default search action
Vitor Campagnolo Guizilini
Vitor Campanholo Guizilini – Vitor Guizilini
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
- [j10]Kenny A. Q. Caldas
, Roberto S. Inoue
Discrete-Time Markovian Jump Linear Robust Filtering for Visual and GPS Aided Magneto-Inertial Navigation. IEEE Access 13: 7590-7602 (2025) - [c67]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 - [i46]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) - [i45]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) - [i44]Cameron Smith, Basile Van Hoorick, Vitor Guizilini, Yue Wang:
SIRE: SE(3) Intrinsic Rigidity Embeddings. CoRR abs/2503.07739 (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
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
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
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
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
Learning Optical Flow, Depth, and Scene Flow Without Real-World Labels. IEEE Robotics Autom. Lett. 7(2): 3491-3498 (2022) - [j8]Vitor Guizilini
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
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
UAV route planning for active disease classification. Auton. Robots 43(5): 1137-1153 (2019) - [j6]Vitor Guizilini
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
Analysis of nematodes in coffee crops at different altitudes using aerial images. EUSIPCO 2019: 1-5 - [c29]Nícolas dos Santos Rosa
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
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
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
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
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
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
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
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
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
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
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
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
[i45] [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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-05-13 21:43 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: