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2020 – today
- 2024
[j31]Matteo Poggi, Federica Arrigoni
, Andrea Fusiello, Stefano Mattoccia, Adrien Bartoli, Torsten Sattler, Tomás Pajdla:
Guest Editorial: Special Issue on Traditional Computer Vision in the Age of Deep Learning. Int. J. Comput. Vis. 132(9): 4128-4130 (2024)- [j30]Xin Qiao, Matteo Poggi, Pengchao Deng, Hao Wei, Chenyang Ge, Stefano Mattoccia:
RGB Guided ToF Imaging System: A Survey of Deep Learning-Based Methods. Int. J. Comput. Vis. 132(11): 4954-4991 (2024) - [j29]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) - [j28]Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Neural Disparity Refinement. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8900-8917 (2024) - [c110]Andrea Conti, Matteo Poggi, Valerio Cambareri, Stefano Mattoccia:
Range-Agnostic Multi-View Depth Estimation with Keyframe Selection. 3DV 2024: 1350-1359 - [c109]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 - [c108]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 - [c107]Luca Bartolomei, Matteo Poggi, Andrea Conti, Stefano Mattoccia:
LiDAR-Event Stereo Fusion with Hallucinations. ECCV (6) 2024: 125-145 - [c106]Andrea Conti, Matteo Poggi, Valerio Cambareri, Stefano Mattoccia:
Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor. ECCV (61) 2024: 283-302 - [i48]Andrea Conti, Matteo Poggi, Valerio Cambareri, Stefano Mattoccia:
Range-Agnostic Multi-View Depth Estimation With Keyframe Selection. CoRR abs/2401.14401 (2024) - [i47]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) - [i46]Xin Qiao, Matteo Poggi, Pengchao Deng, Hao Wei, Chenyang Ge, Stefano Mattoccia:
RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methods. CoRR abs/2405.10357 (2024) - [i45]Luca Bartolomei, Matteo Poggi, Fabio Tosi, Andrea Conti, Stefano Mattoccia:
Stereo-Depth Fusion through Virtual Pattern Projection. CoRR abs/2406.04345 (2024) - [i44]Luca Bartolomei, Matteo Poggi, Andrea Conti, Stefano Mattoccia:
LiDAR-Event Stereo Fusion with Hallucinations. CoRR abs/2408.04633 (2024) - [i43]Andrea Conti, Matteo Poggi, Valerio Cambareri, Stefano Mattoccia:
Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor. CoRR abs/2409.08277 (2024) - 2023
- [j27]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) - [j26]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) - [j25]Xin Qiao, Chenyang Ge, Pengchao Deng, Hao Wei, Matteo Poggi, Stefano Mattoccia:
Depth Restoration in Under-Display Time-of-Flight Imaging. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5668-5683 (2023) - [c105]Rizhao Fan, Fabio Tosi, Matteo Poggi, Stefano Mattoccia:
Lightweight Self-Supervised Depth Estimation with few-beams LiDAR Data. BMVC 2023: 356-357 - [c104]Huan Li, Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
On-Site Adaptation for Monocular Depth Estimation with a Static Camera. BMVC 2023: 901-907 - [c103]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 - [c102]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 - [c101]Rizhao Fan, Matteo Poggi, Stefano Mattoccia:
Contrastive Learning for Depth Prediction. CVPR Workshops 2023: 3226-3237 - [c100]Youmin Zhang, Xianda Guo, Matteo Poggi, Zheng Zhu, Guan Huang, Stefano Mattoccia:
CompletionFormer: Depth Completion with Convolutions and Vision Transformers. CVPR 2023: 18527-18536 - [c99]Youmin Zhang, Fabio Tosi, Stefano Mattoccia, Matteo Poggi:
GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction. ICCV 2023: 3704-3714 - [c98]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 - [c97]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 - [c96]Luca Bartolomei, Matteo Poggi, Fabio Tosi, Andrea Conti, Stefano Mattoccia:
Active Stereo Without Pattern Projector. ICCV 2023: 18424-18436 - [c95]Youmin Zhang, Matteo Poggi, Stefano Mattoccia:
TemporalStereo: Efficient Spatial-Temporal Stereo Matching Network. IROS 2023: 9528-9535 - [c94]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 - [c93]Andrea Conti, Matteo Poggi, Stefano Mattoccia:
Sparsity Agnostic Depth Completion. WACV 2023: 5860-5869 - [i42]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) - [i41]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) - [i40]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) - [i39]Youmin Zhang, Xianda Guo, Matteo Poggi, Zheng Zhu, Guan Huang, Stefano Mattoccia:
CompletionFormer: Depth Completion with Convolutions and Vision Transformers. CoRR abs/2304.13030 (2023) - [i38]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) - [i37]Youmin Zhang, Fabio Tosi, Stefano Mattoccia, Matteo Poggi:
GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction. CoRR abs/2309.02436 (2023) - [i36]Luca Bartolomei, Matteo Poggi, Fabio Tosi, Andrea Conti, Stefano Mattoccia:
Active Stereo Without Pattern Projector. CoRR abs/2309.12315 (2023) - [i35]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) - [i34]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
- [j24]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) - [j23]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) - [j22]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) - [j21]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) - [j20]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) - [j19]Alessio Mingozzi, Andrea Conti, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia:
Monitoring Social Distancing With Single Image Depth Estimation. IEEE Trans. Emerg. Top. Comput. Intell. 6(6): 1290-1301 (2022) - [j18]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) - [c92]Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Cross-Spectral Neural Radiance Fields. 3DV 2022: 606-616 - [c91]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 - [c90]Rizhao Fan, Zhigen Li, Matteo Poggi, Stefano Mattoccia:
A Cascade Dense Connection Fusion Network for Depth Completion. BMVC 2022: 843 - [c89]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 - [c88]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 - [c87]Seungryong Kim, Matteo Poggi, Sunok Kim, Kwanghoon Sohn, Stefano Mattoccia:
Meta-confidence estimation for stereo matching. ICRA 2022: 10624-10631 - [c86]Andrea Conti, Matteo Poggi, Filippo Aleotti, Stefano Mattoccia:
Unsupervised confidence for LiDAR depth maps and applications. IROS 2022: 8352-8359 - [c85]Matteo Poggi, Andrea Conti, Stefano Mattoccia:
Multi-View Guided Multi-View Stereo. IROS 2022: 8391-8398 - [i33]Alessio Mingozzi, Andrea Conti, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia:
Monitoring social distancing with single image depth estimation. CoRR abs/2204.01693 (2022) - [i32]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) - [i31]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) - [i30]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) - [i29]Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Cross-Spectral Neural Radiance Fields. CoRR abs/2209.00648 (2022) - [i28]Andrea Conti, Matteo Poggi, Filippo Aleotti, Stefano Mattoccia:
Unsupervised confidence for LiDAR depth maps and applications. CoRR abs/2210.03118 (2022) - [i27]Matteo Poggi, Andrea Conti, Stefano Mattoccia:
Multi-View Guided Multi-View Stereo. CoRR abs/2210.11467 (2022) - [i26]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) - [i25]Youmin Zhang, Matteo Poggi, Stefano Mattoccia:
TemporalStereo: Efficient Spatial-Temporal Stereo Matching Network. CoRR abs/2211.13755 (2022) - [i24]Andrea Conti, Matteo Poggi, Stefano Mattoccia:
Sparsity Agnostic Depth Completion. CoRR abs/2212.00790 (2022) - 2021
- [j17]Daniele De Gregorio, Matteo Poggi, Pierluigi Zama Ramirez, Gianluca Palli, Stefano Mattoccia, Luigi Di Stefano:
Beyond the Baseline: 3D Reconstruction of Tiny Objects With Single Camera Stereo Robot. IEEE Access 9: 119755-119765 (2021) - [j16]Patrizia Tassinari, Marco Bovo, Stefano Benni, Simone Franzoni, Matteo Poggi, Ludovica Maria Eugenia Mammi, Stefano Mattoccia, Luigi Di Stefano, Filippo Bonora, Alberto Barbaresi, Enrica Santolini, Daniele Torreggiani:
A computer vision approach based on deep learning for the detection of dairy cows in free stall barn. Comput. Electron. Agric. 182: 106030 (2021) - [j15]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) - [c84]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 - [c83]Filippo Aleotti, Matteo Poggi, Stefano Mattoccia:
Learning Optical Flow From Still Images. CVPR 2021: 15201-15211 - [c82]Matteo Poggi, Filippo Aleotti, Stefano Mattoccia:
Sensor-Guided Optical Flow. ICCV 2021: 7888-7898 - [i23]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) - [i22]Filippo Aleotti, Matteo Poggi, Stefano Mattoccia:
Learning optical flow from still images. CoRR abs/2104.03965 (2021) - [i21]Matteo Poggi, Filippo Aleotti, Stefano Mattoccia:
Sensor-Guided Optical Flow. CoRR abs/2109.15321 (2021) - [i20]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
- [j14]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) - [j13]Alessio Tonioni, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano:
Unsupervised Domain Adaptation for Depth Prediction from Images. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2396-2409 (2020) - [j12]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) - [c81]Changjiang Cai, Matteo Poggi, Stefano Mattoccia, Philippos Mordohai:
Matching-space Stereo Networks for Cross-domain Generalization. 3DV 2020: 364-373 - [c80]Filippo Aleotti, Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
Learning End-to-End Scene Flow by Distilling Single Tasks Knowledge. AAAI 2020: 10435-10442 - [c79]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 - [c78]Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia:
On the Uncertainty of Self-Supervised Monocular Depth Estimation. CVPR 2020: 3224-3234 - [c77]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 - [c76]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 - [c75]Matteo Poggi, Filippo Aleotti, Fabio Tosi, Giulio Zaccaroni, Stefano Mattoccia:
Self-adapting Confidence Estimation for Stereo. ECCV (24) 2020: 715-733 - [c74]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 - [c73]Pier Luigi Dovesi, Matteo Poggi, Lorenzo Andraghetti, Miquel Martí, Hedvig Kjellström, Alessandro Pieropan, Stefano Mattoccia:
Real-Time Semantic Stereo Matching. ICRA 2020: 10780-10787 - [i19]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) - [i18]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) - [i17]Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia:
On the uncertainty of self-supervised monocular depth estimation. CoRR abs/2005.06209 (2020) - [i16]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) - [i15]Matteo Poggi, Alessio Tonioni, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano:
Continual Adaptation for Deep Stereo. CoRR abs/2007.05233 (2020) - [i14]Matteo Poggi, Filippo Aleotti, Fabio Tosi, Giulio Zaccaroni, Stefano Mattoccia:
Self-adapting confidence estimation for stereo. CoRR abs/2008.06447 (2020) - [i13]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) - [i12]Changjiang Cai, Matteo Poggi, Stefano Mattoccia, Philippos Mordohai:
Matching-space Stereo Networks for Cross-domain Generalization. CoRR abs/2010.07347 (2020)
2010 – 2019
- 2019
- [c72]Lorenzo Andraghetti, Panteleimon Myriokefalitakis, Pier Luigi Dovesi, Belén Luque, Matteo Poggi, Alessandro Pieropan, Stefano Mattoccia:
Enhancing Self-Supervised Monocular Depth Estimation with Traditional Visual Odometry. 3DV 2019: 424-433 - [c71]Fabio Tosi, Matteo Poggi, Stefano Mattoccia:
Leveraging Confident Points for Accurate Depth Refinement on Embedded Systems. CVPR Workshops 2019: 158-167 - [c70]Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano:
Real-Time Self-Adaptive Deep Stereo. CVPR 2019: 195-204 - [c69]Matteo Poggi, Davide Pallotti, Fabio Tosi, Stefano Mattoccia:
Guided Stereo Matching. CVPR 2019: 979-988 - [c68]Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia:
Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge. CVPR 2019: 9799-9809 - [c67]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 - [i11]Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia:
Learning monocular depth estimation infusing traditional stereo knowledge. CoRR abs/1904.04144 (2019) - [i10]Matteo Poggi, Davide Pallotti, Fabio Tosi, Stefano Mattoccia:
Guided Stereo Matching. CoRR abs/1905.10107 (2019) - [i9]Lorenzo Andraghetti, Panteleimon Myriokefalitakis, Pier Luigi Dovesi, Belén Luque, Matteo Poggi, Alessandro Pieropan, Stefano Mattoccia:
Enhancing self-supervised monocular depth estimationwith traditional visual odometry. CoRR abs/1908.03127 (2019) - [i8]Alessio Tonioni, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano:
Unsupervised Domain Adaptation for Depth Prediction from Images. CoRR abs/1909.03943 (2019) - [i7]Pier Luigi Dovesi, Matteo Poggi, Lorenzo Andraghetti, Miquel Martí, Hedvig Kjellström, Alessandro Pieropan, Stefano Mattoccia:
Real-Time Semantic Stereo Matching. CoRR abs/1910.00541 (2019) - [i6]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
- [j11]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) - [j10]Stefano Mattoccia, Branislav Kisacanin, Margrit Gelautz, Sek M. Chai, Ahmed Nabil Belbachir, Goksel Dedeoglu, Fridtjof Stein:
Guest Editorial: Special Issue on Embedded Computer Vision. J. Signal Process. Syst. 90(6): 873-876 (2018) - [c66]Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions. 3DV 2018: 324-333 - [c65]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 - [c64]Paolo Di Febbo, Carlo Dal Mutto, Kinh Tieu, Stefano Mattoccia:
KCNN: Extremely-Efficient Hardware Keypoint Detection With a Compact Convolutional Neural Network. CVPR Workshops 2018: 682-690 - [c63]Fabio Tosi, Matteo Poggi, Antonio Benincasa, Stefano Mattoccia:
Beyond Local Reasoning for Stereo Confidence Estimation with Deep Learning. ECCV (6) 2018: 323-338 - [c62]Filippo Aleotti, Fabio Tosi, Matteo Poggi, Stefano Mattoccia:
Generative Adversarial Networks for Unsupervised Monocular Depth Prediction. ECCV Workshops (1) 2018: 337-354 - [c61]Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia:
Towards Real-Time Unsupervised Monocular Depth Estimation on CPU. IROS 2018: 5848-5854 - [i5]Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia:
Towards real-time unsupervised monocular depth estimation on CPU. CoRR abs/1806.11430 (2018) - [i4]Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
Learning monocular depth estimation with unsupervised trinocular assumptions. CoRR abs/1808.01606 (2018) - [i3]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) - [i2]Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano:
Real-time self-adaptive deep stereo. CoRR abs/1810.05424 (2018) - 2017
- [c60]Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Alessio Tonioni, Luigi Di Stefano:
Learning confidence measures in the wild. BMVC 2017 - [c59]Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
Even More Confident Predictions with Deep Machine-Learning. CVPR Workshops 2017: 393-401 - [c58]Matteo Poggi, Stefano Mattoccia:
Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps. CVPR 2017: 4541-4550 - [c57]Alessio Tonioni, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano:
Unsupervised Adaptation for Deep Stereo. ICCV 2017: 1614-1622 - [c56]Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
Quantitative Evaluation of Confidence Measures in a Machine Learning World. ICCV 2017: 5238-5247 - [c55]Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
Efficient Confidence Measures for Embedded Stereo. ICIAP (1) 2017: 483-494 - 2016
- [c54]Matteo Poggi, Stefano Mattoccia:
Deep Stereo Fusion: Combining Multiple Disparity Hypotheses with Deep-Learning. 3DV 2016: 138-147 - [c53]Matteo Poggi, Stefano Mattoccia:
Learning a General-Purpose Confidence Measure Based on O(1) Features and a Smarter Aggregation Strategy for Semi Global Matching. 3DV 2016: 509-518 - [c52]Matteo Poggi, Stefano Mattoccia:
Learning from scratch a confidence measure. BMVC 2016 - [c51]Giulio Marin, Pietro Zanuttigh, Stefano Mattoccia:
Reliable Fusion of ToF and Stereo Depth Driven by Confidence Measures. ECCV (7) 2016: 386-401 - [c50]Matteo Boschini, Matteo Poggi, Stefano Mattoccia:
Improving the reliability of 3D people tracking system by means of deep-learning. IC3D 2016: 1-8 - [c49]Matteo Poggi, Stefano Mattoccia:
Evaluation of variants of the SGM algorithm aimed at implementation on embedded or reconfigurable devices. IC3D 2016: 1-8 - [c48]Matteo Poggi, Stefano Mattoccia:
A wearable mobility aid for the visually impaired based on embedded 3D vision and deep learning. ISCC 2016: 208-213 - [c47]Paolo Di Febbo, Stefano Mattoccia, Carlo Dal Mutto:
Real-time image distortion correction: Analysis and evaluation of FPGA-compatible algorithms. ReConFig 2016: 1-6 - [i1]Paolo Di Febbo, Stefano Mattoccia, Carlo Dal Mutto:
Real-Time Image Distortion Correction: Analysis and Evaluation of FPGA-Compatible Algorithms. CoRR abs/1610.09712 (2016) - 2015
- [c46]Stefano Mattoccia, Matteo Poggi:
A passive RGBD sensor for accurate and real-time depth sensing self-contained into an FPGA. ICDSC 2015: 146-151 - [c45]Matteo Poggi, Luca Nanni, Stefano Mattoccia:
Crosswalk Recognition Through Point-Cloud Processing and Deep-Learning Suited to a Wearable Mobility Aid for the Visually Impaired. ICIAP Workshops 2015: 282-289 - 2014
- [c44]Stefano Mattoccia, Ilario Marchio, Marco Casadio:
A Compact 3D Camera Suited for Mobile and Embedded Vision Applications. CVPR Workshops 2014: 195-196 - [c43]Stefano Mattoccia, Paolo Macri:
3D Glasses as Mobility Aid for Visually Impaired People. ECCV Workshops (3) 2014: 539-554 - [c42]Alessandro Muscoloni, Stefano Mattoccia:
Real-time tracking with an embedded 3D camera with FPGA processing. IC3D 2014: 1-7 - [c41]Stefano Mattoccia, Paolo Macri:
A Real Time 3D Sensor for Smart Cameras. ICDSC 2014: 29:1-29:6 - [c40]Stefano Mattoccia, Paolo Macri, Giacomo Parmigiani, Giuseppe Rizza:
A compact, lightweight and energy efficient system for autonomous navigation based on 3D vision. MESA 2014: 1-6 - 2013
- [c39]Stefano Mattoccia:
Stereo Vision Algorithms for FPGAs. CVPR Workshops 2013: 636-641 - 2012
- [j9]A. Aydin Alatan, Jörn Ostermann, Levent Onural, Ghassan Alregib, Stefano Mattoccia, Chunrong Yuan:
Introduction to the Issue on Emerging Techniques in 3-D. IEEE J. Sel. Top. Signal Process. 6(5): 409-410 (2012) - [j8]Wanli Ouyang, Federico Tombari, Stefano Mattoccia, Luigi Di Stefano, Wai-kuen Cham:
Performance Evaluation of Full Search Equivalent Pattern Matching Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 34(1): 127-143 (2012) - [c38]Carlo Dal Mutto, Pietro Zanuttigh, Stefano Mattoccia, Guido Maria Cortelazzo:
Locally Consistent ToF and Stereo Data Fusion. ECCV Workshops (1) 2012: 598-607 - 2011
- [j7]Stefano Mattoccia, Federico Tombari, Luigi Di Stefano:
Efficient template matching for multi-channel images. Pattern Recognit. Lett. 32(5): 694-700 (2011) - [c37]Carlo Dal Mutto, Pietro Zanuttigh, Guido M. Cortelazzo, Stefano Mattoccia:
Scene Segmentation Assisted by Stereo Vision. 3DIMPVT 2011: 57-64 - [c36]Stefano Mattoccia, Marco Viti, Florian Ries:
Near real-time Fast Bilateral Stereo on the GPU. CVPR Workshops 2011: 136-143 - [c35]Leonardo De-Maeztu, Stefano Mattoccia, Arantxa Villanueva, Rafael Cabeza:
Efficient aggregation via iterative block-based adapting support-weights. IC3D 2011: 1-5 - [c34]Stefano Mattoccia, Leonardo De-Maeztu:
A fast segmentation-driven algorithm for accurate stereo correspondence. IC3D 2011: 1-6 - [c33]Leonardo De-Maeztu, Stefano Mattoccia, Arantxa Villanueva, Rafael Cabeza:
Linear stereo matching. ICCV 2011: 1708-1715 - 2010
- [c32]Stefano Mattoccia:
Fast locally consistent dense stereo on multicore. CVPR Workshops 2010: 69-76 - [c31]Federico Tombari, Stefano Mattoccia, Luigi Di Stefano:
Stereo for robots: Quantitative evaluation of efficient and low-memory dense stereo algorithms. ICARCV 2010: 1231-1238 - [c30]Federico Tombari, Luigi Di Stefano, Stefano Mattoccia, Andrea Mainetti:
A 3D reconstruction system based on improved spacetime stereo. ICARCV 2010: 1886-1893 - [c29]Stefano Mattoccia:
Accurate Dense Stereo by Constraining Local Consistency on Superpixels. ICPR 2010: 1832-1835
2000 – 2009
- 2009
- [j6]Federico Tombari, Stefano Mattoccia, Luigi Di Stefano:
Full-Search-Equivalent Pattern Matching with Incremental Dissimilarity Approximations. IEEE Trans. Pattern Anal. Mach. Intell. 31(1): 129-141 (2009) - [c28]Stefano Mattoccia, Simone Giardino, Andrea Gambini:
Accurate and Efficient Cost Aggregation Strategy for Stereo Correspondence Based on Approximated Joint Bilateral Filtering. ACCV (2) 2009: 371-380 - [c27]Federico Tombari, Stefano Mattoccia, Luigi Di Stefano, Fabio Regoli, Riccardo Viti:
A Template Analysis Methodology to Improve the Efficiency of Fast Matching Algorithms. ACIVS 2009: 100-108 - [c26]Stefano Mattoccia, Federico Tombari, Luigi Di Stefano:
Enhanced Low-Resolution Pruning for Fast Full-Search Template Matching. ACIVS 2009: 109-120 - [c25]Stefano Mattoccia:
A locally global approach to stereo correspondence. ICCV Workshops 2009: 1763-1770 - 2008
- [j5]Stefano Mattoccia, Federico Tombari, Luigi Di Stefano:
Fast Full-Search Equivalent Template Matching by Enhanced Bounded Correlation. IEEE Trans. Image Process. 17(4): 528-538 (2008) - [c24]Pietro Azzari, Luigi Di Stefano, Stefano Mattoccia:
An Evaluation Methodology for Image Mosaicing Algorithms. ACIVS 2008: 89-100 - [c23]Federico Tombari, Luigi Di Stefano, Stefano Mattoccia, Andrea Zanetti:
Graffiti Detection Using a Time-Of-Flight Camera. ACIVS 2008: 645-654 - [c22]Luigi Di Stefano, Federico Tombari, Stefano Mattoccia, Matteo Balasso:
Multi-view Access Monitoring and Singularization in Interlocks. AVSS 2008: 143-150 - [c21]Federico Tombari, Stefano Mattoccia, Luigi Di Stefano, Elisa Addimanda:
Classification and evaluation of cost aggregation methods for stereo correspondence. CVPR 2008 - [c20]Stefano Mattoccia, Federico Tombari, Luigi Di Stefano:
Reliable rejection of mismatching candidates for efficient ZNCC template matching. ICIP 2008: 849-852 - [c19]Pietro Azzari, Luigi Di Stefano, Federico Tombari, Stefano Mattoccia:
Markerless Augmented Reality Using Image Mosaics. ICISP 2008: 413-420 - [c18]Federico Tombari, Stefano Mattoccia, Luigi Di Stefano, Elisa Addimanda:
Near real-time stereo based on effective cost aggregation. ICPR 2008: 1-4 - [c17]Federico Tombari, Luigi Di Stefano, Stefano Mattoccia, Angelo Galanti:
Performance Evaluation of Robust Matching Measures. VISAPP (1) 2008: 473-478 - 2007
- [c16]Stefano Mattoccia, Federico Tombari, Luigi Di Stefano:
Stereo Vision Enabling Precise Border Localization Within a Scanline Optimization Framework. ACCV (2) 2007: 517-527 - [c15]Federico Tombari, Luigi Di Stefano, Stefano Mattoccia:
A robust measure for visual correspondence. ICIAP 2007: 376-381 - [c14]Stefano Mattoccia, Federico Tombari, Luigi Di Stefano, Marco Pignoloni:
Efficient and optimal block matching for motion estimation. ICIAP 2007: 705-710 - [c13]Federico Tombari, Stefano Mattoccia, Luigi Di Stefano:
Segmentation-Based Adaptive Support for Accurate Stereo Correspondence. PSIVT 2007: 427-438 - 2006
- [c12]Federico Tombari, Stefano Mattoccia, Luigi Di Stefano:
Template Matching Based on the L_p Norm Using Sufficient Conditions with Incremental Approximations. AVSS 2006: 20 - 2005
- [j4]Luigi Di Stefano, Stefano Mattoccia, Federico Tombari:
ZNCC-based template matching using bounded partial correlation. Pattern Recognit. Lett. 26(14): 2129-2134 (2005) - [c11]Luigi Di Stefano, Stefano Mattoccia, Federico Tombari:
Speeding-up NCC-Based Template Matching Using Parallel Multimedia Instructions. CAMP 2005: 193-197 - 2004
- [j3]Luigi Di Stefano, Massimiliano Marchionni, Stefano Mattoccia:
A fast area-based stereo matching algorithm. Image Vis. Comput. 22(12): 983-1005 (2004) - [c10]Luigi Di Stefano, Stefano Mattoccia, Federico Tombari:
An Algorithm for Efficient and Exhaustive Template Matching. ICIAR (1) 2004: 408-415 - [c9]Luigi Di Stefano, Stefano Mattoccia, Martino Mola:
A Change-Detection Algorithm Enabling Intelligent Background Maintenance. ICIAR (2) 2004: 437-445 - 2003
- [j2]Luigi Di Stefano, Stefano Mattoccia:
Fast template matching using bounded partial correlation. Mach. Vis. Appl. 13(4): 213-221 (2003) - [c8]Luigi Di Stefano, Stefano Mattoccia, Martino Mola:
A Change-Detection Algorithm Based on Structure and Colour. AVSS 2003: 252- - [c7]Luigi Di Stefano, Stefano Mattoccia, Martino Mola:
An efficient algorithm for exhaustive template matching based on normalized cross correlation. ICIAP 2003: 322-327 - [c6]Luigi Di Stefano, Stefano Mattoccia:
A sufficient condition based on the Cauchy-Schwarz inequality for efficient template matching. ICIP (1) 2003: 269-272 - 2002
- [j1]Luigi Di Stefano, Stefano Mattoccia:
Real-Time Stereo within the VIDET Project. Real Time Imaging 8(5): 439-453 (2002) - [c5]Luigi Di Stefano, Massimiliano Marchionni, Stefano Mattoccia, Giovanni Neri:
Quantitative evaluation of area-based stereo matching. ICARCV 2002: 1110-1114 - [c4]Luigi Di Stefano, Massimiliano Marchionni, Stefano Mattoccia, Giovanni Neri:
Dense Stereo Based on the Uniqueness Constraint. ICPR (3) 2002: 657-661 - 2001
- [c3]Luigi Di Stefano, Stefano Mattoccia, Giovanni Neri, D. Piccinini:
Temporal Filtering of Disparity Measurements. ICIAP 2001: 145-150 - 2000
- [c2]Luigi Di Stefano, Stefano Mattoccia:
Fast Stereo Matching for the VIDET System using a General Purpose Processor with Multimedia Extensions. CAMP 2000: 356- - [c1]Paolo Arcara, Luigi Di Stefano, Stefano Mattoccia, Claudio Melchiorri, Gabriele Vassura:
Perception of Depth Information by Means of a Wire-Actuated Haptic Interface. ICRA 2000: 3443-3448
Coauthor Index
[j31] [j30] [j29] [j28] [c110] [c109] [c108] [c107] [c106] [i48] [i47] [i46] [i45] [i44] [i43] [j27] [j26] [j25] [c105] [c104] [c103] [c102] [c101] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [c92] [c91] [c90] [c89] [c88] [c87] [c86] [c85] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [j17] [j16] [j15] [c84] [c83] [c82] [i23] [i22] [i21] [i20] [j14] [j13] [j12] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [c72] [c71] [c70] [c69] [c68] [c67] [i11] [i10] [i9] [i8] [i7] [i6] [c66] [c65] [c63] [c62] [c61] [i5] [i4] [i3] [i2] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c50] [c49] [c48] [c46] [c45]
[j29] [j28] [c108] [c103] [c98] [i42] [i38] [j23] [c92] [c89] [c88] [i32] [i31] [i29] [j17] [j16] [c84] [i20] [j13] [c77] [i19] [i15] [c70] [i8] [c65] [i3] [i2] [c60] [c57] [j8] [j7] [c31] [c30] [j6] [c27] [c26] [j5] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [j4] [c11] [j3] [c10] [c9] [j2] [c8] [c7] [c6] [j1] [c5] [c4] [c3] [c2] [c1]
[j29] [j28] [c109] [c108] [i47] [i45] [j27] [j26] [c105] [c104] [c103] [c102] [c99] [c98] [c97] [c96] [c94] [i42] [i41] [i40] [i38] [i37] [i36] [i35] [i34] [j24] [j23] [j22] [j21] [j20] [j18] [c92] [c91] [c89] [c88] [i32] [i31] [i30] [i29] [i26] [j15] [c84] [i23] [i20] [j14] [j12] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [c71] [c70] [c69] [c68] [c67] [i11] [i10] [i6] [j11] [c66] [c65] [c63] [c62] [c61] [i5] [i4] [i3] [i2] [c60] [c59] [c56] [c55]
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