrus, Patric Jensfelt, John Folkesson
2017	—	`conf`	On the use of unmanned aerial vehicles for autonomous object modeling. ECMR Michael C. Welle, Ludvig Ericson, Rares Ambrus, Patric Jensfelt
2017	J	`jnl`	The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics Autom. Mag. 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
2017	J	`jnl`	Unsupervised Object Discovery and Segmentation of RGBD-images. CoRR Johan Ekekrantz, Nils Bore, Rares Ambrus, John Folkesson, Patric Jensfelt
2017	—	`—`	Unsupervised construction of 4D semantic maps in a long-term autonomy scenario. Rares Ambrus
2016	J	`jnl`	The STRANDS Project: Long-Term Autonomy in Everyday Environments. CoRR 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
2016	—	`conf`	Unsupervised object segmentation through change detection in a long term autonomy scenario. Humanoids Rares Ambrus, John Folkesson, Patric Jensfelt
2015	A	`conf`	Unsupervised learning of spatial-temporal models of objects in a long-term autonomy scenario. IROS Rares Ambrus, Johan Ekekrantz, John Folkesson, Patric Jensfelt
2015	A*	`conf`	Where's waldo at time t ? using spatio-temporal models for mobile robot search. ICRA Tomás Krajník, Miroslav Kulich, Lenka Mudrová, Rares Ambrus, Tom Duckett
2014	C	`conf`	KTH-3D-TOTAL: A 3D dataset for discovering spatial structures for long-term autonomous learning. ICARCV 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
2014	A	`conf`	Meta-rooms: Building and maintaining long term spatial models in a dynamic world. IROS Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt
2014	A	`conf`	Modeling motion patterns of dynamic objects by IOHMM. IROS Zhan Wang, Rares Ambrus, Patric Jensfelt, John Folkesson
2013	—	`conf`	Unmanned Vehicles Conversion Kits: a minimally invasive system for the conversion of regular vehicles into tele-operable and autonomous platforms. AIR Rares Ambrus, Akash Vibhute, Geetesh Dubey, Anuj Kapuria
2008	A	`conf`	Augmented autonomy: Improving human-robot team performance in Urban search and rescue. IROS Yashodhan Nevatia, Todor Stoyanov, Ravi Rathnam, Max Pfingsthorn, Stefan Markov, Rares Ambrus, Andreas Birk