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 002 (IROS, 2008)

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 (AIR, 2013)

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 (ICARCV, 2014)

Meta-rooms: Building and maintaining long term spatial models in a dynamic world. - Rares Ambrus; Nils Bore; John Folkesson; Patric Jensfelt (IROS, 2014)

Modeling motion patterns of dynamic objects by IOHMM. - Zhan Wang; Rares Ambrus; Patric Jensfelt; John Folkesson (IROS, 2014)

Where's waldo at time t ? using spatio-temporal models for mobile robot search. - Tomás Krajník; Miroslav Kulich; Lenka Mudrová; Rares Ambrus; Tom Duckett (ICRA, 2015)

Unsupervised learning of spatial-temporal models of objects in a long-term autonomy scenario. - Rares Ambrus; Johan Ekekrantz; John Folkesson; Patric Jensfelt (IROS, 2015)

Unsupervised object segmentation through change detection in a long term autonomy scenario. - Rares Ambrus; John Folkesson; Patric Jensfelt (Humanoids, 2016)

On the use of unmanned aerial vehicles for autonomous object modeling. - Michael C. Welle; Ludvig Ericson; Rares Ambrus; Patric Jensfelt (ECMR, 2017)

Autonomous meshing, texturing and recognition of object models with a mobile robot. - Rares Ambrus; Nils Bore; John Folkesson; Patric Jensfelt (IROS, 2017)

Unsupervised Object Discovery and Segmentation of RGBD-images. - Johan Ekekrantz; Nils Bore; Rares Ambrus; John Folkesson; Patric Jensfelt (CoRR, 2017)

Automatic Room Segmentation From Unstructured 3-D Data of Indoor Environments. - Rares Ambrus; Sebastian Claici; Axel Wendt (IEEE Robotics Autom. Lett., 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)

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; et al. (IEEE Robotics Autom. Mag., 2017)

Efficient retrieval of arbitrary objects from long-term robot observations. - Nils Bore; Rares Ambrus; Patric Jensfelt; John Folkesson (Robotics Auton. Syst., 2017)

Unsupervised construction of 4D semantic maps in a long-term autonomy scenario. - Rares Ambrus (2017)

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 (ICRA, 2018)

Two Stream Networks for Self-Supervised Ego-Motion Estimation. - Rares Ambrus; Vitor Guizilini; Jie Li 031; Sudeep Pillai; Adrien Gaidon (CoRL, 2019)

Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. - Vitor Guizilini; Jie Li 031; Rares Ambrus; Sudeep Pillai; Adrien Gaidon (CoRL, 2019)

SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation. - Sudeep Pillai; Rares Ambrus; Adrien Gaidon (ICRA, 2019)

PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation. - Vitor Guizilini; Rares Ambrus; Sudeep Pillai; Adrien Gaidon (CoRR, 2019)

Self-Supervised 3D Keypoint Learning for Ego-motion Estimation. - Jiexiong Tang; Rares Ambrus; Vitor Guizilini; Sudeep Pillai; Hanme Kim; Adrien Gaidon (CoRR, 2019)

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 (3DV, 2020)

Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation. - Jiexiong Tang; Rares Ambrus; Vitor Guizilini; Sudeep Pillai; Hanme Kim; Patric Jensfelt; Adrien Gaidon (CoRL, 2020)

3D Packing for Self-Supervised Monocular Depth Estimation. - Vitor Guizilini; Rares Ambrus; Sudeep Pillai; Allan Raventos; Adrien Gaidon (CVPR, 2020)

Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. - Vitor Guizilini; Rui Hou 007; Jie Li 031; Rares Ambrus; Adrien Gaidon (ICLR, 2020)

Neural Outlier Rejection for Self-Supervised Keypoint Learning. - Jiexiong Tang; Hanme Kim; Vitor Guizilini; Sudeep Pillai; Rares Ambrus (ICLR, 2020)

Driving Through Ghosts: Behavioral Cloning with False Positives. - Andreas Bühler; Adrien Gaidon; Andrei Cramariuc; Rares Ambrus; Guy Rosman; Wolfram Burgard (IROS, 2020)

Single-Shot Scene Reconstruction. - Sergey Zakharov; Rares Andrei Ambrus; Vitor Guizilini; Dennis Park; Wadim Kehl; Frédo Durand; Joshua B. Tenenbaum; Vincent Sitzmann; Jiajun Wu 001; Adrien Gaidon (CoRL, 2021)

Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. - Vitor Guizilini; Rares Ambrus; Wolfram Burgard; Adrien Gaidon (CVPR, 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 (ICCV, 2021)

Geometric Unsupervised Domain Adaptation for Semantic Segmentation. - Vitor Guizilini; Jie Li 031; Rares Ambrus; Adrien Gaidon (ICCV, 2021)

Is Pseudo-Lidar needed for Monocular 3D Object detection? - Dennis Park; Rares Ambrus; Vitor Guizilini; Jie Li 031; Adrien Gaidon (ICCV, 2021)

Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving. - Hsu-Kuang Chiu; Jie Li 031; Rares Ambrus; Jeannette Bohg (ICRA, 2021)

Monocular Depth Estimation for Soft Visuotactile Sensors. - Rares Ambrus; Vitor Guizilini; Naveen Kuppuswamy; Andrew Beaulieu; Adrien Gaidon; Alex Alspach (RoboSoft, 2021)

Representation Learning for Object Detection from Unlabeled Point Cloud Sequences. - Xiangru Huang; Yue Wang 041; Vitor Campanholo Guizilini; Rares Andrei Ambrus; Adrien Gaidon; Justin M. Solomon (CoRL, 2022)

ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes. - Sergey Zakharov; Rares Andrei Ambrus; Katherine Liu; Adrien Gaidon (CoRL, 2022)

Multi-Frame Self-Supervised Depth with Transformers. - Vitor Guizilini; Rares Ambrus; Dian Chen 005; Sergey Zakharov; Adrien Gaidon (CVPR, 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 (ECCV (2), 2022)

SpOT: Spatiotemporal Modeling for 3D Object Tracking. - Colton Stearns; Davis Rempe; Jie Li 031; Rares Ambrus; Sergey Zakharov; Vitor Guizilini; Yanchao Yang 001; Leonidas J. Guibas (ECCV (38), 2022)

Photo-realistic Neural Domain Randomization. - Sergey Zakharov; Rares Ambrus; Vitor Guizilini; Wadim Kehl; Adrien Gaidon (ECCV (25), 2022)

Self-Supervised Camera Self-Calibration from Video. - Jiading Fang; Igor Vasiljevic; Vitor Guizilini; Rares Ambrus; Greg Shakhnarovich; Adrien Gaidon; Matthew R. Walter (ICRA, 2022)

A Simple Baseline for BEV Perception Without LiDAR. - Adam W. Harley; Zhaoyuan Fang; Jie Li 031; Rares Ambrus; Katerina Fragkiadaki (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)

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)

ShaSTA: Modeling Shape and 0031Spatio-Temporal Affinities for 3D Multi-Object Tracking. - Tara Sadjadpour; Jie Li 031; Rares Ambrus; Jeannette Bohg (CoRR, 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)

Full Surround Monodepth From Multiple Cameras. - Vitor Guizilini; Igor Vasiljevic; Rares Ambrus; Greg Shakhnarovich; Adrien Gaidon (IEEE Robotics Autom. Lett., 2022)

Viewpoint Equivariance for Multi-View 3D Object Detection. - Dian Chen 005; Jie Li 031; Vitor Guizilini; Rares Ambrus; Adrien Gaidon (CVPR, 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 (CVPR, 2023)

Towards Zero-Shot Scale-Aware Monocular Depth Estimation. - Vitor Guizilini; Igor Vasiljevic; Dian Chen 005; Rares Ambrus; Adrien Gaidon (ICCV, 2023)

DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. - Vitor Guizilini; Igor Vasiljevic; Jiading Fang; Rares Ambrus; Sergey Zakharov; Vincent Sitzmann; Adrien Gaidon (ICCV, 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 (ICCV, 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 (ICLR, 2023)

Simple-BEV: What Really Matters for Multi-Sensor BEV Perception? - Adam W. Harley; Zhaoyuan Fang; Jie Li 031; Rares Ambrus; Katerina Fragkiadaki (ICRA, 2023)

Robust Self-Supervised Extrinsic Self-Calibration. - Takayuki Kanai; Igor Vasiljevic; Vitor Guizilini; Adrien Gaidon; Rares Ambrus (IROS, 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)

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)

Understanding Video Transformers via Universal Concept Discovery. - Matthew Kowal; Achal Dave; Rares Ambrus; Adrien Gaidon; Konstantinos G. Derpanis; Pavel Tokmakov (CVPR, 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 (ECCV (88), 2024)

Zero-Shot Multi-object Scene Completion. - Shun Iwase; Katherine Liu; Vitor Guizilini; Adrien Gaidon; Kris Kitani; Rares Ambrus; Sergey Zakharov (ECCV (3), 2024)

FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects. - Mayank Lunayach; Sergey Zakharov; Dian Chen 005; Rares Ambrus; Zsolt Kira; Muhammad Zubair Irshad (ICRA, 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 (IROS, 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 (IROS, 2024)

$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation. - Yinshuang Xu; Dian Chen 005; Katherine Liu; Sergey Zakharov; Rares Ambrus; Kostas Daniilidis; Vitor Guizilini (NeurIPS, 2024)

ReFiNe: Recursive Field Networks for Cross-Modal Multi-Scene Representation. - Sergey Zakharov; Katherine Liu; Adrien Gaidon; Rares Ambrus (SIGGRAPH (Conference Paper Track), 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 (SIGGRAPH Asia Technical Communications, 2024)

Zero-Shot Multi-Object Shape Completion. - Shun Iwase; Katherine Liu; Vitor Guizilini; Adrien Gaidon; Kris Kitani; Rares Ambrus; Sergey Zakharov (CoRR, 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)

Espresso: High Compression For Rich Extraction From Videos for Your Vision-Language Model. - Keunwoo Peter Yu; Achal Dave; Rares Ambrus; Jean Mercat (CoRR, 2024)

ShaSTA: Modeling Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking. - Tara Sadjadpour; Jie Li 017; Rares Ambrus; Jeannette Bohg (IEEE Robotics Autom. Lett., 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 (3DV, 2025)

GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion. - Vitor Guizilini; Pavel Tokmakov; Achal Dave; Rares Ambrus (3DV, 2025)

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion. - Vitor Guizilini; Muhammad Zubair Irshad; Dian Chen 005; Greg Shakhnarovich; Rares Ambrus (CVPR, 2025)

ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping. - Shun Iwase; Muhammad Zubair Irshad; Katherine Liu; Vitor Guizilini; Robert Lee; Takuya Ikeda; Ayako Amma; Koichi Nishiwaki; Kris Kitani; Rares Ambrus; Sergey Zakharov (CVPR, 2025)

Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies. - Chen Xu; Tony Khuong Nguyen; Emma Dixon; Christopher Rodriguez; Patrick Tree Miller; Robert Lee; Paarth Shah; Rares Ambrus; Haruki Nishimura; Masha Itkina (CoRR, 2025)

Is Your Imitation Learning Policy Better than Mine? Policy Comparison with Near-Optimal Stopping. - David Snyder; Asher Hancock; Apurva Badithela; Emma Dixon; Patrick Tree Miller; Rares Andrei Ambrus; Anirudha Majumdar; Masha Itkina; Haruki Nishimura (CoRR, 2025)

Real2Render2Real: Scaling Robot Data Without Dynamics Simulation or Robot Hardware. - Justin Yu; Letian Fu; Huang Huang; Karim El-Refai; Rares Andrei Ambrus; Richard Cheng; Muhammad Zubair Irshad; Ken Goldberg (CoRR, 2025)

GTR: Gaussian Splatting Tracking and Reconstruction of Unknown Objects Based on Appearance and Geometric Complexity. - Takuya Ikeda; Sergey Zakharov; Muhammad Zubair Irshad; Istvan Balazs Opra; Shun Iwase; Dian Chen 005; Mark Tjersland; Robert Lee; Alexandre Dilly; Rares Ambrus; Koichi Nishiwaki (CoRR, 2025)

Understanding Complexity in VideoQA via Visual Program Generation. - Cristóbal Eyzaguirre; Igor Vasiljevic; Achal Dave; Jiajun Wu 001; Rares Andrei Ambrus; Thomas Kollar; Juan Carlos Niebles; Pavel Tokmakov (CoRR, 2025)

SplArt: Articulation Estimation and Part-Level Reconstruction with 3D Gaussian Splatting. - Shengjie Lin; Jiading Fang; Muhammad Zubair Irshad; Vitor Campagnolo Guizilini; Rares Andrei Ambrus; Greg Shakhnarovich; Matthew R. Walter (CoRR, 2025)

AllTracker: Efficient Dense Point Tracking at High Resolution. - Adam W. Harley; Yang You 004; Xinglong Sun; Yang Zheng; Nikhil Raghuraman; Yunqi Gu; Sheldon Liang; Wen-Hsuan Chu; Achal Dave; Pavel Tokmakov; Suya You; Rares Ambrus; et al. (CoRR, 2025)

A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation. - TRI LBM Team; 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; et al. (CoRR, 2025)

Video Generators are Robot Policies. - Junbang Liang; Pavel Tokmakov; Ruoshi Liu; Sruthi Sudhakar; Paarth Shah; Rares Ambrus; Carl Vondrick (CoRR, 2025)

OmniShape: Zero-Shot Multi-Hypothesis Shape and Pose Estimation in the Real World. - Katherine Liu; Sergey Zakharov; Dian Chen 005; Takuya Ikeda; Greg Shakhnarovich; Adrien Gaidon; Rares Ambrus (CoRR, 2025)