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ORCIDVitor Campagnolo Guizilini
Vitor Campanholo Guizilini – Vitor Guizilini
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2020 – today
- 2025
[j11]Kenny A. Q. Caldas
, Roberto S. Inoue, Marco H. Terra, Vitor Guizilini, Fabio Ramos:
Discrete-Time Markovian Jump Linear Robust Filtering for Visual and GPS Aided Magneto-Inertial Navigation. IEEE Access 13: 7590-7602 (2025)- [j10]Cameron Omid Smith, Basile Van Hoorick, Chonghyuk Song, Vincent Sitzmann, Vitor Campagnolo Guizilini, Yue Wang:
SIRE: SE(3) Intrinsic Rigidity Embeddings. Trans. Mach. Learn. Res. 2025 (2025) - [c74]Vitor Guizilini, Pavel Tokmakov, Achal Dave, Rares Ambrus:
GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion. 3DV 2025: 112-122 - [c73]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. 3DV 2025: 637-648 - [c72]Vitor Guizilini, Muhammad Zubair Irshad, Dian Chen, Greg Shakhnarovich, Rares Ambrus:
Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion. CVPR 2025: 764-776 - [c71]Shun Iwase, Muhammad Zubair Irshad, Katherine Liu, Vitor Guizilini, Robert Lee, Takuya Ikeda, Ayako Amma, Koichi Nishiwaki, Kris Kitani, Rares Ambrus, Sergey Zakharov:
ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping. CVPR 2025: 17405-17415 - [c70]Jiahao Shao, Yuanbo Yang, Hongyu Zhou, Youmin Zhang, Yujun Shen, Vitor Guizilini, Yue Wang, Matteo Poggi, Yiyi Liao:
Learning Temporally Consistent Video Depth from Video Diffusion Priors. CVPR 2025: 22841-22852 - [c69]Jiageng Mao, Siheng Zhao, Siqi Song, Chuye Hong, Tianheng Shi, Junjie Ye, Mingtong Zhang, Haoran Geng, Jitendra Malik, Vitor Guizilini, Yue Wang:
Universal Humanoid Robot Pose Learning from Internet Human Videos. Humanoids 2025: 1-8 - [c68]Wei Chow, Jiageng Mao, Boyi Li, Daniel Seita, Vitor Campagnolo Guizilini, Yue Wang:
PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding. ICLR 2025 - [c67]Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Kazuhiro Shintani:
Self-Supervised Geometry-Guided Initialization for Robust Monocular Visual Odometry. IROS 2025: 20654-20661 - [i56]Wei Chow, Jiageng Mao, Boyi Li, Daniel Seita, Vitor Guizilini, Yue Wang:
PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding. CoRR abs/2501.16411 (2025) - [i55]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) - [i54]Cameron Smith, Basile Van Hoorick, Vitor Guizilini, Yue Wang:
SIRE: SE(3) Intrinsic Rigidity Embeddings. CoRR abs/2503.07739 (2025) - [i53]Shun Iwase, Muhammad Zubair Irshad, Katherine Liu, Vitor Guizilini, Robert Lee, Takuya Ikeda, Ayako Amma, Koichi Nishiwaki, Kris Kitani, Rares Ambrus, Sergey Zakharov:
ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping. CoRR abs/2504.10857 (2025) - [i52]Jiahao Li, Haochen Wang, Muhammad Zubair Irshad, Igor Vasiljevic, Matthew R. Walter, Vitor Campagnolo Guizilini, Greg Shakhnarovich:
FastMap: Revisiting Dense and Scalable Structure from Motion. CoRR abs/2505.04612 (2025) - [i51]Shengjie Lin, Jiading Fang, Muhammad Zubair Irshad, Vitor Campagnolo Guizilini, Rares Andrei Ambrus, Greg Shakhnarovich, Matthew R. Walter:
SplArt: Articulation Estimation and Part-Level Reconstruction with 3D Gaussian Splatting. CoRR abs/2506.03594 (2025) - [i50]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, 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, Jean Mercat, Patrick Tree Miller, Paul Mitiguy, Tony Khuong Nguyen, Jeremy Nimmer, Yuki Noguchi, Reko Ong, Aykut Özgün Önol, Owen Pfannenstiehl, Richard Poyner, Leticia Priebe Mendes 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:
A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation. CoRR abs/2507.05331 (2025) - [i49]Siheng Zhao, Jiageng Mao, Wei Chow, Zeyu Shangguan, Tianheng Shi, Rong Xue, Yuxi Zheng, Yijia Weng, Yang You, Daniel Seita, Leonidas J. Guibas, Sergey Zakharov, Vitor Guizilini, Yue Wang:
Robot Learning from Any Images. CoRR abs/2509.22970 (2025) - [i48]Tianchong Jiang, Jingtian Ji, Xiangshan Tan, Jiading Fang, Anand Bhattad, Vitor Guizilini, Matthew R. Walter:
Do You Know Where Your Camera Is? View-Invariant Policy Learning with Camera Conditioning. CoRR abs/2510.02268 (2025) - [i47]Zhenyu Zhao, Hongyi Jing, Xiawei Liu, Jiageng Mao, Abha Jha, Hanwen Yang, Rong Xue, Sergey Zakharor, Vitor Guizilini, Yue Wang:
Humanoid Everyday: A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation. CoRR abs/2510.08807 (2025) - [i46]Jiageng Mao, Sicheng He, Hao-Ning Wu, Yang You, Shuyang Sun, Zhicheng Wang, Yanan Bao, Huizhong Chen, Leonidas J. Guibas, Vitor Guizilini, Howard Zhou, Yue Wang:
Robot Learning from a Physical World Model. CoRR abs/2511.07416 (2025) - [i45]Yu Zeng, Charles Ochoa, Mingyuan Zhou, Vishal M. Patel, Vitor Guizilini, Rowan McAllister:
NeuralRemaster: Phase-Preserving Diffusion for Structure-Aligned Generation. CoRR abs/2512.05106 (2025) - [i44]Junjie Ye, Rong Xue, Basile Van Hoorick, Pavel Tokmakov, Muhammad Zubair Irshad, Yue Wang, Vitor Guizilini:
AnchorDream: Repurposing Video Diffusion for Embodiment-Aware Robot Data Synthesis. CoRR abs/2512.11797 (2025) - 2024
- [c66]Stephen Tian, Blake Wulfe, Kyle Sargent, Katherine Liu, Sergey Zakharov, Vitor Campagnolo Guizilini, Jiajun Wu:
View-Invariant Policy Learning via Zero-Shot Novel View Synthesis. CoRL 2024: 1173-1193 - [c65]Haoxi Ran, Vitor Guizilini, Yue Wang:
Towards Realistic Scene Generation with LiDAR Diffusion Models. CVPR 2024: 14738-14748 - [c64]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 - [c63]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 - [c62]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 - [c61]Artem Lukoianov, Haitz Sáez de Ocáriz Borde, Kristjan H. Greenewald, Vitor Guizilini, Timur M. Bagautdinov, Vincent Sitzmann, Justin M. Solomon:
Score Distillation via Reparametrized DDIM. NeurIPS 2024 - [c60]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 - [c59]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 - [i43]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) - [i42]Haoxi Ran, Vitor Guizilini, Yue Wang:
Towards Realistic Scene Generation with LiDAR Diffusion Models. CoRR abs/2404.00815 (2024) - [i41]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) - [i40]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) - [i39]Artem Lukoianov, Haitz Sáez de Ocáriz Borde, Kristjan H. Greenewald, Vitor Campagnolo Guizilini, Timur M. Bagautdinov, Vincent Sitzmann, Justin Solomon:
Score Distillation via Reparametrized DDIM. CoRR abs/2405.15891 (2024) - [i38]Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Kazuhiro Shintani:
Self-Supervised Geometry-Guided Initialization for Robust Monocular Visual Odometry. CoRR abs/2406.00929 (2024) - [i37]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) - [i36]Stephen Tian, Blake Wulfe, Kyle Sargent, Katherine Liu, Sergey Zakharov, Vitor Guizilini, Jiajun Wu:
View-Invariant Policy Learning via Zero-Shot Novel View Synthesis. CoRR abs/2409.03685 (2024) - [i35]Vitor Guizilini, Pavel Tokmakov, Achal Dave, Rares Ambrus:
GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion. CoRR abs/2409.09896 (2024) - [i34]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) - [i33]Jiageng Mao, Siheng Zhao, Siqi Song, Tianheng Shi, Junjie Ye, Mingtong Zhang, Haoran Geng, Jitendra Malik, Vitor Guizilini, Yue Wang:
Learning from Massive Human Videos for Universal Humanoid Pose Control. CoRR abs/2412.14172 (2024) - 2023
- [c58]Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon:
Viewpoint Equivariance for Multi-View 3D Object Detection. CVPR 2023: 9213-9222 - [c57]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 - [c56]Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon:
Towards Zero-Shot Scale-Aware Monocular Depth Estimation. ICCV 2023: 9199-9209 - [c55]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 - [c54]Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon:
Depth Is All You Need for Monocular 3D Detection. ICRA 2023: 7024-7031 - [c53]Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Adrien Gaidon, Rares Ambrus:
Robust Self-Supervised Extrinsic Self-Calibration. IROS 2023: 1932-1939 - [i32]Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon:
Viewpoint Equivariance for Multi-View 3D Object Detection. CoRR abs/2303.14548 (2023) - [i31]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) - [i30]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) - [i29]Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon:
Towards Zero-Shot Scale-Aware Monocular Depth Estimation. CoRR abs/2306.17253 (2023) - [i28]Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Adrien Gaidon, Rares Ambrus:
Robust Self-Supervised Extrinsic Self-Calibration. CoRR abs/2308.02153 (2023) - [i27]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) - 2022
- [j9]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) - [j8]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) - [c52]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 - [c51]Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon:
Multi-Frame Self-Supervised Depth with Transformers. CVPR 2022: 160-170 - [c50]Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rare Ambru, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon:
Depth Field Networks For Generalizable Multi-view Scene Representation. ECCV (32) 2022: 245-262 - [c49]Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon:
Photo-realistic Neural Domain Randomization. ECCV (25) 2022: 310-327 - [c48]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 - [c47]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 - [i26]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) - [i25]Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon:
Multi-Frame Self-Supervised Depth with Transformers. CoRR abs/2204.07616 (2022) - [i24]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) - [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]Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon:
Depth Is All You Need for Monocular 3D Detection. CoRR abs/2210.02493 (2022) - [i21]Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon:
Photo-realistic Neural Domain Randomization. CoRR abs/2210.12682 (2022) - 2021
- [c46]Yue Wang, Vitor Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, Justin Solomon:
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries. CoRL 2021: 180-191 - [c45]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 - [c44]Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon:
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. CVPR 2021: 11078-11088 - [c43]Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon:
Is Pseudo-Lidar needed for Monocular 3D Object detection? ICCV 2021: 3122-3132 - [c42]Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon:
Geometric Unsupervised Domain Adaptation for Semantic Segmentation. ICCV 2021: 8517-8527 - [c41]Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin M. Solomon:
MarioNette: Self-Supervised Sprite Learning. NeurIPS 2021: 5494-5505 - [c40]Rares Ambrus, Vitor Guizilini, Naveen Kuppuswamy, Andrew Beaulieu, Adrien Gaidon, Alex Alspach:
Monocular Depth Estimation for Soft Visuotactile Sensors. RoboSoft 2021: 643-649 - [i20]Rares Ambrus, Vitor Guizilini, Naveen Kuppuswamy, Andrew Beaulieu, Adrien Gaidon, Alex Alspach:
Monocular Depth Estimation for Soft Visuotactile Sensors. CoRR abs/2101.01677 (2021) - [i19]Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon:
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. CoRR abs/2103.16690 (2021) - [i18]Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon:
Geometric Unsupervised Domain Adaptation for Semantic Segmentation. CoRR abs/2103.16694 (2021) - [i17]Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon:
Full Surround Monodepth from Multiple Cameras. CoRR abs/2104.00152 (2021) - [i16]Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin Solomon:
MarioNette: Self-Supervised Sprite Learning. CoRR abs/2104.14553 (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]Yue Wang, Vitor Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, Justin Solomon:
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries. CoRR abs/2110.06922 (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
- [c39]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 - [c38]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 - [c37]Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Allan Raventos, Adrien Gaidon:
3D Packing for Self-Supervised Monocular Depth Estimation. CVPR 2020: 2482-2491 - [c36]Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon:
Real-Time Panoptic Segmentation From Dense Detections. CVPR 2020: 8520-8529 - [c35]Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon:
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. ICLR 2020 - [c34]Jiexiong Tang, Hanme Kim, Vitor Guizilini, Sudeep Pillai, Rares Ambrus:
Neural Outlier Rejection for Self-Supervised Keypoint Learning. ICLR 2020 - [c33]Amanda Spolti, Vitor Campanholo Guizilini, Caio C. T. Mendes, Matheus D. Croce, André R. de Geus, Henrique Candido de Oliveira, André R. Backes, Jefferson R. Souza:
Application of U-Net and Auto-Encoder to the Road/Non-road Classification of Aerial Imagery in Urban Environments. VISIGRAPP (4: VISAPP) 2020: 607-614 - [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)
2010 – 2019
- 2019
- [j7]Kelen Cristiane Teixeira Vivaldini, Thiago H. Martinelli, Vitor Campanholo Guizilini, Jefferson R. Souza, Matheus Della Croce Oliveira, Fabio T. Ramos, Denis F. Wolf:
UAV route planning for active disease classification. Auton. Robots 43(5): 1137-1153 (2019) - [j6]Vitor Guizilini, Fabio Ramos:
Variational Hilbert regression for terrain modeling and trajectory optimization. Int. J. Robotics Res. 38(12-13) (2019) - [c32]Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon:
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. CoRL 2019: 503-512 - [c31]Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon:
Two Stream Networks for Self-Supervised Ego-Motion Estimation. CoRL 2019: 1052-1061 - [c30]Alexandre J. Oliveira, Gleice A. de Assis, Elaine R. Faria, Jefferson R. Souza, Kelen Cristiane Teixeira Vivaldini, Vitor Guizilini, Fabio Ramos, Caio César Teodoro Mendes, Denis F. Wolf:
Analysis of nematodes in coffee crops at different altitudes using aerial images. EUSIPCO 2019: 1-5 - [c29]Nícolas dos Santos Rosa, Vitor Guizilini, Valdir Grassi Jr.:
Sparse-to-Continuous: Enhancing Monocular Depth Estimation using Occupancy Maps. ICAR 2019: 793-800 - [c28]Vitor Guizilini, Ransalu Senanayake, Fabio Ramos:
Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environments. ICRA 2019: 4091-4097 - [c27]Alexandre J. Oliveira, Gleice A. de Assis, Vitor Guizilini, Elaine R. Faria, Jefferson R. Souza:
Segmenting and Detecting Nematode in Coffee Crops Using Aerial Images. ICVS 2019: 274-283 - [i10]Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Adrien Gaidon:
PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation. CoRR abs/1905.02693 (2019) - [i9]Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon:
Two Stream Networks for Self-Supervised Ego-Motion Estimation. CoRR abs/1910.01764 (2019) - [i8]Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon:
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. CoRR abs/1910.01765 (2019) - [i7]Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon:
Real-Time Panoptic Segmentation from Dense Detections. CoRR abs/1912.01202 (2019) - [i6]Vitor Guizilini, Ransalu Senanayake, Fabio Ramos:
Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environment. CoRR abs/1912.02149 (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
- [j5]Vitor Guizilini, Fabio Ramos:
Towards real-time 3D continuous occupancy mapping using Hilbert maps. Int. J. Robotics Res. 37(6): 566-584 (2018) - [j4]Vitor Guizilini, Fabio Ramos:
Learning to reconstruct 3D structures for occupancy mapping from depth and color information. Int. J. Robotics Res. 37(13-14) (2018) - [j3]Henrique Candido de Oliveira, Vitor Campanholo Guizilini, Israel P. Nunes, Jefferson R. Souza:
Failure Detection in Row Crops From UAV Images Using Morphological Operators. IEEE Geosci. Remote. Sens. Lett. 15(7): 991-995 (2018) - [c26]Vitor Guizilini, Fabio Ramos:
Iterative Continuous Convolution for 3D Template Matching and Global Localization. AAAI 2018: 6493-6500 - [c25]Daniel Tozadore, Caetano Mazzoni Ranieri, Guilherme Nardari, Vitor Guizilini, Roseli A. F. Romero:
Effects of Emotion Grouping for Recognition in Human-Robot Interactions. BRACIS 2018: 438-443 - [c24]Vitor Guizilini, Fabio Ramos:
Fast 3D Modeling with Approximated Convolutional Kernels. CoRL 2018: 190-199 - [c23]Vitor Guizilini, Fabio Ramos:
Unpaired Learning of Dense Visual Depth Estimators for Urban Environments. CoRL 2018: 200-212 - [c22]Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.:
Learning to Race Through Coordinate Descent Bayesian Optimisation. ICRA 2018: 6431-6438 - [c21]Guilherme V. Nardari, Roseli A. F. Romero, Vitor Campanholo Guizilini, Willy E. C. Mareco, Débora Marcondes Bastos Pereira Milori, Paulino Ribeiro Villas Boas, Igor Araujo Dias Santos:
Crop Anomaly Identification with Color Filters and Convolutional Neural Networks. LARS/SBR/WRE 2018: 363-369 - [i3]Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.:
Learning to Race through Coordinate Descent Bayesian Optimisation. CoRR abs/1802.06179 (2018) - [i2]Nícolas dos Santos Rosa, Vitor Guizilini, Valdir Grassi Jr.:
Sparse-to-Continuous: Enhancing Monocular Depth Estimation using Occupancy Maps. CoRR abs/1809.09061 (2018) - 2017
- [c20]Vitor Campanholo Guizilini, Fabio Tozeto Ramos:
Unsupervised Feature Learning for 3D Scene Reconstruction with Occupancy Maps. AAAI 2017: 3827-3833 - [c19]Roberto S. Inoue, Vitor Guizilini, Marco H. Terra, Fabio Ramos:
Markovian jump linear systems-based filtering for visual and GPS aided inertial navigation system. IROS 2017: 4083-4089 - [c18]Vitor Campanholo Guizilini, Fabio Tozeto Ramos:
Variational Hilbert Regression with Applications to Terrain Modeling. ISRR 2017: 421-436 - [c17]Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos:
Bayesian Optimisation for Safe Navigation Under Localisation Uncertainty. ISRR 2017: 489-504 - [c16]Gabriel L. A. Carrijo, Danilo E. Oliveira, Gleice A. de Assis, Murillo G. Carneiro, Vitor Campanholo Guizilini, Jefferson R. Souza:
Automatic detection of fruits in coffee crops from aerial images. LARS/SBR 2017: 1-6 - [c15]Vitor Guizilini, Daniel Sales, Miguel Lahoud, Lúcio André de Castro Jorge:
Embedded mosaic generation using aerial images. LARS/SBR 2017: 1-6 - [c14]Vitor Guizilini, Fabio Ramos:
Learning to Reconstruct 3D Structures for Occupancy Mapping. Robotics: Science and Systems 2017 - [i1]Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos:
Bayesian Optimisation for Safe Navigation under Localisation Uncertainty. CoRR abs/1709.02169 (2017) - 2016
- [c13]Kelen Cristiane Teixeira Vivaldini, Vitor Campanholo Guizilini, Matheus Della Croce Oliveira, Thiago H. Martinelli, Denis Fernando Wolf, Fabio Tozeto Ramos:
Route planning for active classification with UAVs. ICRA 2016: 2563-2568 - [c12]Vitor Guizilini, Fabio Ramos:
Large-scale 3D scene reconstruction with Hilbert Maps. IROS 2016: 3247-3254 - [c11]Fernando Henrique Morais Da Rocha, Valdir Grassi Jr., Vitor Campanholo Guizilini, Fabio Ramos:
Model Predictive Control of a Heavy-Duty Truck Based on Gaussian Process. LARS/SBR 2016: 97-102 - [c10]Gabriel Vasconcelos, Gabriel L. A. Carrijo, Rodrigo Sanches Miani, Jefferson R. Souza, Vitor Guizilini:
The Impact of DoS Attacks on the AR.Drone 2.0. LARS/SBR 2016: 127-132 - 2015
- [j2]Vitor Campanholo Guizilini, Fabio Ramos:
Online self-supervised learning for dynamic object segmentation. Int. J. Robotics Res. 34(4-5): 559-581 (2015) - [c9]Vitor Campanholo Guizilini, Fabio Tozeto Ramos:
A Nonparametric Online Model for Air Quality Prediction. AAAI 2015: 651-657 - [c8]Jefferson R. Souza, Caio César Teodoro Mendes, Vitor Campanholo Guizilini, Kelen Cristiane Teixeira Vivaldini, Adimara Colturato, Fabio Tozeto Ramos, Denis Fernando Wolf:
Automatic detection of Ceratocystis wilt in Eucalyptus crops from aerial images. ICRA 2015: 3443-3448 - 2014
- [b1]Vitor Campanholo Guizilini:
Non-Parametric Learning for Monocular Visual Odometry. University of Sydney, Australia, 2014 - [c7]Kai Zhan, Vitor Guizilini, Fabio Ramos:
Dense motion segmentation for first-person activity recognition. ICARCV 2014: 123-128 - [c6]Alex Bewley, Vitor Campanholo Guizilini, Fabio Tozeto Ramos, Ben Upcroft:
Online self-supervised multi-instance segmentation of dynamic objects. ICRA 2014: 1296-1303 - 2013
- [j1]Vitor Guizilini, Fabio Ramos:
Semi-parametric learning for visual odometry. Int. J. Robotics Res. 32(5): 526-546 (2013) - [c5]Vitor Guizilini, Fabio Ramos:
Online self-supervised segmentation of dynamic objects. ICRA 2013: 4720-4727 - 2012
- [c4]Vitor Guizilini, Fabio Ramos:
Semi-parametric models for visual odometry. ICRA 2012: 3482-3489 - 2011
- [c3]Vitor Guizilini, Fabio Ramos:
Visual odometry learning for unmanned aerial vehicles. ICRA 2011: 6213-6220 - 2010
- [c2]Vitor Campanholo Guizilini, Fabio Tozeto Ramos:
Multi-task Learning of Visual Odometry Estimators. ISER 2010: 727-742
2000 – 2009
- 2008
- [c1]Vitor Campanholo Guizilini, Jun Okamoto:
Solving the Online SLAM Problem with an Omnidirectional Vision System. ICONIP (1) 2008: 1110-1117
Coauthor Index
Rares Ambrus
aka: Rares Andrei Ambrus
aka: Rares Andrei Ambrus
[c74] [c73] [c72] [c71] [i55] [i53] [i51] [i50] [c64] [c63] [c62] [c60] [c59] [i43] [i41] [i40] [i37] [i35] [i34] [c58] [c57] [c56] [c55] [c53] [i32] [i31] [i30] [i29] [i28] [i27] [j9] [j8] [c52] [c51] [c49] [c48] [c47] [i26] [i25] [i24] [i23] [i21] [c45] [c44] [c43] [c42] [c40] [i20] [i19] [i18] [i17] [i15] [i13] [c39] [c38] [c37] [c35] [c34] [i12] [i11] [c32] [c31] [i10] [i9] [i8] [i5] [i4]
[c64] [c63] [i43] [i41] [c58] [c57] [c56] [c55] [c54] [c53] [i32] [i31] [i30] [i29] [i28] [i27] [j9] [j8] [c52] [c51] [c50] [c49] [c47] [i26] [i25] [i23] [i22] [i21] [c45] [c44] [c43] [c42] [c40] [i20] [i19] [i18] [i17] [i15] [i13] [c39] [c38] [c37] [c36] [c35] [i12] [i11] [c32] [c31] [i10] [i9] [i8] [i7] [i5]
Gregory Shakhnarovich
aka: Greg Shakhnarovich
aka: Greg Shakhnarovich
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