Rares Ambrus
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
44
Venues
10
Active years
2008–2025
Best venue rank
A*
Where they publish
Papers
44 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion. | Vitor Guizilini, Muhammad Zubair Irshad, Dian Chen, Greg Shakhnarovich, Rares Ambrus |
| 2025 | CVPR | 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 |
| 2025 | ICCV | AllTracker: Efficient Dense Point Tracking at High Resolution. | Adam W. Harley, Yang You, Xinglong Sun, Yang Zheng, Nikhil Raghuraman, Yunqi Gu, Sheldon Liang, Wen-Hsuan Chu, Achal Dave, Suya You, Rares Ambrus, Katerina Fragkiadaki, Leonidas J. Guibas |
| 2025 | ICRA | OmniShape: Zero-Shot Multi-Hypothesis Shape and Pose Estimation in the Real World. | Katherine Liu, Sergey Zakharov, Dian Chen, Takuya Ikeda, Greg Shakhnarovich, Adrien Gaidon, Rares Ambrus |
| 2024 | CVPR | Understanding Video Transformers via Universal Concept Discovery. | Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov |
| 2024 | ECCV | 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 |
| 2024 | ECCV | Zero-Shot Multi-object Scene Completion. | Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov |
| 2024 | ICRA | FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects. | Mayank Lunayach, Sergey Zakharov, Dian Chen, Rares Ambrus, Zsolt Kira, Muhammad Zubair Irshad |
| 2024 | IROS | 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 |
| 2024 | IROS | 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 |
| 2024 | SIGGRAPH | ReFiNe: Recursive Field Networks for Cross-Modal Multi-Scene Representation. | Sergey Zakharov, Katherine Liu, Adrien Gaidon, Rares Ambrus |
| 2024 | SiggraphA | A Multi-flash Stereo Camera for Photo-realistic Capture of Small Scenes. | Arkadeep Narayan Chaudhury, Igor Vasiljevic, Sergey Zakharov, Vitor Guizilini, Rares Ambrus, Srinivasa G. Narasimhan, Christopher G. Atkeson |
| 2023 | CVPR | Viewpoint Equivariance for Multi-View 3D Object Detection. | Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon |
| 2023 | ICCV | Towards Zero-Shot Scale-Aware Monocular Depth Estimation. | Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon |
| 2023 | ICCV | DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. | Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon |
| 2023 | ICCV | 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 |
| 2023 | ICRA | Simple-BEV: What Really Matters for Multi-Sensor BEV Perception? | Adam W. Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, Katerina Fragkiadaki |
| 2023 | IROS | Robust Self-Supervised Extrinsic Self-Calibration. | Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Adrien Gaidon, Rares Ambrus |
| 2022 | CVPR | Multi-Frame Self-Supervised Depth with Transformers. | Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon |
| 2022 | ECCV | ShAPO: Implicit Representations for Multi-object Shape, Appearance, and Pose Optimization. | Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon |
| 2022 | ECCV | SpOT: Spatiotemporal Modeling for 3D Object Tracking. | Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas |
| 2022 | ECCV | Photo-realistic Neural Domain Randomization. | Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon |
| 2022 | ICRA | Self-Supervised Camera Self-Calibration from Video. | Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter |
| 2021 | CVPR | Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. | Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon |
| 2021 | ICCV | 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 |
| 2021 | ICCV | Geometric Unsupervised Domain Adaptation for Semantic Segmentation. | Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon |
| 2021 | ICCV | Is Pseudo-Lidar needed for Monocular 3D Object detection? | Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon |
| 2021 | ICRA | Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving. | Hsu-Kuang Chiu, Jie Li, Rares Ambrus, Jeannette Bohg |
| 2020 | CoRL | Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation. | Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Patric Jensfelt, Adrien Gaidon |
| 2020 | CVPR | 3D Packing for Self-Supervised Monocular Depth Estimation. | Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Allan Raventos, Adrien Gaidon |
| 2020 | ICLR | Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. | Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon |
| 2020 | ICLR | Neural Outlier Rejection for Self-Supervised Keypoint Learning. | Jiexiong Tang, Hanme Kim, Vitor Guizilini, Sudeep Pillai, Rares Ambrus |
| 2020 | IROS | Driving Through Ghosts: Behavioral Cloning with False Positives. | Andreas Bhler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard |
| 2019 | CoRL | Two Stream Networks for Self-Supervised Ego-Motion Estimation. | Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon |
| 2019 | CoRL | Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. | Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon |
| 2019 | ICRA | SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation. | Sudeep Pillai, Rares Ambrus, Adrien Gaidon |
| 2018 | ICRA | 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 |
| 2017 | IROS | Autonomous meshing, texturing and recognition of object models with a mobile robot. | Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt |
| 2015 | ICRA | Where's waldo at time t ? using spatio-temporal models for mobile robot search. | Toms Krajnk, Miroslav Kulich, Lenka Mudrov, Rares Ambrus, Tom Duckett |
| 2015 | IROS | Unsupervised learning of spatial-temporal models of objects in a long-term autonomy scenario. | Rares Ambrus, Johan Ekekrantz, John Folkesson, Patric Jensfelt |
| 2014 | ICARCV | 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 |
| 2014 | IROS | Meta-rooms: Building and maintaining long term spatial models in a dynamic world. | Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt |
| 2014 | IROS | Modeling motion patterns of dynamic objects by IOHMM. | Zhan Wang, Rares Ambrus, Patric Jensfelt, John Folkesson |
| 2008 | IROS | 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 |