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2020 – today
- 2024
[j13]Pierluigi Zama Ramirez
, Alex Costanzino, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Booster: A Benchmark for Depth From Images of Specular and Transparent Surfaces. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 85-102 (2024)- [c41]Luca Bartolomei, Matteo Poggi, Andrea Conti, Fabio Tosi, Stefano Mattoccia:
Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization. 3DV 2024: 1360-1370 - [c40]Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, GuangYuan Zhou, ZhengXin Li, Qiang Rao, YiPing Bao, Xiao Liu, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li, Qing Mao, Jiang Wu, Yu Zhu, Jinqiu Sun, Yanning Zhang, Suraj Patni, Aradhye Agarwal, Chetan Arora, Pihai Sun, Kui Jiang, Gang Wu, Jian Liu, Xianming Liu, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski, James H. Elder:
The Third Monocular Depth Estimation Challenge. CVPR Workshops 2024: 1-14 - [c39]Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Yangyang Zhang, Cailin Wu, Zhuangda He, Shuangshuang Yin, Jiaxu Dong, Yangchenxu Liu, Hao Jiang, Jun Shi, Yong A, Yixiang Jin, Dingzhe Li, Bingxin Ke, Anton Obukhov, Tinafu Wang, Nando Metzger, Shengyu Huang, Konrad Schindler, Yachuan Huang, Jiaqi Li, Junrui Zhang, Yiran Wang, Zihao Huang, Tianqi Liu, Zhiguo Cao, Pengzhi Li, Jui-Lin Wang, Wenjie Zhu, Hui Geng, Yuxin Zhang, Long Lan, Kele Xu, Tao Sun, Qisheng Xu, Sourav Saini, Aashray Gupta, Sahaj K. Mistry, Aryan Shukla, Vinit Jakhetiya, Sunil Prasad Jaiswal, Yuejin Sun, Zhuofan Zheng, Yi Ning, Jen-Hao Cheng, Hou-I Liu, Hsiang-Wei Huang, Cheng-Yen Yang, Zhongyu Jiang, Yi-Hao Peng, Aishi Huang, Jenq-Neng Hwang:
NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces. CVPR Workshops 2024: 6499-6512 - [c38]Matteo Poggi, Fabio Tosi:
Federated Online Adaptation for Deep Stereo. CVPR 2024: 20165-20175 - [i38]Fabio Tosi, Youmin Zhang, Ziren Gong, Erik Sandström, Stefano Mattoccia, Martin R. Oswald, Matteo Poggi:
How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey. CoRR abs/2402.13255 (2024) - [i37]Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, GuangYuan Zhou, ZhengXin Li, Qiang Rao, YiPing Bao, Xiao Liu, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li, Qing Mao, Jiang Wu, Yu Zhu, Jinqiu Sun, Yanning Zhang, Suraj Patni, Aradhye Agarwal, Chetan Arora, Pihai Sun, Kui Jiang, Gang Wu, Jian Liu, Xianming Liu, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski, James H. Elder:
The Third Monocular Depth Estimation Challenge. CoRR abs/2404.16831 (2024) - [i36]Matteo Poggi, Fabio Tosi:
Federated Online Adaptation for Deep Stereo. CoRR abs/2405.14873 (2024) - [i35]Luca Bartolomei, Matteo Poggi, Fabio Tosi, Andrea Conti, Stefano Mattoccia:
Stereo-Depth Fusion through Virtual Pattern Projection. CoRR abs/2406.04345 (2024) - [i34]Fabio Tosi, Luca Bartolomei, Matteo Poggi:
A Survey on Deep Stereo Matching in the Twenties. CoRR abs/2407.07816 (2024) - [i33]Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi:
Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions. CoRR abs/2407.16698 (2024) - [i32]Sadra Safadoust, Fabio Tosi, Fatma Güney, Matteo Poggi:
Self-Evolving Depth-Supervised 3D Gaussian Splatting from Rendered Stereo Pairs. CoRR abs/2409.07456 (2024) - 2023
- [j12]Xin Qiao, Chenyang Ge, Youmin Zhang, Yanhui Zhou, Fabio Tosi, Matteo Poggi, Stefano Mattoccia:
Depth super-resolution from explicit and implicit high-frequency features. Comput. Vis. Image Underst. 237: 103841 (2023) - [j11]Xin Qiao, Chenyang Ge, Chaoqiang Zhao, Fabio Tosi, Matteo Poggi, Stefano Mattoccia:
Self-supervised depth super-resolution with contrastive multiview pre-training. Neural Networks 168: 223-236 (2023) - [c37]Rizhao Fan, Fabio Tosi, Matteo Poggi, Stefano Mattoccia:
Lightweight Self-Supervised Depth Estimation with few-beams LiDAR Data. BMVC 2023: 356-357 - [c36]Huan Li, Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
On-Site Adaptation for Monocular Depth Estimation with a Static Camera. BMVC 2023: 901-907 - [c35]Fabio Tosi, Alessio Tonioni, Daniele De Gregorio, Matteo Poggi:
NeRF-Supervised Deep Stereo. CVPR 2023: 855-866 - [c34]Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Jun Shi, Dafeng Zhang, Yong A, Yixiang Jin, Dingzhe Li, Chao Li, Zhiwen Liu, Qi Zhang, Yixing Wang, Shi Yin:
NTIRE 2023 Challenge on HR Depth from Images of Specular and Transparent Surfaces. CVPR Workshops 2023: 1384-1395 - [c33]Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Ali Anwar, Hao Chen, Xiaozhi Chen, Kai Cheng, Yuchao Dai, Huynh Thai Hoa, Sadat Hossain, Jianmian Huang, Mohan Jing, Bo Li, Chao Li, Baojun Li, Zhiwen Liu, Stefano Mattoccia, Siegfried Mercelis, Myungwoo Nam, Matteo Poggi, Xiaohua Qi, Jiahui Ren, Yang Tang, Fabio Tosi, Linh Trinh, S. M. Nadim Uddin, Khan Muhammad Umair, Kaixuan Wang, Yufei Wang, Yixing Wang, Mochu Xiang, Guangkai Xu, Wei Yin, Jun Yu, Qi Zhang, Chaoqiang Zhao:
The Second Monocular Depth Estimation Challenge. CVPR Workshops 2023: 3064-3076 - [c32]Youmin Zhang, Fabio Tosi, Stefano Mattoccia, Matteo Poggi:
GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction. ICCV 2023: 3704-3714 - [c31]Alex Costanzino, Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano:
Learning Depth Estimation for Transparent and Mirror Surfaces. ICCV 2023: 9210-9221 - [c30]Chaoqiang Zhao, Matteo Poggi, Fabio Tosi, Lei Zhou, Qiyu Sun, Yang Tang, Stefano Mattoccia:
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes. ICCV 2023: 16163-16174 - [c29]Luca Bartolomei, Matteo Poggi, Fabio Tosi, Andrea Conti, Stefano Mattoccia:
Active Stereo Without Pattern Projector. ICCV 2023: 18424-18436 - [c28]Jaime Spencer, C. Stella Qian, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Heng Cong, Stefano Mattoccia, Matteo Poggi, Zeeshan Khan Suri, Yang Tang, Fabio Tosi, Hao Wang, Youmin Zhang, Yusheng Zhang, Chaoqiang Zhao:
The Monocular Depth Estimation Challenge. WACV (Workshops) 2023: 623-632 - [i31]Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Booster: a Benchmark for Depth from Images of Specular and Transparent Surfaces. CoRR abs/2301.08245 (2023) - [i30]Xin Qiao, Chenyang Ge, Youmin Zhang, Yanhui Zhou, Fabio Tosi, Matteo Poggi, Stefano Mattoccia:
Depth Super-Resolution from Explicit and Implicit High-Frequency Features. CoRR abs/2303.09307 (2023) - [i29]Fabio Tosi, Alessio Tonioni, Daniele De Gregorio, Matteo Poggi:
NeRF-Supervised Deep Stereo. CoRR abs/2303.17603 (2023) - [i28]Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Ali Anwar, Hao Chen, Xiaozhi Chen, Kai Cheng, Yuchao Dai, Huynh Thai Hoa, Sadat Hossain, Jianmian Huang, Mohan Jing, Bo Li, Chao Li, Baojun Li, Zhiwen Liu, Stefano Mattoccia, Siegfried Mercelis, Myungwoo Nam, Matteo Poggi, Xiaohua Qi, Jiahui Ren, Yang Tang, Fabio Tosi, Linh Trinh, S. M. Nadim Uddin, Khan Muhammad Umair, Kaixuan Wang, Yufei Wang, Yixing Wang, Mochu Xiang, Guangkai Xu, Wei Yin, Jun Yu, Qi Zhang, Chaoqiang Zhao:
The Second Monocular Depth Estimation Challenge. CoRR abs/2304.07051 (2023) - [i27]Alex Costanzino, Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano:
Learning Depth Estimation for Transparent and Mirror Surfaces. CoRR abs/2307.15052 (2023) - [i26]Youmin Zhang, Fabio Tosi, Stefano Mattoccia, Matteo Poggi:
GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction. CoRR abs/2309.02436 (2023) - [i25]Luca Bartolomei, Matteo Poggi, Fabio Tosi, Andrea Conti, Stefano Mattoccia:
Active Stereo Without Pattern Projector. CoRR abs/2309.12315 (2023) - [i24]Chaoqiang Zhao, Matteo Poggi, Fabio Tosi, Lei Zhou, Qiyu Sun, Yang Tang, Stefano Mattoccia:
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes. CoRR abs/2309.16019 (2023) - [i23]Luca Bartolomei, Matteo Poggi, Andrea Conti, Fabio Tosi, Stefano Mattoccia:
Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization. CoRR abs/2312.09254 (2023) - 2022
- [j10]Antonio Cipolletta, Valentino Peluso, Andrea Calimera, Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia:
Energy-Quality Scalable Monocular Depth Estimation on Low-Power CPUs. IEEE Internet Things J. 9(1): 25-36 (2022) - [j9]Matteo Poggi, Alessio Tonioni, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano:
Continual Adaptation for Deep Stereo. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4713-4729 (2022) - [j8]Matteo Poggi, Seungryong Kim, Fabio Tosi, Sunok Kim, Filippo Aleotti, Dongbo Min, Kwanghoon Sohn, Stefano Mattoccia:
On the Confidence of Stereo Matching in a Deep-Learning Era: A Quantitative Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5293-5313 (2022) - [j7]Matteo Poggi, Fabio Tosi, Konstantinos Batsos, Philippos Mordohai, Stefano Mattoccia:
On the Synergies Between Machine Learning and Binocular Stereo for Depth Estimation From Images: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5314-5334 (2022) - [j6]Valentino Peluso, Antonio Cipolletta, Andrea Calimera, Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia:
Monocular Depth Perception on Microcontrollers for Edge Applications. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1524-1536 (2022) - [j5]Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia:
Real-Time Self-Supervised Monocular Depth Estimation Without GPU. IEEE Trans. Intell. Transp. Syst. 23(10): 17342-17353 (2022) - [c27]Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Cross-Spectral Neural Radiance Fields. 3DV 2022: 606-616 - [c26]Chaoqiang Zhao, Youmin Zhang, Matteo Poggi, Fabio Tosi, Xianda Guo, Zheng Zhu, Guan Huang, Yang Tang, Stefano Mattoccia:
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer. 3DV 2022: 668-678 - [c25]Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation. CVPR 2022: 15937-15947 - [c24]Pierluigi Zama Ramirez, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Open Challenges in Deep Stereo: the Booster Dataset. CVPR 2022: 21136-21146 - [i22]Pierluigi Zama Ramirez, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Open Challenges in Deep Stereo: the Booster Dataset. CoRR abs/2206.04671 (2022) - [i21]Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation. CoRR abs/2206.07047 (2022) - [i20]Chaoqiang Zhao, Youmin Zhang, Matteo Poggi, Fabio Tosi, Xianda Guo, Zheng Zhu, Guan Huang, Yang Tang, Stefano Mattoccia:
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer. CoRR abs/2208.03543 (2022) - [i19]Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Cross-Spectral Neural Radiance Fields. CoRR abs/2209.00648 (2022) - [i18]Jaime Spencer, C. Stella Qian, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Heng Cong, Stefano Mattoccia, Matteo Poggi, Zeeshan Khan Suri, Yang Tang, Fabio Tosi, Hao Wang, Youmin Zhang, Yusheng Zhang, Chaoqiang Zhao:
The Monocular Depth Estimation Challenge. CoRR abs/2211.12174 (2022) - 2021
- [b1]Fabio Tosi:
Deep-learning for 3D reconstruction. University of Bologna, Italy, 2021 - [j4]Filippo Aleotti, Giulio Zaccaroni, Luca Bartolomei, Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
Real-Time Single Image Depth Perception in the Wild with Handheld Devices. Sensors 21(1): 15 (2021) - [c23]Filippo Aleotti, Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Neural Disparity Refinement for Arbitrary Resolution Stereo. 3DV 2021: 207-217 - [c22]Fabio Tosi, Yiyi Liao, Carolin Schmitt, Andreas Geiger:
SMD-Nets: Stereo Mixture Density Networks. CVPR 2021: 8942-8952 - [i17]Matteo Poggi, Seungryong Kim, Fabio Tosi, Sunok Kim, Filippo Aleotti, Dongbo Min, Kwanghoon Sohn, Stefano Mattoccia:
On the confidence of stereo matching in a deep-learning era: a quantitative evaluation. CoRR abs/2101.00431 (2021) - [i16]Fabio Tosi, Yiyi Liao, Carolin Schmitt, Andreas Geiger:
SMD-Nets: Stereo Mixture Density Networks. CoRR abs/2104.03866 (2021) - [i15]Filippo Aleotti, Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Neural Disparity Refinement for Arbitrary Resolution Stereo. CoRR abs/2110.15367 (2021) - 2020
- [j3]Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
Learning a confidence measure in the disparity domain from O(1) features. Comput. Vis. Image Underst. 193: 102905 (2020) - [j2]Fabio Tosi, Matteo Rocca, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia, Flavia Tauro, Elena Toth, Salvatore Grimaldi:
Enabling Image-Based Streamflow Monitoring at the Edge. Remote. Sens. 12(12): 2047 (2020) - [c21]Filippo Aleotti, Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
Learning End-to-End Scene Flow by Distilling Single Tasks Knowledge. AAAI 2020: 10435-10442 - [c20]Valentino Peluso, Antonio Cipolletta, Andrea Calimera, Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia:
Enabling monocular depth perception at the very edge. CVPR Workshops 2020: 1581-1583 - [c19]Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia:
On the Uncertainty of Self-Supervised Monocular Depth Estimation. CVPR 2020: 3224-3234 - [c18]Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Luigi Di Stefano, Stefano Mattoccia:
Distilled Semantics for Comprehensive Scene Understanding from Videos. CVPR 2020: 4653-4664 - [c17]Filippo Aleotti, Fabio Tosi, Li Zhang, Matteo Poggi, Stefano Mattoccia:
Reversing the Cycle: Self-supervised Deep Stereo Through Enhanced Monocular Distillation. ECCV (11) 2020: 614-632 - [c16]Matteo Poggi, Filippo Aleotti, Fabio Tosi, Giulio Zaccaroni, Stefano Mattoccia:
Self-adapting Confidence Estimation for Stereo. ECCV (24) 2020: 715-733 - [c15]Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia:
Leveraging a weakly adversarial paradigm for joint learning of disparity and confidence estimation. ICPR 2020: 270-277 - [i14]Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Luigi Di Stefano, Stefano Mattoccia:
Distilled Semantics for Comprehensive Scene Understanding from Videos. CoRR abs/2003.14030 (2020) - [i13]Matteo Poggi, Fabio Tosi, Konstantinos Batsos, Philippos Mordohai, Stefano Mattoccia:
On the Synergies between Machine Learning and Stereo: a Survey. CoRR abs/2004.08566 (2020) - [i12]Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia:
On the uncertainty of self-supervised monocular depth estimation. CoRR abs/2005.06209 (2020) - [i11]Filippo Aleotti, Giulio Zaccaroni, Luca Bartolomei, Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
Real-time single image depth perception in the wild with handheld devices. CoRR abs/2006.05724 (2020) - [i10]Matteo Poggi, Alessio Tonioni, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano:
Continual Adaptation for Deep Stereo. CoRR abs/2007.05233 (2020) - [i9]Matteo Poggi, Filippo Aleotti, Fabio Tosi, Giulio Zaccaroni, Stefano Mattoccia:
Self-adapting confidence estimation for stereo. CoRR abs/2008.06447 (2020) - [i8]Filippo Aleotti, Fabio Tosi, Li Zhang, Matteo Poggi, Stefano Mattoccia:
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation. CoRR abs/2008.07130 (2020)
2010 – 2019
- 2019
- [c14]Fabio Tosi, Matteo Poggi, Stefano Mattoccia:
Leveraging Confident Points for Accurate Depth Refinement on Embedded Systems. CVPR Workshops 2019: 158-167 - [c13]Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano:
Real-Time Self-Adaptive Deep Stereo. CVPR 2019: 195-204 - [c12]Matteo Poggi, Davide Pallotti, Fabio Tosi, Stefano Mattoccia:
Guided Stereo Matching. CVPR 2019: 979-988 - [c11]Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia:
Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge. CVPR 2019: 9799-9809 - [c10]Valentino Peluso, Antonio Cipolletta, Andrea Calimera, Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms. DATE 2019: 1703-1708 - [i7]Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia:
Learning monocular depth estimation infusing traditional stereo knowledge. CoRR abs/1904.04144 (2019) - [i6]Matteo Poggi, Davide Pallotti, Fabio Tosi, Stefano Mattoccia:
Guided Stereo Matching. CoRR abs/1905.10107 (2019) - [i5]Filippo Aleotti, Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
Learning End-To-End Scene Flow by Distilling Single Tasks Knowledge. CoRR abs/1911.10090 (2019) - 2018
- [j1]Flavia Tauro, Fabio Tosi, Stefano Mattoccia, Elena Toth, Rodolfo Piscopia, Salvatore Grimaldi:
Optical Tracking Velocimetry (OTV): Leveraging Optical Flow and Trajectory-Based Filtering for Surface Streamflow Observations. Remote. Sens. 10(12): 2010 (2018) - [c9]Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions. 3DV 2018: 324-333 - [c8]Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano:
Geometry Meets Semantics for Semi-supervised Monocular Depth Estimation. ACCV (3) 2018: 298-313 - [c7]Fabio Tosi, Matteo Poggi, Antonio Benincasa, Stefano Mattoccia:
Beyond Local Reasoning for Stereo Confidence Estimation with Deep Learning. ECCV (6) 2018: 323-338 - [c6]Filippo Aleotti, Fabio Tosi, Matteo Poggi, Stefano Mattoccia:
Generative Adversarial Networks for Unsupervised Monocular Depth Prediction. ECCV Workshops (1) 2018: 337-354 - [c5]Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia:
Towards Real-Time Unsupervised Monocular Depth Estimation on CPU. IROS 2018: 5848-5854 - [i4]Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia:
Towards real-time unsupervised monocular depth estimation on CPU. CoRR abs/1806.11430 (2018) - [i3]Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
Learning monocular depth estimation with unsupervised trinocular assumptions. CoRR abs/1808.01606 (2018) - [i2]Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano:
Geometry meets semantics for semi-supervised monocular depth estimation. CoRR abs/1810.04093 (2018) - [i1]Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano:
Real-time self-adaptive deep stereo. CoRR abs/1810.05424 (2018) - 2017
- [c4]Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Alessio Tonioni, Luigi Di Stefano:
Learning confidence measures in the wild. BMVC 2017 - [c3]Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
Even More Confident Predictions with Deep Machine-Learning. CVPR Workshops 2017: 393-401 - [c2]Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
Quantitative Evaluation of Confidence Measures in a Machine Learning World. ICCV 2017: 5238-5247 - [c1]Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
Efficient Confidence Measures for Embedded Stereo. ICIAP (1) 2017: 483-494
Coauthor Index
[j13] [c41] [c39] [i38] [i35] [j12] [j11] [c37] [c36] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [i31] [i30] [i28] [i27] [i26] [i25] [i24] [i23] [j10] [j9] [j8] [j7] [j6] [j5] [c27] [c26] [c25] [c24] [i22] [i21] [i20] [i19] [i18] [j4] [c23] [i17] [i15] [j3] [j2] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [c14] [c13] [c12] [c11] [c10] [i7] [i6] [i5] [j1] [c9] [c8] [c7] [c6] [c5] [i4] [i3] [i2] [i1] [c4] [c3] [c2] [c1]
[j13] [c41] [c40] [c39] [c38] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [j12] [j11] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [j10] [j9] [j8] [j7] [j6] [j5] [c27] [c26] [c25] [c24] [i22] [i21] [i20] [i19] [i18] [j4] [c23] [i17] [i15] [j3] [j2] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [c14] [c13] [c12] [c11] [c10] [i7] [i6] [i5] [c9] [c8] [c7] [c6] [c5] [i4] [i3] [i2] [i1] [c4] [c3] [c2] [c1]
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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 2024-10-17 21:34 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
