Ambrus, Rares

23 publications

ICCV 2025 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 Guibas

CVPR 2025 Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Vitor Guizilini, Muhammad Zubair Irshad, Dian Chen, 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

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

ECCV 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

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

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 Towards Zero-Shot Scale-Aware Monocular Depth Estimation Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rareș Ambruș, Adrien Gaidon

ECCV 2022 Depth Field Networks for Generalizable Multi-View Scene Representation Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rareș Ambruș, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon

CVPR 2022 Multi-Frame Self-Supervised Depth with Transformers Vitor Guizilini, Rareș Ambruș, Dian Chen, Sergey Zakharov, Adrien Gaidon

ECCV 2022 Photo-Realistic Neural Domain Randomization Sergey Zakharov, Rareș Ambruș, Vitor Guizilini, Wadim Kehl, Adrien Gaidon

ECCV 2022 ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization Muhammad Zubair Irshad, Sergey Zakharov, Rareș Ambruș, Thomas Kollar, Zsolt Kira, Adrien Gaidon

ECCV 2022 SpOT: Spatiotemporal Modeling for 3D Object Tracking Colton Stearns, Davis Rempe, Jie Li, Rareș Ambruș, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas

ICCV 2021 Geometric Unsupervised Domain Adaptation for Semantic Segmentation Vitor Guizilini, Jie Li, Rareș Ambruș, Adrien Gaidon

ICCV 2021 Is Pseudo-LiDAR Needed for Monocular 3D Object Detection? Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon

CVPR 2021 Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon

ICCV 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

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

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

ICLR 2020 Semantically-Guided Representation Learning for Self-Supervised Monocular Depth Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon

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

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